Keith White, HPE | HPE Discover 2022
>> Announcer: theCube presents HPE Discover 2022, brought to you by HPE. >> Hey, everyone. Welcome back to Las Vegas. This is Lisa Martin with Dave Vellante live at HPE Discover '22. Dave, it's great to be here. This is the first Discover in three years and we're here with about 7,000 of our closest friends. >> Yeah. You know, I tweeted out this, I think I've been to 14 Discovers between the U.S. and Europe, and I've never seen a Discover with so much energy. People are not only psyched to get back together, that's for sure, but I think HPE's got a little spring in its step and it's feeling more confident than maybe some of the past Discovers that I've been to. >> I think so, too. I think there's definitely a spring in the step and we're going to be unpacking some of that spring next with one of our alumni who joins us, Keith White's here, the executive vice president and general manager of GreenLake Cloud Services. Welcome back. >> Great. You all thanks for having me. It's fantastic that you're here and you're right, the energy is crazy at this show. It's been a lot of pent up demand, but I think what you heard from Antonio today is our strategy's changing dramatically and it's really embracing our customers and our partners. So it's great. >> Embracing the customers and the partners, the ecosystem expansion is so critical, especially the last couple of years with the acceleration of digital transformation. So much challenge in every industry, but lots of momentum on the GreenLake side, I was looking at the Q2 numbers, triple digit growth in orders, 65,000 customers over 70 services, eight new services announced just this morning. Talk to us about the momentum of GreenLake. >> The momentum's been fantastic. I mean, I'll tell you, the fact that customers are really now reaccelerating their digital transformation, you probably heard a lot, but there was a delay as we went through the pandemic. So now it's reaccelerating, but everyone's going to a hybrid, multi-cloud environment. Data is the new currency. And obviously, everyone's trying to push out to the Edge and GreenLake is that edge to cloud platform. So we're just seeing tons of momentum, not just from the customers, but partners, we've enabled the platform so partners can plug into it and offer their solutions to our customers as well. So it's exciting and it's been fun to see the momentum from an order standpoint, but one of the big numbers that you may not be aware of is we have over a 96% retention rate. So once a customer's on GreenLake, they stay on it because they're seeing the value, which has been fantastic. >> The value is absolutely critically important. We saw three great big name customers. The Home Depot was on stage this morning, Oak Ridge National Laboratory was as well, Evil Geniuses. So the momentum in the enterprise is clearly present. >> Yeah. It is. And we're hearing it from a lot of customers. And I think you guys talk a lot about, hey, there's the cloud, data and Edge, these big mega trends that are happening out there. And you look at a company like Barclays, they're actually reinventing their entire private cloud infrastructure, running over a hundred thousand workloads on HPE GreenLake. Or you look at a company like Zenseact, who's basically they do autonomous driving software. So they're doing massive parallel computing capabilities. They're pulling in hundreds of petabytes of data to then make driving safer and so you're seeing it on the data front. And then on the Edge, you look at anyone like a Patrick Terminal, for example. They run a whole terminal shipyard. They're getting data in from exporters, importers, regulators, the works and they have to real-time, analyze that data and say, where should this thing go? Especially with today's supply chain challenges, they have to be so efficient, that it's just fantastic. >> It was interesting to hear Fidelma, Keith, this morning on stage. It was the first time I'd really seen real clarity on the platform itself and that it's obviously her job is, okay, here's the platform, now, you guys got to go build on top of it. Both inside of HPE, but also externally, so your ecosystem partners. So, you mentioned the financial services companies like Barclays. We see those companies moving into the digital world by offering some of their services in building their own clouds. >> Keith: That's right. >> What's your vision for GreenLake in terms of being that platform, to assist them in doing that and the data component there? >> I think that was one of the most exciting things about not just showcasing the platform, but also the announcement of our private cloud enterprise, Cloud Service. Because in essence, what you're doing is you're creating that framework for what most companies are doing, which is they're becoming cloud service providers for their internal business units. And they're having to do showback type scenarios, chargeback type scenarios, deliver cloud services and solutions inside the organization so that open platform, you're spot on. For our ecosystem, it's fantastic, but for our customers, they get to leverage it as well for their own internal IT work that's happening. >> So you talk about hybrid cloud, you talk about private cloud, what's your vision? You know, we use this term Supercloud. This in a layer that goes across clouds. What's your thought about that? Because you have an advantage at the Edge with Aruba. Everybody talks about the Edge, but they talk about it more in the context of near Edge. >> That's right. >> We talked to Verizon and they're going far Edge, you guys are participating in that, as well as some of your partners in Red Hat and others. What's your vision for that? What I call Supercloud, is that part of the strategy? Is that more longer term or you think that's pipe dream by Dave? >> No, I think it's really thoughtful, Dave, 'cause it has to be part of the strategy. What I hear, so for example, Ford's a great example. They run Azure, AWS, and then they made a big deal with Google cloud for their internal cars and they run HPE GreenLake. So they're saying, hey, we got four clouds. How do we sort of disaggregate the usage of that? And Chris Lund, who is the VP of information technology at Liberty Mutual Insurance, he talked about it today, where he said, hey, I can deliver these services to my business unit. And they don't know, am I running on the public cloud? Am I running on our HPE GreenLake cloud? Like it doesn't matter to the end user, we've simplified that so much. So I think your Supercloud idea is super thoughtful, not to use the super term too much, that I'm super excited about because it's really clear of what our customers are trying to accomplish, which it's not about the cloud, it's about the solution and the business outcome that gets to work. >> Well, and I think it is different. I mean, it's not like the last 10 years where it was like, hey, I got my stuff to work on the different clouds and I'm replicating as much as I can, the cloud experience on-prem. I think you guys are there now and then to us, the next layer is that ecosystem enablement. So how do you see the ecosystem evolving and what role does Green Lake play there? >> Yeah. This has been really exciting. We had Tarkan Maner who runs Nutanix and Karl Strohmeyer from Equinix on stage with us as well. And what's happening with the ecosystem is, I used to say, one plus one has to equal three for our customers. So when you bring these together, it has to be that scenario, but we are joking that one plus one plus one equals five now because everything has a partner component to it. It's not about the platform, it's not about the specific cloud service, it's actually about the solution that gets delivered. And that's done with an ISV, it's done with a Colo, it's done even with the Hyperscalers. We have Azure Stack HCI as a fully integrated solution. It happens with managed service providers, delivering managed services out to their folks as well. So that platform being fully partner enabled and that ecosystem being able to take advantage of that, and so we have to jointly go to market to our customers for their business needs, their business outcomes. >> Some of the expansion of the ecosystem. we just had Red Hat on in the last hour talking about- >> We're so excited to partner with them. >> Right, what's going on there with OpenShift and Ansible and Rel, but talk about the customer influence in terms of the expansion of the ecosystem. We know we've got to meet customers where they are, they're driving it, but we know that HPE has a big presence in the enterprise and some pretty big customer names. How are they from a demand perspective? >> Well, this is where I think the uniqueness of GreenLake has really changed HPE's approach with our customers. Like in all fairness, we used to be a vendor that provided hardware components for, and we talked a lot about hardware costs and blah, blah, blah. Now, we're actually a partner with those customers. What's the business outcome you're requiring? What's the SLA that we offer you for what you're trying to accomplish? And to do that, we have to have it done with partners. And so even on the storage front, Qumulo or Cohesity. On the backup and recovery disaster recovery, yes, we have our own products, but we also partner with great companies like Veeam because it's customer choice, it's an open platform. And the Red Hat announcement is just fantastic. Because, hey, from a container platform standpoint, OpenShift provides 5,000 plus customers, 90% of the fortune 500 that they engage with, with that opportunity to take GreenLake with OpenShift and implement that container capabilities on-prem. So it's fantastic. >> We were talking after the keynote, Keith Townsend came on, myself and Lisa. And he was like, okay, what about startups? 'Cause that's kind of a hallmark of cloud. And we felt like, okay, startups are not the ideal customer profile necessarily for HPE. Although we saw Evil Geniuses up on stage, but I threw out and I'd love to get your thoughts on this that within companies, incumbents, you have entrepreneurs, they're trying to build their own clouds or Superclouds as I use the term, is that really the target for the developer audience? We've talked a lot about OpenShift with their other platforms, who says as a partner- >> We just announced another extension with Rancher and- >> Yeah. I saw that. And you have to have optionality for developers. Is that the way we should think about the target audience from a developer standpoint? >> I think it will be as we go forward. And so what Fidelma presented on stage was the new developer platform, because we have come to realize, we have to engage with the developers. They're the ones building the apps. They're the ones that are delivering the solutions for the most part. So yeah, I think at the enterprise space, we have a really strong capability. I think when you get into the sort of mid-market SMB standpoint, what we're doing is we're going directly to the managed service and cloud service providers and directly to our Disty and VARS to have them build solutions on top of GreenLake, powered by GreenLake, to then deliver to their customers because that's what the customer wants. I think on the developer side of the house, we have to speak their language, we have to provide their capabilities because they're going to start articulating apps that are going to use both the public cloud and our on-prem capabilities with GreenLake. And so that's got to work very well. And so you've heard us talk about API based and all of that sort of scenario. So it's an exciting time for us, again, moving HPE strategy into something very different than where we were before. >> Well, Keith, that speaks to ecosystem. So I don't know if you were at Microsoft, when the sweaty Steve Ballmer was working with the developers, developers. That's about ecosystem, ecosystem, ecosystem. I don't expect we're going to see Antonio replicating that. But that really is the sort of what you just described is the ecosystem developing on top of GreenLake. That's critical. >> Yeah. And this is one of the things I learned. So, being at Microsoft for as long as I was and leading the Azure business from a commercial standpoint, it was all about the partner and I mean, in all fairness, almost every solution that gets delivered has some sort of partner component to it. Might be an ISV app, might be a managed service, might be in a Colo, might be with our hybrid cloud, with our Hyperscalers, but everything has a partner component to it. And so one of the things I learned with Azure is, you have to sell through and with your ecosystem and go to that customer with a joint solution. And that's where it becomes so impactful and so powerful for what our customers are trying to accomplish. >> When we think about the data gravity and the value of data that put massive potential that it has, even Antonio talked about it this morning, being data rich but insights poor for a long time. >> Yeah. >> Every company in today's day and age has to be a data company to be competitive, there's no more option for that. How does GreenLake empower companies? GreenLake and its ecosystem empower companies to really live being data companies so that they can meet their customers where they are. >> I think it's a really great point because like we said, data's the new currency. Data's the new gold that's out there and people have to get their arms around their data estate. So then they can make these business decisions, these business insights and garner that. And Dave, you mentioned earlier, the Edge is bringing a ton of new data in, and my Zenseact example is a good one. But with GreenLake, you now have a platform that can do data and data management and really sort of establish and secure the data for you. There's no data latency, there's no data egress charges. And which is what we typically run into with the public cloud. But we also support a wide range of databases, open source, as well as the commercial ones, the sequels and those types of scenarios. But what really comes to life is when you have to do analytics on that and you're doing AI and machine learning. And this is one of the benefits I think that people don't realize with HPE is, the investments we've made with Cray, for example, we have and you saw on stage today, the largest supercomputer in the world. That depth that we have as a company, that then comes down into AI and analytics for what we can do with high performance compute, data simulations, data modeling, analytics, like that is something that we, as a company, have really deep, deep capabilities on. So it's exciting to see what we can bring to customers all for that spectrum of data. >> I was excited to see Frontier, they actually achieve, we hosted an event, co-produced event with HPE during the pandemic, Exascale day. >> Yeah. >> But we weren't quite at Exascale, we were like right on the cusp. So to see it actually break through was awesome. So HPC is clearly a differentiator for Hewlett Packard Enterprise. And you talk about the egress. What are some of the other differentiators? Why should people choose GreenLake? >> Well, I think the biggest thing is, that it's truly is a edge to cloud platform. And so you talk about Aruba and our capabilities with a network attached and network as a service capabilities, like that's fairly unique. You don't see that with the other companies. You mentioned earlier to me that compute capabilities that we've had as a company and the storage capabilities. But what's interesting now is that we're sort of taking all of that expertise and we're actually starting to deliver these cloud services that you saw on stage, private cloud, AI and machine learning, high performance computing, VDI, SAP. And now we're actually getting into these industry solutions. So we talked last year about electronic medical records, this year, we've talked about 5g. Now, we're talking about customer loyalty applications. So we're really trying to move from these sort of baseline capabilities and yes, containers and VMs and bare metal, all that stuff is important, but what's really important is the services that you run on top of that, 'cause that's the outcomes that our customers are looking at. >> Should we expect you to be accelerating? I mean, look at what you did with Azure. You look at what AWS does in terms of the feature acceleration. Should we expect HPE to replicate? Maybe not to that scale, but in a similar cadence, we're starting to see that. Should we expect that actually to go faster? >> I think you couched it really well because it's not as much about the quantity, but the quality and the uses. And so what we've been trying to do is say, hey, what is our swim lane? What is our sweet spot? Where do we have a superpower? And where are the areas that we have that superpower and how can we bring those solutions to our customers? 'Cause I think, sometimes, you get over your skis a bit, trying to do too much, or people get caught up in the big numbers, versus the, hey, what's the real meat behind it. What's the tangible outcome that we can deliver to customers? And we see just a massive TAM. I want to say my last analysis was around $42 billion in the next three years, TAM and the Azure service on-prem space. And so we think that there's nothing but upside with the core set of workloads, the core set of solutions and the cloud services that we bring. So yeah, we'll continue to innovate, absolutely, amen, but we're not in a, hey we got to get to 250 this and 300 that, we want to keep it as focused as we can. >> Well, the vast majority of the revenue in the public cloud is still compute. I mean, not withstanding, Microsoft obviously does a lot in SaaS, but I'm talking about the infrastructure and service. Still, well, I would say over 50%. And so there's a lot of the services that don't make any revenue and there's that long tail, if I hear your strategy, you're not necessarily going after that. You're focusing on the quality of those high value services and let the ecosystem sort of bring in the rest. >> This is where I think the, I mean, I love that you guys are asking me about the ecosystem because this is where their sweet spot is. They're the experts on hyper-converged or databases, a service or VDI, or even with SAP, like they're the experts on that piece of it. So we're enabling that together to our customers. And so I don't want to give you the impression that we're not going to innovate. Amen. We absolutely are, but we want to keep it within that, that again, our swim lane, where we can really add true value based on our expertise and our capabilities so that we can confidently go to customers and say, hey, this is a solution that's going to deliver this business value or this capability for you. >> The partners might be more comfortable with that than, we only have one eye sleep with one eye open in the public cloud, like, okay, what are they going to, which value of mine are they grab next? >> You're spot on. And again, this is where I think, the power of what an Edge to cloud platform like HPE GreenLake can do for our customers, because it is that sort of, I mentioned it, one plus one equals three kind of scenario for our customers so. >> So we can leave your customers, last question, Keith. I know we're only on day one of the main summit, the partner growth summit was yesterday. What's the feedback been from the customers and the ecosystem in terms of validating the direction that HPE is going? >> Well, I think the fantastic thing has been to hear from our customers. So I mentioned in my keynote recently, we had Liberty Mutual and we had Texas Children's Hospital, and they're implementing HPE GreenLake in a variety of different ways, from a private cloud standpoint to a data center consolidation. They're seeing sustainability goals happen on top of that. They're seeing us take on management for them so they can take their limited resources and go focus them on innovation and value added scenarios. So the flexibility and cost that we're providing, and it's just fantastic to hear this come to life in a real customer scenario because what Texas Children is trying to do is improve patient care for women and children like who can argue with that. >> Nobody. >> So, yeah. It's great. >> Awesome. Keith, thank you so much for joining Dave and me on the program, talking about all of the momentum with HPE Greenlake. >> Always. >> You can't walk in here without feeling the momentum. We appreciate your insights and your time. >> Always. Thank you you for the time. Yeah. Great to see you as well. >> Likewise. >> Thanks. >> For Keith White and Dave Vellante, I'm Lisa Martin. You're watching theCube live, day one coverage from the show floor at HPE Discover '22. We'll be right back with our next guest. (gentle music)
SUMMARY :
brought to you by HPE. This is the first Discover in three years I think I've been to 14 Discovers a spring in the step and the energy is crazy at this show. and the partners, and GreenLake is that So the momentum in the And I think you guys talk a lot about, on the platform itself and and solutions inside the organization at the Edge with Aruba. that part of the strategy? and the business outcome I mean, it's not like the last and so we have to jointly go Some of the expansion of the ecosystem. to partner with them. in terms of the expansion What's the SLA that we offer you that really the target Is that the way we should and all of that sort of scenario. But that really is the sort and leading the Azure business gravity and the value of data so that they can meet their and secure the data for you. with HPE during the What are some of the and the storage capabilities. in terms of the feature acceleration. and the cloud services that we bring. and let the ecosystem I love that you guys are the power of what an and the ecosystem in terms So the flexibility and It's great. about all of the momentum We appreciate your insights and your time. Great to see you as well. from the show floor at HPE Discover '22.
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Jadesola Adedeji, STEM METS | Women in Tech: International Women's Day
(upbeat instrumental music) >> Hey, everyone, welcome to theCUBE's coverage of the International Women Showcase 2022. I'm your host, Lisa Martin. I'm pleased to welcome my next guest, Jadesola Adedeji, the Chief Executive Officer of STEM METS. Jadesola, it's wonderful to have you on the program. >> Thank you so much, Lisa. It's great to be here, thank you. >> I was looking you up on LinkedIn and I noticed that your profile describes you as a social entrepreneur. Talk to me about that. >> Well, basically, the idea is that we are a business but we are in the social segment. And of course, that segment for us is education, which is obviously is one of the critical, you know, things that you need in life to thrive and to progress. So it's a social need and we are in that space trying to make a difference and bridge a gap that is in the education sector, which is around digital skills, 21st century skills. >> Jadesola, talk to me about STEM METS, the impetus to found this organization which you and a physician friend founded seven years ago. What was the genesis? >> Okay, so about 10 years ago, my husband and I moved back to Nigeria from North America, where we'd been working and studying. And we decided that we would take our experience and education back home, as well as our young kids, who were six and 10 at the time. But when we got home, what we found was a broken and impoverished educational system. And Nigeria was, you know, essential in our own foundational years. So it was really shocking and disappointing that our education system hadn't moved with the 21st century. A lot of our youth were leaving school without the relevant skills for them to get meaningful jobs. So my co-founder and I decided to do something about that by bringing in a different and more up-to-date way of learning and teaching, which was in STEM education. And so that's how we started, so both of us had a STEM background and we decided that, well, we would do something or attempt to do something about the state of our education in Nigeria. And so that's how we started. >> I love that. And you were talking to me a little bit earlier about the enrollment rate of students. Share with the audience what some of those statistics are and why this STEM METS program is so pivotal. >> Mm hmm. So as I said earlier, there are about 80 million school-age children in Nigeria. There are 10 million children that are out of school, of which about 50 to 60% are actually girls. So we are already at a disadvantage regarding our female population and even diversity in education. And so for us, we saw it as being bad enough that we can't even get into school and then when we get into school, you're not getting quality education. You get an education, but not sufficient enough with skills to get you meaningful jobs. And so for us, STEM education was the answer to trying to bring up the quality of our education and making sure that what the learning that was going on was relevant to the 21st century, which is innovation-driven, which is technology-driven, and combining that with soft skills that are required for the future workplace or even a life in entrepreneurship. And so, that's what we did in response to that. >> Tell us a little bit about the curriculum. And also, are you focused on young, school-age children, primary school, high school? >> Sure. So the great thing about what we do is that early years is essential, we feel, because those are the foundational years when the brain is developing. So we run programs for children from ages three to 16 and we run a variety of programs, so anything from construction with Lego, robotics, coding, UX design, sound and technology, just to be able to show the array of skills and modules that are available under the STEM umbrella, and also be able to showcase the diversity in terms of career options that are available to the children in our community. >> Who are some of the educators? Because one of the things that we say often when we talk about women in STEM and women in tech or some of the challenges with respect to that is, we can't be what we can't see. Talk to me about some of the mentors or the educators within STEM METS that these young girls can have a chance, as young as three, to look up to. >> Well, so that's the thing. So, I think fundamentally, our co-founders, myself and my co-founder were pivotal in terms of positioning ourselves as role models. We're female, we both had a STEM background. And then, secondly, our educators. Not being sexist, but about 90% of our educators are female. So we train them. We make sure they have the skills that they require to also implement our programs. And that is a secondary way of also showcasing to the children and the girls that we are teaching, that look, you know, STEM isn't just for boys. These are live and present role models that you can aspire to be. And we also felt that it was essential for us to recruit from the female pool, and it also helps working mothers. So they are able to look after their family, as well as still earn an income to support their families. Otherwise, they would have to give up one or the other. And because our programs are supplementary classes and we run them as after school clubs or holiday clubs, they are able to manage their time and their family accordingly. So we see what we are doing as two programs. We are educating the kids, we are educating the girls, but we're also capacity building in terms the female work force. So yes, we think that what we're doing is just really feeding the female ecosystem and just ensuring that we are developing women with relevant skills. >> So she can be what she can see because you're enabling her to see it. Talk to me about like the number of educators versus the number of girls that are in the program so far in the first seven years. >> Okay, so to date, we've reached about 10,000 learners, of which I would say about 40% are female. Obviously, our aim is to be sure that that number increases. So we're quite targeted in some of our programs, particularly the ones that we take to low-resource community. We are supported by brands from organizations such as Airbus Foundation, so that enables us to take our programs to the low-resource community and we ensure that the enrollment and the sign-up is equitable, ensuring that the girls also have access to it. >> I'm curious about your background. You said you were 20 years in the pharmaceutical industry. Were you always interested in STEM fields since you were a child or is that something that you got into a little bit later? >> Actually I think unconsciously, well, since I was a child. In our culture, at least then when I was growing up, you were either a doctor, or an engineer, or a lawyer. So there were specific pathways. So if you were in the liberal arts, you were expected to go into maybe law. If you were in science, engineering, or medicine. So I went down the pathway of pharmacy as a sort of in-between because I wasn't very good at physics so engineering wasn't an option. But I think growing up, you know, I felt that we had role models that we could also look up to, so going into the STEM field was something that, you know, was somewhat natural actually in my educational journey. Yeah, so that's how I got into the STEM field, encouraged by my dad actually. You know, he said, "You know, if you're going to "go into a life science sector, "make sure you have something that is professional, "something that can make you independent." So my career started in the pharma industry but then I ended up running my own businesses, as well, so I had a couple of pharmacies in Canada when we lived there. So I ran that as a businesswoman, but still in the life science field. >> So you've reached 10,000 youths so far and you're showing them all about STEM. STEM is a very broad mix of science, technology, engineering, mathematics, arts, as well, if we go to the STEAM area. So you're showing these kids there's so much breadth and depth there within the STEM in and of itself. >> Exactly. So that's why we oftentimes ensure that we have a variety of programs. So, and also, educating the parents and the public that STEM does not mean you're going to be a coder. You know, you can be a graphic designer, you could be a fashion designer even, UX design, you could be a robotics engineer, you could be a pharmacist. You know, so we try and bring in programs that just exposes them to a huge array of career options. One of the programs we brought in last year was a program that Spotify runs, which combines sound and technology. So making beats, making podcasts, and in there was literacy, as well. How do you pull rhymes together? You know, if you wanted to, you know, so music production, sound production, you know, writing poems and literacy. So the idea there is to say the skill sets are transferrable not just within the STEM field but also non-STEM field. So let's not forget, it's not just a technical skills development program. We are learning critical thinking, communication, problem solving, collaboration, how can you work effectively, resilience. So they are life skills that are also incorporated into the concept of STEM education. >> That's so important because as you shared with us, your 20-year history in the pharmaceutical industry, you ran businesses, you ran own pharmacies, you parlayed your expertise in the STEM field into running STEM METS. But what you're showing these kids that you've reached so far and all the many tens of thousands that you'll reach in the future that it's not just doctor, lawyer, firefighter. There are so many, I love how you have a program with Spotify. Kids probably go, "Wait, what? "Music production? "I wouldn't have thought of that "as under the STEM umbrella." But you're showing them, you're making them aware that there's so much breadth to what STEM actually is. >> Exactly, and I think the idea is to inspire creativity and innovation. That there's always a different way to do things. And so, STEM education is actually developing learning and thinking skills. You know, it's not just rote learning or cramming or theory. And you're applying it to real-life situations and real-life scenarios. So, I always say that our vision is to raise future leaders and problem solvers and equip them with skills to tackle challenges affecting our continent, as well as the world. So those skill sets are terribly important really and have a mindset of viewing everything as bringing solutions to any potential challenges that you may face, even personally. >> Which is incredibly important, especially as we've learned in the last two years that we've all lived through. I'm curious that you've got two kids you said, are they showing interest in the STEM arena? >> We are actually quite a STEM family. So my husband's background is in chemical engineering. My son just finished his undergrad in computer science and is doing a post-grad in computer games programming. My daughter is going to university this fall and she's looking into biochemical engineering. So I think the STEM thing was passed along. Not under duress, I think they just showed a general affinity for that. But I mean, we exposed them to a plethora of different programs so we are here now. >> And you're a STEM family. But that exposure is what it's all about, like we talked a minute ago about, you know, she can be what she can see. She needs to be able to see that, she needs to have that exposure, and that's what you're helping to accomplish with the STEM METS. Talk to me, last question. What are some of the objectives that you have for the next, say, two to five years with STEM METS? >> So for us in the next two to five years is really looking for opportunities to extend the reach of our program. With COVID, obviously we had to pivot online so we're seeing ourselves now as a blended learning education company. So we want to build out our online presence and capability. We definitely are looking to reaching about five to 10 thousand learners per year so we're really looking at, you know, our path to scaling. And that could be things like trainer sessions where we also equip our teachers, who then go on to equip students in their community or in their schools, as well. So path to scaling is really important to us and we are looking to see how technology can help us do that. >> Excellent. Well, we wish you the best of luck on your path to scale, and congratulations on all the success and the youths that you have reached so far. Sounds like a great organization and we appreciate learning about that and having the chance to educate more folks on what the STEM METS program is all about. Jadesola, thank you so much for your time. >> Thank you, Lisa. For Jadesola Adedeji, I'm Lisa Martin. You're watching theCUBE's coverage of the International Women Showcase 2022. (upbeat instrumental music)
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Prakash Darji, Pure Storage | CUBE Conversations, May 2021
[Music] welcome to thecube's coverage of pure accelerate 2021 i'm lisa martin pleased to be welcoming back one of our alumni to the cube prakash darjee is here the vp and gm of the digital experience business unit at pure storage prakash it's great to have you back on the program yeah lisa thanks for having me it's been i don't know more than a year since i've seen the cube right pre-covered so it's been a little while recover copa remember those days well thank you for joining us virtually we appreciate that and also excited to hear some of the things that are going to be coming out at accelerate an event that i've covered in person several times so talk to me about this digital experience business unit this is relatively new what does it encompass what are you hoping to deliver from a portfolio perspective to your customers well what's interesting is it's new and it's not right because we've we've been as a company a sas company that happened to ship storage boxes on premise so we've had pure one which was largely used for monitoring and supporting our fleet like a sas company would do and customers had access to that as their single pane of class but as we expanded beyond just observability and monitoring we realized that we could use this observability to do more for customers and we introduced our pure as a service offering about three years ago now which customers just sign up for slas like you know they would on a cloud you sign up i want this performance i want this capacity it's storage so you know why don't you just sign up for what you need and we uh created the dx business unit the digital experience business units to bring those things together because frankly we're using pier one to monitor manage and allow customers to sign up for their slas in a very digital way and i guess the world's changed a little bit because you know previously you would you know call up your sales rep to do things and then it happened and i think a lot of people got a little bit of zoom fatigue um and therefore you know we see a lot of traction right now in terms of people just self-serving and going up and signing up for the slas they need talk to me about some of those slas that customers are signing up for what is it that they know with pure as a service for example in pure one that they can get well you want storage you want storage that's high performing you want storage that supports your applications you know number one thing with storage is you're signing up for capacity and performance right when you think storage you're like oh you know i need to store my videos or i need to store my apps or i need to store something and you know right now we've got customers and uh you know multiple hundreds of petabytes range right like big customers lots of storage um and we got small customers as well you know five to ten terabytes of storage as well so um but across that entire range in storage you're basically want to make sure you don't lose your data it's protected it's safe um the world's becoming a little less secure ransomware and attacks and all of those types of things so we've introduced concepts of ransomware assessment and capabilities like that but the performance of capacity are the two things you want to sign up for so what if you just said i want it this fast and i want this much space and all of the other technology problems you give to pure right because you know what you run out of space we'll ship the box we'll manage it you don't need to call us you don't need to order you don't need to do that so it's more than just a i think when people think about services they think about subscriptions right capex versus opex and sure there's an element to capex versus optics but that's not really what a service is that's just a subscription a service is hey i just want this performance in this capacity who's going to run it and operate it and manage it for me you know when you sign up for a sas service you don't really care when you sign up for salesforce how it runs who's running it etc you just want to manage your crm pipeline and you know we're bringing that same sas experience to storage you do expect that you bring up a good point when you're when you're talking about sas applications one of the things that we saw in the last year is this massive proliferation or acceleration of companies in every industry dependent on so many sas apps just for collaboration alone internally let alone externally brought up ransomware it's something i've been talking a lot about in the last year how that's been on the rise talk to me about you know as enterprise enterprises need storage to do more than just that talk to me about how you're working with customers to ensure that this data across the enterprise is secure well so it's interesting um when i talk to people and they ask me are you secure i'm like well that's kind of a silly question um because you know if you think about security there's always more you could do it's not am i secure it's how secure am i and you want to be the nsa where everything's under a lock and key you can do that and it's just going to be really expensive to do so the what we're the way we're approaching it is we're giving customers levels of ransomware that they can actually implement um for protection level zero right the simplest is make sure that i've got you know an air gap of my data and a copy of it to prevent you from altering it for up to 30 days or some time period which you know is the first level of threat that you know someone can't hold you hostage by encrypting your data those types of things and we've done that for our whole portfolio we provide that and we now even give customers an assessment to tell them you know whether they can go into our digital experience and do an assessment to see how secure are they but that's only the first step hackers are actually getting more sophisticated now on air gap and just saying well what if i do a time delayed encryption thing that overcomes the 30-day thing and you know like the world's evolving so the next level is a physical gap where you take it off the primary system and you actually put it on a secondary system your data well so you know your virtual air gaps one thing your physical distance provides another layer of security because now it's another physical asset with another copy of your data sure it costs more money because you're storing it twice so you have to decide based on the sensitivity of your information how many layers of security you want to build it you can even build in a third layer that says if something happens i don't want to pay the ransomware i just need to be able to recover quickly so let me have a rapid recovery sla and you know we use our flash play to deliver that because it's one of the you know fastest recovery products on the planet based on the performance threshold so you know we've seen a lot of companies now adopt and use flashblade is kind of that level three for rapid recovery in instead of paying for the insurance they're paying for the remediation you know what i mean so it's a different it's interesting how the landscape has evolved right and as the threat actors have access to more and more sophistication obviously that becomes a challenge but you bring up a good point and that is it's sort of it's not a matter of is it going to happen to us it's it's when and it's kind of that tolerance level based on the data but the modern data experience here's been talking about this obviously the modern data experience has changed a lot in the last year talk to us about what that is how does the modern data experience are pure one and pure as a service foundational to that and talk to me about the benefits in it for customers well so when we think about the modern data experience there's really three pillars we talk about in the modern day experience the first one is just innovation leadership pure's got a little bit of a history of redefining storage first of all flash first the unified fast fallen object you know we're on a third generation of qlc technology so we figure if we don't invent the future who else is going to you know we look around the landscape and there's a lot of data technology so we need to invent a future that people have a blueprint to copy like and that's that's our goal of modernizing the landscape you know we don't see a lot of original and innovative thought happening in the industry so we have to create the blueprint of the future right we pride ourselves on that innovation leadership um and evergreen which you know we've introduced is an innovation where you know if people buy a 500 terabytes of storage today they don't have to re-buy it every three to five years that innovation that we introduced is still unmatched in industry after we've been in industry for 10 years because companies haven't figured out how to copy it evergreen is still a differentiator it sounds like the modern data experience what you're looking to do is also define it with and for customers and have that be a unique differentiator for what care delivers 100 um so you know this innovation leadership's big um making sure that you can run your landscape like a cloud you know have a service catalog you know service catalog for developers as containers and you know we we lean very heavily into what we're doing for devops and developers not just storage administrators and you know part of the modern data experience is being cloud ready and container ready and then finally just having the best digital experience which you know pier one and peer piers of services foundational tube uh where customers can go in procure easy support easy and all of it starts with the data like if i was to say hey you're gonna get a get into a tesla right and you're gonna turn on the self-driving mode would you turn it on if you knew that there were zero miles clocked on the odometer right where no like yeah you're the first we haven't really trained this yet right no one would turn that on so for you to be able to offer a digital experience and a service experience to a customer it's all about miles driven and since we've introduced pier one five years ago you know now on a yearly basis we're collecting over 20 petabytes of data tons of signals training the algorithms around giving customers recommendations which we've been doing now customers can get performance recommendations and upgrade recommendations and now we've used the recommendations are such high fidelity that because of our miles driven we're using that internally to run and operate our services on behalf of customers and when companies think about disruptive events let me take my old portfolio and create a new one you're resetting the odometer at zero so without something like evergreen it makes no sense in terms of how do you get to as a service you can get to capex versus opex right and you know we were the first people to do that in storage with peers of service three plus years ago but we've moved beyond a financial offering now to talk about you know how do you run and operate performance and capacity slas well your point is so much more that customers need especially as there's more and more data being generated um you know the edge is exploding iot devices are exploding and there's more challenges that customers have to do but it's also being able to get those fast insights from data to be able to make those data-driven decisions which it sounds like what you're doing from all of the mileage that pure1 and pure as a service have so talk to me about some of the things that are being announced with respect to the digital experience of pure one at accelerate so there's three primary announcements um we've moved beyond observability first to do assessments so you know we can now say you know instead of just monitoring and watching what's going on we can give you a threat level assessment specific to ransomware that's a new capability we're introducing we've also been you know in monitoring monitoring storage and monitoring virtual machines for a while but we've if you take a look at how people deploy on storage they deploy vms and they deploy containers we've seen very little like they also have bare metal right but between those three now you cover how people are using storage from a deployment model and we've brought container monitoring into pier one for end-to-end traceability monitoring for you know both your container landscape as well as your storage landscape underneath with our flash frame flash plate so you know this observability and assessment space has a lot of new capabilities we're bringing the second piece is recommendations so previously we've had this data and customers could go into pure one and use the data they could simulate adding performance they could simulate adding capacity they could simulate moving this workload from here to here but now instead of you doing it we've we've created a recommendation engine where we'll tell you what to do because we actually tracked you know how much time is spent with people trying to figure out what to do there were times when storage admins were in the products like let me try moving it from here to here and see what would happen let me try moving it from here to here if you've got thousands of volumes and hundreds of arrays and that type of thing um you could spend weeks trying to figure out what to do by running permutational combinatorics so instead we've used our ai engine now to simulate taking into account customer preference load capacity previous buying patterns etc to create high fidelity recommendations for performance capacity placing new workloads workflow rebalancing and even for pure as a service which sla should i sign up for when you go to amazon one of the biggest problems on the on the cloud is too much choice there's like 300 items on the service catalog even in storage there's like i don't know 20 30 options of should i pick this storage type or this storage type for that storage type how do you even know um because we've been the miles driven analogy because we now know how customers have been deploying you can choose your workloads and based on what we've seen based on the wisdom of what we've collected across all the other customers we can tell you which service instance type you need so this recommendation approach is big and then the last one is self-service so customers now can control and set their reserved instances expand set their renewals we've even introduced a partner persona where partners can manage things on behalf of a customer and see transparency in billing and order traffic so all of those things that you're used to in kind of a commerce and a cloud experience we've brought that to traditional storage so some pretty big changes there and i like how how here has always been very bold in defining its differentiators using its own data to make better decisions as you you said customers have a ton of choice which is great it's also challenging at the same time for them to be able to understand objectively what is it that my environment needs talk to me a little bit about some of the changes that you saw in the last year as companies shifted almost overnight to a remote working situation can't get into my data center what are some of the ways in which pure has helped organizations with the advancements that you've made in your services portfolio well so the first thing we did and we did this kind of literally i think last february when you know everything immediately went into lockdown we introduced a zero touch provisioning category you don't want people in the data data data center right you like you need to obviously if there's physical stuff you have to rack stack and cable but beyond that everything else should be zero touch and so we've introduced zero patch provisioning capability immediately and some of like the largest uh one of the largest you know video conferencing providers on the planet um happened to call us immediately saying look we can't even get stuff to keep up with the demand and overnight we were able to go ahead and work with them to you know get them the efficiency that they needed so you know if i take a look at our supply chain throughout covid we were able you know to meet most shipments in some four days throughout covid even in a globally disrupted supply chain because of the agility and the flexibility we have in our portfolio and frankly just a phenomenal supply chain team as well so you know that that approach has engendered a ton of trust whenever you do anything like you know in this environment covid pandemic etc people are under stress it creates stress for human beings it even creates stress for families right have two small children it creates stress [Music] what do you how do you get through that stress all the things that are unnecessary are things you just forget about and to get the things that are necessary done you go to the people you trust so that's a great that's a great point you bring up about trust because that is table stakes for an organization to trust its partners or its customers to be able to trust that it's going to deliver what it needs it's no longer a nice to have i think this one of the things that coveted clement has shown us is that it's absolutely essential last question progression i want to get to you is let's talk about ai ops for a second we're seeing more and more organizations turning to ai ops for more intelligent operations what is it what are some of the benefits that pure can deliver in that response well look i have a lot of opinions on aiops but the first one is like saying aaiops now was like saying web 2.0 a few years ago right um it's a hot term everyone likes to talk about it and very few people actually do anything real ai right it's like well let me tell you something so as you think about aiops today you need to first get the data in the miles driven manner the second thing you need to do is you could use that data and create a ton of recommendations that you tell send to customers and you will be the equivalent of facebook ads right like click click click click click some of these are relevant some of these aren't right if all you do is create recommendations you're creating a spam flow to your customers the number one thing to really make it learning based is if someone rejects a recommendation you now have to collect that and train your algorithms to say you know what this person doesn't need that right and maybe the other person accepted that same recommendation and they do so the time isn't just about data collection and miles driven but the amount of recommendations that customers accept and reject can train and personalize how you do your ai operations and i feel like this economy because aiops is hot everyone's just like i have ai ops and it's just so facetious you need to think about how you're going to continually evolve and train and learn and who's going to train the way you train support is support personnel and bug fixes you need to monitor how your support personnel fixes things to be able to replicate and have higher efficiencies and support so even small customers can get the same level of support as the large customers because you know it's not like the big guys get 50 people and the small guys only get one right you need to use software as the great equalizer and the same thing goes in sales when you're approaching customers with offers and recommendations or when customers whether they need performance or capacity the fidelity matters and data and technology will only go so far you need to use the human feedback loop to train your ai if you don't do that you're missing the concept of machine learning agreed to last question since we have about 30 seconds left or so talk to me about how pure is going to continue to utilize ai and to your point not just throw out recommendations but actually have learning going on so that the right relevant offers for example can be delivered to the right customer at the right time well we pride ourselves on simplicity and customer first right our net promoter score is you know one of the top trust scores in the industry and because of that we've got a very vibrant and active customer community that goes into you know pure one on a daily basis to monitor the landscape to see what's going on to create support cases whatever it may be and because of that we're going to continue engaging and learning from our customers and you know i think you can't do it without the trust and you know a large portion of our business is large sas providers so you know you think about you know very very large sas companies we service them because of our evergreen model and now bringing this level of predictability creates a level of efficiency for sas companies um that means they could do more with less and that's what this industry is about well said prakash thank you so much for joining me at your our coverage of accelerate excited to see what's going on with the modern data experience how you're getting in there and working and partnering with customers using the data to learn and tweak and improve uh excited to hear some of the other stuff that comes up but i appreciate you joining me this morning thanks for having me lisa i enjoy the conversation excellent for prakash darjee i'm lisa martin you're watching thecube's coverage of pure accelerate 2021.
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Sandeep Singh, HPEv2
(smooth music) >> Hi, everybody. This is Dave Vellante, and with me is Sandeep Singh. He's the vice president of storage marketing at Hewlett Packard Enterprise, and we're going to riff on some of the trends in the industry, what we're seeing, and we got a little treat for you, Sandeep. Great to see you, man. >> Dave, it's a pleasure to be here. >> You and I have known each other for a long time. We've had some great discussions, some debates, (chuckles) some intriguing mind benders. What are you seeing out there in storage? So much has changed. What are the key trends you're seeing? And let's get into it. >> Yeah. Across the board, as you said, so much has changed. When you reflect back at the underlying transformation that's taking place with data, cloud, and AI across the board, first of all, for our customers, they're seeing this massive data explosion that literally now spans edge to core to cloud. They're also seeing a diversity of the application workloads across the board. The emphasis that it's placing is on the complexity that underlies overall infrastructure and data management. Across the board, we're hearing a lot from customers about just the underlying infrastructure and complexity, and the infrastructure sprawl. And then the second element of that is really extending into the complexity of data management. >> So it's interesting to talk about data management. You remember you and I were in... Well, you were in Andover. I don't know. It was probably like five years ago. And all we were talking about was media, flash this and flash that, and at the time that was kind of the hot storage topic. Well, flash came in, addressed some of the clicks that we historically talked about. Now the problem statement is really kind of, quote unquote, metaphorically moving up the stack, if you will. You mentioned management. But let's dig into that a little bit. I mean, what is management? I mean, a lot of people... That means different things to different people. You talk to a database person or a backup person. How do you look at management? What does that mean to you? >> Yeah, Dave. You mentioned that flash came in, and it actually accelerated the overall speed and latency that storage was delivering to the application workloads. But fundamentally, when you look back at storage over a couple of decades, the underlying way of how you're managing storage hasn't fundamentally changed. There's still an incredible amount of complexity for ITs. It's still a manual admin-driven experience for customers. And what that's translating to is, more often than not, IT is in the world of firefighting, and it leaves them unable to help with the more strategic projects to innovate for the business. And basically IT has that pressure point of moving beyond that, and helping bring greater levels of agility that line of business owners are asking for, and to be able to deliver on more of the strategic projects. So that's one element of it. The second element that we're hearing from customers about is as more and more data just continues to explode from edge to core to cloud, and as basically the infrastructure has grown from just being on-prem, to being at the edge, to being in the cloud, now that complexity is expanding from just being on-prem to across multiple different clouds. So when you look across the data life cycle, how do you store it? How do you secure it? How do you basically protect it, and archive it, and analyze that data? That end to end life cycle management of data, today resides on just a fragmented set of overall infrastructure, and tools, and processes, and administrative boundaries. That's creating a massive challenge for customers. And the impact of that, ultimately, is essentially comes at a cost to agility, to innovation, and ultimately business risk. >> Yeah, so we've seen obviously the cloud has addressed a lot of these problems, but the problem is the cloud is in the cloud. And much of my stuff, most of my stuff, isn't in the cloud. (chuckles) So I have all these other workloads that are either on-prem, and now you've got this emerging edge. And so I wonder if we could just talk a little vision here for a minute. I mean, what I've been envisioning is this abstraction layer that cuts across all, whether... It doesn't really matter where it is. If it's on-prem, if it's across cloud, if it's in the cloud, on the edge. We could talk about what that all means. But if customers that I talk to, they're sort of done with the complexity of that underlying infrastructure. They want technology to take care of that. They want automation. They want AI brought into that equation. And it seems like we're on the cusp of the decade where that might happen. What's your take? >> Well, yeah. Certainly, I mentioned that data cloud and AI are really the disruptive forces that are propelling the digital transformation for customers. Cloud has set the standard for agility, and AI-driven insights and intelligence are really helping to make the underlying infrastructure invisible. And yet a lot of their application workloads and data is on-prem and is increasingly growing at the edge. So they want that same experience to be able to truly bring that agility to wherever their data and apps load. And that's one of the things that we're continuing to hear from customers. >> And this problem's just going to get worse. I mean, we... For decades we marched to the cadence of Moore's law, and everybody's kind of forgets about Moore's law. And they'll say, "Ah, it's dying," or whatever. But actually, when you look at the processing power that's coming out now, it's not... It's more than doubling every two years, quadrupling every two years. So now you've got this capability in your hands, and application designers, storage companies, networking companies, they're going to have all this power to now bring in AI and do things that we've never even imagined before. So it's not about the box, and the speeds and feeds of the box. It's really more about this abstraction layer that I was talking about, the management, if you will, that you were discussing, and what we can do in terms of being able to power new workloads, machine intelligence. It's this kind of ubiquitous... Call it the cloud, but it's expanding pretty much everywhere in every part of our lives, (chuckles) even to the edge. You think about autonomous vehicles, you think about factories. It's actually quite mind boggling where we're headed. >> It is, and you touched upon AI, and certainly when you look at infrastructure, for example, there's been a ton of complexity in infrastructure management. One of the studies that was done, actually by IDC, indicated that over 90% of the challenges that arise, for example, ultimately down at the storage infrastructure layer that's powering the apps, ultimately, arises from way above the stack all the way from the server layer on down, or even the virtual machine layer. And there, for example, AI ops for infrastructure has become a game changer for customers to be able to bring the power of AI, and machine learning, and multi-variate analysis to be able to predict and prevent issues. Dave, you also touched upon edge, and across the board, what we're seeing is the enterprise edge is becoming that frontier for customer experiences, and the opportunity to reimagine customer experiences, as well as just the frontier for commerce that's happening when you look at retail, and manufacturing, and/or financial services. So across the board, with the data growth that's happening, and this edge becoming the strategic frontier for delivering the customer experiences, how you power your application workloads there, how you deliver that data, and protect that data, and be able to seamlessly manage that overall infrastructure, as you mentioned, abstracted away at a higher level, becomes incredibly important for our customers. >> It's so interesting to hear how the conversation's changing, I'd like to say. I go back to whatever it was, five years ago, we're talking about flash, storage class memory, and NVMe, and those things are still there, but your emphasis now, you're talking about machine learning, AI, math around deep learning. It's really software is really what you're focusing on these days. >> Very much so. Certainly, this notion of software and services that are delivering and unlocking a whole new experience for customers, that's really the game changer going forward for customers, and that's what we're focused on. >> Well, I said we had a little surprise for you. So you guys are having an event on May 4th. It's called Unleash the Power of Data. What's that event all about, Sandeep? >> Yeah. We are very much excited about our May 4th event. As you mentioned, it's called Unleash the Power of Data. And as most organizations today are data driven, and data is at the heart of what they're doing, we're excited to invite everyone to join this event. And through this event, we're unveiling a new vision for data that accelerates the data-driven transformation from edge to cloud. This event promises to be a pivotal event, and one that IT admins, cloud architects, virtual machine admins, vice-presidents, directors of IT, and CIOs really won't want to miss. Across the board, this event is just bringing a new way of articulating the overall problem statement, and a market-in focused the articulation of the trends that we were just discussing. It's an event that's going to be hosted by business and technology journalist, Shibani Joshi. It will feature a market-in panel with a focus on the crucial role that data is playing in customers' digital transformation. It will also include and feature Antonio Neri, CEO of HPE, and Tom Black, senior vice president and general manager of HPE storage business, and industry experts, including Julia Palmer, research vice president at Gartner. We will unveil game-changing HPE innovations that will make it possible for organizations across edge to cloud to unleash the power of data. >> Sounds like a great event. I presume I can go to hpe.com. And what? Get information. Is it a registered event? How does that all work? >> Yeah, we invite everyone to visit hpe.com, and by visiting there, you can click and save the date of May 4th at 8:00 AM Pacific. We invite everyone to join us. We couldn't be more excited to get to this event, and be able to share the vision and game-changing HPE innovations. >> Awesome. So it's... So I don't have to register, right? I don't have to give up my three children's name, and my social security number to attend your event, is that right? (chuckles) >> No registration required. Come by, click on hpe.com. Save the date on your calendar. And we very much look forward to having everyone join us for this event. >> I love it. It's pure content event. I'm not going to get a phone call afterwards saying, "Hey, buy some stuff from me." That could come other channels, so that's good. (chuckles) Thank you for that. Thanks for providing that service to the industry. I'm excited to see what you guys are going to be announcing that day. And look, Sandeep, I mean, like I said, we've known each other a while. We've seen a lot of trends, but the next 10 years, it ain't going to look like the last 10, is it? >> It's going to be very different, and we couldn't be more excited. >> Well, Sandeep, thanks so much for coming to theCUBE, and riffing with me on the industry, and giving us a preview for your event. Good luck with that, and always great to see you. >> Thanks a lot, Dave. Always great to see you as well. >> All right, and thank you, everybody. This is Dave Vellante for theCUBE, and we'll see you next time. (smooth music)
SUMMARY :
in the industry, what we're seeing, What are the key trends you're seeing? and AI across the board, and at the time that was kind and to be able to deliver on of the decade where that might happen. And that's one of the things and the speeds and feeds of the box. and the opportunity to It's so interesting to hear and services that are It's called Unleash the Power of Data. and data is at the heart I presume I can go to hpe.com. and be able to share the vision So I don't have to register, right? Save the date on your calendar. I'm excited to see what you guys It's going to be very different, and always great to see you. Always great to see you as well. and we'll see you next time.
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Sandeep Singh, HPE
(upbeat music) >> Hi everybody, this is Dave Volante. And with me is Sandeep Singh, he is the vice president of Storage Marketing at Hewlett Packard Enterprise. And we're going to riff on some of the trends in the industry, what we're seeing. And we got a little treat for you. Sandeep, great to see you man. >> Dave, it's a pleasure to be here. >> You and I've known each other for a long time. We've had some great discussions, some debates, some intriguing mind benders. What are you seeing out there in Storage? So much has changed. What are the key trends you're seeing and let's get into it. >> Yeah, across the board, as you said, so much has changed. When you reflect back at the underlying transformation that's taken place with data, cloud and AI across the board. First of all, for our customers they're seeing this massive data explosion that literally now spans edge to core to cloud. They're also seeing a diversity of the application workloads across the board. And the emphasis that it's placing is on the complexity that underlies overall infrastructure and data management. Across the board, we're hearing a lot from customers about just the underlying infrastructure complexity and the infrastructure sprawl. And then the second element of that is really extending into the complexity of data management. >> So it's interesting you're talking about data management. You remember you and I, we were in Andover. It was probably like five years ago and all we were talking about was media. Flash this and flash that, and at the time that was kind of the hot storage topic. Well, flash came in addressing some of the mics that we historically talked about it. Now the problem statement is really kind of quote unquote metaphorically moving up the stack if you will, you mentioned management but let's dig into that a little bit. I mean, what is management? I mean, a lot of people that means different things to different people. You talk to a database person or a backup person. How do you look at management? What does that mean to you? >> Yeah, Dave, you mentioned that the flash came in and it actually accelerated the overall speed and latency that storage was delivering to the application workloads. But fundamentally when you look back at storage over a couple of decades the underlying way of how you're managing storage hasn't fundamentally changed. There's still an incredible amount of complexity for IT. It's still a manual admin driven experience for customers. And what that's translating to is more often than not IT is in the world of firefighting and it's leaves them unable to help with them more strategic projects to innovate for the business. And basically IT has that pressure point of moving beyond that and helping bring greater levels of agility that line of business owners are asking for and to be able to deliver on more of the strategic projects. So that's one element of it. The second element that we're hearing from customers about is as more and more data just continues to explode from edge to core to cloud. And as basically the infrastructure has grown from just being on-Prem to being at the Edge to being in the cloud. Now that complexity is expanding from just being on-Prem to across multiple different clouds. So when you look across the date data life cycle how do you store it? How do you secure it? How do you basically protect it and archive it and analyze that data. That end to end life cycle management of data today resides on just a fragmented set of overall infrastructure and tools and processes and administrative boundaries. That's creating a massive challenge for customers. And the impact of that ultimately is essentially comes at a cost to agility, to innovation and ultimately business risk. >> Yeah, so we've seen obviously the cloud has addressed a lot of these problems but the problem is the cloud is in the cloud and much of my stuff, most of my stuff, isn't in the cloud. So I have all these other workloads that are either on-Prem and now you've got this emerging Edge. And so I wonder if we could just talk a little vision here for a minute. I mean what I've been envisioning is this abstraction layer that cuts across all weather. It doesn't really matter where it is. If it's on-Prem, if it's across cloud, if it's in the cloud, on the edge, we could talk about what that all means. But if customers that I talked to they're sort of done with the complexity of that underlying infrastructure. They want technology to take care of that. They want automation they want AI brought in to that equation. And it seems like we're from the cusp of the decade where that might happen. What's your take? >> Well, yeah, certainly I mentioned that data cloud and AI are really the disruptive forces, better propelling. The digital transformation for customers. Cloud has set the standard for agility and AI driven insights and intelligence are really helping to make the underlying infrastructure invisible and customers are looking for this notion of being able to get that cloud operational agility pretty much everywhere because they're discovering that that's a game changer. And yet a lot of their application workloads and data is on-Prem and is increasingly growing at the edge. So they want same experience to be able to truly bring that agility to wherever their data in absolute. And that's one of the things that we're continuing to hear from customers. >> And this problem is just going to get worse. I mean for decades we marched to the cadence of Moore's Law and everybody's going to forgets about Moore's Law. And say, "Ah, it's dying or whatever." But actually when you look at the processing power that's coming out now, it's more than doubling every two years, quadrupling every two years. So now you've got this capability in your hands and application design minors, storage companies, networking companies. They're going to have all this power to now bring in AI and do things that we've never even imagined before. So it's not about the box and the speeds and feeds of the box. It's really more about this abstraction layer that I was talking about. The management if you will that you were discussing and what we can do in terms of being able to power new workloads in machine intelligence, it's this kind of ubiquitous, call it the cloud but it's expanding pretty much everywhere in every part of our lives even to the edge you think about autonomous vehicles, you think about factories it's actually quite mind boggling where we're headed. >> It is and you touched upon AI. And certainly when you look at infrastructure, for example there's been a ton of complexity in infrastructure management. One of the studies that was done actually by IDC indicated that over 90% of the challenges that arise, for example ultimately down at the storage infrastructure layer that's powering the apps ultimately arises from way above the stack all the way from the server layer on down where even the virtual machine layer. And there, for example, AIOps for infrastructure has become a game changer for customers to be able to bring the power of AI and machine learning and multi-variate analysis to be able to predict and prevent issues. Dave, you also touched upon Edge and across the board. What we're seeing is the Enterprise Edge is becoming that frontier for customer experiences and the opportunity to reimagine customer experiences as well as just the frontier for commerce that's happening. When you look at retail and manufacturing and or financial services. So across the board with the data growth that's happening and this Edge becoming the strategic frontier for delivering the customer experiences how you power your application workloads there and how you deliver that data and protect that data and be able to seamlessly manage that overall infrastructure. As you mentioned abstracted away at a higher level becomes incredibly important for customers. >> So interesting to hear how the conversations changed. I'd like to say, I go back to whatever it was five years ago, we're talking about flash storage class memory, NVMe and those things are still there but your emphasis now you're talking about machine learning, AI, math around deep learning. It's really software is really what you're focusing on these days. >> Very much so. Certainly this notion of software and services that are delivering and unlocking a whole new experience for customers that's really the game changer going forward for customers. And that's what we're focused on. >> Well, I said we had a little surprise for you. So you guys are having an event on May 4th. It's called Unleash The Power of Data. What's that event all about Sandeep? >> Yeah. We are very much excited about our May 4th event. As you mentioned, it's called Unleash The Power of Data. And as most organizations today are data driven and data is at the heart of what they're doing. We're excited to invite everyone to join this event. And through this event we're unveiling a new vision for data that accelerates the data driven transformation from Edge to cloud. This event promises to be a pivotal event and one that IT admins, cloud architects, virtual machine admins, vice presidents, directors of IT and CIO really won't want to mess. Across the board this event is just bringing a new way of articulating the overall problem statement and in market in focused the articulation of the trends that we were just discussing. It's an event that's going to be hosted by a Business and Technology Journalist, Shabani Joshi. It will feature a market in panel with a focus on the crucial role that data is playing in customers digital transformation. It will also include and feature Antonio Neary, CEO of HPE and Tom black, senior vice president and general manager of HPE Storage Business and industry experts including Julia Palmer, research vice president at Gartner. We will unveil game changing HPE innovations that will make it possible for organizations across Edge to cloud to unleash the power of data. >> Sounds like great event. I presume I can go to hpe.com and get information, is it a registered event? How does that all work? Yeah, we invite everyone to visit hpe.com and by visiting there you can click and save the date of May 4th at 8:00 AM Pacific. We invite everyone to join us. We couldn't be more excited to get to this event and be able to share the vision and game-changing HPE innovations. >> Awesome. So I don't have to register, right? I don't have to give up my three children's name and my social security number to attend your event. Is that right? >> No registration required, come by, click on hpe.com. Save the date on your calendar. And we very much look forward to having everyone join us for this event. >> I love it, it's pure content event. I'm not going to get a phone call afterwards saying, "Hey, buy some stuff from me." That could come other channels but so that's good. Thank you for that. Thanks for providing that service to the industry. I'm excited to see what you guys are going to be announcing that day and look Sandeep. I mean, like I said, we've known each other a while. We've seen a lot of trends but the next 10 years it ain't going to look like the last 10 is it? >> It's going to be very different and we couldn't be more excited. >> Well, Sandeep, thanks so much for coming to theCube and riffing with me on the industry and giving us a preview for your event. Good luck with that. And always great to see you. >> Thanks a lot, Dave. Always great to see you as well. >> All right. And thank you everybody. This is Dave Volante for theCube and we'll see you next time. (upbeat music)
SUMMARY :
Sandeep, great to see you man. What are the key trends you're and the infrastructure sprawl. and at the time and to be able to deliver on But if customers that I talked to and AI are really the disruptive and everybody's going to and the opportunity to So interesting to hear how and services that are So you guys are having and data is at the heart and save the date of May I don't have to give up Save the date on your calendar. I'm excited to see what It's going to be very different And always great to see you. Always great to see you as well. And thank you everybody.
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Robert Stellhorn & Rena B Felton | IBM Watson Health ASM 2021
>>Welcome to this IBM Watson health client conversation here. We're probing the dynamics of the relationship between IBM and its clients. And we're looking back, we're going to explore the present. We're going to discuss the future state of healthcare. My name is Dave Volante from the Cuban with me are Robert Stell horn. Who's associate director, H E O R at sukha, otherwise known as pharmaceuticals, America and Rena Felton. Who's with of course, IBM Watson health. Welcome folks. Great to have you. Hi, so like strong relationships, as we know, they're the foundation of any partnership. And of course over the past year, we've had to rely on both personal and professional relationships to get us through some of the most challenging times, if not the most challenging times of our lives. So let me start with you, Robert, how has the partnership with IBM helped you in 2020? >>I think it was just a continuation of the excellent relationship we have with Rena and IBM. Um, starting in March, we had really a shift to an all remote, uh, workplace environment. And I think that constant communication with Rina and IBM helped that situation because she kept us up to date with, uh, additional products and offerings. And basically we came up with some additional solutions towards the end of the year. So we're gonna watch >>Pick it up from here. Let's go, let's go a little bit deeper and maybe you can talk about some of the things that you've done with Robert and his team and, and maybe some of the accomplishments that you're most proud of in 2020. >>No, absolutely. And I have to kind of echo what you first said about the foundation and our partnerships being the foundation, um, of our past present and future. So I do want to take the opportunity to thank Rob again for joining us today. It is, um, I know, you know, with his kids home and remote learning, um, it's a lot, uh, to, to ask in addition to, you know, your day to day work. So, so thank you, Rob. Um, I guess the question that I have for you is what would be the greatest accomplishment, um, that Watseka and IBM Watson had in 2020? >>I would say it was the addition of the linked claims EMR data, the LDCD product that we were able to license in-house, uh, thanks to your attention and to show the advantages and the strengths of that data. We are able to license that in to our, uh, set up assets we have internally. And what that's gonna allow us to do is really find out more information about the patients. Uh, we're existing users of the Mark IBM, uh, market scan data. Um, this is going to allow us to tie into those same patients and find out more about them. Um, in particular, uh, a lot of our products are in the mental health space and a lot about standing questions we have are why are the patients getting different products? And with the notes are available in that link data. We're going to now be able to tap into more information about what is happening with the patient. >>Okay. Can I ask a question on that? Um, if you guys don't mind, I mean, you know, when you, when you hear about, you know, uh, EMR, uh, in the early days, it was a lot about meaningful use and getting paid. It sounds like you guys are taking it much deeper and as a, as a, you know, as an individual, right, you're, you're really happy to hear that this information is now going to be used to really improve, uh, healthcare is, do I have that right? Is that, you know, kind of the nature of where you guys are headed? >>Well, I think ultimately it's the, the, the, the main goal is to help the patients and provide the products that can really, um, help them in their daily lives. So, um, really with this data, now, we're going to be able to tap into more of the why, um, exist in claims data. We cannot really get that information, why VC information, about what diagnoses they incurred during their treatment history. And we also can see, uh, different prescriptions that are given to them, but now we're going to be able to tie that together and get more understanding to really see more focused treatment pattern for them. >>So, Reno, w w you sit down with Rob, do you have like a, sort of a planning session for 2021? Why don't you sort of bring us up to, uh, to what your thinking is there and how you guys are working together this year? >>Yeah, no, absolutely. Um, actually, before we get to that, I wanted to kind of add onto what Rob was saying as well. It's interesting given, you know, the pandemic in 2020 and what the LCD data is going to do, um, to really be able to look back. And as Rob mentioned, looking specifically at mental health, the ability to look back and start looking at the patients and what it's really done to our community and what it's really done to our country, um, and looking at patients, you know, looking back at, at sort of their, their patient journey and where we are today. Um, but Rob and I talk all the time, we talk all the time, we probably talk three or four times a day sometimes. So I would say, um, we, we text, uh, we do talk and have a lot of our strategic, um, sessions, uh, our outlook for 2021 and what the data strategy is for Otsuka. Um, in addition, additional data assets to acquire from IBM, as well as how can we sort of leverage brander IBM, um, assets like our red hat, our OpenShift, our cloud-based solutions. So, you know, Rob and I are constantly talking and we are, um, looking for new ways to bring in new solutions into Otsuka. Um, and you know, yeah, we, we, we talk a lot. What do you think, Rob? >>I think we have an excellent partnership. Uh, basically, um, I think their relationship there is excellent. Um, we have excellent communication and, you know, I find when there's situations where I may be a bind Reno's is able to help out instantly. Um, so it's, it's really a two way street and it's an excellent partnership. >>I wonder if I could double click on that. I mean, relative to maybe some of your, I mean, I'm sure you have lots of relationships with lots of different companies, but, but what makes it excellent specifically with regard to IBM? Is there, is there anything unique Rob, that stands out to you? >>It would be the follow-up, um, really, it's not just about, uh, delivering the data and say, okay, here you have your, your product work with it in basically the, the, the vendor disappears, it's the constant followup to make sure that it's being used in any way they can help and provide more information to really extract the full value out of it. >>So I'm gonna forget to ask you guys, maybe each of you, you know, both personally and professionally, I feel like, you know, 20, 20 never ended it just sort of blended in, uh, and, and, but some things have changed. We all talk about, geez, what's going to be permanent. How have you each been affected? Um, how has it helped you position for, for what's coming in in the years ahead, maybe Reena, you could start and then pick it up with, with Rob. >>Oh man. Um, you know, 2020 was definitely challenging and I think it was really challenging given the circumstances and in my position where I'm very much used to meeting with our customers and having lunch and really just kind of walking down the hallways and bumping into familiar faces and really seeing, you know, how we can provide value with our solutions. And so, you know, that was all stripped in 2020. Uh, so it's been, it's been quite challenging. I will say, working with Rob, working with some of my other customers, um, I've had, uh, I've had to learn the resilience and to be a little bit more relentless with phone calls and follow ups and, and being more agile in my communications with the customers and what their needs are, and be flexible with calendars because there's again, remote learning and, and, um, and the like, so I think, you know, positioned for 2021 really well. Um, I am excited to hopefully get back out there and start visiting our customers. But if not, I certainly learned a lot and just, um, the follow-up and again, the relentless phone calls and calling and checking up on our customers, even if it's just to say, hi, see how everyone's doing a mental check sometimes. So I think that's, that's become, um, you know, what 2020 was, and, and hopefully, you know, what, 2021 will be better and, uh, kind of continue on that, that relentless path. >>What do you think, Rob? Hi, how are you doing? >>I would echo a lot of Rina's thoughts and the fact of, yeah, definitely miss the in-person interaction. In fact, I will say that I remember the last time I was physically in the office that Scott, it was to meet with Rina. So I distinctively remember that they remember the date was March, I believe, March 9th. So it just shows how this year as has been sort of a blur, but at the same time, you remember certain milestones. And I think it's because of that relationship, um, we've developed with IBM that I can remember those distinctive milestones and events that took place. >>So Rob, I probably should have asked you upfront, maybe tell us a little bit about Alaska, uh, maybe, maybe give us the sort of quick soundbite on where you guys are mostly focused. Sure. >>Oh, it's guys, uh, a Japanese pharmaceutical company. The focus is in mental health and nephrology, really the two main business areas. Um, my role at guys to do the internal research and data analytics within the health economics and outcomes research group. Um, currently we are transitioned to a, uh, name, which is global value and real world evidence. Um, fact that transition is already happened. Um, so we're going to have more of a global presence going forward. Um, but my role is really to, uh, do the internal research across all the brands within the company. >>So, so Rena, I wonder this, thank you for that, Robert. I wonder if you could think, thinking about what you know about Scott and your relationship with Robin, your knowledge of, of the industry. Uh, there's so much that IBM can bring to the table. Rob was talking about data earlier, talking about EMR, you were talking about, you know, red hat and cloud and this big portfolio you have. So I wonder if you could sort of start a conversation for our audience just around how you guys see all those assets that you have and all the knowledge, all that data. How do you see the partnership evolving in the future to affect, uh, the industry and the, in the future of healthcare? >>Well, I would love to see, um, the entire, uh, uh, platform, um, shift to, to the IBM cloud, um, and certainly, you know, leverage the cloud pack and analytics that, that we have to offer, um, baby steps most definitely. Um, but I do think that there is, uh, the opportunity to really move, um, and transform the business into something a lot more than, than what it is. >>Rob has the pandemic effected sort of how you think about, um, you know, remote services and cloud services and the, like, were you already on the path headed there? Did accelerate things, have you, you know, have you not had time because things have been so busy or maybe you could comment? >>Yeah, I think it's really a combination. And so I think you hit on a, a fair point there, just the time, uh, aspect. Um, it's definitely been a challenge and your, um, I have two children and remote learning has definitely been a challenge from that perspective. So time has definitely been, uh, on the short side. Um, I do see that there are going to in the future be more and more users of the data. So I think that shift to a potential cloud environment is where things are headed. >>So we, I have a bunch more questions, but I want to step back for a second and see if there's anything that you'd like to ask Rob before I go onto my next section. Okay. So I wonder if you could think about, um, maybe both of you, the, the, when you think back on, on 2020 and all the, you know, what's transpired, what, what transitions did you guys have to make? Uh, maybe as a team together IBM and Alaska. Um, and, and, and what do you see as sort of permanent or semi-permanent is work from home? We're gonna going to continue at a higher rate, uh, are there new practice? I mean, I know just today I made an online appointment it's for a remote visit with my doctor, which never could have happened before the pandemic. Right. But are there things specific to your business and your relationship that you see as a transition that could be permanent or semi-permanent? >>Well, I, I think it's there, there's definitely a shift that's happened that will is here to stay, but I don't know if it's full, it's going to be a combination in the future. I think that in-person interactions, especially what Rena mentioned about having that face-to-face interaction is still going to be one things are in the right place and safe they're going to happen again. But I think the ability to show that work can happen in a virtual or a full remote workplace, that's going to just allow that to continue and really give the flex of people. The flexibility I know for myself, flexibility is key. Like I mentioned, with two small children, um, that, that, that becomes such a valuable addition to your work, your life and your work life in general, that I think that's here to stay. >>Okay. Um, so let me ask you this, uh, w one of the themes of this event is relentless re-invention. So what I'm hearing from you Rob, is that it kind of a hybrid model going forward, if you will, uh, maybe the option to work from home, but that face to face interaction, especially when you're creating things like you are in the pharmaceutical business and the deep R and D that collaborative aspect, you know, you, it's harder when you're, when, when, when you're remote. Um, but maybe you could talk about, you know, some of those key areas that you're, you're going to be focused on in 2021 and, and really where you would look for IBM to help. >>I think in 2021, the team I'm part of it, part of is, is growing. So I think there's going to be additional demand for internal research, uh, uh, capabilities for analysis done within the company. So I think I'm going to be looking to Rena to, uh, see what new data offerings are available and all what new products are going to be available. But beyond that, um, I think it's the potential that, you know, there's so much, uh, projects, um, that are going to be coming to the table. We may need to outsource some of that projects and IBM could be potentially be a partner there to do some of the analysis on to help out there. >>Anything you'd add. >>Uh, no, I think that, that sounds good. >>How would you grade IBM and your relationship with IBM Rob? >>Well, I have to be nice to Rina cause she's been very nice to me. I would say an a, an a plus >>My kids, I got kids in college. Several, they get A's, I'm happy. Oh, that's good. You know, you should be proud. So, congratulations. Um, anything else Reno, you give you, I'll give you a last word here before we wrap, >>You know, 2020 was, was a challenging. And, you know, we talked a little bit about, you know, what time in 2020, you know, Rob and I have always had a really good relationship. I think 2020, we got closer, um, with just both professionally and really diving in to key business challenges that they have, and really working with him to understand what the customer needs are and how we can help, not only from, you know, an HR perspective, but also how can we help Otsuka, um, as a company in, in totality. So, you know, we've been able to do that, but personally, I would say that I really appreciated the relationship. I mean, we can go from talking about work to talking about children, to talking about family, um, all in the same five minute conversation or 10 minute conversation, sometimes our conversation. So, you know, thank you, Rob 2020 was definitely super challenging. >>I know for you on so many levels. Um, but I have to say you've been really great at just showing up every time picked up the phone, asked questions. If I needed something I can call you, I knew you were going to pick up, I had an offering and be like, do you have 10 minutes? Can I share this with you? And you would pick up the phone, no problem, and entertain a call or set up a call with all your internal colleagues. And I, I appreciate that so much. And, you know, I appreciate our relationship. I appreciate the business and I, I do hope that we can continue on in 2021, we will continue on in 2021. Uh, but, um, but yeah, I thank you so much. >>Rain has been extremely helpful. I don't want to thank you for all the help. Um, just to add to that one point there, you know, we have, uh, also another product, which I forgot to mention that we licensed in from IBM, it's the treatment pathways, um, tool, which is an online tool. Um, and we have users throughout the globe. So there's been times where I've needed a new user added very quickly for someone in the home office in Japan. And Rena has been extremely helpful in getting things done quickly and very proactively. >>Well, guys, it's really clear that the depth of your relationship I'm interested that you actually got closer in 2020. Uh, the fact that you communicate, you know, several times a day is I think Testament to that relationship. Uh, I'm really pleased to hear what you're doing and the potential with the EMR data for patient outcomes. Uh, as I say in the early days, I used to hear all about how well you have to do that to get paid. And it's really great to see a partnership that's, that's really focused on, on, on patient health and, and changing our lives. So, and mental health is such an important area that for so many years was so misunderstood and the, and the data that we now have, and of course, IBM's heritage and data is key. Uh, the relationship and the follow-up and also the flexibility is, is something I think we all learned in 2020, we have to, we've kind of redefined, you know, resilience in our organizations and, uh, glad to see you guys are growing. Congratulations on the relationship. And thanks so much for spending some time with me. >>Thank you. Thank you, Dave. Thank you, Raina >>For watching this client conversation with IBM Watson health.
SUMMARY :
Robert, how has the partnership with IBM helped you in 2020? I think it was just a continuation of the excellent relationship we have with Rena and IBM. Let's go, let's go a little bit deeper and maybe you can talk about some of the things that you've done with Robert And I have to kind of echo what you first said about the foundation and our partnerships Um, this is going to allow us to tie into those same Um, if you guys don't mind, I mean, you know, when you, when you hear about, So, um, really with this data, now, we're going to be able to tap into Um, and you know, yeah, we, we, and, you know, I find when there's situations where I may be a bind Reno's is able to help out instantly. I mean, relative to maybe some of your, I mean, I'm sure you have lots of relationships with lots of different uh, delivering the data and say, okay, here you have your, So I'm gonna forget to ask you guys, maybe each of you, you know, both personally and professionally, So I think that's, that's become, um, you know, what 2020 was, And I think it's because of that relationship, um, we've developed with IBM that uh, maybe, maybe give us the sort of quick soundbite on where you guys are mostly focused. Um, currently we are transitioned to a, I wonder if you could think, thinking about what um, and certainly, you know, leverage the cloud pack and analytics And so I think you hit on a, a fair point there, Um, and, and, and what do you see as sort of permanent But I think the ability to show that work can happen in a virtual and D that collaborative aspect, you know, you, it's harder when you're, when, I think it's the potential that, you know, there's so much, uh, Well, I have to be nice to Rina cause she's been very nice to me. Reno, you give you, I'll give you a last word here before we wrap, and how we can help, not only from, you know, an HR perspective, but also how can we help Otsuka, I know for you on so many levels. I don't want to thank you for all the help. Uh, the fact that you communicate, you know, several times a day is I think Testament to that relationship. Thank you.
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Mike Miller, AWS | 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, >>Hi. We are the Cube live covering AWS reinvent 2020. I'm Lisa Martin, and I've got one of our cube alumni back with me. Mike Miller is here. General manager of A W s AI Devices at AWS. Mike, welcome back to the Cube. >>Hi, Lisa. Thank you so much for having me. It's really great to join you all again at this virtual reinvent. >>Yes, I think last year you were on set. We have always had to. That's at reinvent. And you you had the deep race, your car, and so we're obviously socially distance here. But talk to me about deepracer. What's going on? Some of the things that have gone on the last year that you're excited >>about. Yeah, I'd love to tell. Tell you a little bit about what's been happening. We've had a tremendous year. Obviously, Cove. It has restricted our ability to have our in person races. Eso we've really gone gone gangbusters with our virtual league. So we have monthly races for competitors that culminate in the championship. Um, at reinvent. So this year we've got over 100 competitors who have qualified and who are racing virtually with us this year at reinvent. They're participating in a series of knockout rounds that are being broadcast live on twitch over the next week. That will whittle the group down to AH Group of 32 which will have a Siris of single elimination brackets leading to eight finalists who will race Grand Prix style five laps, eight cars on the track at the same time and will crown the champion at the closing keynote on December 15th this year. >>Exciting? So you're bringing a reinforcement, learning together with with sports that so many of us have been missing during the pandemic. We talked to me a little bit about some of the things that air that you've improved with Deep Racer and some of the things that are coming next year. Yeah, >>absolutely so, First of all, Deep Racer not only has been interesting for individuals to participate in the league, but we continue to see great traction and adoption amongst big customers on dare, using Deep Racer for hands on learning for machine learning, and many of them are turning to Deep Racer to train their workforce in machine learning. So over 150 customers from the likes of Capital One Moody's, Accenture, DBS Bank, JPMorgan Chase, BMW and Toyota have held Deep Racer events for their workforces. And in fact, three of those customers Accenture, DBS Bank and J. P. Morgan Chase have each trained over 1000 employees in their organization because they're just super excited. And they find that deep racers away to drive that excitement and engagement across their customers. We even have Capital one expanded this to their families, so Capital One ran a deep raise. Their Kids Cup, a family friendly virtual competition this past year were over. 250 Children and 200 families got to get hands on with machine learning. >>So I envisioned some. You know, this being a big facilitator during the pandemic when there's been this massive shift to remote work has have you seen an uptick in it for companies that talking about training need to be ableto higher? Many, many more people remotely but also train them? Is deep Racer facilitator of that? Yeah, >>absolutely. Deep Racer has ah core component of the experience, which is all virtualized. So we have, ah, console and integration with other AWS services so that racers can participate using a three d racing simulator. They can actually see their car driving around a track in a three D world simulation. Um, we're also selling the physical devices. So you know, if participants want to get the one of those devices and translate what they've done in the virtual world to the real world, they can start doing that. And in fact, just this past year, we made our deep race or car available for purchase internationally through the Amazon Com website to help facilitate that. >>So how maney deep racers air out there? I'm just curious. >>Oh, thousands. Um, you know, And there what? What we've seen is some companies will purchase you, know them in bulk and use them for their internal leagues. Just like you know, JP Morgan Chase on DBS Bank. These folks have their own kind of tracks and racers that they'll use to facilitate both in person as well as the virtual racing. >>I'm curious with this shift to remote that we mentioned a minute ago. How are you seeing deepracer as a facilitator of engagement. You mentioned engagement. And that's one of the biggest challenges that so Maney teams develops. Processes have without being co located with each other deep Brister help with that. I mean, from an engagement perspective, I think >>so. What we've seen is that Deep Racer is just fun to get your hands on. And we really lower the learning curve for machine learning. And in particular, this branch called reinforcement Learning, which is where you train this agent through trial and error toe, learn how to do a new, complex task. Um, and what we've seen is that customers who have introduced Deep Racer, um, as an event for their employees have seen ah, very wide variety of employees. Skill sets, um, kind of get engaged. So you've got not just the hardcore deep data scientists or the M L engineers. You've got Web front end programmers. You even have some non technical folks who want to get their hands dirty. Onda learn about machine learning and Deep Racer really is a nice, gradual introduction to doing that. You can get engaged with it with very little kind of coding knowledge at all. >>So talk to me about some of the new services. And let's look at some specific use case customer use cases with each service. Yeah, >>absolutely. So just to set the context. You know, Amazon's got hundreds. A ws has hundreds of thousands of customers doing machine learning on AWS. No customers of all sizes are embedding machine learning into their no core business processes. And one of the things that we always do it Amazon is We're listening to customers. You know, 90 to 95% of our road maps are driven by customer feedback. And so, as we've been talking to these industrial manufacturing customers, they've been telling us, Hey, we've got data. We've got these processes that are happening in our industrial sites. Um, and we just need some help connecting the dots like, how do we really most effectively use machine learning to improve our processes in these industrial and manufacturing sites? And so we've come up with these five services. They're focused on industrial manufacturing customers, uh, two of the services air focused around, um, predictive maintenance and, uh, the other three services air focused on computer vision. Um, and so let's start with the predictive maintenance side. So we announced Amazon Monitor On and Amazon look out for equipment. So these services both enable predictive maintenance powered by machine learning in a way that doesn't require the customer to have any machine learning expertise. So Mono Tron is an end to end machine learning system with sensors, gateway and an ML service that can detect anomalies and predict when industrial equipment will require maintenance. I've actually got a couple examples here of the sensors in the gateway, so this is Amazon monitor on these little sensors. This little guy is a vibration and temperature sensor that's battery operated, and wireless connects to the gateway, which then transfers the data up to the M L Service in the cloud. And what happens is, um, the sensors can be connected to any rotating machinery like pump. Pour a fan or a compressor, and they will send data up to the machine learning cloud service, which will detect anomalies or sort of irregular kind of sensor readings and then alert via a mobile app. Just a tech or a maintenance technician at an industrial site to go have a look at their equipment and do some preventative maintenance. So um, it's super extreme line to end to end and easy for, you know, a company that has no machine learning expertise to take advantage of >>really helping them get on board quite quickly. Yeah, >>absolutely. It's simple tea set up. There's really very little configuration. It's just a matter of placing the sensors, pairing them up with the mobile app and you're off and running. >>Excellent. I like easy. So some of the other use cases? Yeah, absolutely. >>So So we've seen. So Amazon fulfillment centers actually have, um, enormous amounts of equipment you can imagine, you know, the size of an Amazon fulfillment center. 28 football fields, long miles of conveyor belts and Amazon fulfillment centers have started to use Amazon monitor on, uh, to monitor some of their conveyor belts. And we've got a filament center in Germany that has started using these 1000 sensors, and they've already been able to, you know, do predictive maintenance and prevent downtime, which is super costly, you know, for businesses, we've also got customers like Fender, you know, who makes guitars and amplifiers and musical equipment. Here in the US, they're adopting Amazon monitor on for their industrial machinery, um, to help prevent downtime, which again can cost them a great deal as they kind of hand manufacture these high end guitars. Then there's Amazon. Look out for equipment, which is one step further from Amazon monitor on Amazon. Look out for equipment. Um provides a way for customers to send their own sensor data to AWS in order to build and train a model that returns predictions for detecting abnormal equipment behavior. So here we have a customer, for example, like GP uh, E P s in South Korea, or I'm sorry, g S E P s in South Korea there in industrial conglomerate, and they've been collecting their own data. So they have their own sensors from industrial equipment for a decade. And they've been using just kind of rule basic rules based systems to try to gain insight into that data. Well, now they're using Amazon, look out for equipment to take all of their existing sensor data, have Amazon for equipment, automatically generate machine learning models on, then process the sensor data to know when they're abnormalities or when some predictive maintenance needs to occur. >>So you've got the capabilities of working with with customers and industry that that don't have any ML training to those that do have been using sensors. So really, everybody has an opportunity here to leverage this new Amazon technology, not only for predicted, but one of the things I'm hearing is contact list, being able to understand what's going on without having to have someone physically there unless there is an issue in contact. This is not one of the words of 2020 but I think it probably should be. >>Yeah, absolutely. And in fact, that that was some of the genesis of some of the next industrial services that we announced that are based on computer vision. What we saw on what we heard when talking to these customers is they have what we call human inspection processes or manual inspection processes that are required today for everything from, you know, monitoring you like workplace safety, too, you know, quality of goods coming off of a machinery line or monitoring their yard and sort of their, you know, truck entry and exit on their looking for computer vision toe automate a lot of these tasks. And so we just announced a couple new services that use computer vision to do that to automate these once previously manual inspection tasks. So let's start with a W A. W s Panorama uses computer vision toe improve those operations and workplace safety. AWS Panorama is, uh, comes in two flavors. There's an appliance, which is, ah, box like this. Um, it basically can go get installed on your network, and it will automatically discover and start processing the video feeds from existing cameras. So there's no additional capital expense to take a W s panorama and have it apply computer vision to the cameras that you've already got deployed, you know, So customers are are seeing that, um, you know, computer vision is valuable, but the reason they want to do this at the edge and put this computer vision on site is because sometimes they need to make very low Leighton see decisions where if you have, like a fast moving industrial process, you can use computer vision. But I don't really want to incur the cost of sending data to the cloud and back. I need to make a split second decision, so we need machine learning that happens on premise. Sometimes they don't want to stream high bandwidth video. Or they just don't have the bandwidth to get this video back to the cloud and sometimes their data governance or privacy restrictions that restrict the company's ability to send images or video from their site, um, off site to the cloud. And so this is why Panorama takes this machine learning and makes it happen right here on the edge for customers. So we've got customers like Cargill who uses or who is going to use Panorama to improve their yard management. They wanna use computer vision to detect the size of trucks that drive into their granaries and then automatically assign them to an appropriately sized loading dock. You've got a customer like Siemens Mobility who you know, works with municipalities on, you know, traffic on by other transport solutions. They're going to use AWS Panorama to take advantage of those existing kind of traffic cameras and build machine learning models that can, you know, improve congestion, allocate curbside space, optimize parking. We've also got retail customers. For instance, Parkland is a Canadian fuel station, um, and retailer, you know, like a little quick stop, and they want to use Panorama to do things like count the people coming in and out of their stores and do heat maps like, Where are people visiting my store so I can optimize retail promotions and product placement? >>That's fantastic. The number of use cases is just, I imagine if we had more time like you could keep going and going. But thank you so much for not only sharing what's going on with Deep Racer and the innovations, but also for show until even though we weren't in person at reinvent this year, Great to have you back on the Cube. Mike. We appreciate your time. Yeah, thanks, Lisa, for having me. I appreciate it for Mike Miller. I'm Lisa Martin. You're watching the cubes Live coverage of aws reinvent 2020.
SUMMARY :
It's the Cube with digital coverage of AWS I'm Lisa Martin, and I've got one of our cube alumni back with me. It's really great to join you all again at this virtual And you you had the deep race, your car, and so we're obviously socially distance here. Yeah, I'd love to tell. We talked to me a little bit about some of the things that air that you've 250 Children and 200 families got to get hands on with machine learning. when there's been this massive shift to remote work has have you seen an uptick in it for companies So you know, if participants want to get the one of those devices and translate what they've So how maney deep racers air out there? Um, you know, And there what? And that's one of the biggest challenges that so Maney teams develops. And in particular, this branch called reinforcement Learning, which is where you train this agent So talk to me about some of the new services. that doesn't require the customer to have any machine learning expertise. Yeah, It's just a matter of placing the sensors, pairing them up with the mobile app and you're off and running. So some of the other use cases? and they've already been able to, you know, do predictive maintenance and prevent downtime, So really, everybody has an opportunity here to leverage this new Amazon technology, is because sometimes they need to make very low Leighton see decisions where if you have, Great to have you back on the Cube.
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Janine Teo, Hugo Richard, and Vincent Quah | AWS Public Sector Online Summit
>>from around the globe. It's the Cube with digital coverage of AWS Public Sector online brought to you by Amazon Web services. Oven Welcome back to the cubes. Virtual coverage of Amazon Web services. Eight. Of his public sector summit online. We couldn't be there in person, but we're doing remote interviews. I'm John Curry. Your host of the Cube got a great segment from Asia Pacific on the other side of the world from California about social impact, transforming, teaching and learning with cloud technology. Got three great guests. You go. Richard is the CEO and co founder of Guys Tech and Jean Te'o, CEO and founder of Solve Education Founders and CEOs of startups is great. This is squad was the AIPAC regional head. Education, health care, not for profit and research. Ray Ws, he head start big program Vincent. Thanks for coming on, Janine. And you go Thank you for joining. >>Thanks for having us, John. >>We're not there in person. We're doing remote interviews. I'm really glad to have this topic because now more than ever, social change is happening. Um, this next generation eyes building software and applications to solve big problems. And it's not like yesterday's problems there. Today's problems and learning and mentoring and starting companies are all happening virtually digitally and also in person. So the world's changing. So, um, I gotta ask you, Vincent, we'll start with you and Amazon. Honestly, big started builder culture. You got two great founders here. CEO is doing some great stuff. Tell us a little bit what's going on. A pack, >>A lot of >>activity. I mean, reinvent and some it's out. There are really popular. Give us an update on what's happening. >>Thank you. Thank you for the question, John. I think it's extremely exciting, especially in today's context, that we are seeing so much activities, especially in the education technology sector. One of the challenges that we saw from our education technology customers is that they are always looking for help and support in many off the innovation that they're trying to develop the second area off observation that we had waas, that they are always alone with very limited resources, and they usually do not know where to look for in terms, off support and in terms off who they can reach out to. From a community standpoint, that is actually how we started and developed this program called A W s. At START. It is a program specifically for education technology companies that are targeting delivering innovative education solutions for the education sector. And we bring specific benefits to these education technology companies when they join the program. Aws ed start. Yeah, three specific areas. First one is that we support them with technical support, which is really, really key trying to help them navigate in the various ranges off A W S services that allows them to develop innovative services. The second area is leaking them and building a community off like minded education technology founders and linking them also to investors and VCs and lastly, off course, in supporting innovation. We support them with a bit off AWS cop credits promotional credits for them so that they can go on experiment and develop innovations for their customers. >>That's great stuff. And I want to get into that program a little further because I think that's a great example of kind of benefits AWS provides actually free credits or no one is gonna turn away free credits. We'll take the free credits all the time all day long, but really it's about the innovation. Um, Jean, I want to get your thoughts. How would solve education? Born? What problems were you solving? What made you start this company and tell us your story? >>Thank you so much for the question. So, actually, my co founder was invited to speak at an African innovation forum a couple of years back on the topic that he was sharing with. How can Africa skip over the industrialization face and go direct to the knowledge economy? Onda, the discussion went towards in orderto have access to the knowledge economy, unique knowledge. And how do you get knowledge Well through education. So that's when everybody in the conference was a bit stuck right on the advice waas. In order to scale first, we need to figure out a way to not well, you know, engaging the government and schools and teachers, but not depend on them for the successful education initiated. So and that's was what pain walk away from the conference. And when we met in in Jakarta, we started talking about that also. So while I'm Singaporean, I worked in many developing countries on the problem that we're trying to solve this. It might be shocking to you, but UNESCO recently published over 600 million Children and you are not learning on. That is a big number globally right on out of all the SDG per se from U N. Education. And perhaps I'm biased because I'm a computer engineer. But I see that education is the only one that can be solved by transforming bites. But since the other stg is like, you know, poverty or hunger, right, actually require big amount of logistic coordination and so on. So we saw a very, um, interesting trend with mobile phones, particularly smartphones, becoming more and more ubiquitous. And with that, we saw a very, uh, interesting. Fortunately for us to disseminate education through about technology. So we in self education elevate people out of poverty, true, providing education and employment opportunities live urging on tech. And we our vision is to enable people to empower themselves. And what we do is that we do an open platform that provides everyone effected education. >>You could How about your company? What problem you're you saw And how did it all get started? Tell us your vision. >>Thanks, John. Well, look, it all started. We have a joke. One of the co founder, Matthew, had a has a child with severe learning disorder and dyslexia, and he made a joke one day about having another one of them that would support those those kids on Duh. I took the joke seriously, So we're starting sitting down and, you know, trying to figure out how we could make this happen. Um, so it turns out that the dyslexia is the most common learning disorder in the world, with an estimated 10 to 20% off the worldwide population with the disorder between context between 750 million, up to 1.5 billion individual. With that learning disorder on DSO, where we where we sort of try and tackle. The problem is that we've identified that there's two key things for Children with dyslexia. The first one is that knowing that it is dislikes. Yeah, many being assessed. And the second is so what? What do we do about it? And so given or expertise in data science and and I, we clearly saw, unfortunately off, sort of building something that could assess individual Children and adults with dyslexia. The big problem with the assessment is that it's very expensive. We've met parents in the U. S. Specifically who paid up to 6000 U. S. Dollars for for diagnosis within educational psychologist. On the other side, we have parents who wait 12 months before having a spot. Eso What we so clearly is that the observable symptom of dyslexia are reading and everyone has a smartphone and you're smart. Smartphone is actually really good to record your voice. Eso We started collecting order recording from Children and adults who have been diagnosed with dyslexia, and we then trying a model to recognize the likelihood of this lecture by analyzing audio recording. So in theory, it's like diagnosed dyslexic, helping other undiagnosed, dyslexic being being diagnosed. So we have now an algorithm that can take about 10 minutes, which require no priors. Training cost $20. Andi, anyone can use it. Thio assess someone's likelihood off dyslexia. >>You know, this is the kind of thing that really changes the game because you also have learning progressions that air nonlinear and different. You've got YouTube. You got videos, you have knowledge bases, you've got community. Vincent mentioned that Johnny and you mentioned, you know making the bits driver and changing technology. So Jeannine and Hugo, please take a minute to explain, Okay? You got the idea. You're kicking the tires. You're putting it together. Now you gotta actually start writing code >>for us. We know education technology is not you. Right? Um, education games about you. But before we even started, we look at what's available, and we quickly realize that the digital divide is very real. Most technology out there first are not designed for really low and devices and also not designed for people who do not have Internet at hope so way. So with just that assessment, we quickly realized we need toe do something about on board, but something that that that problem is one eyes just one part of the whole puzzle. There's two other very important things. One is advocacy. Can we prove that we can teach through mobile devices, And then the second thing is motivation it again. It's also really obvious, but and people might think that, you know, uh, marginalized communities are super motivated to learn. Well, I wouldn't say that they are not motivated, but just like all of us behavioral changes really hard right. I would love to work out every day, but, you know, I don't really get identity do that. So how do we, um, use technology to and, um, you know, to induce that behavioral change so that date, so that we can help support the motivation to learn. So those are the different things that we >>welcome? >>Yeah. And then the motivated community even more impactful because then once the flywheel gets going and it's powerful, Hugo, your reaction to you know, you got the idea you got, You got the vision you're starting to put. Take one step in front of the other. You got a W s. Take us through the progression, understand the startup. >>Yeah, sure. I mean, what Jane said is very likely Thio what we're trying to do. But for us, there's there's free key things that in order for us to be successful and help as much people as we can, that is free things. The first one is reliability. The second one is accessibility, and the other one is affordability. Eso the reliability means that we have been doing a lot of work in the scientific approach as to how we're going to make this work. And so we have. We have a couple of scientific publications on Do we have to collect data and, you know, sort of published this into I conferences and things like that. So make sure that we have scientific evidence behind us that that support us. And so what that means that we had Thio have a large amount of data >>on and >>put this to work right on the other side. The accessibility and affordability means that, Julian said. You know it needs to be on the cloud because if it's on the cloud, it's accessible for anyone with any device with an Internet connection, which is, you know, covering most of the globe, it's it's a good start on DSO the clock. The cloud obviously allow us to deliver the same experience in the same value to clients and and parent and teacher and allied health professionals around the world. Andi. That's why you know, it's it's been amazing to to be able to use the technology on the AI side as well. Obviously there is ah lot of benefit off being able to leverage the computational power off off the cloud to to make better, argue with them and better training. >>We're gonna come back to both of you on the I question. I think that's super important. Benson. I want to come back to you, though, because in Asia Pacific and that side of the world, um, you still have the old guard, the incumbents around education and learning. But there is great penetration with mobile and broadband. You have great trends as a tailwind for Amazon and these kinds of opportunity with Head Start. What trends are you seeing that are now favoring you? Because with co vid, you know the world is almost kind of like been a line in the sand is before covert and after co vid. There's more demand for learning and education and community now than ever before, not just for education, the geopolitical landscape, everything around the younger generation. There's, um, or channels more data, the more engagement. How >>are you >>looking at this? What's your vision of these trends? Can you share your thoughts on how that's impacting learning and teaching? >>So there are three things that I want to quickly touch on number one. I think government are beginning to recognize that they really need to change the way they approach solving social and economic problems. The pandemic has certainly calls into question that if you do not have a digital strategy, you can't You can find a better time, uh, to now develop and not just developed a digital strategy, but actually to put it in place. And so government are shifting very, very quickly into the cloud and adopting digital strategy and use digital strategy to address some of the key problems that they are facing. And they have to solve them in a very short period of time. Right? We will talk about speed, three agility off the cloud. That's why the cloud is so powerful for government to adult. The second thing is that we saw a lot of schools closed down across the world. UNESCO reported what 1.5 billion students out of schools. So how then do you continue teaching and learning when you don't have physical classroom open? And that's where education, technology companies and, you know, heroes like Janine's Company and others there's so many of them around our ableto come forward and offer their services and help schools go online run classrooms online continue to allow teaching and learning, you know, online and and this has really benefited the overall education system. The third thing that is happening is that I think tertiary education and maybe even catch off education model will have to change. And they recognize that, you know, again, it goes back to the digital strategy that they got to have a clear digital strategy. And the education technology companies like, what? Who we have here today, just the great partners that the education system need to look at to help them solve some of these problems and get toe addressing giving a solution very, very quickly. >>Well, I know you're being kind of polite to the old guard, but I'm not that polite. I'll just say it. There's some old technology out there and Jenny and you go, You're young enough not to know what I t means because you're born in the cloud. So that's good for you. I remember what I t is like. In fact, there's a There's a joke here in the United States that with everyone at home, the teachers have turned into the I T department, meaning they're helping the parents and the kids figure out how to go on mute and how toe configure a network adds just translation. If they're routers, don't work real problems. I mean, this was technology. Schools were operating with low tech zooms out there. You've got video conferencing, you've got all kinds of things. But now there's all that support that's involved. And so what's happening is it's highlighting the real problems of the institutional technology. So, Vincent, I'll start with you. Um, this is a big problem. So cloud solves that one. You guys have pretty much helped. I t do things that they don't want to do any more by automation. This >>is an >>opportunity not necessary. There's a problem today, but it's an opportunity tomorrow. You just quickly talk about how you see the cloud helping all this manual training and learning new tools. >>We are all now living in a cloud empowered economy. Whether we like it or not, we are touching and using services. There are powered by the cloud, and a lot of them are powered by the AWS cloud. But we don't know about it. A lot of people just don't know, right Whether you are watching Netflix, um Well, in the old days you're buying tickets and and booking hotels on Expedia or now you're actually playing games on epic entertainment, you know, playing fortnight and all those kind of games you're already using and a consumer off the cloud. And so one of the big ideas that we have is we really want to educate and create awareness off club computing for every single person. If it can be used for innovation and to bring about benefits to society, that is a common knowledge that everyone needs to happen. So the first big idea is want to make sure that everyone actually is educated on club literacy? The second thing is, for those who have not embarked on a clear cloud strategy, this is the time. Don't wait for for another pandemic toe happen because you wanna be ready. You want to be prepared for the unknown, which is what a lot of people are faced with, and you want to get ahead of the curve and so education training yourself, getting some learning done, and that's really very, very important as the next step to prepare yourself toe face the uncertainty and having programs like AWS EC start actually helps toe empower and catalyzed innovation in the education industry that our two founders have actually demonstrated. So back to you Join. >>Congratulations on the head. Start. We'll get into that real quickly. Uh, head start. But let's first get the born in the cloud generation, Janine. And you go, You guys were competing. You gotta get your APS out there. You gotta get your solutions. You're born in the cloud. You have to go compete with the existing solutions. How >>do you >>view that? What's your strategy? What's your mindset? Janine will start with you. >>So for us, way are very aware that we're solving a problem that has never been solved, right? If not, we wouldn't have so many people who are not learning. So So? So this is a very big problem. And being able to liberate on cloud technology means that we're able to just focus on what we do best. Right? How do we make sure that learning is sufficient and learning is, um, effective? And how do we keep people motivated and all those sorts of great things, um, leveraging on game mechanics, social network and incentives. And then while we do that on the outside way, can just put almost out solved everything to AWS cloud technology to help us not worry about that. And you were absolutely right. The pandemic actually woke up a lot of people and hands organizations like myself. We start to get queries from governments on brother, even big NGOs on, you know, because before cove it, we had to really do our best to convince them until our troops are dry and way, appreciate this opportunity and and also we want to help people realized that in order to buy, adopting either blended approach are a adopting technology means that you can do mass customization off learning as well. And that's what could what we could do to really push learning to the next level. So and there are a few other creative things that we've done with governments, for example, with the government off East Java on top of just using the education platform as it is andare education platform, which is education game Donald Civilization. Um, they have added in a module that teaches Cove it because, you know, there's health care system is really under a lot of strain there, right and adding this component in and the most popular um mitigate in that component is this This'll game called hopes or not? And it teaches people to identify what's fake news and what's real news. And that really went very popular and very well in that region off 25 million people. So tech became not only just boring school subjects, but it can be used to teach many different things. And following that project, we are working with the federal government off Indonesia to talk about anti something and even a very difficult topic, like sex education as well. >>Yeah, and the learning is nonlinear, horizontally scalable, its network graft so you can learn share about news. And this is contextual data is not just learning. It's everything is not like, you know, linear learning. It's a whole nother ballgame, Hugo. Um, your competitive strategy. You're out there now. You got the covert world. How are you competing? How is Amazon helping you? >>Absolutely. John, look, this is an interesting one, because the current competitors that we have, uh, educational psychologist, they're not a tech, So I wouldn't say that we're competing against a competitive per se. I would say that we're competing against the old way of doing things. The challenge for us is to, um, empower people to be comfortable. We've having a machine, you know, analyzing your kids or your recording and telling you if it's likely to be dislikes. Yeah, and in this concept, obviously, is very new. You know, we can see this in other industry with, you know, you have the app that stand Ford created to diagnose skin cancer by taking a photo of your skin. It's being done in different industry. Eso The biggest challenge for us is really about the old way of doing things. What's been really interesting for us is that, you know, education is lifelong, you know, you have a big part in school, but when you're an adult, you learn on Did you know we've been doing some very interesting work with the Justice Department where, you know, we look at inmate and you know, often when people go to jail, they have, you know, some literacy difficulty, and so we've been doing some very interesting working in this field. We're also doing some very interesting work with HR and company who want to understand their staff and put management in place so that every single person in the company are empowered to do their job and and and, you know, achieve success. So, you know, we're not competing against attack. And often when we talk to other ethnic company, we come before you know, we don't provide a learning solution. We provide a assessment solution on e assessment solution. So, really, John, what we're competing against is an old way of doing things. >>And that's exactly why clouds so successful. You change the economics, you're actually a net new benefit. And I think the cloud gives you speed and you're only challenges getting the word out because the economics air just game changing. Right, So that's how Amazon does so well, um, by the way, you could take all our recordings from the Cube, interviews all my interviews and let me know how ideo Okay, so, um, got all the got all the voice recordings from my interview. I'm sure the test will come back challenging. So take a look at that e. I wanna come back to you. But I wanna ask the two founders real quick for the folks watching. Okay on Dhere about Amazon. They know the history. They know the startups that started on Amazon that became unicorns that went public. I mean, just a long list of successes born in the cloud You get big pay when you're successful. Love that business model. But for the folks watching that were in the virtual garages, air in their houses, innovating and building out new ideas. What does Ed start mean for them? How does it work? Would you would recommend it on what are some of the learnings that you have from work with Head Start? >>But our relationship X s start is almost not like client supplier relationship. It's almost like business partners. So they not only help us with protect their providing the technology, but on top of that, they have their system architect to work with my tech team. And they have, you know, open technical hours for us to interact. And on top of that, they do many other things, like building a community where, you know, people like me and Google can meet and also other opportunities, like getting out the word out there. Right. As you know, all of their, uh, startups run on a very thin budget. So how do we not pour millions of dollars into getting out without there is another big benefit as well. So, um definitely very much recommend that start. And I think another big thing is this, right? Uh, what we know now that we have covert and we have demand coming from all over the place, including, like, even a lot of interest, Ally from the government off Gambia, you know? So how do we quickly deploy our technology right there? Or how do we deploy our technology from the the people who are demanding our solution in Nigeria? Right. With technology that is almost frameless. >>Yeah. The great enabling technology ecosystem to support you. And they got the region's too. So the region's do help. I love we call them Cube Region because we're on Amazon. We have our cloud, Hugo, um, and start your observations, experience and learnings from working with aws. >>Absolutely. Look, this is a lot to say, so I'll try and making sure for anyone, but but also for us on me personally, also as an individual and as a founder, it's really been a 365 sort of support. So like Johnny mentioned, there's the community where you can connect with existing entrepreneur you can connect with expert in different industry. You can ask technical expert and and have ah, you know office our every week. Like you said Jenny, with your tech team talking to cloud architect just to unlock any problem that you may have on day and you know, on the business side I would add something which for us has been really useful is the fact that when we when we've approached government being able to say that we have the support off AWS and that we work with them to establish data integrity, making sure everything is properly secured and all that sort of thing has been really helpful in terms off, moving forward with discussion with potential plant and and government as well. So there's also the business aspect side of things where when people see you, there's a perceived value that you know, your your entourage is smart people and and people who are capable of doing great things. So that's been also really >>helpful, you know, that's a great point. The APP SEC review process, as you do deals is a lot easier. When here on AWS. Vincent were a little bit over time with a great, great great panel here. Close us out. Share with us. What's next for you guys? You got a great startup ecosystem. You're doing some great work out there and education as well. Healthcare. Um, how's your world going on? Take a minute, Thio. Explain what's going on in your world, >>John, I'm part of the public sector Team Worldwide in AWS. We have very clear mission statements on by the first is you know, we want to bring about destructive innovation and the AWS Cloud is really the platform where so many off our techs, whether it's a text, healthtech golf text, all those who are developing solutions to help our governments and our education institutions or health care institutions to really be better at what they do, we want to bring about those disruptive innovations to the market as fast as possible. It's just an honor on a privilege for us to be working. And why is that important? It's because it's linked to our second mission, which is to really make the world a better place to really deliver. Heck, the kind of work that Hugo and Janina doing. You know, we cannot do it by ourselves. We need specialists and really people with brilliant ideas and think big vision to be able to carry out what they are doing. And so we're just honored and privileged to be part off their work And in delivering this impact to society, >>the expansion of AWS out in your area has been phenomenal growth. I've been saying to Teresa Carlson, Andy Jassy in the folks that aws for many, many years, that when you move fast with innovation, the public sector and the private partnerships come together. You're starting to see that blending. And you've got some great founders here, uh, making a social impact, transforming, teaching and learning. So congratulations, Janine and Hugo. Thank you for sharing your story on the Cube. Thanks for joining. >>Thank you. Thank >>you, John. >>I'm John Furry with the Cube. Virtual were remote. We're not in person this year because of the pandemic. You're watching a divest Public sector online summit. Thank you for watching
SUMMARY :
AWS Public Sector online brought to you by Amazon Vincent, we'll start with you and Amazon. I mean, reinvent and some it's out. One of the challenges that we saw from our education technology customers What made you start this company and tell us your story? But I see that education is the only one that can be solved You could How about your company? clearly is that the observable symptom of dyslexia are reading You know, this is the kind of thing that really changes the game because you also have learning but and people might think that, you know, uh, marginalized communities are Take one step in front of the other. So make sure that we have which is, you know, covering most of the globe, it's it's a good start on We're gonna come back to both of you on the I question. And they recognize that, you know, again, it goes back to the digital strategy There's some old technology out there and Jenny and you go, You just quickly talk about how you see the cloud And so one of the big ideas that we have is we really want And you go, Janine will start with you. a module that teaches Cove it because, you know, It's everything is not like, you know, linear learning. person in the company are empowered to do their job and and and, you know, achieve success. And I think the cloud gives you speed and you're only challenges getting the word out because Ally from the government off Gambia, you know? So the region's do help. there's a perceived value that you know, your your entourage is smart people helpful, you know, that's a great point. We have very clear mission statements on by the first is you know, Andy Jassy in the folks that aws for many, many years, that when you move fast with innovation, Thank you. Thank you for watching
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Mohammad A. Haque, eLumin & Damian Doyle, UMBC | AWS Public Sector Partner 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 to a special production of theCUBE. We're talking to the Amazon web services public sector, their partner awards program. I'm your host Stu Miniman, and we're digging in on education. It's one of the sectors, of course, public sector looks at nonprofits, it looks at the government sectors and the education, and of course, when we talk about remote learning is such a huge, important topic, especially right now in 2020 with the global pandemic. So happy to welcome to the program, we have two guests. First of all, representing the award winning-company, Mohammad Haque. He is the co-founder and senior vice president of architecture and engineering with eLumin. And joining is one of his customers, Damian Doyle, who is the associate vice president of enterprise infrastructure solutions at the University of Maryland Baltimore County, or UMBC, as it's known. Gentlemen, thanks so much for joining us. >> Thank you. Thanks for having us here. >> All right, first of all, Mohammad, congratulations. As I said in my intro, such an important topic. I have two children that are dealing with remote learning. I have lots of friends that work in higher education and new in the technology space. So your company is the 2020 AWS public sector award winner for best remote learning. I'm sure there is a space that has a lot of competition. And of course, leveraging public cloud is a great way to be able to ramp this sort of thing up rather fast. Give us a little bit, you know, you are the co=founder, so we'd love to hear a little bit of the origin story, your background, and tell us about what differentiates eLumin. >> Sure. eLumin, we provide managed products and services around end user compute with a focus on education for providing access to applications and other technology resources, course content, course applications in the public cloud, so that users are able to use whatever device they have wherever they are, and have access to those applications that are required for completing that course coursework. They can be in, at home, in their dorms, at a corner coffee shop, on the side of a mountain in the middle East, wherever they may be, but leveling that playing field so that they can access and have access to any of the demanding applications on any device is what we're, what our goal is, is to make sure that we're not having technology be a barrier to their learning. >> Fantastic. Damian, if we could turn to you, then. At UMBC, maybe if you could give our audience a thumbnail of the university, and I have some idea of the challenge that was put in front of you when you talk about e-learning, but maybe you could give us a little bit of the pre-COVID and what you were faced and what you were looking at when it came to dealing with the current situation. >> Sure. Be happy to. So we're, UMBC is a midsize public institution. We're sort of suburban, about 14,000 students, and we have undergrad, graduate, and doctoral programs, and we have a heavy focus on a lot of the STEM disciplines. And so pre-COVID, very based in collaborative environments, active learning, but hands-on, so a lot of our programs really do have a lot of that, and we leverage technology very heavily, even if it's in, whether it's in engineering, biology, any of those kinds of programs. As you said, the challenge became how do you very quickly pivot into an entirely online model when you sort of scattershot all of your students and you don't really have a great sense of what they're going to have access to and the abilities and connectivity they're going to have. So this kind of thing was really critical for us as we made that transition. >> Excellent. Mohammad, were you working with UMBC before the current move to go remote? Give us a little bit about the relationship and how that started. >> I believe actually that the pandemic was the impetus to kind of drive this forward. Damian and his team reached out to eLumin looking for a solution that would allow them to kind of have students access the applications that they normally would have access to in their physical computer labs, but with the change and not having access to those labs anymore, needed a remote learning solution, a remote access solution for being able to access those high compute, high graphics processing, memory-intensive applications through the cloud and taking into account the fact that students won't have the highest end computer laptop. They'll probably be working on a Chromebook or a lower-end machine, but need that compute power. And then we had to kind of provide a solution pretty quickly because it was, schools were shutting down, essentially, physically shutting down and needing to continue on with their coursework. >> Yeah, Damian, I'd like to understand from your side. Can you share with us a little bit the timeframes? How fast did you go from, oh my gosh, we need this, we need proposals, we need to roll this out, and we need to have students and teachers back up and running? >> Well, I think the one thing from our side, we had already known of eLumin and we had been looking at that pre-COVID. We knew we needed product that provided us this kind of agility and really gave the students some better access to the computing tools that they needed. So once we identified that, the thing that was amazing to me is we moved from our existing system over to production eLumin in, I think it was about two and a half weeks sort of start to finish, and to get all the images, to get all the technology running, tested, and everything up and running in two and a half weeks for a full solution for a campus is, was pretty amazing. And that was one of the real benefits we saw as going to the cloud. We also looked at this outside of COVID as something that really provided a major benefit to the students so that they could work from anywhere at any time, rather than be sort of tethered to that physical lab. >> Well, I'm glad you raised that. So if you could, Damian, a little bit help us understand how much were you using a cloud before? And it sounds like you believe that in the, I guess if we say post-COVID world, you will probably have some hybrid model. Would that be fair to say? >> Yeah, I think before we did have a different solution that was still cloud-based. It was part of our business continuity. So we still had some semblance of a virtual computing solution in the cloud, but it wasn't that extensive, and a lot of our individual programs, chemical engineering, geography, and others were using physical labs that the students would sort of schedule times and be able to work in as part of their coursework. Coming out of this, we fully expect if we're going an extended period of time where students are able to access these materials and these demanding software packages at any time from any kind of device coming out of COVID, they're not going to want to go back to that model where they're asking, they have to get permission and go in in limited hours into a physical lab and sit there. This is going to be the expectation going forward is that they have this kind of access and this kind of flexibility from now on. >> Yeah, this is, I mean, they've gotten a taste, essentially, and so they see how easy it is to complete their coursework without actually having to trek across campus into a lab and kind of fight with the population to find a seat. This basically will become an expectation of an offering. >> Yeah, Mohammad, what I'd love if you could drill in a little bit for us there. Architecturally speaking, of course, the cloud is built to be able to scale and move fast. So if you need capacity and need to scale up fast, that's great. If in the future, you still want to leverage this solution, but you can scale down, that should be possible. So maybe give us a little bit of a how AWS architecturally supports what you're doing, and just from a pricing solution standpoint, how you'll be able to support the customer in today's environment and however that path goes down the road, you'll be able to support that too. >> Right, I mean, so with AWS cloud, we're able to, as you said, scale up or down as demand is needed, but we've taken that even a little bit further where we're scaling based off of student scheduling. So if we've got a course that we know that is running from >> 10: 00 AM to 11:00 AM, prior to that course starting, we'll scale the environment up so that it's available for those students if it's more of a in course lab session and then spin things back down after the course is done so that we don't have those many, many machines sitting there running and burning the hours and running up the bill. Physical environment, once you've installed it, it's there. It's always running. You cannot do that. But with the power of the cloud, we're able to go up and down. We're able to take things, scale things down off hours. If we look at the patterns for student usage, off hours, overnight, take things down because you don't need those machines sitting there running all the time. >> And this is one of the biggest differentiators. So many times in higher ed, we struggle to have to explain to companies and vendors and providers what our needs are and how we're very different from corporations and other verticals. With the eLumin solution and the capabilities in AWS, we're really having this tailor to our students' schedules, to the class schedules, and that kind of flexibility makes the product economically viable for us, but it also means that we don't get nearly the kind of pushback from the academic side, because it is really tailored to meet their needs versus just something we're kind of shoehorning in. So that makes a huge difference in terms of adoption and the way it's perceived from a marketing and acceptance standpoint. >> Yeah, Damian, I'm curious, once you did that initial rollout, how much of an on ramp is there for both the education, the educator side, as well as the student side? And you talked about having some flexibility as to how and when students use things. That sounds great, but do you have to change office hours or the hours that the staff are leveraging that? I'm just trying to understand the ripple effect of what you're doing. >> No, it's a fair point. We have done fairly extensive training. The students picked it up very quickly. What we, with students, if there's a tool that they can use to do their work more effectively, they're going to use it, whether it's something we provide or something they find through other means. But what we've done is reached out to all of our faculty that we're training, that we're teaching in our physical labs and tried to work with them to understand what this solution is, how they can sort of rethink some of their classes. And a couple of our departments have actually taken an approach of rather than sit everybody in a virtual lab the same way they would sit people in a physical lab, they're moving some of this to more asynchronous so that the students can sort of work at their own pace and sort of rethink how they structure some of those classes because of the flexibility being provided. But it does take a lot of training from the instructional side and some rethinking of this, but the end solution is something that reaches the students where they are and the way they want to learn, which is a really powerful thing we're always trying to do. >> Excellent. Mohammad, I'm wondering just broadly learnings that you have from what's been happening. Obviously I'm sure you've been quite busy in responding to things. What's been the impact on your business? How has AWS been as a partner to be able to support the needs of what you're doing? >> Well, as you can imagine, things have just really blown up in terms of demand and being able to, again, through the power of the cloud, just being able to scale up and rapid deployment. As we spoke about earlier, this deployment was two and a half weeks from start to finish, being able to do that, being able to do that with AWS tools have been critical in moving things forward. >> Excellent. Damian, back to you on this. Obviously if you had had more time to be able to plan this out, there might be some things that you would do differently. But what have your learnings been with this? And if you've been talking to your peers, any advice that you would give as you've moved through this rapid acceleration of the move to remote? >> Certainly, I think we would've certainly done some things differently, but we had been talking about this move for three or four months ahead of COVID, so for us, it wasn't quite as rushed as the actual deployment wound up being. I think the big thing is having a vendor and having a partner where you can understand all the options. So the good and bad of the cloud is there's 100 different ways to do almost anything you want to accomplish, and taking the time to understand what the different features and the ramifications of how you deploy and how you think through that. For us, we deployed one way because we could do it very quickly, and then we took the rest of the semester and part of this summer to do some more thorough evaluations to really ask our constituents, do you like this method, or do you like some of the other possibilities, and see which user experience they liked more, and then we're able to work with eLumin, and they've been able to be very nimble in adjusting the services to meet what we've gotten our feedback on. So I think if I had to do it again, I would've done that testing ahead of time, but that's a very minor thing. These are really sort of small tweaks to just make life a little easier, not fundamental differences in what we're providing. >> Yeah, Damian, one last question, if I could. Sorry, Mohammad. Just, I'm curious from the financial standpoint how much you felt that you understood what costs would be and some of the levers as to what you were using and the impact there. We've seen great maturation over the last handful of years as to transparency and understanding how cloud actually is built. But just curious if you have any final comments on the financial piece of things, seeing that it probably wasn't something that was in your budget for the last quarter. >> It wasn't, that's very true, but we also knew that it was essential. So what we realized was we didn't know how often a lot of our physical labs and these classes were being used. So we knew there was going to be some unknowns. We'd move to this, we'd have to see what adoption was. But being able to get the reporting out and working with Mohammad and others to really start customizing in the cloud. That's the beauty of it is we recognize, we saw some really fascinating patterns where during the week people would use this sort of as you'd expect, but on the weekends, it was in the evenings. Nobody's logging on Saturday or Sunday morning, but boy, at eight p.m., there's a good bit of usage. So we could tailor and do some of that off-hours work and really slows things down. Having that visibility has made the economic piece much more viable, and really being able to tweak the computing power with two different needs of the different classes. So it's actually been fairly easy to understand, but it was a ramp up where we had to sort of guess at first and then understand our own processes. But that's more sort of the, if you don't have good data coming in, it's hard to get it out. >> Excellent. And Mohammad, I want to let you kind of give your lessons learned. Obviously it's a technology space you've been in and it's just been an acceleration of some of the things you're working on. So lessons learned, advice you would give to other companies, other universities and educational facilities out there. >> Right, and this is, again, speaking to the power of the cloud, right? Some of the, one of the biggest lessons learned here is you don't necessarily need to get it right the first time. As Damian was saying, we went back, kind of analyzed what we were seeing, and after the initial deployment, took a look at the actual usage and kind of adjusted based off of that, according to that, taking in feedback from faculty members on how they were using the system and tweaking the presentation or tweaking applications on the back end for accommodating those needs. That's the power of the cloud, being able to adjust on the fly. You're not, you don't have to be committed to every single bit there, and being able to change it on the fly is just something that is kind of natural in the cloud these days. >> Excellent. Well, thank you both so much for joining us, Damian, thank you for joining and moving forward, sharing your story, wish you the best of luck going forward. And Mohammad, big congratulations on winning. Super important category, especially here in 2020. Congratulations to you and the team. >> Thank you. >> Yeah, thank you. >> All right, stay tuned for more coverage here from the AWS public sector. It's their partner awards program. I'm Stu Miniman, and thank you for watching theCUBE. (bright music)
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Mohammed A Haque and Damian Doyle V1
>>from the Cube Studios in Palo Alto and Boston, connecting with thought leaders >>all around the world. >>This is a cube conversation. Hi, and welcome to a special production of the Cube. We're talking to the Amazon Web services, public sector, their partner awards program. I'm your host stew minimum, and we're digging in on education is one of the sectors. Of course, public sector looks at non profits. It looks at the government sectors. Education, Of course, when we talk about remote learning is such a huge, important topic, especially right now in 2020 with a global pandemic so happy to welcome to the program. We have two guests. First of all, we're representing the award winning company Mohammad. He is the co founder and senior vice president of architecture and engineering with Lumen and joining his one of his customers, Damien Doyle, who is the associate vice president of Enterprise Infrastructure Solutions at the University of Maryland, Baltimore County, or UMBC. As it's known, gentlemen, thanks so much for joining us. >>Thank you. Thanks for having us. >>Alright. First of all, Mohammed, congratulations. As I said in my intro, you know, such an important topic and I have two Children that are, you know, dealing with remote learning have lots of friends that were in higher education and, you know, in the technology space. So your company is the 2020 AWS Public Sector Award winner for best remote learning. I'm sure there is a space that has a lot of competition on. Of course, leveraging public cloud is a great way to be able to ramp this sort of thing up rather fast. Give us a little bit. You know, you are the co founder. So would love to hear a little bit of the origin story, your background and Ellis about what differentiates the looming >>sure loom in we provide ah manage products and services around end user compute with a focus on education for providing access to applications and other technology. Resource is, of course, content course applications in the public cloud, so that users are able to use, you know, whatever device they have wherever they are, um so and have access to those applications that are required for completing that force work they could be in, you know, in at home, in their dorms, at a corner coffee shop on the side of a mountain in the Middle East wherever they may be. But leveling that playing fears playing field so that they could access, um, have access to any of the demanding applications on any device is what we're You know, What our goal is is to make sure that we're not having technology be a barrier to their learning. >>Fantastic. Damien, If if we could turn to you, then atyou NBC, maybe if you could give our audience Ah, thumbnail of you know, the university and I have some idea of the challenge that was put in front of you when you talk about the learning. But maybe you could give us a little bit of the pre cove it and, uh, you know what? What you were faced in and what you were looking at when it came to dealing with the current situation. >>Sure be happy to So where you? NBC is a mid sized public institution. We're sort of suburban, about 14,000 students, and we have undergrad, graduate and doctoral programs, and we have a heavy focus on a lot of the stem disciplines. And so pre cove, it very based in collaborative environments, active learning but but hands on. So a lot of our programs really do have a lot of that. We leverage technology very heavily, even if it's in whether it's an engineering biology, any of those kinds of programs. Uh huh. As you said that the challenge became how do you very quickly pivot into an entirely online model when you sort of scatter shot all of your students and you don't really have a great sense of what they're gonna have access to and, um, and the abilities and connectivity they're gonna have. So this this kind of thing was really critical for us as we made that transition. >>Excellent. Mohammed, Were you working with you, NBC before the current move toe Go, go remote. Give us a little bit about the relationship and how that started. >>I believe, actually that the pandemic was the impetus to kind of drive this forward. Damien and his team reached out to loom in looking for a solution that would allow them to kind of have students access the applications that they normally would have access to in their physical computer labs. But with ah the change and not having to access those labs anymore needed a remote learning solution. A remote access solution for being able to access those high compute high graphics processing or memory intensive applications through the cloud. Taking into account the fact that you know, students won't have you know, that the highest end computer laptop, you know, they probably be working on a chromebook or a lower and machine, but need that compute power on. And then we had to kind of provide a solution pretty quickly because it was, you know, schools were shutting down, essentially physically started shutting down and needing to continue on with their coursework. Coursework? >>Yeah, Dave and I like to understand from your side. Can you share with us a little bit that time frames, you know, how fast did you go from? Oh, my gosh, We need this. We need proposals. We need to roll this out, and we need to have students. Ah, in teachers back up and running. >>Well, you know, I think the one thing from our side we had already known of element and we've been looking at that pre cove it. We knew we needed a product that that provided us this kind of agility and really gave the students some better access to the computing tools that they need it. So once we identify that, the thing that was amazing to me is is we moved from our existing system over to production illumination. It was about 2.5 weeks sort of start to finish and, you know, to get all the images to get all the technology running tested and everything up and running in 2.5 weeks for a full solution for a campus is was pretty amazing. And that was one of the real benefits we saw was going to the cloud. We also looked at this outside of code as something that really provided a major benefit to the students so that they could work from anywhere at any time rather than be sort of tethered to that physical lab. >>Well, I'm glad you raised that. So if you could Damien a little bit, you know, help us understand. How much are you using A cloud before? And it sounds like you believe that, you know, in the you know, I guess if we say postcode world, you would probably have some hybrid model. Would that be fair to say, >>Yeah, I think before we did have a different solution that was still cloud based. It was part of our business continuity. So we still had some semblance of virtual computing solution in the cloud. But it wasn't that extensive. And a lot of our individual programs chemical engineering, geography and others were using physical labs that the students would sort of scheduled times and be able to work in as part of their coursework. Uh, coming out of this, we fully expect if, if we're going on extended period of time where students are able to access these materials and these demanding software packages at any time from any kind of device coming out of cove it they're not gonna want to go back to that model where they're asking, you know, they have to get permission and go in and limited hours into a physical lab and sit there. This is going to be the expectation going forward is that they have this kind of access and this kind of flexibility from now. >>Yeah, this is I mean, they've gotten a taste essentially, and so, you know, they they see how easy it is to complete their coursework without actually having to trek across campus into a lab and kind of fight with the population to find a seat. This basically will become an expectation of an offering. >>Mohammed, what I'd love if you could drill in a little bit for us there, Architecturally speaking, of course, the cloud is built to be able to scale and move fast. So if you need capacity and need to scale up fast, that's great if in the future you still want to leverage the solution. But you can scale down, that should be possible. So maybe give us a little bit of you know how aws arc. It actually supports what you're doing and, you know, just from a pricing solution standpoint, how you'll be able to support the customer in today's environment. And however that path goes down the road, you'll be able to support that, >>right? I mean, so, you know, with the AWS cloud, we're able to, as you said, scale up or down as demand is needed. But we we've taken that even a little bit further where we're scaling based off of, um, students scheduling. So if we've got, of course, that we know that is running from 10 AM to 11 AM Your prior to that core starting will scale the environment up so that it's available for those students. If it's not, you know, more of, ah, in course, lab session, um, and then spin things back down after the course is done so that we don't have that those many, many machines sitting there running and burning the hours and running up the bill. You know, physical environment. You know, once you've installed it, it's there. It's always running. You cannot do that. But with the power of the cloud, we're able to go up and down. We're able to take things. Uh, you know, scale things down off hours. If we look at the patterns for a student usage, you know, off hours overnight take things down because you don't need those machines sitting there running, running all the time. >>And this is one of the biggest differentiators so many times in higher ed. We struggle to have to explain to companies and vendors and providers what our needs are and how we're very. We're very different from corporations and other other verticals with the bloomin solution and the capabilities in AWS. But we're really having this Taylor to our students schedules to the class schedules, and that kind of flexibility makes the product economically viable for us. But it also means that we don't get nearly the kind of push back from the academic side because it is really Taylor to meet their needs versus just something we're kind of shoehorning in. So that makes a huge difference in terms of adoption and the way it's perceived from a marketing, marketing and acceptance standpoint. Yeah, >>Dave and I'm curious. Once you did that initial rollout, how much of an on ramp is there for both the education, the educators side as well as student side? And you talked about having some flexibility as to how and when students use thing. That sounds great, but do you have to change, you know, office hours or the hours that the staff are leveraging that I'm just trying to understand the you know, the ripple effect of what you're doing? >>No, it's It's a fair point. We have done fairly extensive training. The students picked it up very quickly. What we with students? If there is a tool that they can use to do their work more effectively. They're going to use it, whether it's something we provide or something they find through other means. But what we've done is is reached out to all of our faculty that were training, that we're teaching in our physical labs and try to work with them to understand what the solution is, how they can sort of rethink some of their classes. And a couple of our departments have actually taking a approach of rather than said everybody in a virtual lab the same way they would sit people in a physical lab. They're moving some of this team or a synchronous so that the students can serve, work at their own pace and rethink how they structure some of those classes because of the flexibility being provided. But it does take a lot of training from the instructional side and some rethinking off this. But it the end solution is something that reaches the students where they are and the way they want to learn, which is a really powerful thing. We're always trying to do >>excellent, Mohammed. I'm wondering just broadly learnings that you have from what what's been happening Obviously, I'm sure you've been quite busy and responding to things. You know, what's been the impact on your business, how as a ws been as a partner to support the needs of what you're doing. >>Well, as you can imagine, the other things that just really blown up, Um, in terms of demand and being able to again through the plant power of the cloud, just being able to scale up and rapid deployment, you know, as we talk about earlier this deployment was, you know, 2 2.5 weeks from start to finish. Being able to do that, being able to do that with AWS tools have been, um, critical and moving things forward. >>Excellent. Uh, Damien, it's a sit back to you on this. You know, obviously, if you had had, you know, more time be able to plan this out if there might be some things that you would do differently. But what have your learnings been with this? And if you've been talking to your peers, any advice that you would give, uh, you know, as you've moved through this this rapid acceleration of the move to remote >>you Certainly. I think we would have certainly done some things differently. But we have been talking about this move for three or four months ahead of Covitz. So for us it wasn't. It wasn't quite as rushed as the actual deployment wound up being. I think the big thing is having having a vendor and having a partner where you can understand all the options. So the good and bad of the cloud is there's 100 different ways to do almost anything you want to accomplish and taking the time to understand what the different features and the ramifications of how you how you deploy and how you think. Think through that for us. We deployed one way because we could do it very quickly. And then we took the rest of the semester and part of this summer to do some more thorough evaluations to really ask our constituents you like this method or do you like some of the other, possibly some of the other possibilities and see which user experience they liked more? And then we're able to work with illumination, and they've been ableto very nimble in adjusting the services to meet what we've gotten our feedback on. So I think if I had to do it again, I would have done that testing ahead of time. But that's a very minor thing. These air really sort of small tweaks to just make life a little easier. Not fundamental differences in the what we're providing. >>Yeah, I'm Damien. What? One last question if I could, um sorry. Sorry, Mohammed. Just I'm curious from the financial standpoint, you know how much you felt that you understood what costs would be in some of the levers as to what are you using in the impact there? We've seen, you know, great maturation over the last handful of years. As toe. Yeah, you know, transparency and understanding how cloud actually is build. But I'm just curious if you have any final comments on the financial piece things, seeing that, it probably wasn't something that was in your budget for the last quarter. Yeah, >>it wasn't. That's very true. But we also knew that it was essential so that what we realized was we didn't know how often a lot of our physical labs and these classes were being used. So we knew there was going to be some unknowns. We've moved to this would have to see what adoption was but be able to get the reporting out and working with Mohammed and others to really start customizing in the cloud. That's the beauty of it is we recognize we saw some really fascinating patterns where during the week people would use this sort of as you'd expect. But on the weekends it was in the evenings. Nobody, nobody is logging on Saturday or Sunday morning. But boy at eight PM there's a good bit of usage so we could tailor and do some of that off hours work and really slows things down. Having that visibility has made the economic piece much more viable and really being able to tweak the computing power with two different needs of the different classes. So it's actually been fairly easy to understand, but it was a ramp up where we have to sort of guess at first and then understand our own processes. But that's more sort of the If you don't have good data coming in, it's hard to get it. Get it out. Excellent. Mohammad, I >>want you to kind of give your lessons learned. Obviously, it's a technology space. You've been in. Ah, and it's just been an acceleration of some of the things you're working on. So lessons learned advice you would give Teoh, you know, other companies of the universities and education No facilities out there, >>Right? And, you know, this is again speaking to the power of the cloud, right? Some of that one of the biggest lessons learned here is you don't necessarily need to get it right the first time. It's name and saying was saying, You know, we went back kind of analyze what we were staying in after the initial deployment, took a look at the actual usage and kind of adjusted, based based off of that. According to that, taking and feedback from faculty members on how they were using a system in tweaking the presentation or tweaking applications on the back end for accommodating those needs. That's the power of the cloud being able to adjust on the fly. You're not. You don't have to be committed to every single bit there. Uh, and being able to change it on the fly is is just something that is kind of natural in the cloud these days. >>Excellent. Well, thank you both. So much for joining us, Damien. Thank you for joining and moving forward. Sharing your story. I wish you the best of luck going forward. And Mohammed Big. Congratulations on winning. You know, super important category. Especially here in 20. Funny congratulations to you and the team. >>Thank you. >>Yeah, Thank you. Alright, stay tuned for more coverage here from the AWS public sector is their partner awards program. I'm Stew men a man And thank you for watching the Cube. Yeah, yeah, yeah, yeah.
SUMMARY :
We're talking to the Amazon Web services, Thanks for having us. and, you know, in the technology space. that force work they could be in, you know, in at home, have some idea of the challenge that was put in front of you when As you said that the challenge became how do the current move toe Go, go remote. Taking into account the fact that you know, students won't have time frames, you know, how fast did you go from? you know, to get all the images to get all the technology running tested and everything up and running I guess if we say postcode world, you would probably have some hybrid model. you know, they have to get permission and go in and limited hours into a physical lab and sit there. Yeah, this is I mean, they've gotten a taste essentially, and so, you know, of course, the cloud is built to be able to scale and move fast. I mean, so, you know, with the AWS cloud, we're able to, as you said, scale up or down as demand But it also means that we don't get nearly the kind of push back from the academic side the staff are leveraging that I'm just trying to understand the you know, is something that reaches the students where they are and the way they want to learn, I'm wondering just broadly learnings that you have from rapid deployment, you know, as we talk about earlier this deployment was, you know, as you've moved through this this rapid acceleration of the move to remote So the good and bad of the cloud is there's 100 different ways to do almost anything you want to accomplish Just I'm curious from the financial standpoint, you know how much But that's more sort of the If you don't have good data So lessons learned advice you would give Teoh, you know, other companies Some of that one of the biggest lessons learned here is you don't necessarily need to get it right the first time. Funny congratulations to you and the team. I'm Stew men a man And thank you for watching the Cube.
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Wei Li, Children’s National Research Institute | AWS Public Sector Online
>>from around the globe. It's the queue with digital coverage of AWS Public sector online brought to you by Amazon Web services. Welcome back. I'm stew minimum. And this is the Cube coverage of Amazon Web service Public sectors, online summit Always love. We have phenomenal practitioner discussion. Of course, public sector includes both government agencies, universities, education, broad swath, you know, inside that ecosystem and some really, you know, important and timely discussion we're having. Of course, with the global pandemic Kobe 19 happening. I'm really happy to welcome to the program Wei Li, who is a PhD and principal investigator as well as an assistant professor both Children National Research Institute associated with George Washington University way Thank you so much for joining us. >>Yeah. Thank you for the opportunity. We're here. >>Alright. Why don't we start with Ah, give us a little bit of you know, your research focus in general. And you know what projects it is that you're working on these days? Yeah, >>sure. So, yeah, so hello, everyone. So our laboratory is many interested in using computational biology and jim editing approaches to understand human genome and human disease. And we're particularly interesting in one gene editing technology will be called CRISPR screening. So this is a fascinating, high for proven technology because it tells you whether one doctor 20,000 human genes are connected with some certain pieces fit in type in one single experiment. So in the possibly developed some of the widely used every reasons to analyze the swimming data has been downloaded off by over 60,000 times. So it's really popular, and right now there are a couple of going projects. But basically we are trying to, for example, problem in machine learning and data mining approaches to find new clues of human disease from the original mix and screening big data on. We also collaborated with a lot of blacks around the world and to use this technology to use this technology to find new cures and drugs for cancer and other decisions. So this is the basic all the way off our current research programmes. Interns off the Conradi 19 research. I think one of the major projects we are having is that, um, we noticed that Christmas winning and other similar screening methods has been widely used in many years. Many research adapted to study waters infection. So in the past 10 years we have seen people you are using their Christmas screening and our AI suite, for example, to study HIV is a car wires, best bars, Western ire virus, Ebola influencers and also coronavirus. So that raises an interesting question from us if we collect all the screening data together. But these viruses, what a new information can we find that we cannot identify for the single study, for example, coe and identify new patterns or new human genes that are that are common in responsible for many different viruses? Type of all, we can find some genes that I work only for some certain people viruses so more well, we know that there are a lot of drugs that target different genes, and we are particularly interested in, for example, can repurpose some of these drugs to treat different hyper viruses, including Kobe, 18 19. So that's the one of the major profits off ongoing research, right and left ready to call the idea, writing So India. And we hope that we can find some new new Jim functions that after that that are broader, really essential for different hyper viruses. I also new drug targets that can potentially treat existing a new drug existing and new viruses, including compared to 19 >>Yeah, crisper. Shown a lot of promise is definitely a lot of excitement in the research community to be ableto work on this. You talked a little bit about, you know, big data, obviously a lot of computational power required to do some of the things you're talking about. Can you speak a little bit to the partnership between computer science and the medicine? How do you make sure on that? You know, there's that marrying of, you know, the people in the technology focus in the medical space. >>Yeah, so I think, Yeah, my my research background is actually from computer science. I call her on the grand graduates from their committed size. So I know a lot about some of the signs and have arisen. But right now it's quite interesting because our research for focus half on computer science and half on their medicine. So it's a complete heart experience, but it's really super was a super exciting to connect both women in science and medicine together. So I think most of the time we are focusing on the coding and the average analysis on. But at the same time, we also spent a lot of time like interpreting the results. In essence, we need a lot off. Yeah, knowledge from biology and medicine to make sense, to make our results since and interpret double in the end, we hope that our results can be They went into a son, for example, canonical, actionable solutions, including new drugs. >>Yeah, it's if you think about you know, the research space. You know, often you know its projects that you're taking months or years to investigate things for talking about the current code 19 pandemic. Of course, there's a critical need today for fast moving activities. So you know what? What are the outcomes from the cover? 19 aspects of of what you're working on. What are some of the outcomes that we might be able to help patients survivability and other things regarding, You know, this specific disease? >>Yeah, So I think there are two major are I would say there are two major benefits from their outcome of our research project. So the first the first thing is that we hope to find some genes that have that can be potentially drug targets. So if they are existing drug second heavily genes, then that would be perfect because we don't need to do anything. Apologies. We just need to try that. Extend existing drugs Toe cabinet is James and in the end, we hope that these drugs can have the broad on the wire. I would say the broad answer. Borrow activity. That means that and you leave, for example, if these drugs can be potentially used to treat Cooley 19 and sometimes in in several years later in the future if there's a new virus coming out. Hopefully they were doing like they're it's already the drugs that target known Gene. Hopefully, that's there were assume the noon numerous that never happened in something the future. But I hope that when the new risk is coming, we already have the new drugs to track it this way. Already have existing drugs to target these viruses, so that's one part and the alibis that way. We have, like, spend a lot of kind of, for example, collecting the genomics and screening data, and we are hoping that our research results can be freely accessible around the road by many different researchers in different laps. So that's why we are rely on AWS to build up there to process and to analyze the data as well as to, uh, to build up an integrated database and websites such that are the outcomes off our projects can be freely accessible around the world. Many other researchers. >>Yeah, great. I'm glad you connected the dots for us. For aws can you speak a little bit too? Obviously, Cloud has, you know, the ability for us to use, you know, nearly infinite computational capabilities. What's specific about AWS helps you along that project. Uh, let's start there. >>Yeah, So I think our AWS really helps us a lot because we developed on average and process their screening data actually takes, like, two or three days to Christmas one data. But if you were talking about, like, tens or hundreds or even thousands off the screen data existing, the high high performance cross team doesn't really help because it takes maybe years to finish. AWS provides, like flexible computing resources, especially the easy two instance that we can quickly deploy and process in military short amount of time. So our estimation is that we can reduce the amount of Time Media 2% to process the poverty Christmas. We need data from months to just a few days. So that's one part and the other guys that we are trying to build up the website and database, as I mentioned before, with which we host a large amount of data. And I think in that sense, AWS and the commuting instance as well as the AWS RDS service really helped us a lot because we don't need to worry too much about. There's a lot of the details of the after deployment off their database and the website. We just go ahead and use that as a service is really straightforward and save us a lot of kind of effort. >>Yeah, and you talk about the sharing of data. Information is so important, But of course it would, talking about medical data highly regulated. So you know what's important to the cloud to make sure that you can share with all the other researchers yet still make sure that there is the security and compliance that is required? >>Yeah, so yeah, that's a really good question. So right now, we don't really need to do if the patient information because all the data we get this from the public domain, it's It's both on the human sound lines, not on human patients. So we don't have their concerns about the privacy protections at this moment. But I think in the future, if you want to integrate genomics state our reach, this screen indeed A, which is already in my research plan. I think the highly secure AWS system actually really provided a really nice for us to do this job. >>Can you give us a little bit? Look forward as to where do you see this research going? What applicability is there before? What you're doing now? Both. You know, as this current pandemic plays out as well as applicability beyond Corp in 19. >>Yeah, sure, I think I think one of their major focus off our current, The company in 19 project is that we hope to find some drug targets tohave the broader under fire activity. So I think in the future, if they knew where it's coming out of the estimated locally in the 19 we hope that we are well prepared for that. I think in the future they're sharing as well as collateral cloud computing. You'll be becoming more and more important as you can see that most of us are working from home right now. So it's really critical to require us to have the platform toe accelerate accelerating sharing between research labs and around the world. And I think many different. I think aws provides this really nice preference for us to do this job well. >>Wei Li, thank you so much for sharing with our audience your updates, really important work. We wish your team the best of luck and hope that you also stay safe. >>Yeah, thank you so much. >>Alright, Stay with us for more coverage from AWS Public sector Summit online. I'm stew Minimum And thanks as always for watching the Cube >>Yeah, yeah, yeah, yeah, yeah
SUMMARY :
AWS Public sector online brought to you by Amazon Why don't we start with Ah, give us a little bit of you know, your research focus So in the past 10 years we have seen people you are using Shown a lot of promise is definitely a lot of excitement in the research community of the time we are focusing on the coding and the average analysis What are some of the outcomes that we might be able to So the first the first thing is that we hope to find some genes that Obviously, Cloud has, you know, the ability for us to use, So that's one part and the other guys that we are trying to build up the website and database, So you know what's important to the cloud to make sure that you can share with all the other researchers do if the patient information because all the data we get this from the public domain, Look forward as to where do you see this research going? The company in 19 project is that we hope to find some drug targets Wei Li, thank you so much for sharing with our audience your updates, Alright, Stay with us for more coverage from AWS Public sector Summit online.
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Jimmy Chen, Propel | AWS Summit Digital 2020
>> Narrator: From theCUBE studios in Palo Alto and Boston, connecting with thought leaders all around the world. This is a CUBE conversation. >> Okay, welcome back everyone, it's theCUBE's virtual coverage of AWS Summit Online, they're virtual. Then I'm John Furrier, your host of theCUBE. We're here in our Palo Alto studios for theCUBE virtual. We're remotely doing interviews during this COVID crisis. We have our quarantine crew, we're doing our best now for two and a half months getting those stories out, and today is AWS Summit. It's going to continue online, it never ends. It's virtual, it's asynchronous, but more importantly, let's get to great content. Our next guest Jimmy Chen, CEO of Propel. Great entrepreneur, vision with real impact and this is a story that is super important in my opinion, because it's a tech story and it's a social impact story. And you don't have to do one or the other, you can do both these days. This is going to be great. Jimmy, thanks for spending the time with us today. >> Yeah John, thanks for having me on the show. >> So, I want to get into the broader entrepreneurship and social impact as an entrepreneurial thing, which I think is a total awesome opportunity. But, you guys are using AWS for good, Propel, Take a minute to explain Propel the company, the things you're working and what you're passionate about. >> So Propel, we're a tech company based in Brooklyn that build software to help people navigate safety net programs like the food stamp program. There are about 40 million Americans who get their food stamp benefits on a debit card, called an EBT card, which looks kind of like a debit card or a credit card you get from a bank. But, when we spent time talking to people who use these cards to buy groceries, we actually found that it has kind of a weird quirk, which is that everyone who goes grocery shopping with an EBT card has to call the 1-800 number on the back of the card first, because that's how they can check the balance. And if you try to check-out at the grocery store you don't have enough left on your card, you get into this really embarrassing experience of having to decide, do you want three apples or two, and trying to figure out how to get your balance to be appropriate for the amount of food they're trying to buy. And so, we actually found that this pain point of needing to call the 1-800 number to go check your balance on your EBT card is a really common one that's felt by all 40 million of these Americans who use the food stamp program to put food on the table. So, what be built at Propel is really simple, it's a mobile banking app for the EBT card, the same way that you have a mobile banking app or your banking product, that we've created a digital free app that allows someone who gets their food stamp benefit on an EBT card to check their balance, to see their transaction history and more broadly actually to improve their overall financial help. >> And mends also the quality of life, knowing confidence whether whatever they're going through, that's something they're going to feel about as well. Talk about the tech piece of it. Obviously, this is a good example of something that I've been really riffing on for many years now, and just trying to get people's attention to is that cloud computing changes the game on social impact, because the time to get to the value, which is well talked about in entrepreneurial circles, later got funded, I got product market fit, applies to anything. And this is really spawning a new generation of entrepreneurship. This is a real thing and Amazon does that. What's your experience with AWS in this area? >> Well, our experience over the last month and a half in the middle of the COVID crisis I think has really driven home the value of AWS for our business, which is that, you know, at the start of COVID we had about 2 million people who used the Fresh EBT app on a monthly basis to manage their existing SNAP benefits. Unfortunately, as the economy has worsen and people's usage of safety net services as has increased, so has our userbase. And AWS has been really key to us, being able to scale our services, to be able to help an extra million people start using the Fresh EBT app essentially over the last few weeks. And so, you know, to your point about infrastructure and scale and technology, for us it's really been about, what are the best practices in the consumer tech worlds? And how do we apply those to help people that are lower-income and generally deal with experiences that are less good. >> You know, I've talked about though is something that I've been really talking a lot about, and maybe I'm a little bit older, but the younger entrepreneurs, they love to be agile and everything else. But what you're doing and what you've done is really have agility, but when you have these hard times everyone uses the word pivot. Which I hate that word pivot, it means to me like, it didn't work out, I'm going to pivot to something else. But to me, I think what's available when you're using the cloud, like what new position you're in, you built an app for a use case, you had product market fit. This COVID crisis becomes a tailwind for you, because actually your app helps people that are in need, but it also might give you an opportunity to do other things really fast, which means jump on an opportunity, not necessarily pivot. I mean is that tacking, pivot? It's kind of semantics, but it's a cultural mindset. And I want to get your thoughts Jimmy on how you see your business changing where you can actually take what you've built on the trajectory in the climbs of scale, the steep learnings. And then also take new territory down, whether it's a new service, helping people in need, 'cause that's the mission. Now you have flexibility. >> Jimmy: That's right. >> Talk about how you think about that, and what are some of your opportunities that you see. >> Jimmy: Well, the reality is that financial life for people who are low-income and using safety net services changes rapid. And there's no better example of this over the last, you know, few decades than the COVID crisis. Over the past few months, people who are using food stamp benefits have had really an unprecedented challenge over the last few months. It's been tough for everyone, but our survey data shows that for people who were getting food stamp benefits and working in early March, 86% of them have now lost some source of income, or have had their hours cut. And so I think one of the things we're starting to hear from our users is just the unprecedented type of need that they're facing and that they're turning to apps like the Fresh EBT app, to help them to navigate this particular crisis. To answer questions like, "What are the nutrition programs "through the government that are available to me? "How do I get a stimulus check? "What about the unemployment program? "And just, what are the full set of safety net resources "that are available to help someone like me "to get back on my feet and to make it through "this unprecedented financial hardship?" So, to your point about pivoting, you know, it's not necessarily, I don't think of it as pivoting, I think of it as like as responding to the real changes in user need. >> Yeah, ceasing opportunity on your position of your value proposition. Jimmy talk about the company, that your company launched a new service, Project 100. What is that about? Can you take a minute to explain that? >> Project 100 is a partnership between Propel, Stand for Children and the GiveDirectly team, which is the other two are nonprofits that are focused on different aspects of serving people that are in financial need. And it is a partnership that we've created to raise a $100 million to be able to make cash transfers to a 100,000 people who use the Fresh EBT app and are in financial need. So, Propel's role in this is that we, because our app helps people that are getting their food stamp benefits, we can certify that this is a person who is in financial need and uses, essentially, the status on the food stamp program as a proxy for, this is a family who really needs help to get through this crisis. We've been fortunate to have a lot of donors who are very generous and interested in finding ways to support, you know, people that are going through these types of financial hardships. And so, we've been fortunate to raise already about $70 million through this program. But, I think we still have a ways to go to reach this $100 million goal, where we really think that, that was a material impact on helping low-income Americans weather this financial shock. >> Well, I really appreciate what you're doing and thanks for what you're doing, it's great, and I think it's a great opportunity. Got great product market fit and you got a lot of horizontal opportunities to go after as you're more successful. I also want to get your thoughts real quick on tech entrepreneurship. It's been very glamorous over the past couple decades, to be an entrepreneur, but ultimately it's about creating value. I think, you're seeing with the cloud a lot of opportunities that aren't the traditional, you know, go public, built, raise a bunch of money, really either for profit or nonprofit, really in highly social impact situations. This is a growing field and you're doing it. Can you share what you're seeing and what advice you could give folks who are really thinking about having a mission driven opportunity. >> Jimmy: Well, I think that people solve the problems that they understand, and that traditionally tech entrepreneurs understand the very specific set of challenges, because the demographics of tech entrepreneurs are a smaller set than the overall population in the United States, right? Tech entrepreneurs tend to be male, they tend to have a college education, they tend to live in cities like San Francisco or New York City, and they tend to have a lot of money. But the reality is, that's not the demographic of people who use technology in the United States and so if people solve the problems that they understand, whose going to solve the problems that people on food stamps understand, if there are not a lot of people who are on food stamps that are starting their own software companies? And so I think the power of tools like Amazon Web Services and the cloud that allow people to be able to create new technology in a record amount of time and scale that, is the ability to democratize who gets to build the technology that people use, right? It means, both being able to help people who traditionally would not have the resources to start a new type of organization, to start a new one, but it also means being able to help companies like mine identify these types of challenges, to learn about the needs that people who are low-income have and be able to scale a product. >> Phenomenal mission Propel. Jimmy Chen, CEO of Propel. If you're designing a product, or art, or anything, you got to know who you're designing it for. And great point, and people solve problems that they understand. Thank you for what you're doing. Congratulations and continue success. We'll keep in touch. Thanks for coming on the virtual CUBE, thank you. >> Jimmy: Thank you so much for having me John. >> I'm John Furrier here on theCUBE for theCUBE virtual coverage of AWS Summit Online. A virtual conference has gone a way to virtual, so is theCUBE. Until further notice, we're going to do our part in our studio in Palo Alto, the studio in Boston. Checking in with folks and getting the updates. We're all in this together, and I'm John Furrier with theCUBE. Thanks for watching. (bright music)
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Rebecca Knight, Journalist | CUBE Conversation, May 2020
from the cube studios in Palo Alto in Boston connecting with thought leaders all around the world this is a cube conversation hey welcome back all righty Jeff Rick here with the cube we are in our Palo Alto studios today and as we continue to go through week after week after week of the kovat crisis the kovat situation you know we've been focusing on leadership and we've been reaching out to the community to get their take on you know what's happening best practices things that they can share to help and to share knowledge with the rest of the community and we're really excited to have our next guest Rebecca Knight you know her as a guest host on the cube she's actually been a freelance journalist for decades and writes for all the top pubs it's how we met her in the first first place doing some working at mighty so Rebecca first off great to see you it's been too long we were supposed to be together this week but situation kind of changed the schedule a little bit indeed it's so it's so good to see your face Jeff and it's so fun to be working with the cube gang again even though we are we are many miles apart right now we should all be together but but I'm really happy to be you're happy to be talking to you great well I am too and let's let's jump into it because you know you've been writing about leadership but really why I wanted to reach out with you is instead of you kind of co-hosting our guests really get get your perspective on things because you've been writing about leadership for a very long time so now that we're I don't know six weeks into this thing what are you writing about what you know it has it has the the topics kind of shifted you know over the last several weeks what's kind of top of mind what do you publish in this week absolutely the topics have shifted in the sense that there is only one topic and that is hope at 19 and that is how our managers coping with this with this health crisis this pandemic that is all over the world of course and a huge part of our workplace right now managers are just dealing with this unprecedented event industry and trying to be a sense of strength for their colleagues and for their direct report at a time where they themselves don't really know what the future holds none of us know what the future holds and so this is a very our managers right now and so that's that's a lot of what I'm doing for her for Harvard Business trivia now there's so many pieces to that one you know we've been talking a lot about it as being kind of this light switch digital transformation moment because even if you had planned and people have been planning and things have been slowly moving whether it be working from home for jobs or remote education in higher education or a lot of these things they were kind of you know moving along and all sudden boom full stop ready set go everyone has to stay home so that there wasn't really a plan a rollout plan and it's quite a challenge and the other thing is not only for you the individual who's going through this but their significant other or spouses also home the kids are also home and again nobody really got an opportunity to plan and try to think some of these things through so it's it's it's not only just working from home but now it says pandemic that adds all these extra layers of complexity and to you to your point uncertainty which is always the hardest thing to deal with you know Jeff I've actually been working from home for over a decade now I work for the Financial Times for about four ten years and that and I even and then I was Boston corresponding for the FT working from home I was following a bunch of writers on trip Twitter people are writing and saying working from home is the worst and I'm constantly please like concentrate this I will never want to work from home and then all these writers were chiming if they hold up theirs working from home and then there's working from home during a global pandemic two totally different things um but you're absolutely right this is a time where our families are underfoot we're trying to homeschool our children we are quarantined with our spouse trying to make our marriages work and also trying to do the job that we're being paid to do if we're lucky enough they'll be employed or still have assignment I in the hoppers though you're right this is this is a very this is not necessarily the test of remote work and remote learning that I think we all deserve and we will some day have and we're showing this is obviously an experiment and in some ways that's showing that it can work in ways but there is also this is this isn't exact this is more oh hey you have eight days to get all your employees online right now or eight days to roll out your curriculum so this is not quite exactly what we'd all had in my remember talking about the future of online education or the digital organization but but it certainly interested the watch all happen so it's funny as part of this we had Martin make us on and he has been running distributed teams for decades and it was really funny his take on it which was that it's so much easier to fake it at the office right and and to many people we had Amy Hayworth on from Citrix and in a blog that she referenced you know eventually people will start judging people based on outcome versus behavior and activities and it just it strikes me that in 2020 you know is this what it's taken to get people to actually judge people by their output and I think you know Martin's other take was that when you work from home all you have is your output you know you don't have kind of looking busy or saying hi to the boss or the car looks really great today you know you only have your output in his take was it's actually a much easier way to decide who's doing the job and who's not doing the job yeah you know I'm of two minds with that because I think that there is so much to be said for the teamwork there so I mean you may not be the person who is definitely always pedal to the metal getting every single thing done checking all the boxes you you know I mean obviously you have to be sort of have a baseline of productivity and engagement but there's also just you're someone that other people like to work with you're someone who offers good ideas who can be a really good sounding board who just will have those moments of creativity that are really important for a theme to be to succeed and to get to get to the finish line and I can get again I'm not saying the people who are just have just been coasting oh yeah this is it for you but I'm just saying that there's a lot of different personalities and a lot of skills that then go into making a great high-functioning team it takes all type and so and so I think that we are missing that we are missing the camaraderie the collegiality of the watercooler chat and and that where teams do a lot of problem solving is is sort of that informal conversation that right now a lot of us are missing because we've all had way too much zoom and no one wants to just sort of shoot the breeze on zoom with anyone so what so what are you telling people so unfortunately you know this is not how we would have planned it and we would have probably transitioned it a little bit smoother matter but here we are and were actually now five six weeks into it and the I think the the Monday was I think March 16th was the big day here in the Bay Area when it all kind of got got official so what are some things that you're sharing with with leaders and managers you know some specific things they can do some specific tasks that they can do to help get through this better the first thing I would say and this is what I'm hearing from the experts that I'm talking to the people who really study crisis management is first of all it's deal yourself this is this is a challenge of a lifetime and you are leading through something that is hard and you need to understand that and and first of all don't be too hard on yourself because this is this is this is really difficult this is what they're going to be writing case studies about in business schools for decades for to come these are really big management challenges steal yourself be ready for the challenge make sure you are taking care of yourself getting enough sleep getting rest on the weekends time with your family and friends do exercise eat right don't just snack on Cheetos all day long make sure you are taking care of yourself in terms of interacting with your employees and your team obviously like I just said everyone everyone cannot everyone's zum fatigue is real um but at the same time you do need to make time to talk to your team and say hey how are you how are things make sure that people are you wait no baby we need to make sure that you have your your finger on the pulse of your team and make sure everyone's mental health it is they okay so yeah empathy humility it share with your team problems that your the your face singing yourself I mean obviously they should not be the repository for all of your fears and insecurities and worries about whoa I don't know if I got a turn am I gonna have a job next week but um but at the same time II talked about the challenges you're facing too your team needs to know that you aren't a superhuman you know you you're a human too you're going through this just like they are right that's what's such a weird thing about it - you know having been through a couple of events like the earthquake or Mount st. Helens blowing up you know the people that were into that area when something like that goes down have a common story right where were you in the earthquake where are you and mount st. Helens blew up but now this is a global thing where everyone will have a story where are you in March 20 20 so the fact that we're all going through it together and there's so many stories and impacts you know the more people you talk to you know the layers of The Onion's just keep on peeling - more and more and more impact but I'm curious to get your take on kind of how you see once we do get out of this because whether it's 12 months or 18 months or 24 months to get to a vaccine you know now it seems like forever and the grand scheme of things it's going to be a relatively short period of window but but over that time you know behaviors become habits and I'm just curious to get your take as to when it's okay to go back to work whenever that is I don't see it going back the way that it was because who's gonna want to sit on highway 101 for two hours every morning once you've figured out a pretty good routine and a pretty good workflow without doing that how do you see it kind of shaken out so I couldn't agree more and this is a night like I said I've worked from home for many many years and so I do think that people this is dispelling the myth that you need to work where you live you have a lot more agency and a lot more freedom to get your job done anywhere you want to live and if that's in a city because I mean God willing sports will come back and pewter will come back music and all the reasons we love living in cities but will one day be able to do that again but if you like living near the mountains or near the ocean you can do that and get your job done so I think we're I think you're absolutely right about that we're going to see many more people making a decision about you know this is the life I want to live and I can still might do my job and yet people still like being around other people I mean I think that's why we're all going a little stir-crazy right now is because we just we missed other people we miss interacting and so I think that we will have to think about some ways to create different kinds of offices and crap we work type things but I think they could just be different offices all over and they can be in the suburbs they can be in the mountains and it could just be a place where people come together and sometimes they're in the same industry field sometimes may be the same company but I think that they don't even necessarily need to be that way I think that some people will want to work from home and I think other people will want to go someplace even if it's not what we think of as the typical American office right but I even think in and I used to think this before right as you know I ride my bikes and do all my little eToys but you know even if people didn't commute one day a week or didn't commute one day every two weeks or two days a week you know the impact on the infrastructure to me some of these second-order effects is you know looking at empty freeways and empty streets demonstrate that we actually have a lot of infrastructure it just gets overwhelmed when everybody's on it at the same time so just the whole concept of going in the same time every day of course if you're in construction or you're in trades and you got a truck full of gear that you have to take that's one thing but for so many people now that our informational workers and they're just working on a laptop whether it be home that we work or we're at the office you know even shifting a couple of days a week I think has just a huge impact on infrastructure or quality of life you know the environment in terms of pollution gas consumption and on and on and on so yeah I don't think it will go a hundred percent one way or the other but I certainly don't think it'll go 100 percent back to you know going in the office every day from 8:00 to 5:00 I I couldn't agree more and just be the idea of the quality of life I mean you know I'm I have two children 9 and 12 and they are doing their school work from home and they're they're doing all right they're hanging in my older one in particular I say that she's sort of this mix between a graduate student and a young MBA because she's got her little devices already zooming with her science teacher than play rehearsal there but but um you know why I think that the slowing down has actually been kind of good for them too because they're busy kids and they have a lot going on and actually having family dinners having board games watching family movies going for family hikes in the weekends that has been really good but in her forever I mean obviously we're also indebted and grateful to the frontline workers and and we we also see there is a lot of loss around us people losing loved ones to this horrible disease and then losing livelihood but I think and then we are seeing a few silver linings than this too so I think sometimes our quality of life it has for some people this has been quarantines getting a little old but at the same time I think that there has been some bright for a lot of for a lot of people yeah I think I think you're right in again it's a horrible human toll people getting sick and dying and in the economic toll is gargantuan especially for people with no safety net and are in industries it's just don't exist in right now like travel and leisure and and and and things that are in the business of bringing people together when you can't bring people together but just final question before I let you go is is really on higher education so it's one thing with the kids and in k-12 and you know how sophisticated are an ability to learn online but I'm I'm really more interested to get your take on higher education because you know you've already got to kind of this scale back in terms of the number of physical classes that people attend when they're and when they're an undergrad and the actual amount of time that they spend you know in an lecture I mean this is this now knocking that right off of the table and I'm just really curious to get your take on higher education with distributed learning because it's it's something that's been talked about for a long time I think there's been a lot of resistance but again this light switch moment and if it goes on for into the next school year what's what what's that going to do to the kind in higher education and the stance of of how much infrastructure they actually need to support educating these kids well I am a Wesleyan grad and the president of Wesleyan was quoted in the New York Times this weekend talking about that this very topic thing that this has really shown us the value of a residential or not necessarily for year but residential education where people are together and they are able to Bure be creative have fierce debate in the classroom that is just frankly not possible with remote learning or at least not to the same degree since the same extent and the kind of accessibility you have with professors particularly at a small liberal arts school like the one that I went through I think that Jeff a lot of a lot of colleges are not going to be able to survive this because they're just they are so different tuition dependent and a lot of kids are going to defer if they if they say you know if I can't be at college in the fall I'm gonna take a year off and go to Community College or I'm going to you know do something else take a gap year and then reassess my options once this health crisis passes and I think that for a lot of colleges that's just that's just not tenable for them and for their for their operations so I'm afraid that a lot of businesses and a lot of colleges their point of closed yeah it's just it's just crazy the the impact and just showing you know as you said we are social beings we like to be together and when you when you stop people from being together it makes you really realize how often we are together whether it's you know weddings and funerals and and bar mitzvahs and and those kind of things in church and family stuff or whether it's business things conventions concerts sporting events means so many things street fairs you know are really about bringing people together and we do like to be together so this too will pass and and and hopefully you know the Warriors in this battle thankfully are super smart you know we're hopefully using a lot of modern compute that we didn't have in the past thankfully we have things like like the Internet and zoom that you and I can talk from 3,000 miles away so I'm glad you're hopeful I'm hopeful we'll get through it and and then we can get together on a set and do some interviews together I can't wait exactly all right Rebecca well thanks for checking in be safe look forward to seeing you in person and and until then have a great I guess May we're into May Mother's Day coming up so happy Mother's Day a few days early thank you very much Jeff it was a pleasure working with you again all right we'll take care she's Rebecca I'm Jeff you are watching the cube thanks for checking in wolf see you next time [Music]
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hardest thing to deal with you know Jeff
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Leigh Phillips, SaverLife | CUBE Conversation, February 2020
(funky music) >> Hi, and welcome to this CUBE conversation from theCUBE Studios in Paulo Alto, California. I'm your host, Sonia Tagare, and today we're joined by Leigh Phillips, president and CEO of SaverLife. Leigh, welcome to theCUBE. >> Hi, thanks so much for having me. >> Absolutely. So, tell us more about SaverLife and how it works. >> So, SaverLife is a non-profit organization. We work nationally, but we're based here in San Francisco, and our mission is to help working American families to save money, and to invest in themselves and their futures. So, we do that by making it engaging, rewarding, and fun for people to start saving, and leveraging financial technology to achieve scale. >> And you were previously known as EARN, so what spurred this change in branding? >> Well, it was more than a change in branding. It was actually a big shift towards technology. So, EARN, or, now known as SaverLife, has actually been around since 2001. So, we are not new, we're not a starter, we've been helping low to moderate income working families to save money for a long time. But what we've realized in recent years is that the size of the problem is really quite significant. So, about half of American families don't have $400. So they couldn't cover a $400 expense without having to borrow the money. As EARN, we were helping a lot of families here in the Bay Area, but maybe, you know, a thousand families a year at our peak, and when you have half of America that's financially insecure, we knew that the solution that we had wasn't big enough. So, a couple of years ago, the organization decided to make a pivot, and to make a pivot towards technology. I came onboard about four and a half years ago to lead that transition, and we launched SaverLife as a product, and we reached a quarter of a million people in a couple years, and decided that the people know best, and that we would rebrand the whole organization as SaverLife. So that's kind of how that came about. >> That's awesome. >> Yeah. >> So who is SaverLife specifically targeting, and are there any specific challenges with this target group? >> So, SaverLife is specifically targeting working American families, mostly low income families, so as I mentioned, financial insecurity is a really big problem here in the US, and so we hear about that a lot in the news, about income inequality, wealth inequality, but one of the most troubling statistics came out from the Federal Reserve Bank, they found that about 42% of American families couldn't cover a $400 expense without going into debt. And that's an issue that affects lots of people in different ways. So, SaverLife is really targeting low income people who are struggling to save money, and need a little help getting started with that. So, most of our clients are women, they're all across the United States and on average make about 25 thousand dollars a year or less. >> So let's talk about the current savings crisis in America. According to Bankry, 20% of Americans don't have emergency savings, and only 18% of Americans can live off their savings for only six months. So, tell us more about this crisis, and what do you think the underlying issue is? >> Yeah, it's a great question, and there are many issues that play into that, and most of them are systemic, you know. The way that people are making money and the gap between income and expenses. So, what we see is that larger numbers of people don't have basic emergency savings, and what that means is that you can't get through a financial emergency, right? And so that can have a real downward spiral effect on your life. So imagine a scenario where you have to miss a day or two of work because your child is sick, and you don't have sick leave, like a lot of people don't. And so you miss a couple days of income. Or, you get a flat tire, or a parking ticket. Those are the types of things that can really spiral out of control, so then you lose income, then you can't pay your rent, you're at risk of eviction, and all of these other problems. So what we know is that having relatively small amount of money, so even just 250 to $750 in savings is found to reduce those risks of things like eviction, or falling behind on bills or utilities really significantly. So, we're focused on getting people to that point, so that they can get through challenges. So one of the big things that we see in our population, isn't just that wages are low, which remains a really big problem in the US right now, but that income is really inconsistent. So if you're making an hourly wage job, or maybe you work in retail, or you work in a warehouse, or something like that, and you drive for Uber, whatever the case may be, your money that's coming in, you're not getting the same amount of money in your paycheck every two weeks, right? Like many of us do. And in fact, for SaverLife clients, we're seeing these swings of income of around a thousand dollars a month, month over month. So sometimes you earn more and sometimes you earn less. So in that scenario, it's really hard to stay on track towards saving, because you don't know how much money's coming in, and then you're getting hit with all these increasing expenses at the same time. >> Right. And, can you tell us a little bit about how people can save their way to financial independence, is it viable, and how have challenges changed since the disappearance of defined-benefit retirement packages? >> Yeah, so, it is possible, but it's challenging, and, you know, I do think that we need to be aware of those kind of bigger issues, right? And to focus on helping people have more consistency in their income, and reducing some of those large expenses, whether or not in, the very obviously, the cost of housing, medical care, child care, transportation, all of these things that are really holding families back. But, you know, the good news is that people are remarkable. People are resilient, and people are remarkable. And I can share a couple of stories with you about that. So, at SaverLife we encourage people to save with prizes and cash rewards, right? So we make it really easy for people to get started. We also have a really supportive online community, so this is an issue that affects half of us, right? It's not something that people should be ashamed of. This is a really big and endemic issue here in the US. So we don't judge people, you know, it's all about starting small and starting today. So what we do at SaverLife is encourage people to save what they can when they can, and then we use behavioral economics to design programmatic interventions, so features on the website, that encourage people to save. So you can save five bucks a week if that's what works for you, and then you have the chance to win prizes. We also do a tax time quest, so that's happening right now. So, tax season is one of the times when people will get a larger infusion of cash, right? Particularly low income people, who maybe are qualified for tax credits and other benefits. So, what we do is encourage people to save a portion of that refund. So we ask people to start thinking about it before they get the refund, right? That's really clear, cause once the money is in, it's usually already spent. So we start talking to people in December, why don't you pledge to save your refund? You can win prizes just for pledging. And what we've found is that getting people to think about and commit to savings resulted, last year, in 80% of those people actually putting money into savings, and saving on average 16 hundred dollars from their tax refunds. >> Sonia: Wow. That's incredible. I love how you're incentivizing this whole savings thing, because, like, that essentially just makes people want to do it more. >> Leigh: Yeah. >> So, how should people bucket their savings? Should they have an emergency fund, a college fund, a retirement fund, how should they do that? >> So what we find at SaverLife is, or what we promote, is the idea that your money should really align with your values. And what's important to you, and what you want to achieve for yourself and for your family. So we don't tell people what to save for, and we don't tell them what to spend their money on, right? So, the biggest thing that people save for with the program is emergencies. So, really having that financial cushion, so, your car breaks down, or whatever the case may be, you can take care of it without going into debt, right? 'Cause that's the cycle that we want to avoid. But then we also see people really staying on track to save for big goals. And unsurprisingly, those are still the kind of goals that we talk about a lot in this country. So, an education, for yourself or for your children, and home ownership. Those remain, kind of the most popular things that people are focused on. >> So when it comes to prioritizing how you should save, like especially for someone who's just coming off that one paycheck away from the street, kind of space, how would you recommend prioritizing your savings? >> Leigh: So, we focus on building a savings habit. That's kind of the number one thing that we want people to really think about. So, putting money away as consistently as you can. It's really the behavior change that we're looking to see. And that's why we encourage people to make those small, incremental steps. But we also know that life has a lot of ups and downs, right? Particularly for people who are, as you say, living paycheck to paycheck. And so, what we see in our data is that families are often making two deposits in one withdrawal. So they're putting money away, and then they're using that money when they need it to get through emergencies. So that's kind of the first thing that we really look to do is, once you have that savings habit, and we know it's hard, you know, to do that, especially if you're not making a lot of money at this moment. But that's really, whatever you can save to get into that habit of putting it away. >> And do you think people are more at risk of being one paycheck away from being on the street, or one big bill away from being on the street? >> Leigh: Yeah, absolutely, many people are, you know? And especially here in the Bay Area, right? When life is extremely expensive, the cost of housing is out of control, and those other expenses that people have to deal with. And if you layer on top of that, that inconsistency in people's income, not making a regular amount of money, we're putting a lot of people in a very, very perilous situation. >> Sonia: Right. So let's talk about financial empowerment. You were leading the office of financial empowerment in the city and county of San Francisco. So, tell us more about financial empowerment and why it's important for people to have it. So, you know, I started out working for the city over there for about 11 years, before there was a thing called financial empowerment. And we started working on a range of programs. I worked for the San Francisco treasurer, and what we're really looking to do is use the influence of the city, and the municipal government to try to make a more fair and equitable financial system for people in San Francisco. So we started with programs like Bank On San Francisco, which was access to banking for everybody. So the idea that everyone should be able to have a safe and affordable place to keep their money, and to save their money. So that was a program we worked on there. And then we went on to launch the country's first universal children's savings program. So today, every single kindergartner, actually, today, every single elementary school student in San Francisco has a savings account open for them by the city and county, to encourage families to save early and often, for college. So when we think about financial empowerment, and how local government plays a role, we're really looking at a couple of things. So, do you have the ability to have a safe place to keep your money, and deposit your paycheck, pay your bills, in a way that's affordable, that doesn't have high fees, and is transparent, so that's the first thing. Do you have access to financial education and coaching if you need it? So the city now has quite a robust individual financial coaching and counseling program that they run. Are you able to save and invest in your future? So, save for college, save for home ownership, save for those big things, be a small business owner. And then the fourth thing is, are your assets protected? So are we protecting you from predatory practices that can deplete your wealth? >> And why did you decide to go from the city, from a public organization to a more private organization, like SaverLife? >> Leigh: You know, it was a interesting story. So we had worked with SaverLife when it was known as EARN, at the city. So the organization was actually really closely partnered with us, so I knew them and I knew their work. So there was a couple of reasons. I became really intrigued by this idea that being here in Silicon Valley, we really should start putting the types of technology that are so transformative, really putting that to work for everybody, right? And I had been an advisor, on an advisory board to for-profit fintech starter. And I thought, "Oh, if we could take that type of tech, "and use it to help low income people "build wealth in the US, "that could be really transformative." So that was the first reason. The second reason was really thinking about the scope of this problem, and when you work for the local government, you see that trajectory, that, you know, the traffic ticket that turned into a lost drivers license that turned into a lost job, that turned into an eviction, right? Like, you see those types of issues play out, over and over in people's lives. So the idea that half of America doesn't have four or five hundred bucks, and we could actually do something about that, was really impactful to me. And then the third reason was, you know, I loved working for the San Francisco treasurer, who is amazing, but I kind of felt, as a woman, that I wanted to lead an organization in my own right. And that I had challenged myself that, I had a personal goal that if the opportunity came up, to be that leader that I was going to challenge myself to take it. And so when the opportunity came up, I just went for it. >> And what challenges did you face to become the CEO? >> I think, you know, a lot of the challenges first were within myself, you know? Like, there's a lot that goes into being a non-profit CEO, you know? You have, obviously, you're working on some of the biggest problems that are out there, and you're doing it with so few resources, you know? And so, is that kind of, you know that saying about Ginger Rogers doing everything that Fred Astaire did but backwards and in heels, it's kind of like that, right? You're trying to solve really, really, really big problems that are deeply entrenched, like half of America doesn't have $400. There's a lot of reasons for that, right? And then you're trying to do it by cobbling together philanthropic resources to make that happen. So, I think that was a challenge, like would it be a success? And then at the time, this organization was making in the midst of this massive transformation, you know? So going from seeing clients one on one in the office, to launching and building a scalable tech platform. And I don't have a tech background, you know? I can sometimes use my phone, you know? Like, that's, it's not my thing. But I was able to understand the potential. And so that was what really drew me there to challenge myself to be like, okay, well, there's a lot of people around here that have managed to figure this out, maybe I can figure it out, too. >> Sonia: Yeah, absolutely. So when we talk about people being unbanked, can you tell us more about what unbanked means and what it means for today? >> Leigh: Yeah, so when we talk about access to banking, and mainstream financial services, we usually separate that into two buckets, right? So you have unbanked, which means, people who have no formal relationship with a bank or credit union. So, you don't have a checking account, you don't have a savings account, you're going to a check cashing place, you're paying a fee, quite high fee, to turn your paycheck or whatever into cash, you're paying your bills with money orders, you know, that kind of thing. Then there's a larger category of people that are called underbanked. And so, those are people who may have that checking account relationship with a bank or a credit union, but they're still using these types of alternative services. So that could be money orders, it could be high cost predatory pay day lending, auto title lending, like these, kind of, systems that are outside of mainstream finance. And that actually affects quite a lot of people here in the US. About, I think, 7 to 8% of people are completely unbanked, but a much more significant portion are considered underbanked. And I think there are a lot of reasons for that, it's usually split about 50-50 between people who have never had an account before. So those may be people who don't think banks are for them, don't feel welcome in that environment, don't trust banks, you know, so those are some of the reasons. But then the other half of people who are unbanked is because they've had bad or negative experiences with banking, and they've made a decision that banking didn't work for them. It was too costly, often that's the reason, hidden fees, overdraft fees, those types of penalties, and just decided that, you know what, it was better for me to manage my money in a different way. >> And how has SaverLife helped these people feel more secure in their financial investments? >> Leigh: So when we first launched SaverLife, it's gone through so many, so much. So much transformation and change over the years, as we've been, really adopting some of those tech based practices around iteration, and being user driven, and really trying to deliver something that will work for people. So what we heard when we first launched, was, you know, I know that saving is something I need to do for myself and my family, I think pretty much everybody knows and understands that, but it's too hard for me right now, you know? Either I've lost my job, I've been, I've had an illness, or a family member's had an illness, a lot of real reasons why people are unable to do that. And so people would say, "But I really want to get there, "so what can you do to help me?" So, at SaverLife specifically, we work with large numbers of people, we have about a quarter of a million people who've signed up for SaverLife in the last three years, which is really cool. We went from serving ten thousand people in a decade, actually six thousand people in a decade, to 250 thousand people in three years, which is pretty cool. So that shows us that there's a big need and interest for this. So anyone that goes to saverlife.org and signs up is going to get weekly financial coaching content from a certified financial coach who specializes in helping people with lower incomes to build wealth. If you link your account to our platform, you're going to qualify to win prizes for saving your own money. So it's kind of like this no-lose lottery in a way, like, you gain 'cause you're saving, and you have the opportunity to win money, and it's completely free. So, there's a lot of real benefits that we have on the platform that are designed specifically to help people who are struggling financially. >> Well, that's awesome. Leigh, thank you so much for being on theCUBE and thank you for your insight. >> Thanks so much for having me. >> Absolutely. >> I enjoyed speaking with you. >> I'm Sonia Tagare, thank you for watching this CUBE conversation. See you next time. (funky music)
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Leigh Phillips, SaverLife | CUBE Conversation, February 2020
(funky music) >> Hi, and welcome to this CUBE conversation from theCUBE Studios in Paulo Alto, California. I'm your host, Sonia Tagare, and today we're joined by Leigh Phillips, president and CEO of SaverLife. Leigh, welcome to theCUBE. >> Hi, thanks so much for having me. >> Absolutely. So, tell us more about SaverLife and how it works. >> So, SaverLife is a non-profit organization. We work nationally, but we're based here in San Francisco, and our mission is to help working American families to save money, and to invest in themselves and their futures. So, we do that by making it engaging, rewarding, and fun for people to start saving, and leveraging financial technology to achieve scale. >> And you were previously known as EARN, so what spurred this change in branding? >> Well, it was more than a change in branding. It was actually a big shift towards technology. So, EARN, or, now known as SaverLife, has actually been around since 2001. So, we are not new, we're not a starter, we've been helping low to moderate income working families to save money for a long time. But what we've realized in recent years is that the size of the problem is really quite significant. So, about half of American families don't have $400. So they couldn't cover a $400 expense without having to borrow the money. As EARN, we were helping a lot of families here in the Bay Area, but maybe, you know, a thousand families a year at our peak, and when you have half of America that's financially insecure, we knew that the solution that we had wasn't big enough. So, a couple of years ago, the organization decided to make a pivot, and to make a pivot towards technology. I came onboard about four and a half years ago to lead that transition, and we launched SaverLife as a product, and we reached a quarter of a million people in a couple years, and decided that the people know best, and that we would rebrand the whole organization as SaverLife. So that's kind of how that came about. >> That's awesome. >> Yeah. >> So who is SaverLife specifically targeting, and are there any specific challenges with this target group? >> So, SaverLife is specifically targeting working American families, mostly low income families, so as I mentioned, financial insecurity is a really big problem here in the US, and so we hear about that a lot in the news, about income inequality, wealth inequality, but one of the most troubling statistics came out from the Federal Reserve Bank, they found that about 42% of American families couldn't cover a $400 expense without going into debt. And that's an issue that affects lots of people in different ways. So, SaverLife is really targeting low income people who are struggling to save money, and need a little help getting started with that. So, most of our clients are women, they're all across the United States and on average make about 25 thousand dollars a year or less. >> So let's talk about the current savings crisis in America. According to Bankry, 20% of Americans don't have emergency savings, and only 18% of Americans can live off their savings for only six months. So, tell us more about this crisis, and what do you think the underlying issue is? >> Yeah, it's a great question, and there are many issues that play into that, and most of them are systemic, you know. The way that people are making money and the gap between income and expenses. So, what we see is that larger numbers of people don't have basic emergency savings, and what that means is that you can't get through a financial emergency, right? And so that can have a real downward spiral effect on your life. So imagine a scenario where you have to miss a day or two of work because your child is sick, and you don't have sick leave, like a lot of people don't. And so you miss a couple days of income. Or, you get a flat tire, or a parking ticket. Those are the types of things that can really spiral out of control, so then you lose income, then you can't pay your rent, you're at risk of eviction, and all of these other problems. So what we know is that having relatively small amount of money, so even just 250 to $750 in savings is found to reduce those risks of things like eviction, or falling behind on bills or utilities really significantly. So, we're focused on getting people to that point, so that they can get through challenges. So one of the big things that we see in our population, isn't just that wages are low, which remains a really big problem in the US right now, but that income is really inconsistent. So if you're making an hourly wage job, or maybe you work in retail, or you work in a warehouse, or something like that, and you drive for Uber, whatever the case may be, your money that's coming in, you're not getting the same amount of money in your paycheck every two weeks, right? Like many of us do. And in fact, for SaverLife clients, we're seeing these swings of income of around a thousand dollars a month, month over month. So sometimes you earn more and sometimes you earn less. So in that scenario, it's really hard to stay on track towards saving, because you don't know how much money's coming in, and then you're getting hit with all these increasing expenses at the same time. >> Right. And, can you tell us a little bit about how people can save their way to financial independence, is it viable, and how have challenges changed since the disappearance of defined-benefit retirement packages? >> Yeah, so, it is possible, but it's challenging, and, you know, I do think that we need to be aware of those kind of bigger issues, right? And to focus on helping people have more consistency in their income, and reducing some of those large expenses, whether or not in the Bay Area obviously, the cost of housing, medical care, child care, transportation, all of these things that are really holding families back. But, you know, the good news is that people are remarkable. People are resilient, and people are remarkable. And I can share a couple of stories with you about that. So, at SaverLife we encourage people to save with prizes and cash rewards, right? So we make it really easy for people to get started. We also have a really supportive online community, so this is an issue that affects half of us, right? It's not something that people should be ashamed of. This is a really big and endemic issue here in the US. So we don't judge people, you know, it's all about starting small and starting today. So what we do at SaverLife is encourage people to save what they can when they can, and then we use behavioral economics to design programmatic interventions, so features on the website, that encourage people to save. So you can save five bucks a week if that's what works for you, and then you have the chance to win prizes. We also do a tax time quest, so that's happening right now. So, tax season is one of the times when people will get a larger infusion of cash, right? Particularly low income people, who maybe are qualified for tax credits and other benefits. So, what we do is encourage people to save a portion of that refund. So we ask people to start thinking about it before they get the refund, right? That's really clear, cause once the money is in, it's usually already spent. So we start talking to people in December, why don't you pledge to save your refund? You can win prizes just for pledging. And what we've found is that getting people to think about and commit to savings resulted, last year, in 80% of those people actually putting money into savings, and saving on average 16 hundred dollars from their tax refunds. >> Sonia: Wow. That's incredible. I love how you're incentivizing this whole savings thing, because, like, that essentially just makes people want to do it more. >> Leigh: Yeah. >> So, how should people bucket their savings? Should they have an emergency fund, a college fund, a retirement fund, how should they do that? >> So what we find at SaverLife is, or what we promote, is the idea that your money should really align with your values. And what's important to you, and what you want to achieve for yourself and for your family. So we don't tell people what to save for, and we don't tell them what to spend their money on, right? So, the biggest thing that people save for with the program is emergencies. So, really having that financial cushion, so, your car breaks down, or whatever the case may be, you can take care of it without going into debt, right? 'Cause that's the cycle that we want to avoid. But then we also see people really staying on track to save for big goals. And unsurprisingly, those are still the kind of goals that we talk about a lot in this country. So, an education, for yourself or for your children, and home ownership. Those remain, kind of the most popular things that people are focused on. >> So when it comes to prioritizing how you should save, like especially for someone who's just coming off that one paycheck away from the street, kind of space, how would you recommend prioritizing your savings? >> Leigh: So, we focus on building a savings habit. That's kind of the number one thing that we want people to really think about. So, putting money away as consistently as you can. It's really the behavior change that we're looking to see. And that's why we encourage people to make those small, incremental steps. But we also know that life has a lot of ups and downs, right? Particularly for people who are, as you say, living paycheck to paycheck. And so, what we see in our data is that families are often making two deposits in one withdrawal. So they're putting money away, and then they're using that money when they need it to get through emergencies. So that's kind of the first thing that we really look to do is, once you have that savings habit, and we know it's hard, you know, to do that, especially if you're not making a lot of money at this moment. But that's really, whatever you can save to get into that habit of putting it away. >> And do you think people are more at risk of being one paycheck away from being on the street, or one big bill away from being on the street? >> Leigh: Yeah, absolutely, many people are, you know? And especially here in the Bay Area, right? When life is extremely expensive, the cost of housing is out of control, and those other expenses that people have to deal with. And if you layer on top of that, that inconsistency in people's income, not making a regular amount of money, we're putting a lot of people in a very, very perilous situation. >> Sonia: Right. So let's talk about financial empowerment. You were leading the office of financial empowerment in the city and county of San Francisco. So, tell us more about financial empowerment and why it's important for people to have it. So, you know, I started out working for the city over there for about 11 years, before there was a thing called financial empowerment. And we started working on a range of programs. I worked for the San Francisco treasurer, and what we're really looking to do is use the influence of the city, and the municipal government to try to make a more fair and equitable financial system for people in San Francisco. So we started with programs like Bank On San Francisco, which was access to banking for everybody. So the idea that everyone should be able to have a safe and affordable place to keep their money, and to save their money. So that was a program we worked on there. And then we went on to launch the country's first universal children's savings program. So today, every single kindergartner, actually, today, every single elementary school student in San Francisco has a savings account open for them by the city and county, to encourage families to save early and often, for college. So when we think about financial empowerment, and how local government plays a role, we're really looking at a couple of things. So, do you have the ability to have a safe place to keep your money, and deposit your paycheck, pay your bills, in a way that's affordable, that doesn't have high fees, and is transparent, so that's the first thing. Do you have access to financial education and coaching if you need it? So the city now has quite a robust individual financial coaching and counseling program that they run. Are you able to save and invest in your future? So, save for college, save for home ownership, save for those big things, be a small business owner. And then the fourth thing is, are your assets protected? So are we protecting you from predatory practices that can deplete your wealth? >> And why did you decide to go from the city, from a public organization to a more private organization, like SaverLife? >> Leigh: You know, it was a interesting story. So we had worked with SaverLife when it was known as EARN, at the city. So the organization was actually really closely partnered with us, so I knew them and I knew their work. So there was a couple of reasons. I became really intrigued by this idea that being here in Silicon Valley, we really should start putting the types of technology that are so transformative, really putting that to work for everybody, right? And I had been an advisor, on an advisory board to for-profit fintech starter. And I thought, "Oh, if we could take that type of tech, "and use it to help low income people "build wealth in the US, "that could be really transformative." So that was the first reason. The second reason was really thinking about the scope of this problem, and when you work for the local government, you see that trajectory, that, you know, the traffic ticket that turned into a lost drivers license that turned into a lost job, that turned into an eviction, right? Like, you see those types of issues play out, over and over in people's lives. So the idea that half of America doesn't have four or five hundred bucks, and we could actually do something about that, was really impactful to me. And then the third reason was, you know, I loved working for the San Francisco treasurer, who is amazing, but I kind of felt, as a woman, that I wanted to lead an organization in my own right. And that I had challenged myself that, I had a personal goal that if the opportunity came up, to be that leader that I was going to challenge myself to take it. And so when the opportunity came up, I just went for it. >> And what challenges did you face to become the CEO? >> I think, you know, a lot of the challenges first were within myself, you know? Like, there's a lot that goes into being a non-profit CEO, you know? You have, obviously, you're working on some of the biggest problems that are out there, and you're doing it with so few resources, you know? And so, is that kind of, you know that saying about Ginger Rogers doing everything that Fred Astaire did but backwards and in heels, it's kind of like that, right? You're trying to solve really, really, really big problems that are deeply entrenched, like half of America doesn't have $400. There's a lot of reasons for that, right? And then you're trying to do it by cobbling together philanthropic resources to make that happen. So, I think that was a challenge, like would it be a success? And then at the time, this organization was making in the midst of this massive transformation, you know? So going from seeing clients one on one in the office, to launching and building a scalable tech platform. And I don't have a tech background, you know? I can sometimes use my phone, you know? Like, that's, it's not my thing. But I was able to understand the potential. And so that was what really drew me there to challenge myself to be like, okay, well, there's a lot of people around here that have managed to figure this out, maybe I can figure it out, too. >> Sonia: Yeah, absolutely. So when we talk about people being unbanked, can you tell us more about what unbanked means and what it means for today? >> Leigh: Yeah, so when we talk about access to banking, and mainstream financial services, we usually separate that into two buckets, right? So you have unbanked, which means, people who have no formal relationship with a bank or credit union. So, you don't have a checking account, you don't have a savings account, you're going to a check cashing place, you're paying a fee, quite high fee, to turn your paycheck or whatever into cash, you're paying your bills with money orders, you know, that kind of thing. Then there's a larger category of people that are called underbanked. And so, those are people who may have that checking account relationship with a bank or a credit union, but they're still using these types of alternative services. So that could be money orders, it could be high cost predatory pay day lending, auto title lending, like these, kind of, systems that are outside of mainstream finance. And that actually affects quite a lot of people here in the US. About, I think, 7 to 8% of people are completely unbanked, but a much more significant portion are considered underbanked. And I think there are a lot of reasons for that, it's usually split about 50-50 between people who have never had an account before. So those may be people who don't think banks are for them, don't feel welcome in that environment, don't trust banks, you know, so those are some of the reasons. But then the other half of people who are unbanked is because they've had bad or negative experiences with banking, and they've made a decision that banking didn't work for them. It was too costly, often that's the reason, hidden fees, overdraft fees, those types of penalties, and just decided that, you know what, it was better for me to manage my money in a different way. >> And how has SaverLife helped these people feel more secure in their financial investments? >> Leigh: So when we first launched SaverLife, it's gone through so many, so much. So much transformation and change over the years, as we've been, really adopting some of those tech based practices around iteration, and being user driven, and really trying to deliver something that will work for people. So what we heard when we first launched, was, you know, I know that saving is something I need to do for myself and my family, I think pretty much everybody knows and understands that, but it's too hard for me right now, you know? Either I've lost my job, I've been, I've had an illness, or a family member's had an illness, a lot of real reasons why people are unable to do that. And so people would say, "But I really want to get there, "so what can you do to help me?" So, at SaverLife specifically, we work with large numbers of people, we have about a quarter of a million people who've signed up for SaverLife in the last three years, which is really cool. We went from serving ten thousand people in a decade, actually six thousand people in a decade, to 250 thousand people in three years, which is pretty cool. So that shows us that there's a big need and interest for this. So anyone that goes to saverlife.org and signs up is going to get weekly financial coaching content from a certified financial coach who specializes in helping people with lower incomes to build wealth. If you link your account to our platform, you're going to qualify to win prizes for saving your own money. So it's kind of like this no-lose lottery in a way, like, you gain 'cause you're saving, and you have the opportunity to win money, and it's completely free. So, there's a lot of real benefits that we have on the platform that are designed specifically to help people who are struggling financially. >> Well, that's awesome. Leigh, thank you so much for being on theCUBE and thank you for your insight. >> Thanks so much for having me. >> Absolutely. >> I enjoyed speaking with you. >> I'm Sonia Tagare, thank you for watching this CUBE conversation. See you next time. (funky music)
SUMMARY :
and today we're joined by Leigh Phillips, So, tell us more about SaverLife and how it works. and our mission is to help working American families here in the Bay Area, but maybe, you know, here in the US, and so we hear about that and what do you think the underlying issue is? So in that scenario, it's really hard to stay on track And, can you tell us a little bit about how people So we don't judge people, you know, it's all about that essentially just makes people want to do it more. So we don't tell people what to save for, and we know it's hard, you know, to do that, And if you layer on top of that, that inconsistency So are we protecting you from predatory practices the scope of this problem, and when you And so, is that kind of, you know that saying about unbanked, can you tell us more about So you have unbanked, which means, people who and you have the opportunity to win money, and thank you for your insight. I'm Sonia Tagare, thank you for watching
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Laurie MacCarthy, Qualys | Qualys Security Conference 2019
>>from Las Vegas. It's the cues covering quality security Conference 2019. Bike. Wallace. >>Hey, welcome back it. Ready? Geoffrey here with the Q worth the Bellagio Hotel in Las Vegas for the quality security conference. This thing's been going on for 19 years. I had no idea. It's our first time here, but it's pretty interesting out. Felipe and the team have evolved this security company over a lot of huge technological changes and security changes, and they're still clipping along, doing a lot of cool things in cloud and open source. We're excited of our next guest. She's Laurie McCarthy, the EVP of worldwide field >>operations. Lori, great to see you. >>Thanks. Glad to be here. >>Absolutely. So first off, congratulations in doing some homework for this. I was going through the earnings call. The last turning call, which A was a nice earnings call. You're making money buying back stock. Also, you were promoted or the announcement of your promotion on that call and really some nice, complimentary words from Philippe and the team about the work that you've done actually >>very grateful. Thank you. And >>one of the things we >>talked about, which is unique in your background as you came from a customer. Not It's always a day ago. These shows we have people that I came from customers that went to the vendor, and then we have people that rest of Endor and they went over to the customers. There's a lot of that kind of movement, but he really complimented your execution at CVS as a big reason why you got the promotion that you did. So again. Congrats. But let's talk about, you know, kind of the CVS experience from when you were running it. Not when you're on the quality side. Yeah, that the threats. And CBS is in class nationwide, all kinds of stuff. >>Yeah, well, I mean, you know, just like any other company that's in that health care vertical, you've got so many different things to think about. Additionally, we were also in the retail vertical, so we had a lot of compliance. E's to worry about p c p c i p. I s O. A lot of the programs had been very much, uh, checkbox driven prior to the team that moved in there, including myself, and kind of changed that. So I helped to rebuild the vulnerability program there. And we started to do it in such a way that it was for the sake of security, not just checking a box. And we were really innovated how they do things. A lot of my friends are still there, and they have their own stock now, and we kind of brought everything in house. So a lot of that was outsourced. >>So what was the catalyst to make the change To move from beyond simple compliance and check in the box, Actually making a strategic part of the execution? >>Yeah, at the time and a new sea so had been put into place. And it was someone with that vision, and I think that's what really drove it. I came in just after that and was brought in on the premise that this is what we're going to change and move toward. So I was part of that process from that >>point, right? It clearly, qualities was part of the solution. So what? What did you use calls for their and how is the solution changed? You know, kind of >>so back then when >>you want to call it, >>we're talking. In 9 4010 2011 Right around there. If you opened up the quality platform, you had three things to choose from. Versus today, when you log in, you've got 18 or more, depending. And S O CVS used a little bit of all of that with the mainstay having been the vulnerability management. So I ran to full vulnerability management programs there because we had to keep our pharmacy benefit company and our retail companies separate. So I sort of did double duty, >>Right? So what you doing now on field operations? >>So is the E V p of worldwide for Wallace. I'm running all of the technical account managers for our company way have a unique sales model here, so it's a little different. So everyone in the field to service is our clients rolls up to me, and then that also includes some additional teams, like our federal team, our strategic alliances team and also our subject matter experts >>today. So you said a couple >>times you guys have your account management structure is different than maybe traditional. Kind of >>walk through. Yeah, absolutely. So versus a traditional sales model. We have a salesperson. You have client service person. You have a technical, you know, social architect kind of person. We service our clients all with one person. We have a technical account manager. We break them up into two flavors. We have a presales who are very technical folks that go out and help us get our business. And then those accounts get handed over to our post sales, who are basically the farmers in our business, maintaining and growing our existing clients. What that allows for, which is really special, is we can go in and really build a relationship built on trust and understanding and strategy, because we bring people into our company like myself who have done this, who have sat on that side of the table. So you know, someone comes in and says What? You know, how would you like to buy one of my gizmos? It's a lot different conversation when it's like, Look at what I do with this gizmo like it's amazing. So it's It's kind of a similar feeling that you guys >>have your kind of platform with application strategy enables you to kind of do a land and expand, and in fact you even a something that people can try for free. >>Yeah, absolutely. So we review our model as, like, try and buy. So for both our non clients are freemium service is that we offer our, you know, out of this world for people being able to just log in without even being a client and start to evaluate their environment. And then when they see the value that we bring, it's very easy to translate that into a buy and then likewise, for our clients who sign up for a service or two enabling additional trials and having them work within our new service is as they're being rolled out, is very, very simple, the way our platform is built. So it's just it's a really effortless, very natural progression of business that we that we built. And it's one of the reasons that I work here because as a client, I really enjoyed my relationship with this company because it never felt like I was being sold anything. It always felt like I was being handed solutions to my challenges, and that's what we tried to do. And that's how I lead everyone today is Let's get out, Let's listen, let's strategize and let's see where we fit in with folks, right strategies for, you know, the coming >>future. So must be a team >>approach, though, right? Because one person you know to say, trying to manage the CVS account, that would be, >>Oh, so we have a little bit of a break out in our post side. We have what a new role that I helped get implemented here at the company, which is a major account solution architect they handle are bigger, more complex accounts. So as our platform has matured, so have our clients are bigger. Clients are using more of our platform. They're using it in a more expert way. So we had to answer that with the right kind of people who could speak to that expert level of usage and be able to finance that. So that's a little bit part of it. And on our bigger clients, we do have more of a team approach. We have a product management, a project management organization. The S M E team are subject matter. Experts roll up under me. They're experts in each of our solutions. So it's a sizeable team and they are liaise between product management, engineering our fields and our clients. And that's another support mechanism. And then our support at Wallace is also something that augments our technical account managers jobs on a daily basis. >>So new opportunity with a sure that was recently announced a bundle. Yeah, you're bundled in kind of under the covers, not not really under the covers. So a little bit about how that's gonna work from kind of an account management and and from your kind of point of view, >>So it's It's actually not gonna change much of anything on the way that we are. Mom are our model is a hybrid, right? So we have direct sales that we have indirect sales, even honor in direct sales through partners through relationships like we've just built with azure MSs peas and reach whatever. We still treat every end customer and every partner like a direct customer. So we work very hard to educate her partners, to work with them, to make sure they're successful with our clients. And we're also treating our clients who are through that avenue the same way. So it's it's just gonna blend right in with what we >>d'oh Yeah, that's great, but hopefully it's a sales channel and they get more than they just bought it under the covers and start implementing. >>It's easy for them to jump in with us. And then from there we can build those relationships with perhaps, you know, prospects and folks that aren't our clients now and be able to show them more things that we do. Besides just, you know, the one thing that they might be signing up for at that time, >>right? Right. Okay, great. I want to shift gears a little bit. >>We had windy by front earlier from from Nutanix. When he's a fantastic lady, yes, and she is super super involved in in girls Who Code and women in Tech and trying to drive that kind of forward along a number of parameters everything from the board to getting people jobs, training little girls to staying at staying in the industry. I know that's a big, passionate area of yours. I wonder if you could share some of the activities you guys were doing around women. I could think more specifically, and security is a subset of all tech, but share the some of the activities you have going on. >>So personally, I try to be very involved locally. Four Children. One of them is a daughter. She's too little, quite yet for getting into tact. I have two older sons and s so I try to be really involved in middle school high school. Hey, put me in, Coach, I'll come in and talk to the kids. Generating interest in getting into this field at a young age is what we need to do. They're still aren't enough gals and, honestly, guys heading into our business in college. So I I really take it upon myself as a security professional to try to promote that specifically around women. I'm really pleased that our company supports an organization which I've been a part of for a while, and that's the Executive Woman's Forum, and we sponsor their conference every year, and we sponsor events with them. I personally am part of their mentor program, so that allows me a channel. Thio have ah, unassigned person to work with, and I really enjoy that, and our company itself is just very excellent at promoting and enabling women within our organization. And it's another reason that I really loved working here for the past eight years, >>right? Well, from the top. Because the board, I think, is either for more than half. Yemen, which is certainly half >>women CEO, is very supportive. Our presidents, two men way have a great environment. Thio grow women professionally here in my company, >>right? That's great. So, ah, year from now, when we come back, what are we gonna be talking about? What's kind of on a road map? For the next year, >>we're going to be talking about our data leak efforts, or Sim. We're gonna be talking about our improved Edie, our capabilities that are really gonna put us in the position to be a major player in that market. Um, and who knows? We have such a quick turnaround of innovation here and what we do by the way we do our business. So starting with the technical account manager's boots on the ground with our clients, when we're there listening to all of their challenges, we're also taking that back, and that drives our innovation that the company so we hear what they need, and that's what we provide. So as things changed, we're going to continue to do that digital transformation, of course, is is making that something that we have to be even quicker about. And I think we're doing a good job >>keeping up well. 19 years and counting, making money. Find back, buying back shares to help everyone else's stock delusion. So not that, but nothing but good success. It's all right. Well, Laurie, thanks for taking a few minutes of your day. And again, congratulations on your promotion as well as a terrific event. >>Thank you very much. >>All right. She's Laurie. I'm Jeff. You're watching the Cube with the quality security conference at the Bellagio and lovely >>Las Vegas. Thanks for watching. We'll see you next time.
SUMMARY :
It's the cues covering quality security Felipe and the team have evolved this security company over a lot of Lori, great to see you. Glad to be here. So first off, congratulations in doing some homework for this. And There's a lot of that kind of movement, but he really complimented your execution So a lot of that was outsourced. So I was part of that process from that So what? So I ran to full vulnerability management programs there because So everyone in the field to service is our clients rolls up to me, So you said a couple times you guys have your account management structure is different than maybe So it's It's kind of a similar feeling that and expand, and in fact you even a something that people can try for free. So for both our non clients are freemium service is that we offer our, So must be a team So we had to answer that with the right kind of people who could speak to that So a little bit about how that's gonna work from kind of an account management and and from your So it's It's actually not gonna change much of anything on the way that we d'oh Yeah, that's great, but hopefully it's a sales channel and they get more than they just bought it under the covers and And then from there we can build those relationships with perhaps, I want to shift gears a little bit. but share the some of the activities you have going on. and that's the Executive Woman's Forum, and we sponsor their conference every year, Well, from the top. have a great environment. What's kind of on a road map? So starting with the technical account manager's So not that, You're watching the Cube with the quality security conference at the Bellagio We'll see you next time.
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Paul Shapiro, International Centre for Missing and Exploited Children, AWS Imagine Nonprofit 2019
>> from Seattle. Washington. It's the Q covering AWS. Imagine nonprofit brought to you by Amazon Web service is >> Hey, welcome back already, Jeff. Rick here with the Cube were in Seattle, Washington, right on the waterfront. It's a beautiful day. Unfortunately, a lot of the topics we're talking about today are not so beautiful. We're here at the AWS. Imagine not for profit. Imagine of it. Great event. Little under 1000 people here talking about solving very, very, very big important problems in AWS is helping him. We're excited to have our next guest on. He is Paul Shapiro, President and CEO of the International Center for Missing and Exploited Children. Paul, great to see you. >> Hey, Jeff. Thanks for having me. >> I mean, the title of your organization says that this is not a not a happy problem. I wonder if you can speak a little bit too, You know, kind of the scale of this, this issue and, you know, I know that's part of the reason why you got involved. >> Yeah. You know, it's interesting. Someone once said to me, How do you do this for a living every single day and this person put it into perspective, I think in a profound way. It's a woman who works on our team in the education space. She works with teachers all over the world to help them in the prevention and response of sexually abused and exploited children. Right? And she said, to be in this job to do this every day you give up a little bit of your own innocence to preserve the innocence of others. And when she said that to me, it really hit home. And while it can be challenging every single day, you know, we we realized that the work that we do is very, very important. And, you know, someone has to be there for these children that are very much alone. And that's what drives us every single day. >> Very much God's work, and it's a it's great great for you to do it. So give us a little bit of background on the actual organization. What do you do every day? What kind of the mission and how are you >> executing around the world? >> Well, the mission, as as we like to say, is summarized up in just a few words, and that is no child stands alone And when you think about the children that are out there and the children that we typically focus on our first missing children and why do we focus on missing children? Because when a child goes missing, they become extremely vulnerable, and the urgency to find them quickly is extraordinarily important, the kind of things that can happen to them when they're alone. And for those of us who have children, there's a sense of panic when they're out of our sight for even a moment. Will. You can imagine what happens when a child actually goes missing for a period of time. It's so very important to find them quickly within the first few hours. If not, they're vulnerable, and they're vulnerable to things like trafficking to things like sexual abuse, things that that oftentimes lead toe very negative outcomes so way need to get on it quickly and to build. Um, this would be hard enough if we were just doing in the United States, but our organization was really built out of a necessary out of the necessity to build a global solution for this. So we've activated emergency response in over 30 countries, things like the you've heard of Amber Alerts in the United States? Well, we've helped activate those in over 30 countries. We've helped with building a technology platform that takes images of children and allows us to geo target those images in countries all over the world with just the push of the button sending out millions of images through redundant advertising space through our technology partners that allows for that to happen and a lot more. So when you think about us about the scale of the problem, I mean, how how big do you think the missing >> children probably want? I don't even want to guess, right? I mean, it's, it's, uh, knows all kind of in everyone's face back in the in the milk carton >> days right, which we don't really get seats so much on the milk cartons in the back of trucks. But it's it's >> hundreds and hundreds and hundreds of thousands. But to your point, if it's the one, if it's that that one is is every one is as important as the other hundreds and hundreds of thousands. >> I guess what we do is a modern day milk carton, right? It's It's a way of activating um, the communities through a alert system that is constantly searching for a child on there's there's lots of different ways that we do that, but just getting back to the point of the size of the problem. I mean, there's there's well over 400,000 children missing in the United States. It's enough. If I think 424,000 I believe, is the number in the U. S. Alone. That's enough. That's what Is that the population of Miami? Too many, right? There's, um, 80,000 children missing in the UK That's that's enough children that are missing to Philip Wembley Stadium, Australia. 24,000 children are missing, right? >> So clearly, most of those kids didn't get picked up within hours of becoming missing, as you said, which is such an important piece. So you know what's kind of the ongoing, um, you know, kind of process to keep to keep those keep those faces alive and to use kind of >> modern methods to find them. Clearly, the milk carton was something that that was available a long >> time ago was kind of mass distribution kind of creative at the time. But I have a lot more tools at your disposal today. >> Yeah, you know what? One? One thing that is so important is just making sure a a country is ready and that that is an easy work. That means finding partners that are out there that want to make a difference in this area. Law enforcement is a huge piece of this. Other NGOs are a huge piece of this. And, of course, technology, with the help of organizations like Amazon really enable us to be able to do that on. And that's where things like facial recognition software come in. And, you know, we're big proponents of the partnership and advocacy that we have with a W S that allows us tow Dr that intelligence through our platform and will make it more possible to find more children. >> Right. So you say you're relatively new to the organization. Was there a specific charge in your mind in terms of, you know, kind of fresh blood, fresh energy, fresh point of view that you saw on this opportunity or they saw in you that was kind of York and a new strategic directive that maybe a little bit different than what was happening before, only >> as your new Yeah. Meanwhile, while this is all this has always been so important to me, you know, finding a way to give back and make the world a better place. I mean, that is something that has driven me my entire career. And, you know, ironically, 17 years ago, I worked for a company that really took on missing children as the purpose of their organization. So that's when I got my first exposure to this. If things have come back rather full circle in this new pursuit, by the way, missing children isn't isn't all that we D'oh. But my, uh, my day job over the last 15 years was really ah was organizational transformation. It was it was helping organ organization standardize and scale, um, so that they could be more productive. They can leverage technology so that they can engage a workforce thio drive the right behaviors, Did a lot of organizational training trained tens of thousands of individuals over the last 15 or so years. And when I had an opportunity to come to this organization, you know, I really saw an extraordinary team of people that were very effective at training countries. This organization is a very sensitive organization. What I mean by that is they're very sensitive understanding where country is in its readiness for child protection. And we go in the countries with that sensibility and make sure that the programs that we build first, that there is policy and legislation in place so that the country even recognizes that there's a problem. And by the way we've driven. We've driven policy and legislation where we've had significant influence in over 150 countries over the last 20 years, which is extraordinary work. That's very important foundational e to us being able to understand where countries that trying to go in and provide a cookie cutter solution doesn't work when you're talking about international work, the sensitivities of ah, of a country's culture and understanding of how law enforcement how the education system, how the political system hell healthcare views this problem is ready for this problem is really what we focus on. So that's really where we've built our core competencies are in those very areas and what along with my team and I, we're looking to do right now is to take these silos that we've been focusing on for nearly 20 years where we've been where we've trained, you know, tens of thousands of law enforcement professionals, educators and health care nationals. And we're taking that to the next level. We're building it into a global training academy that is going to take a multidisciplinary look at this that brings these teams together. And instead of us just going in with instructor led training, which is what so many organizations do, we're gonna be taking a look at a blended learning curriculum, using technology to take it online where we can, and to make sure that the time that we spend in these countries is really focused on helping these countries get to a level of certification where they are international center certified. And there will be accountability and expectations built in two. How they get there and how they stay there. And there will be a commitment, ongoing support from us to be able to, you know, keep them moving in the right direction. That's really the vision for the organization. >> Yeah, a CZ you're talking, you know, it's going through my mind is is is the surveillance >> society that we live in right We've got cameras everywhere as you talk to. You know, we're talking about the milk carton, So I'm thinking about pictures of these of these kids rights. We've got surveillance everywhere. We've got all types of laws around how that surveillance is used. We've got facial recognition software all over the place now, which is developing. And I just, you know, are >> these are these tools that you currently use that you envision using? I mean, I would would you know, there's always the privacy security, >> you know, kind of trade off and complexity. That said, I would imagine tools like surveillance at airports and tools like facial recognition and tools like a I and machine learning to do projected aging of individuals must be tremendous new assets for you guys to leverage in your mission. >> Yeah, they've been around for a while, but it's getting better and better, and I know the downward pressure that effects organizations like a W s relative to facial recognition. There's so many privacy laws that cause this this'll challenge for organizations like AWS and also organizations like ours. I guess where where I'm at with it all is we need, there's there's not a question about privacy in my mind, when it comes to protecting children, it's the one great unifier that we have. So we need to find ways to work within the confines of privacy, and that varies wildly country to country, right. But these are the tools that we need that are gonna be just absolutely vital to finding more children to protecting more children, whether these air children that are being trafficked in an airport or child that goes missing after two hours. And we need toe alert a community and feed their images into our system that constantly searches for them. Whether it's in the first hour or just spoke to a parent who had been on his 45th day of his missing son, his son had gone missing. And and and you see the desperation that a parent has when they have nowhere else to turn. It's our job to find places for them to turn toe, employ technology that never stops. I mean, that's you talked about how dark of, ah of a of a job this could be, Yeah, but you know, the hope that we provide really is is the light that keeps us going >> right. So, Paul, final question. What do people not >> know about the space that they should? If you if you could just say, you know, this is kind of the reality, but, >> you know, this is this is where I'm very careful, Thio to make sure that people are ready to hear the realities of the space. I spoke to a judge in the Philippines recently who talked about just the, you know, the kind of cases that she's trying when it comes to sexual abuse, when it comes to children who are trafficked. And I said, What? What exactly are we talking about here? And by the way, this is a conversation I'll have with a lot of people, especially in law enforcement, you know? What kind of age are we talking about? You'd be shocked to find out how high the percentage of children are under 10 years old. You'd be shocked to find out the percentage of children that are under one. And you say to yourself, How can this be? Well, it is. It is the reality of what we're dealing with. So, you know, you talk about something that drives you when you find out children that are that vulnerable in the scale that truly exists, the numbers that exist. You wake up every day and you run to this job and you try to find partners out there in every sector that you can. I don't care if it's in sports. I don't care if it's an entertainment. I don't care if it's in technology. I don't care if it's in religion or government. You find partners that have the ability to make you stronger. And that's a big part of our remit. And it's it's why I feel so fortunate to be here. Um, at this a w s conference, learning more about how we can employ even more technology to make us strong, >> right? Well, certainly with a w s behind you got all the technology >> could ever, ever hope Thio deploy. So hopefully that will help >> you be more effective in your work and >> your team's work. And thank you for taking a few minutes. >> You got Jeff. Thank you so much. >> All right, thanks. He's Paul on Jeff. You're watching the cube. Where? Need of us. Imagined nonprofit in Seattle. Thanks >> for watching. See you next time
SUMMARY :
Imagine nonprofit brought to you by Amazon Web service Unfortunately, a lot of the topics we're talking about today are not so beautiful. you know, I know that's part of the reason why you got involved. Someone once said to me, How do you do this for a living What kind of the mission and how are you I mean, how how big do you think the missing But it's it's is every one is as important as the other hundreds and hundreds of thousands. missing in the UK That's that's enough children that are missing to Philip Wembley um, you know, kind of process to keep to keep those keep those faces alive and Clearly, the milk carton was something that But I have a lot more tools at And, you know, we're big proponents of the partnership and advocacy that that you saw on this opportunity or they saw in you that was kind of York to me, you know, finding a way to give back and make the world a better place. And I just, you know, are you know, kind of trade off and complexity. And and and you see the desperation that a parent has when What do people not You find partners that have the ability to make you stronger. So hopefully that will help And thank you for taking a few minutes. Need of us. See you next time
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Carlos Guevara, Claro Columbia & Carlo Appugliese, IBM | IBM Think 2019
>> Live from San Francisco. It's the cube covering IBM thing twenty nineteen brought to you by IBM. >> Welcome back to the live coverage here in Mosconi North in San Francisco for IBM. Think this. The cubes coverage. I'm Jeffrey David. Launching a too great guest here. Carlos. Gavel, gavel. A chief date. Officer Clara, Columbia and Carlos. See? Good. Engage your manager. IBM data Science elite team a customer of IBM country around data science. Welcome to the Cube. Thanks for joining us. Thanks for having us. So we'll hear the street, the street to shut down a i N E. Where's the big theme? Multi cloud. But it's all about the data everywhere. People trying to put end to end solutions together to solve real business problems. Date is at the heart of all this moving date around from cloud to cloud using. Aye, aye. And technology get insights out of that. So take a minute to explain your situation, but you got to try to do. >> Okay. Okay, Perfect. Right now, we're working out a lot about the business thing because we need to use the machine learning models or all the artificial intelligence toe. Take best decisions for the company. Way. We're working with Carlo in a charming mother in order to know how how come with a boy the customers left the company Because for us it's very important to maintain our our customer toe. Now, how they're how are the cables is from them. There are two facility intelligences is next selling way to do it that way. Have a lot of challenge about that because, you know, we have a lot of data, different systems, that they're running the data way need to put all the information together to run them to run the mother's. The team that Carlo is leaving right now is helping to us a lot because we WeII know how to handle that. We know howto clean the data when you have to do the right governess for the data on the IBM iniquity is very compromised with us in there in order to do that safely. That is one of the union that is very close to us right now. She was working a lot with my team in order to run the models. You saying she was doing a lot of four. I mean, over fight on right now we are trained to do it in over the system, running this park on DH that is they? They Good way that we are. We are thinking that is going to get the gold for us way Need to maintain our customers. >> So years the largest telecommunications piece Claro in Mexico for boys and home services. Is that segments you guys are targeting? Yeah, Yeah. Scope. Size of how big is that? >> Clarisa? Largest company in Colombia For telecommunication. We have maybe fifty million customers in Colombia. More than fifty percent of the market marketer also way have many maybe two point five millions off forms in Colombia. That is more than fifty percent of the customers for from services on. Do you know that it's a big challenge for us because the competitors are all the time. Tryinto take our customers on DH the charm or they'll have toe. How's the boy that and how to I hope to do their artificial intelligence to do it much learning. It's a very good way to do that. >> So classic problem and telecommunications is Charon, right? So it's a date. A problem? Yeah, but So how did it all come about? So these guys came to you? >> Yeah. They help The game does. We got together. We talked about the problem and in turn was at the top right. These guys have a ton of data, so what we did is the team got together. We have really the way to data sensibly team works is we really helped clients in three areas. It's all about the right skills, the right people, the right tools and then the right process. So we put together a team. We put together some agile approaches on what we're going to do on DH. Then we'd get started by spinning up in environment. We took some data and we took there. And there's a lot of data is terabytes of data. We took their user data way, took their use users usage data, which is like how many text, cellphone and then bill on day that we pulled all that together and environment. Then the data scientists alongside what Carlos is team really worked on the problem, and they addressed it with, you know, machine learning, obviously target. In turn, they tried a variety of models, But actually, boost ended up being one of the better approaches on DH. They came up with a pretty good accuracy about nineties ninety two. Percent precision on the model. Predicting unpredictable turn. Yeah. >> So what did you do with that? That >> that that is a very good question because the company is preparing to handle that. I have a funny history. I said today to the business people. Okay, these customers are going to leave the company. Andi, I forget about that on DH. Two months later, I was asking Okay, what happened? They say, Okay, your model is very good. All the customers goes, >> Oh, my God, What >> this company with that they weren't working with a with information. That is the reason that we're thinking that the good ways to fame for on the right toe the left because twist them which is therefore, pulls the purposes toe Montana where our customers And in that case, we lose fifty thousand customers because we didn't do nothing Where we are close in the circle, we are taking care about that prescriptive boys could have tto do it on. OK, maybe that is her name. Voice problem. We need to correct them to fix the problem in orderto avoid that. But the fetus first parties toe predict toe. Get any score for the charm on Tau handled that with people obviously working. Also at the root cause analysis because way need to charm, way, need to fix from their road, >> Carla. So walk us through the scope of, like, just the project, because this is a concern we see in the industry a lot of data. How do I attack it? What's the scoop? You just come in and just into a data lake. How do you get to the value? These insights quickly because, honestly, they're starving for insights would take us through that quick process. >> Well, you know, every every problems with different. We helped hundreds of clients in different ways. But this pig a problem. It was a big data problem because we knew we had a lot of data. They had a new environment, but some of the data wasn't there. So what we did was way spun up a separate environment. We pulled some of the big data in there. We also pulled some of the other data together on DH. We started to do analysis on that kind of separately in the cloud, which is a little different, but we're working now to push that down into their Duke Data Lake, because not all the data is there, but some of the data is there, and we want to use some of that >> computer that almost to audit. Almost figure out what you want, what you want to pull in first, absolutely tie into the business on the business side. What would you guys like waiting for the answers? Or was that some of the on your side of process? How did it go down? >> I'm thinking about our business way. We're talking a little bit about about that about their detective tow hundred that I see before data within. That is a very good solution for that because we need infested toe, have us in orderto get the answers because finally we have a question we have question quite by. The customers are leaving us. Andi. What is data on the data handed in the good in a good way with governor? Dance with data cleaning with the rhyme orders toe. Do that on DH Right now, our concern is Business Section a business offer Because because the solution for the companies that way always, the new problems are coming from the data >> started ten years ago, you probably didn't have a new cluster to solve this problem. Data was maybe maybe isn't a data warehouse that maybe it wasn't And you probably weren't chief data officer back then. You know that roll kind of didn't exist, so a lot has changed in the last ten years. My question is, do you first of all be adjusting your comment on that? But do you see a point in which you could now take remedial action or maybe even automate some of that remedial action using machine intelligence and that data cloud or however else you do it to actually take action on behalf of the brand before humans who are without even human involvement foresee a day? >> Yeah. So just a comment on your thought about the times I've been doing technology for twenty something years, and data science is something has been around, but it's kind of evolved in software development. My thought is, uh, you know, we have these rolls of data scientists, but a lot of the feature engineering Data prep does require traditional people that were devious. And now Dave engineers and variety of skills come together, and that's what we try to do in every project. Just add that comment. A ce faras predicted ahead of time. Like, I think you're trying to say what data? Help me understand >> you. You know, you've got a ninety three percent accuracy. Okay, So I presume you take that, You give it to the business businesses, Okay? Let's maybe, you know, reach out to them, maybe do a little incentive or you know what kind of action in the machines take action on behalf of your brand? Do you foresee a day >> so that my thought is for Clara, Columbia and Carlos? But but obviously this is to me. Remain is the predictive models we build will obviously be deployed. And then it would interact with their digital mobile applications. So in real time, it'll react for the customers. And then obviously, you know, you want to make sure that claro and company trust that and it's making accurate predictions. And that's where a lot more, you know, we have to do some model validation and evaluation of that so they can begin to trust those predictions. I think is where >> I want to get your thoughts on this because you're doing a lot of learnings here. So can you guys each taking minutes playing the key Learnings from this As you go through the process? Certainly in the business side, there's a big imperative to do this. You want to have a business outcome that keeps the users there. But what did you learn? What was some of the learnings? You guys gone from the project? >> They the most important learning front from the company that wass teen in the data that that sound funny, but waiting in an alley, garbage in garbage, out on DH that wass very, very important for other was one of the things that we learn that we need to put cleaning date over the system. Also, the government's many people forget about the governments of the governments of the data on DH. Right now, we're working again with IBM in our government's >> so data quality problem? Yeah, they fight it and you report in to your CEO or the CEO. Seo, your spear of the CIA is OK. That >> is it. That's on another funny history, because because the company the company is right now, I am working for planning. This is saying they were working for planning for the company. >> Business planning? >> Yeah, for business planning. I was coming for an engineer engineering on DH. Right now, I'm working for a planning on trying to make money for the company, and you know that it's an engineer thinking how to get more money for the company I was talking about. So on some kind of analysis ticks, that is us Partial Analytics on I want you seeing that in engineer to know how the network handling how the quality of the network on right now using the same software this acknowledge, to know which is the better point to do sales is is a good combination finally and working. Ralph of planning on my boss, the planning the planet is working for the CEO and I heard about different organizations. Somebody's in Financial City owes in financial or the video for it is different. That depends from the company. Right now, I'm working for planning how to handle things, to make more money for the company, how to tow hundred children. And it is interesting because all the knowledge that I have engineering is perfect to do it >> Well, I would argue that's the job of a CDO is to figure out how to make money with data. Are saying money. Yeah. Absolute number one. Anyway, start there. >> Yeah, The thing we always talked about is really proving value. It starts with that use case. Identify where the real value is and then waken. You know, technology could come in the in the development work after that. So I agree with hundred percent. >> Carlos. Thanks for coming in. Largest telecommunication in Colombia. Great. Great customer reference. Carlo thinking men to explain real quick in a plug in for your data science elite team. What do you guys do? How do you engage? What? Some of the projects you work on Grey >> out. So we were a team of about one hundred data scientists worldwide. We work side by side with clients. In our job is to really understand the problem from end and help in all areas from skills, tools and technique. And we won't prototype in a three agile sprints. We use an agile methodology about six to eight weeks and we tied. It developed a really We call it a proof of value. It's it's not a M v P just yet or or poc But at the end of the day we prove out that we could get a model. We can do some prediction. We get a certain accuracy and it's gonna add value to the >> guys. Just >> It's not a freebie. It actually sorry. I'm sorry. It's not for paint service. It's a freebie is no cough you've got. But I don't like to use >> free way. Don't charge, but >> But it's something that clients could take advantage of if they're interesting problem and maybe eventually going to do some business. >> If you the largest telecommunication provider in the country, to get a freebie and then three keys, You guys dig in because its practitioners, real practitioners with the right skills, working on problems that way. Claro, >> Colombia's team. They were amazing. In Colombia. We had a really good time. Six to eight weeks working on it. You know, a problem on those guys. All loved it, too. They were. They were. Before they knew it. They were coding and python. And are they ready? Knew a lot of this stuff, but they're digging in with the team and became well together. >> This is the secret to modernization of digital transformation, Having sales process is getting co creating together. Absolutely. Guys do a great job, and I think this is a trend will see more of. Of course, the cubes bring you live coverage here in San Francisco at Mosconi. Nor That's where I said it is. They're shutting down the streets for IBM. Think twenty here in San Francisco, more cube coverage after the short break right back.
SUMMARY :
It's the cube covering Date is at the heart of all this moving date around from cloud to cloud using. We know howto clean the data when you have to do the right governess for the data on Is that segments you guys are targeting? How's the boy that and how to I hope to do their artificial intelligence to do So these guys came to you? We have really the way to data All the customers goes, are close in the circle, we are taking care about that prescriptive boys could have How do you get to the value? but some of the data is there, and we want to use some of that on the business side. What is data on the data handed in the good in a good way with governor? and that data cloud or however else you do it to actually take but a lot of the feature engineering Data prep does require traditional Okay, So I presume you take that, Remain is the predictive models we build will obviously be deployed. Certainly in the business side, there's a big imperative to do this. They the most important learning front from the company Yeah, they fight it and you report in to the company is right now, I am working for planning. the planning the planet is working for the CEO and I heard Well, I would argue that's the job of a CDO is to figure out how to make money with data. You know, technology could come in the in the development Some of the projects you work on Grey So we were a team of about one hundred data scientists worldwide. Just But I don't like to use but But it's something that clients could take advantage of if they're interesting problem and maybe If you the largest telecommunication provider in the country, to get a freebie and then three Six to eight weeks working This is the secret to modernization of digital transformation, Having sales process is getting co
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Influencer Panel | theCUBE NYC 2018
- [Announcer] Live, from New York, it's theCUBE. Covering theCUBE New York City 2018. Brought to you by SiliconANGLE Media, and its ecosystem partners. - Hello everyone, welcome back to CUBE NYC. This is a CUBE special presentation of something that we've done now for the past couple of years. IBM has sponsored an influencer panel on some of the hottest topics in the industry, and of course, there's no hotter topic right now than AI. So, we've got nine of the top influencers in the AI space, and we're in Hell's Kitchen, and it's going to get hot in here. (laughing) And these guys, we're going to cover the gamut. So, first of all, folks, thanks so much for joining us today, really, as John said earlier, we love the collaboration with you all, and we'll definitely see you on social after the fact. I'm Dave Vellante, with my cohost for this session, Peter Burris, and again, thank you to IBM for sponsoring this and organizing this. IBM has a big event down here, in conjunction with Strata, called Change the Game, Winning with AI. We run theCUBE NYC, we've been here all week. So, here's the format. I'm going to kick it off, and then we'll see where it goes. So, I'm going to introduce each of the panelists, and then ask you guys to answer a question, I'm sorry, first, tell us a little bit about yourself, briefly, and then answer one of the following questions. Two big themes that have come up this week. One has been, because this is our ninth year covering what used to be Hadoop World, which kind of morphed into big data. Question is, AI, big data, same wine, new bottle? Or is it really substantive, and driving business value? So, that's one question to ponder. The other one is, you've heard the term, the phrase, data is the new oil. Is data really the new oil? Wonder what you think about that? Okay, so, Chris Penn, let's start with you. Chris is cofounder of Trust Insight, long time CUBE alum, and friend. Thanks for coming on. Tell us a little bit about yourself, and then pick one of those questions. - Sure, we're a data science consulting firm. We're an IBM business partner. When it comes to "data is the new oil," I love that expression because it's completely accurate. Crude oil is useless, you have to extract it out of the ground, refine it, and then bring it to distribution. Data is the same way, where you have to have developers and data architects get the data out. You need data scientists and tools, like Watson Studio, to refine it, and then you need to put it into production, and that's where marketing technologists, technologists, business analytics folks, and tools like Watson Machine Learning help bring the data and make it useful. - Okay, great, thank you. Tony Flath is a tech and media consultant, focus on cloud and cyber security, welcome. - Thank you. - Tell us a little bit about yourself and your thoughts on one of those questions. - Sure thing, well, thanks so much for having us on this show, really appreciate it. My background is in cloud, cyber security, and certainly in emerging tech with artificial intelligence. Certainly touched it from a cyber security play, how you can use machine learning, machine control, for better controlling security across the gamut. But I'll touch on your question about wine, is it a new bottle, new wine? Where does this come from, from artificial intelligence? And I really see it as a whole new wine that is coming along. When you look at emerging technology, and you look at all the deep learning that's happening, it's going just beyond being able to machine learn and know what's happening, it's making some meaning to that data. And things are being done with that data, from robotics, from automation, from all kinds of different things, where we're at a point in society where data, our technology is getting beyond us. Prior to this, it's always been command and control. You control data from a keyboard. Well, this is passing us. So, my passion and perspective on this is, the humanization of it, of IT. How do you ensure that people are in that process, right? - Excellent, and we're going to come back and talk about that. - Thanks so much. - Carla Gentry, @DataNerd? Great to see you live, as opposed to just in the ether on Twitter. Data scientist, and owner of Analytical Solution. Welcome, your thoughts? - Thank you for having us. Mine is, is data the new oil? And I'd like to rephrase that is, data equals human lives. So, with all the other artificial intelligence and everything that's going on, and all the algorithms and models that's being created, we have to think about things being biased, being fair, and understand that this data has impacts on people's lives. - Great. Steve Ardire, my paisan. - Paisan. - AI startup adviser, welcome, thanks for coming to theCUBE. - Thanks Dave. So, uh, my first career was geology, and I view AI as the new oil, but data is the new oil, but AI is the refinery. I've used that many times before. In fact, really, I've moved from just AI to augmented intelligence. So, augmented intelligence is really the way forward. This was a presentation I gave at IBM Think last spring, has almost 100,000 impressions right now, and the fundamental reason why is machines can attend to vastly more information than humans, but you still need humans in the loop, and we can talk about what they're bringing in terms of common sense reasoning, because big data does the who, what, when, and where, but not the why, and why is really the Holy Grail for causal analysis and reasoning. - Excellent, Bob Hayes, Business Over Broadway, welcome, great to see you again. - Thanks for having me. So, my background is in psychology, industrial psychology, and I'm interested in things like customer experience, data science, machine learning, so forth. And I'll answer the question around big data versus AI. And I think there's other terms we could talk about, big data, data science, machine learning, AI. And to me, it's kind of all the same. It's always been about analytics, and getting value from your data, big, small, what have you. And there's subtle differences among those terms. Machine learning is just about making a prediction, and knowing if things are classified correctly. Data science is more about understanding why things work, and understanding maybe the ethics behind it, what variables are predicting that outcome. But still, it's all the same thing, it's all about using data in a way that we can get value from that, as a society, in residences. - Excellent, thank you. Theo Lau, founder of Unconventional Ventures. What's your story? - Yeah, so, my background is driving technology innovation. So, together with my partner, what our work does is we work with organizations to try to help them leverage technology to drive systematic financial wellness. We connect founders, startup founders, with funders, we help them get money in the ecosystem. We also work with them to look at, how do we leverage emerging technology to do something good for the society. So, very much on point to what Bob was saying about. So when I look at AI, it is not new, right, it's been around for quite a while. But what's different is the amount of technological power that we have allow us to do so much more than what we were able to do before. And so, what my mantra is, great ideas can come from anywhere in the society, but it's our job to be able to leverage technology to shine a spotlight on people who can use this to do something different, to help seniors in our country to do better in their financial planning. - Okay, so, in your mind, it's not just a same wine, new bottle, it's more substantive than that. - [Theo] It's more substantive, it's a much better bottle. - Karen Lopez, senior project manager for Architect InfoAdvisors, welcome. - Thank you. So, I'm DataChick on twitter, and so that kind of tells my focus is that I'm here, I also call myself a data evangelist, and that means I'm there at organizations helping stand up for the data, because to me, that's the proxy for standing up for the people, and the places and the events that that data describes. That means I have a focus on security, data privacy and protection as well. And I'm going to kind of combine your two questions about whether data is the new wine bottle, I think is the combination. Oh, see, now I'm talking about alcohol. (laughing) But anyway, you know, all analogies are imperfect, so whether we say it's the new wine, or, you know, same wine, or whether it's oil, is that the analogy's good for both of them, but unlike oil, the amount of data's just growing like crazy, and the oil, we know at some point, I kind of doubt that we're going to hit peak data where we have not enough data, like we're going to do with oil. But that says to me that, how did we get here with big data, with machine learning and AI? And from my point of view, as someone who's been focused on data for 35 years, we have hit this perfect storm of open source technologies, cloud architectures and cloud services, data innovation, that if we didn't have those, we wouldn't be talking about large machine learning and deep learning-type things. So, because we have all these things coming together at the same time, we're now at explosions of data, which means we also have to protect them, and protect the people from doing harm with data, we need to do data for good things, and all of that. - Great, definite differences, we're not running out of data, data's like the terrible tribbles. (laughing) - Yes, but it's very cuddly, data is. - Yeah, cuddly data. Mark Lynd, founder of Relevant Track? - That's right. - I like the name. What's your story? - Well, thank you, and it actually plays into what my interest is. It's mainly around AI in enterprise operations and cyber security. You know, these teams that are in enterprise operations both, it can be sales, marketing, all the way through the organization, as well as cyber security, they're often under-sourced. And they need, what Steve pointed out, they need augmented intelligence, they need to take AI, the big data, all the information they have, and make use of that in a way where they're able to, even though they're under-sourced, make some use and some value for the organization, you know, make better use of the resources they have to grow and support the strategic goals of the organization. And oftentimes, when you get to budgeting, it doesn't really align, you know, you're short people, you're short time, but the data continues to grow, as Karen pointed out. So, when you take those together, using AI to augment, provided augmented intelligence, to help them get through that data, make real tangible decisions based on information versus just raw data, especially around cyber security, which is a big hit right now, is really a great place to be, and there's a lot of stuff going on, and a lot of exciting stuff in that area. - Great, thank you. Kevin L. Jackson, author and founder of GovCloud. GovCloud, that's big. - Yeah, GovCloud Network. Thank you very much for having me on the show. Up and working on cloud computing, initially in the federal government, with the intelligence community, as they adopted cloud computing for a lot of the nation's major missions. And what has happened is now I'm working a lot with commercial organizations and with the security of that data. And I'm going to sort of, on your questions, piggyback on Karen. There was a time when you would get a couple of bottles of wine, and they would come in, and you would savor that wine, and sip it, and it would take a few days to get through it, and you would enjoy it. The problem now is that you don't get a couple of bottles of wine into your house, you get two or three tankers of data. So, it's not that it's a new wine, you're just getting a lot of it. And the infrastructures that you need, before you could have a couple of computers, and a couple of people, now you need cloud, you need automated infrastructures, you need huge capabilities, and artificial intelligence and AI, it's what we can use as the tool on top of these huge infrastructures to drink that, you know. - Fire hose of wine. - Fire hose of wine. (laughs) - Everybody's having a good time. - Everybody's having a great time. (laughs) - Yeah, things are booming right now. Excellent, well, thank you all for those intros. Peter, I want to ask you a question. So, I heard there's some similarities and some definite differences with regard to data being the new oil. You have a perspective on this, and I wonder if you could inject it into the conversation. - Sure, so, the perspective that we take in a lot of conversations, a lot of folks here in theCUBE, what we've learned, and I'll kind of answer both questions a little bit. First off, on the question of data as the new oil, we definitely think that data is the new asset that business is going to be built on, in fact, our perspective is that there really is a difference between business and digital business, and that difference is data as an asset. And if you want to understand data transformation, you understand the degree to which businesses reinstitutionalizing work, reorganizing its people, reestablishing its mission around what you can do with data as an asset. The difference between data and oil is that oil still follows the economics of scarcity. Data is one of those things, you can copy it, you can share it, you can easily corrupt it, you can mess it up, you can do all kinds of awful things with it if you're not careful. And it's that core fundamental proposition that as an asset, when we think about cyber security, we think, in many respects, that is the approach to how we can go about privatizing data so that we can predict who's actually going to be able to appropriate returns on it. So, it's a good analogy, but as you said, it's not entirely perfect, but it's not perfect in a really fundamental way. It's not following the laws of scarcity, and that has an enormous effect. - In other words, I could put oil in my car, or I could put oil in my house, but I can't put the same oil in both. - Can't put it in both places. And now, the issue of the wine, I think it's, we think that it is, in fact, it is a new wine, and very simple abstraction, or generalization we come up with is the issue of agency. That analytics has historically not taken on agency, it hasn't acted on behalf of the brand. AI is going to act on behalf of the brand. Now, you're going to need both of them, you can't separate them. - A lot of implications there in terms of bias. - Absolutely. - In terms of privacy. You have a thought, here, Chris? - Well, the scarcity is our compute power, and our ability for us to process it. I mean, it's the same as oil, there's a ton of oil under the ground, right, we can't get to it as efficiently, or without severe environmental consequences to use it. Yeah, when you use it, it's transformed, but our scarcity is compute power, and our ability to use it intelligently. - Or even when you find it. I have data, I can apply it to six different applications, I have oil, I can apply it to one, and that's going to matter in how we think about work. - But one thing I'd like to add, sort of, you're talking about data as an asset. The issue we're having right now is we're trying to learn how to manage that asset. Artificial intelligence is a way of managing that asset, and that's important if you're going to use and leverage big data. - Yeah, but see, everybody's talking about the quantity, the quantity, it's not always the quantity. You know, we can have just oodles and oodles of data, but if it's not clean data, if it's not alphanumeric data, which is what's needed for machine learning. So, having lots of data is great, but you have to think about the signal versus the noise. So, sometimes you get so much data, you're looking at over-fitting, sometimes you get so much data, you're looking at biases within the data. So, it's not the amount of data, it's the, now that we have all of this data, making sure that we look at relevant data, to make sure we look at clean data. - One more thought, and we have a lot to cover, I want to get inside your big brain. - I was just thinking about it from a cyber security perspective, one of my customers, they were looking at the data that just comes from the perimeter, your firewalls, routers, all of that, and then not even looking internally, just the perimeter alone, and the amount of data being pulled off of those. And then trying to correlate that data so it makes some type of business sense, or they can determine if there's incidents that may happen, and take a predictive action, or threats that might be there because they haven't taken a certain action prior, it's overwhelming to them. So, having AI now, to be able to go through the logs to look at, and there's so many different types of data that come to those logs, but being able to pull that information, as well as looking at end points, and all that, and people's houses, which are an extension of the network oftentimes, it's an amazing amount of data, and they're only looking at a small portion today because they know, there's not enough resources, there's not enough trained people to do all that work. So, AI is doing a wonderful way of doing that. And some of the tools now are starting to mature and be sophisticated enough where they provide that augmented intelligence that Steve talked about earlier. - So, it's complicated. There's infrastructure, there's security, there's a lot of software, there's skills, and on and on. At IBM Think this year, Ginni Rometty talked about, there were a couple of themes, one was augmented intelligence, that was something that was clear. She also talked a lot about privacy, and you own your data, etc. One of the things that struck me was her discussion about incumbent disruptors. So, if you look at the top five companies, roughly, Facebook with fake news has dropped down a little bit, but top five companies in terms of market cap in the US. They're data companies, all right. Apple just hit a trillion, Amazon, Google, etc. How do those incumbents close the gap? Is that concept of incumbent disruptors actually something that is being put into practice? I mean, you guys work with a lot of practitioners. How are they going to close that gap with the data haves, meaning data at their core of their business, versus the data have-nots, it's not that they don't have a lot of data, but it's in silos, it's hard to get to? - Yeah, I got one more thing, so, you know, these companies, and whoever's going to be big next is, you have a digital persona, whether you want it or not. So, if you live in a farm out in the middle of Oklahoma, you still have a digital persona, people are collecting data on you, they're putting profiles of you, and the big companies know about you, and people that first interact with you, they're going to know that you have this digital persona. Personal AI, when AI from these companies could be used simply and easily, from a personal deal, to fill in those gaps, and to have a digital persona that supports your family, your growth, both personal and professional growth, and those type of things, there's a lot of applications for AI on a personal, enterprise, even small business, that have not been done yet, but the data is being collected now. So, you talk about the oil, the oil is being built right now, lots, and lots, and lots of it. It's the applications to use that, and turn that into something personally, professionally, educationally, powerful, that's what's missing. But it's coming. - Thank you, so, I'll add to that, and in answer to your question you raised. So, one example we always used in banking is, if you look at the big banks, right, and then you look at from a consumer perspective, and there's a lot of talk about Amazon being a bank. But the thing is, Amazon doesn't need to be a bank, they provide banking services, from a consumer perspective they don't really care if you're a bank or you're not a bank, but what's different between Amazon and some of the banks is that Amazon, like you say, has a lot of data, and they know how to make use of the data to offer something as relevant that consumers want. Whereas banks, they have a lot of data, but they're all silos, right. So, it's not just a matter of whether or not you have the data, it's also, can you actually access it and make something useful out of it so that you can create something that consumers want? Because otherwise, you're just a pipe. - Totally agree, like, when you look at it from a perspective of, there's a lot of terms out there, digital transformation is thrown out so much, right, and go to cloud, and you migrate to cloud, and you're going to take everything over, but really, when you look at it, and you both touched on it, it's the economics. You have to look at the data from an economics perspective, and how do you make some kind of way to take this data meaningful to your customers, that's going to work effectively for them, that they're going to drive? So, when you look at the big, big cloud providers, I think the push in things that's going to happen in the next few years is there's just going to be a bigger migration to public cloud. So then, between those, they have to differentiate themselves. Obvious is artificial intelligence, in a way that makes it easy to aggregate data from across platforms, to aggregate data from multi-cloud, effectively. To use that data in a meaningful way that's going to drive, not only better decisions for your business, and better outcomes, but drives our opportunities for customers, drives opportunities for employees and how they work. We're at a really interesting point in technology where we get to tell technology what to do. It's going beyond us, it's no longer what we're telling it to do, it's going to go beyond us. So, how we effectively manage that is going to be where we see that data flow, and those big five or big four, really take that to the next level. - Now, one of the things that Ginni Rometty said was, I forget the exact step, but it was like, 80% of the data, is not searchable. Kind of implying that it's sitting somewhere behind a firewall, presumably on somebody's premises. So, it was kind of interesting. You're talking about, certainly, a lot of momentum for public cloud, but at the same time, a lot of data is going to stay where it is. - Yeah, we're assuming that a lot of this data is just sitting there, available and ready, and we look at the desperate, or disparate kind of database situation, where you have 29 databases, and two of them have unique quantifiers that tie together, and the rest of them don't. So, there's nothing that you can do with that data. So, artificial intelligence is just that, it's artificial intelligence, so, they know, that's machine learning, that's natural language, that's classification, there's a lot of different parts of that that are moving, but we also have to have IT, good data infrastructure, master data management, compliance, there's so many moving parts to this, that it's not just about the data anymore. - I want to ask Steve to chime in here, go ahead. - Yeah, so, we also have to change the mentality that it's not just enterprise data. There's data on the web, the biggest thing is Internet of Things, the amount of sensor data will make the current data look like chump change. So, data is moving faster, okay. And this is where the sophistication of machine learning needs to kick in, going from just mostly supervised-learning today, to unsupervised learning. And in order to really get into, as I said, big data, and credible AI does the who, what, where, when, and how, but not the why. And this is really the Holy Grail to crack, and it's actually under a new moniker, it's called explainable AI, because it moves beyond just correlation into root cause analysis. Once we have that, then you have the means to be able to tap into augmented intelligence, where humans are working with the machines. - Karen, please. - Yeah, so, one of the things, like what Carla was saying, and what a lot of us had said, I like to think of the advent of ML technologies and AI are going to help me as a data architect to love my data better, right? So, that includes protecting it, but also, when you say that 80% of the data is unsearchable, it's not just an access problem, it's that no one knows what it was, what the sovereignty was, what the metadata was, what the quality was, or why there's huge anomalies in it. So, my favorite story about this is, in the 1980s, about, I forget the exact number, but like, 8 million children disappeared out of the US in April, at April 15th. And that was when the IRS enacted a rule that, in order to have a dependent, a deduction for a dependent on your tax returns, they had to have a valid social security number, and people who had accidentally miscounted their children and over-claimed them, (laughter) over the years them, stopped doing that. Well, some days it does feel like you have eight children running around. (laughter) - Agreed. - When, when that rule came about, literally, and they're not all children, because they're dependents, but literally millions of children disappeared off the face of the earth in April, but if you were doing analytics, or AI and ML, and you don't know that this anomaly happened, I can imagine in a hundred years, someone is saying some catastrophic event happened in April, 1983. (laughter) And what caused that, was it healthcare? Was it a meteor? Was it the clown attacking them? - That's where I was going. - Right. So, those are really important things that I want to use AI and ML to help me, not only document and capture that stuff, but to provide that information to the people, the data scientists and the analysts that are using the data. - Great story, thank you. Bob, you got a thought? You got the mic, go, jump in here. - Well, yeah, I do have a thought, actually. I was talking about, what Karen was talking about. I think it's really important that, not only that we understand AI, and machine learning, and data science, but that the regular folks and companies understand that, at the basic level. Because those are the people who will ask the questions, or who know what questions to ask of the data. And if they don't have the tools, and the knowledge of how to get access to that data, or even how to pose a question, then that data is going to be less valuable, I think, to companies. And the more that everybody knows about data, even people in congress. Remember when Zuckerberg talked about? (laughter) - That was scary. - How do you make money? It's like, we all know this. But, we need to educate the masses on just basic data analytics. - We could have an hour-long panel on that. - Yeah, absolutely. - Peter, you and I were talking about, we had a couple of questions, sort of, how far can we take artificial intelligence? How far should we? You know, so that brings in to the conversation of ethics, and bias, why don't you pick it up? - Yeah, so, one of the crucial things that we all are implying is that, at some point in time, AI is going to become a feature of the operations of our homes, our businesses. And as these technologies get more powerful, and they diffuse, and know about how to use them, diffuses more broadly, and you put more options into the hands of more people, the question slowly starts to turn from can we do it, to should we do it? And, one of the issues that I introduce is that I think the difference between big data and AI, specifically, is this notion of agency. The AI will act on behalf of, perhaps you, or it will act on behalf of your business. And that conversation is not being had, today. It's being had in arguments between Elon Musk and Mark Zuckerberg, which pretty quickly get pretty boring. (laughing) At the end of the day, the real question is, should this machine, whether in concert with others, or not, be acting on behalf of me, on behalf of my business, or, and when I say on behalf of me, I'm also talking about privacy. Because Facebook is acting on behalf of me, it's not just what's going on in my home. So, the question of, can it be done? A lot of things can be done, and an increasing number of things will be able to be done. We got to start having a conversation about should it be done? - So, humans exhibit tribal behavior, they exhibit bias. Their machine's going to pick that up, go ahead, please. - Yeah, one thing that sort of tag onto agency of artificial intelligence. Every industry, every business is now about identifying information and data sources, and their appropriate sinks, and learning how to draw value out of connecting the sources with the sinks. Artificial intelligence enables you to identify those sources and sinks, and when it gets agency, it will be able to make decisions on your behalf about what data is good, what data means, and who it should be. - What actions are good. - Well, what actions are good. - And what data was used to make those actions. - Absolutely. - And was that the right data, and is there bias of data? And all the way down, all the turtles down. - So, all this, the data pedigree will be driven by the agency of artificial intelligence, and this is a big issue. - It's really fundamental to understand and educate people on, there are four fundamental types of bias, so there's, in machine learning, there's intentional bias, "Hey, we're going to make "the algorithm generate a certain outcome "regardless of what the data says." There's the source of the data itself, historical data that's trained on the models built on flawed data, the model will behave in a flawed way. There's target source, which is, for example, we know that if you pull data from a certain social network, that network itself has an inherent bias. No matter how representative you try to make the data, it's still going to have flaws in it. Or, if you pull healthcare data about, for example, African-Americans from the US healthcare system, because of societal biases, that data will always be flawed. And then there's tool bias, there's limitations to what the tools can do, and so we will intentionally exclude some kinds of data, or not use it because we don't know how to, our tools are not able to, and if we don't teach people what those biases are, they won't know to look for them, and I know. - Yeah, it's like, one of the things that we were talking about before, I mean, artificial intelligence is not going to just create itself, it's lines of code, it's input, and it spits out output. So, if it learns from these learning sets, we don't want AI to become another buzzword. We don't want everybody to be an "AR guru" that has no idea what AI is. It takes months, and months, and months for these machines to learn. These learning sets are so very important, because that input is how this machine, think of it as your child, and that's basically the way artificial intelligence is learning, like your child. You're feeding it these learning sets, and then eventually it will make its own decisions. So, we know from some of us having children that you teach them the best that you can, but then later on, when they're doing their own thing, they're really, it's like a little myna bird, they've heard everything that you've said. (laughing) Not only the things that you said to them directly, but the things that you said indirectly. - Well, there are some very good AI researchers that might disagree with that metaphor, exactly. (laughing) But, having said that, what I think is very interesting about this conversation is that this notion of bias, one of the things that fascinates me about where AI goes, are we going to find a situation where tribalism more deeply infects business? Because we know that human beings do not seek out the best information, they seek out information that reinforces their beliefs. And that happens in business today. My line of business versus your line of business, engineering versus sales, that happens today, but it happens at a planning level, and when we start talking about AI, we have to put the appropriate dampers, understand the biases, so that we don't end up with deep tribalism inside of business. Because AI could have the deleterious effect that it actually starts ripping apart organizations. - Well, input is data, and then the output is, could be a lot of things. - Could be a lot of things. - And that's where I said data equals human lives. So that we look at the case in New York where the penal system was using this artificial intelligence to make choices on people that were released from prison, and they saw that that was a miserable failure, because that people that release actually re-offended, some committed murder and other things. So, I mean, it's, it's more than what anybody really thinks. It's not just, oh, well, we'll just train the machines, and a couple of weeks later they're good, we never have to touch them again. These things have to be continuously tweaked. So, just because you built an algorithm or a model doesn't mean you're done. You got to go back later, and continue to tweak these models. - Mark, you got the mic. - Yeah, no, I think one thing we've talked a lot about the data that's collected, but what about the data that's not collected? Incomplete profiles, incomplete datasets, that's a form of bias, and sometimes that's the worst. Because they'll fill that in, right, and then you can get some bias, but there's also a real issue for that around cyber security. Logs are not always complete, things are not always done, and when things are doing that, people make assumptions based on what they've collected, not what they didn't collect. So, when they're looking at this, and they're using the AI on it, that's only on the data collected, not on that that wasn't collected. So, if something is down for a little while, and no data's collected off that, the assumption is, well, it was down, or it was impacted, or there was a breach, or whatever, it could be any of those. So, you got to, there's still this human need, there's still the need for humans to look at the data and realize that there is the bias in there, there is, we're just looking at what data was collected, and you're going to have to make your own thoughts around that, and assumptions on how to actually use that data before you go make those decisions that can impact lots of people, at a human level, enterprise's profitability, things like that. And too often, people think of AI, when it comes out of there, that's the word. Well, it's not the word. - Can I ask a question about this? - Please. - Does that mean that we shouldn't act? - It does not. - Okay. - So, where's the fine line? - Yeah, I think. - Going back to this notion of can we do it, or should we do it? Should we act? - Yeah, I think you should do it, but you should use it for what it is. It's augmenting, it's helping you, assisting you to make a valued or good decision. And hopefully it's a better decision than you would've made without it. - I think it's great, I think also, your answer's right too, that you have to iterate faster, and faster, and faster, and discover sources of information, or sources of data that you're not currently using, and, that's why this thing starts getting really important. - I think you touch on a really good point about, should you or shouldn't you? You look at Google, and you look at the data that they've been using, and some of that out there, from a digital twin perspective, is not being approved, or not authorized, and even once they've made changes, it's still floating around out there. Where do you know where it is? So, there's this dilemma of, how do you have a digital twin that you want to have, and is going to work for you, and is going to do things for you to make your life easier, to do these things, mundane tasks, whatever? But how do you also control it to do things you don't want it to do? - Ad-based business models are inherently evil. (laughing) - Well, there's incentives to appropriate our data, and so, are things like blockchain potentially going to give users the ability to control their data? We'll see. - No, I, I'm sorry, but that's actually a really important point. The idea of consensus algorithms, whether it's blockchain or not, blockchain includes games, and something along those lines, whether it's Byzantine fault tolerance, or whether it's Paxos, consensus-based algorithms are going to be really, really important. Parts of this conversation, because the data's going to be more distributed, and you're going to have more elements participating in it. And so, something that allows, especially in the machine-to-machine world, which is a lot of what we're talking about right here, you may not have blockchain, because there's no need for a sense of incentive, which is what blockchain can help provide. - And there's no middleman. - And, well, all right, but there's really, the thing that makes blockchain so powerful is it liberates new classes of applications. But for a lot of the stuff that we're talking about, you can use a very powerful consensus algorithm without having a game side, and do some really amazing things at scale. - So, looking at blockchain, that's a great thing to bring up, right. I think what's inherently wrong with the way we do things today, and the whole overall design of technology, whether it be on-prem, or off-prem, is both the lock and key is behind the same wall. Whether that wall is in a cloud, or behind a firewall. So, really, when there is an audit, or when there is a forensics, it always comes down to a sysadmin, or something else, and the system administrator will have the finger pointed at them, because it all resides, you can edit it, you can augment it, or you can do things with it that you can't really determine. Now, take, as an example, blockchain, where you've got really the source of truth. Now you can take and have the lock in one place, and the key in another place. So that's certainly going to be interesting to see how that unfolds. - So, one of the things, it's good that, we've hit a lot of buzzwords, right now, right? (laughing) AI, and ML, block. - Bingo. - We got the blockchain bingo, yeah, yeah. So, one of the things is, you also brought up, I mean, ethics and everything, and one of the things that I've noticed over the last year or so is that, as I attend briefings or demos, everyone is now claiming that their product is AI or ML-enabled, or blockchain-enabled. And when you try to get answers to the questions, what you really find out is that some things are being pushed as, because they have if-then statements somewhere in their code, and therefore that's artificial intelligence or machine learning. - [Peter] At least it's not "go-to." (laughing) - Yeah, you're that experienced as well. (laughing) So, I mean, this is part of the thing you try to do as a practitioner, as an analyst, as an influencer, is trying to, you know, the hype of it all. And recently, I attended one where they said they use blockchain, and I couldn't figure it out, and it turns out they use GUIDs to identify things, and that's not blockchain, it's an identifier. (laughing) So, one of the ethics things that I think we, as an enterprise community, have to deal with, is the over-promising of AI, and ML, and deep learning, and recognition. It's not, I don't really consider it visual recognition services if they just look for red pixels. I mean, that's not quite the same thing. Yet, this is also making things much harder for your average CIO, or worse, CFO, to understand whether they're getting any value from these technologies. - Old bottle. - Old bottle, right. - And I wonder if the data companies, like that you talked about, or the top five, I'm more concerned about their nearly, or actual $1 trillion valuations having an impact on their ability of other companies to disrupt or enter into the field more so than their data technologies. Again, we're coming to another perfect storm of the companies that have data as their asset, even though it's still not on their financial statements, which is another indicator whether it's really an asset, is that, do we need to think about the terms of AI, about whose hands it's in, and who's, like, once one large trillion-dollar company decides that you are not a profitable company, how many other companies are going to buy that data and make that decision about you? - Well, and for the first time in business history, I think, this is true, we're seeing, because of digital, because it's data, you're seeing tech companies traverse industries, get into, whether it's content, or music, or publishing, or groceries, and that's powerful, and that's awful scary. - If you're a manger, one of the things your ownership is asking you to do is to reduce asset specificities, so that their capital could be applied to more productive uses. Data reduces asset specificities. It brings into question the whole notion of vertical industry. You're absolutely right. But you know, one quick question I got for you, playing off of this is, again, it goes back to this notion of can we do it, and should we do it? I find it interesting, if you look at those top five, all data companies, but all of them are very different business models, or they can classify the two different business models. Apple is transactional, Microsoft is transactional, Google is ad-based, Facebook is ad-based, before the fake news stuff. Amazon's kind of playing it both sides. - Yeah, they're kind of all on a collision course though, aren't they? - But, well, that's what's going to be interesting. I think, at some point in time, the "can we do it, should we do it" question is, brands are going to be identified by whether or not they have gone through that process of thinking about, should we do it, and say no. Apple is clearly, for example, incorporating that into their brand. - Well, Silicon Valley, broadly defined, if I include Seattle, and maybe Armlock, not so much IBM. But they've got a dual disruption agenda, they've always disrupted horizontal tech. Now they're disrupting vertical industries. - I was actually just going to pick up on what she was talking about, we were talking about buzzword, right. So, one we haven't heard yet is voice. Voice is another big buzzword right now, when you couple that with IoT and AI, here you go, bingo, do I got three points? (laughing) Voice recognition, voice technology, so all of the smart speakers, if you think about that in the world, there are 7,000 languages being spoken, but yet if you look at Google Home, you look at Siri, you look at any of the devices, I would challenge you, it would have a lot of problem understanding my accent, and even when my British accent creeps out, or it would have trouble understanding seniors, because the way they talk, it's very different than a typical 25-year-old person living in Silicon Valley, right. So, how do we solve that, especially going forward? We're seeing voice technology is going to be so more prominent in our homes, we're going to have it in the cars, we have it in the kitchen, it does everything, it listens to everything that we are talking about, not talking about, and records it. And to your point, is it going to start making decisions on our behalf, but then my question is, how much does it actually understand us? - So, I just want one short story. Siri can't translate a word that I ask it to translate into French, because my phone's set to Canadian English, and that's not supported. So I live in a bilingual French English country, and it can't translate. - But what this is really bringing up is if you look at society, and culture, what's legal, what's ethical, changes across the years. What was right 200 years ago is not right now, and what was right 50 years ago is not right now. - It changes across countries. - It changes across countries, it changes across regions. So, what does this mean when our AI has agency? How do we make ethical AI if we don't even know how to manage the change of what's right and what's wrong in human society? - One of the most important questions we have to worry about, right? - Absolutely. - But it also says one more thing, just before we go on. It also says that the issue of economies of scale, in the cloud. - Yes. - Are going to be strongly impacted, not just by how big you can build your data centers, but some of those regulatory issues that are going to influence strongly what constitutes good experience, good law, good acting on my behalf, agency. - And one thing that's underappreciated in the marketplace right now is the impact of data sovereignty, if you get back to data, countries are now recognizing the importance of managing that data, and they're implementing data sovereignty rules. Everyone talks about California issuing a new law that's aligned with GDPR, and you know what that meant. There are 30 other states in the United States alone that are modifying their laws to address this issue. - Steve. - So, um, so, we got a number of years, no matter what Ray Kurzweil says, until we get to artificial general intelligence. - The singularity's not so near? (laughing) - You know that he's changed the date over the last 10 years. - I did know it. - Quite a bit. And I don't even prognosticate where it's going to be. But really, where we're at right now, I keep coming back to, is that's why augmented intelligence is really going to be the new rage, humans working with machines. One of the hot topics, and the reason I chose to speak about it is, is the future of work. I don't care if you're a millennial, mid-career, or a baby boomer, people are paranoid. As machines get smarter, if your job is routine cognitive, yes, you have a higher propensity to be automated. So, this really shifts a number of things. A, you have to be a lifelong learner, you've got to learn new skillsets. And the dynamics are changing fast. Now, this is also a great equalizer for emerging startups, and even in SMBs. As the AI improves, they can become more nimble. So back to your point regarding colossal trillion dollar, wait a second, there's going to be quite a sea change going on right now, and regarding demographics, in 2020, millennials take over as the majority of the workforce, by 2025 it's 75%. - Great news. (laughing) - As a baby boomer, I try my damnedest to stay relevant. - Yeah, surround yourself with millennials is the takeaway there. - Or retire. (laughs) - Not yet. - One thing I think, this goes back to what Karen was saying, if you want a basic standard to put around the stuff, look at the old ISO 38500 framework. Business strategy, technology strategy. You have risk, compliance, change management, operations, and most importantly, the balance sheet in the financials. AI and what Tony was saying, digital transformation, if it's of meaning, it belongs on a balance sheet, and should factor into how you value your company. All the cyber security, and all of the compliance, and all of the regulation, is all stuff, this framework exists, so look it up, and every time you start some kind of new machine learning project, or data sense project, say, have we checked the box on each of these standards that's within this machine? And if you haven't, maybe slow down and do your homework. - To see a day when data is going to be valued on the balance sheet. - It is. - It's already valued as part of the current, but it's good will. - Certainly market value, as we were just talking about. - Well, we're talking about all of the companies that have opted in, right. There's tens of thousands of small businesses just in this region alone that are opt-out. They're small family businesses, or businesses that really aren't even technology-aware. But data's being collected about them, it's being on Yelp, they're being rated, they're being reviewed, the success to their business is out of their hands. And I think what's really going to be interesting is, you look at the big data, you look at AI, you look at things like that, blockchain may even be a potential for some of that, because of mutability, but it's when all of those businesses, when the technology becomes a cost, it's cost-prohibitive now, for a lot of them, or they just don't want to do it, and they're proudly opt-out. In fact, we talked about that last night at dinner. But when they opt-in, the company that can do that, and can reach out to them in a way that is economically feasible, and bring them back in, where they control their data, where they control their information, and they do it in such a way where it helps them build their business, and it may be a generational business that's been passed on. Those kind of things are going to make a big impact, not only on the cloud, but the data being stored in the cloud, the AI, the applications that you talked about earlier, we talked about that. And that's where this bias, and some of these other things are going to have a tremendous impact if they're not dealt with now, at least ethically. - Well, I feel like we just got started, we're out of time. Time for a couple more comments, and then officially we have to wrap up. - Yeah, I had one thing to say, I mean, really, Henry Ford, and the creation of the automobile, back in the early 1900s, changed everything, because now we're no longer stuck in the country, we can get away from our parents, we can date without grandma and grandpa setting on the porch with us. (laughing) We can take long trips, so now we're looked at, we've sprawled out, we're not all living in the country anymore, and it changed America. So, AI has that same capabilities, it will automate mundane routine tasks that nobody wanted to do anyway. So, a lot of that will change things, but it's not going to be any different than the way things changed in the early 1900s. - It's like you were saying, constant reinvention. - I think that's a great point, let me make one observation on that. Every period of significant industrial change was preceded by the formation, a period of formation of new assets that nobody knew what to do with. Whether it was, what do we do, you know, industrial manufacturing, it was row houses with long shafts tied to an engine that was coal-fired, and drove a bunch of looms. Same thing, railroads, large factories for Henry Ford, before he figured out how to do an information-based notion of mass production. This is the period of asset formation for the next generation of social structures. - Those ship-makers are going to be all over these cars, I mean, you're going to have augmented reality right there, on your windshield. - Karen, bring it home. Give us the drop-the-mic moment. (laughing) - No pressure. - Your AV guys are not happy with that. So, I think the, it all comes down to, it's a people problem, a challenge, let's say that. The whole AI ML thing, people, it's a legal compliance thing. Enterprises are going to struggle with trying to meet five billion different types of compliance rules around data and its uses, about enforcement, because ROI is going to make risk of incarceration as well as return on investment, and we'll have to manage both of those. I think businesses are struggling with a lot of this complexity, and you just opened a whole bunch of questions that we didn't really have solid, "Oh, you can fix it by doing this." So, it's important that we think of this new world of data focus, data-driven, everything like that, is that the entire IT and business community needs to realize that focusing on data means we have to change how we do things and how we think about it, but we also have some of the same old challenges there. - Well, I have a feeling we're going to be talking about this for quite some time. What a great way to wrap up CUBE NYC here, our third day of activities down here at 37 Pillars, or Mercantile 37. Thank you all so much for joining us today. - Thank you. - Really, wonderful insights, really appreciate it, now, all this content is going to be available on theCUBE.net. We are exposing our video cloud, and our video search engine, so you'll be able to search our entire corpus of data. I can't wait to start searching and clipping up this session. Again, thank you so much, and thank you for watching. We'll see you next time.
SUMMARY :
- Well, and for the first
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Carey Stanton, Veeam | VeeamOn 2018
>> Narrator: Live from Chicago, Illinois it's theCUBE. Covering VeeamON 2018. Brought to you by Veeam. >> Welcome back to VeeamON 2018. This is theCUBE, the leader in live tech coverage. My name is Dave Vellante with my co-host Stu Miniman. #VeeamON, our second year of VeeamON coverage, this is day one. Carey Stanton this year is the Vice President of Strategic Alliances at Veeam. We're having a great conversation about it. Hockey, Cape Cod. >> Golden Retrievers. Golden Retrievers. >> Oh, I love dogs. >> Dave, how many times do we travel the world and talk to a local? (laughs) >> Boston area guy. >> So welcome to theCUBE. >> Thank you very much. >> And welcome to Boston. >> A year and a half in Boston, right downtown empty nesters. My two children are back doing university in Canada. I've got a sophomore and a junior so my wife and I are living in Boston empty nesters, it's awesome. >> That's great, you've got to love it. And I love the fact that you're from Ottawa, but you're a Bruins fan. >> Yes, I've basically turned into a Bruins fan. I'm a Red Sox fan and a Patriots fan and the Celtics are in the playoffs. >> Yes, love this guy. >> You'd better be if you're working for Peter MacKay. >> Yeah, you have to. It's like you have to sign in. And I've worked for Peter for 17 years, three different companies. >> Okay, so you were at VMware. >> I was at Vmware, I was at Desktone, and then we did IBM and part of that was Watchfire which we sold to IBM. So, a long journey. >> So give us the update, what's happening in alliances. >> Yeah, so it's great. As you know we have our global reseller agreement that we announced most recently with NetApp just in March. We're now on their GPL. We went live on Cisco, we announced Cisco back in August but we went live on November 15th and we have HPE and all three of them are just exceeding expectations as far as the demand and the interest we're getting from our sellers. As you've seen from Peter and Veeam, we're targeted to the enterprise. We have our messaging our own hyper-availability. So these partners bring us a huge opportunity by working into their customer base, but we close 133 customers a day, right you heard Peter mention that. But we're bringing them into our customer base which is traditionally SMB and commercial and we're working with them on their enterprise. But an exciting stat for that one is that we say no naked Veeam. When you sell with an alliance partner it's six to eight times larger than if we sell standalone. So it's working, the messaging and the enabling we have with our field and we're 100% channel. So that's working very well on just the enablement with Jeff Giannetti, Sean, and Olivia, and Ameya. >> Well the other thing that you guys seem to have done is figured out how to take a long view, a strategic view with these partners. Many organizations, they look for the tactical. Okay, how much money >> Yes, yeah. are we going to make this year? You're looking at the lifetime value of a customer. >> Correct. >> It's frankly quite unique in this business. >> Well, the interesting thing we're doing which is not just on the global resellers which is on all of our partners is that we look and say what's a good partnership look like or what's the great partnership look like. And what we have is the investment that we are because we're private is we'll do the front-end investing up front. We'll do a joint business plan, have shared metrics across the table. So whether that's with Pure Storage or with Nutanix, with our VMware, Microsoft, we front-load all of those investments. To your point, is that we're not just waiting to see did we have success year one and then we'll invest year two. We take that three year business case view up front and do the front-end load investment. So, what does that mean? That's a dedicated business development team. We have 25 people working and go to market with HPE or 12 working with Cisco and we take that from technical architects, field marketing, product marketing and to make that in clot entire plot. >> Yeah, Carey, I wonder if you can give us a little bit of a compare and contrast. VMware built one of the best ecosystems out there. We already talked once today. For every dollar you spend on VMware you did 15, 20 dollars with the ecosystem, Veeam's nice vibrant ecosystem >> Yes. getting deeper with some of those partners. Give us a little compare from your previous life. >> Yeah, sure, so at VMware no question that they had that solution so we take that here as well and we call it the Veeam Currency. So when you're going in and selling Veeam, if you're selling an average selling price of $10,000, we're working with our partners where they're seeing that that deal is going to turn into a $50,000 traditional with an alliance partner sale in conjunction with their hard work. So they're managing the entire software process so they're seeing their up leveling the messaging so no longer just pinpointing at a hardware solution. And they're increasing their average selling price by 10x, so Cisco is at a great set. 10x, again I'll repeat 10x with Veeam on doing those deals. First it's just trying to go in and sell HyperFlex Standalone. >> It's just a really critical time in the industry right now. Our research shows that there's a gap between what the business expects in terms of the degrees of automation, the level of quality of services and what IT is actually delivering. So that says that customer base is really ripe for churn in a lot of accounts. And so you guys being aggressive with partnerships in regard to making that investment as a private company, the timing frankly couldn't be better. Especially as you go from what was a virtualized world where you guys did very, very well to now this cloud, multi-cloud digital, you know throw in whatever buzzword you want. But, we are at an inflection point. >> Yeah, we sure are. I think that what we're seeing with our partners especially on HPE and Cisco and Nutanix is they're all near hyper converged and so they're going in a whole different sales motion. We're seeing it on our hybrid cloud, we're a number one close sell partner with Microsoft. So we have our backup, native backup to Azure and so we're seeing this destructive market in the market place and we're also seeing a lot of our partners have competitive takeouts of Dell Avamar, right and their data domain. So we're going in and taking out Dell Avamar and they're going in and data domain so we have a lot of synergy and so as these traditional vendors such as Avamar, Veritas, Commvault, and the IBM Tivoli Solution is that we have those sales motions going with our partners that are going after those hardware solutions. So, again, it's very synergistic with our tier one partnerships. >> Well you see a huge drive towards simplicity. I mean, another thing you guys do really well is, and it sounds so simple, but you're compatible with a lot of different clouds, for example. So more work loads, more environments increases your TAM and your friendliness to partners. It sounds simple, but execution is not. >> Yeah, we're a Swiss based company, we remain. The Switzerland is that we work with all partners in all routes and so we've seen a lot of success in that way. We see a lot of demand coming from our customers, our partners wanting to work with us in these multi-cloud solutions that we have with Microsoft. >> Biggest challenges, is it a channel conflict? Dealing with deal registration, I mean, what are some of the challenges you guys are facing? >> I think that challenge is just enabling our sales teams on how to work with these partners and to understand the sales motion. And some of our sales execs are 20 year veterans that have come in and worked in a traditional place where when you went out to tackle an enterprise deal, you did that standalone. And we realize that we don't take any deals direct. So just getting them in the sales motion with our partners is a challenge, but one that is easily adapting to success that we're having in the field. >> Alright, Carey I know you're super tight on time. We promised to get you out >> Yes, sir. of here. We've got to leave it there, but thanks so much for coming on theCUBE. We really enjoyed having you. >> Okay, thank you very much. >> Alright, keep right there everybody, we'll be back with our next guest right after this short break. You're watching theCUBE live from VeeamON 2018. (techno music)
SUMMARY :
Brought to you by Veeam. is the Vice President Golden Retrievers. and a junior so my wife And I love the fact are in the playoffs. You'd better be if you're Yeah, you have to. Desktone, and then we did IBM So give us the update, and the enabling we have Well the other thing that you guys seem are we going to make this year? It's frankly quite and go to market with HPE you did 15, 20 dollars with the ecosystem, getting deeper with that solution so we take that here as well And so you guys being is that we have those sales I mean, another thing you that we have with Microsoft. but one that is easily adapting to success We promised to get you out We've got to leave it with our next guest right
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Michael Allison & Derek Williams, State of Louisiana | Nutanix .NEXT 2018
>> Announcer: Live from New Orleans, Louisiana. It's theCUBE, covering .NEXT conference 2018, brought to you by Nutanix. >> Welcome back, we're here in New Orleans in the state of Louisiana, and to help Keith Townsend and myself, Stu Miniman, wrap up we're glad to have one more customer. We have the great state of Louisiana here with us, we have Michael Allison, who's the Chief Technology Officer. We also have Derek Williams, who's the Director of Data Center Operations. Gentleman, thanks so much for joining us. >> Thank you. >> Thanks for having us. >> All right, so I think we all know what the state of Louisiana is, hopefully most people can find it on a map, it's a nice easy shape to remember from my kids and the like. But, Michael, why don't we start with you? Talk to us first about kind of the purview of your group, your organization, and some of the kind of biggest challenges you've been facing in recent times. Sure, we are part of the Office of Technology Services, which is a consolidated IT organization for the state of Louisiana. We were organized about four years ago. Actually four years ago this July. And that brought in the 16 Federated IT groups into one large organization. And we have the purview of the executive branch, which includes those typical agencies like Children and Family Services, Motor Vehicles, Public Safety, Health and Hospitals, Labor, etc. >> And Derek, you've got the data center operations, so give us a little bit of a scope. We heard how many organizations in there, but what do you all have to get your arms around? >> Sure, so we had, you know, there's often a joke that we make that if they've ever made it we own one of each. So we had a little bit of every type of technology. So what we've really been getting our arms around is trying to standardize technologies, get a standard stack going, an enterprise level thing. And really what we're trying to do is become a service provider to those customers where we have standard lines of service and set enterprise level platforms that we migrate everybody onto. So do you actually have your own data centers? Your own hosting facilities? What's kind of the real estate look like? >> Absolutely, so we have, the state has two primary data centers that we utilize, and then we also use a number of cloud services as well as some third-party providers for offsite services. >> So obviously just like every other state in the union, you guys have plenty of money. >> Always. >> Way too many employees and just no challenges. Let's talk about what are the challenges? You know, coming together, bringing that many organizations together, there's challenges right off the bat. What are some of the challenges as you guys look to provide services to the great people of Louisiana? >> Well as Derek kind of eluded to, technology debt is deep. We have services that are aging at about 40 years old, that are our tier one services. And they were built in silos many, many years ago. So being able to do the application or actualization, being able to identify those services, then when we actually shift to the cultural side, actually bringing 16 different IT organizations into one, having all those individuals now work together instead of apart. And not in silos. That was probably one of the biggest challenges that we had over the last few years is really breaking down those cultural barriers and really coming together as one organization. >> Yeah I totally agree with that. The cultural aspect has been the biggest piece for us. Really getting in there and saying, you know a lot of small and medium size IT shops could get away without necessarily having the proper governance, structures in place, and a lot of people wore a lot of hats. So now we're about 800 strong in the Office of Technology Services, and that means people are very aligned to what they do operationally. And so that's been a big shift and kind of that cultural shift has really been where we've had to focus on to make that align properly to the business needs. >> Mike, what was the reason that led you down the path towards Nutanix? Maybe set us up with a little bit of the problem statement? We heard some of the heterogeneous nature and standardization which seems to fit into a theme we've heard lots of times with Nutanix. But was there a specific use case or what led you towards that path? Well, about four years ago the Department of Health and Hospitals really had a case where they needed to modernize their Medicaid services, eligibility and enrollment. CMS really challenged them to build an infrastructure that was in line with their MIDAS standards. There was modular, COTS, configuration over customization. Federal government no longer wants to build monolithic systems that don't integrate and are just big silos. So what we did was we gravitated to that project. We went to CMS and said, hey why don't we take what you're asking us to build and build it in a way that we can expand throughout the enterprise to not only affect the Department of Health but also Children of Family Services, and be able to expand it to Department of Corrections, etc. That was our use case, and having an anchor tenent with the Department of Health that has a partner with CMS really became the lynch pin in this journey. That was our first real big win. >> Okay how did you hear first about Nutanix? Was there a bake off you went through? >> It was, yes, very similar. It was the RP process took a year or so and we were actually going down the road of procuring some V blocks, and right before the Christmas vacations our Deputy CIO says hey, why don't you go look to see if there's other solutions that are out there? Challenge Derek, myself, and some others to really expand the horizons. Say, if we're going to kind of do this greenfield, what else is out there? And right before he got on his Christmas cruise he dropped that on our lap and about a month later we were going down the Dell Nutanix route. And to be honest it was very contentious, and it actually took a call from Michael Dell who I sent to voicemail twice before I realized who it was, but you know, those are the kind of decisions and the buy in from Dell executives that really allowed us to comfortably make this decision and move forward. >> So technology doesn't exactly move fast in any government because, you know, people process technology and especially in the government, people and process, as you guys have deployed Nutanix throughout your environment, what are some of the wins and what are some of the challenges? >> That's a funny point because we talk about this a lot. The fact that our choice was really between something like VBlock, which was an established player that had been for a long time, and something a little more bleeding edge. And part of the hesitancy to move to something like Nutanix was the idea that hey, we have a lot of restricted data, CJIS, HIPAA, all those kind of things across the board, RS1075 comes into play, and there was hesitancy to move to something new, but one of the things that we said exactly was we are not as agile as private sector. The procurement process, all the things that we have to do, put us a little further out. So it did come into play that when we look at that timeline the stuff that's bleeding edge now, by the time we have it out there in production it's probably going to be mainstream. So we had to hedge our bets a little. And you know, we really had to do our homework. Nutanix was, you know, kind of head and shoulders above a lot of what we looked at, and I had resiliency to it at first, so credit to the Deputy CIO, he made the right call, we came around on it, it's been awesome ever since you know, one of the driving things for us too was getting out there and really looking at the business case and talking to the customers. One of the huge things we kept hearing over and over was the HA aspect of it. You know, we need the high availability, we need the high availability. The other interesting thing that we have from the cost perspective is we are a cost recovery agency now that we're consolidated. So what you use you get charged for, you get a bill every month just like a commercial provider. You know, use this many servers, this much storage, you get that invoice for it. So we needed a way that we could have an environment that's scaled kind of at a linear cost that we could just kind of add these nodes to without having to go buy a new environment and have this huge kind of CAPX expenditure. And so at the end of the day it lived up to the hype and we went with Nutanix and we haven't regretted it, so. >> How are the vendors doing overall, helping you move to that really OP-X model, you said, love to hear what you're doing with cloud overall. Nutanix is talking about it. Dell's obviously talking about that. How are the vendors doing in general? And we'd love to hear specifically Dell Nutanix. >> We've had the luxury of having exceptionally good business partners. The example I'd like to give is, about four months into this project we realized that we were treated Nutanix as a traditional three-tier architecture. We were sending a lot of traffic more south. When we did the analysis we asked the question, a little cattywampus, it was how do we straighten this out? And so we posed a question on a Tuesday about how do we fix this, how do we drive the network back into the fabric? By Thursday we were on a phone call with VMWare. By the following Monday we had two engineers on site with a local partner with NSX Ninja. And we spent the next two months, with about different iterations of how to re-engineer the solution and really look at the full software-defined data center, not just software-defined storage and compute. It is really how do we then evolve this entire solution building upon Nutanix and then layering upon on top of that the VMWare solutions that kind of took us to that next level. >> Yeah and I think the key term in there is business partner. You know, it sounds a little corny to say, but we don't look at them as just vendors anymore. When we choose a technology or direction or an architecture, that is the direction we go for the entire state for that consolidated IT model. So, we don't just need a vendor. We need someone that has a vested interest in seeing us succeed with the technology, and that's what we've gotten out of Nutanix, out of Dell, and they've been willing to, you know, if there's an issue, they put the experts on site, it's not just we'll get some people on a call. They're going to be there next week, we're going to work with you guys and make it work. And it's been absolutely key in making this whole thing go. >> And as a CTO one of the challenges that we have is, as Derek has executed his cloud vision, is how do we take that and use it as an enabler, an accelerant to how we look at our service design, service architecture, how do we cloud optimize this? So as we're talking about CICD and all these little buzzwords that are out there, is how can we use this infrastructure to be that platform that kind of drives that from kind of a grass root, foundation up, whereas sometimes it's more of a pop down approach, we're taking somewhat of an opposite. And now we're in that position where we can now answer the question of now what, what do we do with it now? >> So sounds like you guys are a mixed VMWare, Nutanix hardware, I mean software, Dell hardware shop, foundation you've built the software-defined data center foundation, something that we've looked at for the past 10 years in IT to try and achieve, which is a precursor, or the foundation, to cloud. Nutanix has made a lot of cloud announcements. How does Nutanix's cloud announcements, your partnership with Dell match with what you guys plan when it comes to cloud? >> That's a perfect lead in for us. So you're absolutely right. We have had an active thought in our head that we need to move toward SDDC, software-defined data center is what we wanted to be at. Now that we've achieved it the next step for us is to say hey, whether it's an AWS or whomever, an Azure type thing, they are essentially an SDDC as well. How do we move workloads seamlessly up and down in a secure fashion? So the way we architected things in our SDDC, we have a lot of customers. We can't have lateral movement. So everything's microsegmentation across the board. What we've been pursuing is a way to move VM workloads essentially seamlessly up to the cloud and back down and have those microsegmentation rules follow whether it goes up or back down. That's kind of the zen state for us. It's been an interesting conference for us, because we've seen some competitors to that model. Some of the things Nutanix is rolling out, we're going to have to go back and take a very serious look at on that roadmap to see how it plays out. But, suddenly multicloud, if we can get to that state we don't care what cloud it's in. We don't have to learn separate stacks for different providers. That is a huge gap for us right now. We have highly available environment between two data centers where we run two setups active active that are load balanced. So the piece we're missing now is really an offsite DR that has that complete integration. So the idea that we could see a hurricane out in the golf, and 36, 48 hours away, and know that we might be having some issues. Being able to shift workloads up to the cloud, that's perfect for us. And you know, then cost comes into play. All that kind of stuff that we might have savings, economy of scale, all plays in perfectly for us. So we are super excited about where that's going and some of the technologies coming up are going to be things we're going to be evaluating very carefully over the next year. >> At the end of the day it's all about our constituents. We have to take data, turn it into information that they can consume at the pace that they want to. Whether it be traditional compute in a desktop or mobile or anywhere in between. It was our job to make sure that these services are available and usable when they need it, especially in the time of a disaster or just in day-to-day life. So that's the challenge that we have when delivering services to our citizens and constituents. >> All right, well Mike and Derek, really appreciate you sharing us the journey you've been on, how you're helping the citizens here in the great state of Louisiana. For Keith Townsend, I'm Stu Miniman. Thanks so much for watching our program. It's been a great two days here. Be sure to check out theCUBE.net for all of our programming. Thanks Nutanix and the whole crew here, and thank you for watching theCUBE. >> Thank you.
SUMMARY :
brought to you by Nutanix. We have the great state of Louisiana here with us, And we have the purview of the executive branch, but what do you all have to get your arms around? Sure, so we had, you know, there's often a joke and then we also use a number of cloud services So obviously just like every other state in the union, What are some of the challenges as you guys that we had over the last few years and kind of that cultural shift has really been and build it in a way that we can expand and we were actually going down the road of The procurement process, all the things that we have to do, How are the vendors doing overall, By the following Monday we had two engineers on site or an architecture, that is the direction we go And as a CTO one of the challenges that we have is, So sounds like you guys are a mixed VMWare, So the idea that we could see a hurricane out in the golf, So that's the challenge that we have Thanks Nutanix and the whole crew here,
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Pat Wadors, ServiceNow & Patricia Tourigny, Magellan Health | ServiceNow Knowledge18
(techno music) >> Narrator: Live from Las Vegas, it's the Cube. Covering Service Now Knowledge 2018. Brought to you by Service Now. >> Welcome back to the Cube's coverage of Service Now Knowledge 18 here in Las Vegas, Nevada. I'm your host Rebecca Knight. I'm joined by Pat Wadors. She is the Chief Talent Officer of Service Now, and Pat Tourigney who is the Senior Vice President HR Global Shared Services at Magellan Health. Pat and Pat, thanks so much for coming on the show. >> Pat Wadors: Thank you for having us. We're excited. >> Pat Tigourney: It's so great to be here Rebecca, thank you. >> Rebecca: Well you were both on the main stage this morning talking about Magellan's, Magellan Health Service Now journey. We started talking about a personal health scare that you had Pat, that really changed the way you think about the world of work, and the employers' role in that. Can you tell our viewers a little more about it? >> Pat: I'd be happy to Rebecca. So, obviously I had been working and had taken some time off to start and raise my family. And when I went back to work I started to feel unwell. And it took about two and a half years for me to finally get an answer. I had searched for many doctors, et cetera. But literally one day I was rushed to a hospital emergency room. After a few days I was diagnosed with stage three B colon cancer, and I was told I had probably about a three percent survival chance. So at that time I faced four years of surgery, and hospitalizations, and chemo and radiation. And of course during all this time you're hearing the probably outcomes and the statistics. But what I truly focused on was my purpose. Which was my family. I had two small children and they needed me, and I needed to be there for them. And so I learned a lot of lessons during that time, and I think anyone who goes through that would say that. But the two things that have really stuck with me is knowing my purpose, and leading with empathy. And it's truly changed how I live, how I work, how I interact with other people. And I think its made a huge difference in what I do every day. >> Rebecca: What Pat was just talking about, the leading with empathy, and the finding your purpose, these are two of the things that are central to the culture at Service Now. Can you describe a little bit more for our viewers, how you view this sort of purpose driven life? >> Pat Wadors: For me and for the company, its as essential to our success as our customers. So I know that purpose driven companies outperform those that don't have a purpose. And I know from a talent brand, and how we recruit and retain talent, if their personal purpose is aligned with the company purpose, not only do you get higher engagement and higher productivity, but that impacts our customers. And they have higher engagement and higher sat. So its great business. It's something that I think creates a competitive differentiation, and its something that our employees seek as an employer. So it's just something that I totally believe in and so does our company. >> Rebecca: So talk a little bit about VERN. First of all, what does VERN stand for? >> Pat: Oh I love VERN. (laughing) >> Pat: Everyone loves VERN. VERN stands for the Virtual Employee Resource Network. And a couple things that I would probably want to say about that is number one, you don't see HR in there at all. Because it's about the employee. This is a way that we are helping our employees fundamentally change how they work and how they engage with us. The reason I think VERN works is our employees voted on that name. So we had a whole campaign to launch VERN, and we offered up four different names, and our employees voted. And when VERN won we created a VERN persona, and everything else that goes with that. And he's just become part of our team. >> Rebecca: So what does VERN do? >> Pat: Well VERN is really sort of the, it took the place of our call center. VERN is a way for our employees to learn information, and answer their basic questions, and learn to work in new ways. And it helps, it's basically a consumerized HR product. If an employee can use google or shop online, they can use VERN. Its' very simple, it's easy and fun. And truly VERN has become a part of our team. So we don't have a call center anymore. We don't use email to answer questions. Our employees know that VERN is there for them twenty four seven. >> Rebecca: They have a question and ask VERN. >> Pat: Exactly. Turn to VERN, that's our motto. >> Rebecca: (laughing) I love it. So Pat, thinking about this empathic way of leading, how would you describe what it really means when it comes to HR? You had said before it really is a competitive differentiator, and that if you're happier at work, you're going to do better at work, you're going to be more energized, you're going to then provide better service to your customers. But how can companies, how can they build a culture of empathy? >> Pat: By listening. I think that when Pat and I were talking over dinner and I talked to my peers, companies that win listen. And they listen to their customers, and they reverse engineer back to their products and services. Great cultures listen. And our employees are going to tell us what's working what's not working. And if we capture those data sets, those moments, we give them the information, we give them the tools. They are joyful, they are more productive, there's a stickiness that I can not only survive there I'll thrive. And so by being empathetic, by seeing where the pain points are, by seeing what gets you joyful, and measuring those things and turning my dials accordingly, that to me is a winning situation. >> Rebecca: We're at a point in time where we have five generations in the workforce all at once. Can you describe what that's like, from your company perspective, from talent management and HR, and how catering to these very different segments of people who their comfort with technology is one thing, but also their phase of life. How do you do that? >> Pat: Well I think, honestly, there's this joyfulness, you used that word and I love that word, of how all these different generations really do work together and help one another. In a way we're all learning from each other. And we're not afraid to learn in front of each other. And that really makes a difference I think. And I think there's just this mutual respect of, we're all there to help each other and do the right thing for the company. And I think the empathy piece of it really comes across because, when you truly understand one another in a way that you care and you're showing that, it's not about age anymore or anything else, it's that we're all people working together trying to do our best work and we're there for each other. To me that's what it means. >> Pat: The only thing I would add to that is, when you look at consumerization of the enterprise, when you look at seamless, what they call frictionless solutions, it demystifies the technology. So if you have the older generation going "I've not used a bot" or "I don't know what machine learning is" I'm like can you type in your question? I can do that. And if I serve you knowledge bites that I can digest that answers my question and move on with my life, that's a gift. And so I think that if you make it more human, if you make it more approachable, then every generation appreciates that. And I also know that from my studies and from working in the valley for a long time in tech, is that every generation wants the same thing. They want to be heard, they want to be appreciated, treated respectfully, and know that they can do their best work. That they matter. >> Rebecca: So Pat you are relatively new to Service Now. You're from LinkedIn. You are so committed to the company you dyed your hair to match the brand identity. What drew you to Service Now? >> Pat: I was a customer of Service Now while at LinkedIn. And my goldilocks is a growth company. I'm a builder. I love creating culture and leading through change. And I also love geeking out with my peeps in HR. And so Service Now has a talent place, they are helping HR solve problems, and I get to geek out with them. I get to meet people like Pat, and have a wonderful dinner and a great conversation. That feeds my soul. I don't think I am unique in the problems I'm facing, and I copy shamelessly. I'm trying to steal VERN from her. (Pat laughing) I think that's awesome, I want a VERN button. >> Pat: I'm going to get you one. >> Pat: And then the added sauce for me where I fell in love, is when John Donahoe became the CEO and wanted my partnership to build an enduring high performing healthy company. And I'm like, sign me up. >> Rebecca: Talking about the culture of Service Now and Magellan Health, culture is so hard. It's just one of those things that, or maybe its not, maybe I'm making it out to be, but when you have large companies dispersed employees, i'ts sort of hard to always stay on message and to have everyone pulling in the same direction. How do you do it? What would you say you do at Magellan? I'm interested in how you do it at Service Now too. >> Pat: Want to go first? >> Pat: I'll take a stab. So, you got to think about where you're going. So what's your purpose? I'm going back to purpose. How do you serve the customer? What are those four key milestones that matter? And repeat, and I say rinse, and then repeat. So everyone hears it. You know the top five goals in the company. And we talk about it all hands, we refer to them in our internal portal, we talk about them, we measure them. We tell the employees this is what we wanted to do, this is what we did or didn't do. This is what we do next. And we're as transparent as we possibly can be. And the magic comes when every employee can look up and say I made that goal happen. And when they start seeing those dots connect, they can't wait to connect more dots. And that's when the journey starts accelerating. That's when you get more flywheel going in the organization where what I do is actually impacting profit, impacting customer success, impacting joy. >> Rebecca: And taking some ownership of it. >> Pat: I agree. I think that when everyone sort of shares in that purpose, and they understand what they do, how it affects that, it makes a huge difference. But I also think as an organization from a leadership perspective, if you model the behavior that you're seeking, and you set your expectations really high for that, and that in a very sort of respectful way when you see things that aren't right you say something about it, the culture does start to shift. And you start to build this feeling of we're there, we're together, we have each other's backs, we treat each other with dignity and respect, and honesty and openness, and you can really start to just shift it almost organically. >> Rebecca: Pat Tourigney, Pat Wadors, thanks so much for coming on the Cube. It was a great conversation. >> Pat: Oh thank you Rebecca. It's been great. >> Pat: Thank you for having us. >> Rebecca: We'll have more with the Cube's live coverage of Service Now just after this. (techno music)
SUMMARY :
Brought to you by Service Now. Pat and Pat, thanks so much Pat Wadors: Thank you for to be here Rebecca, thank you. and the employers' role in that. and I needed to be there for them. and the finding your purpose, and its something that our employees Rebecca: So talk a Pat: Oh I love VERN. and everything else that goes with that. and learn to work in new ways. Rebecca: They have a Turn to and that if you're happier at work, and they reverse engineer back to and how catering to these and do the right thing for the company. And I also know that Rebecca: So Pat you are and I get to geek out with them. and wanted my partnership to build an but when you have large And the magic comes when Rebecca: And taking and you set your expectations thanks so much for coming on the Cube. Pat: Oh thank you Rebecca: We'll have more
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>> Announcer: Live from Las Vegas, it's theCUBE, covering Dell Technologies World 2018. Brought to you by Dell EMC and it's ecosystem partners. >> Welcome back to Las Vegas everybody. You're watching theCUBE, the leader in live tech coverage and this is day three of our coverage of the inaugural Dell Technologies World. We're in the home stretch. Stu Miniman and Dave Vellante joining you, with Alison Dew, the newly minted CMO of Dell. Great to see you, thanks for coming on. >> Thanks for having me, good to be here. >> So, you've been with Dell for a long time. >> 10 years >> You know the drill, you know the culture. But, 23 days as CMO? >> Yes >> Well congratulations. You were on stage today, awesome show. >> Thank you, I couldn't be more delighted. Great experience for me personally. Great show for our customers. >> Yeah, I'll bet. I mean, and you brought in some outside speakers this year, which has not been typical of this show, at least the legacy EMC world, and certainly Dell World did that. >> Stu: Dell World did, definitely. >> Alison: Dell World did do it more, you know. >> Yep, Bill Clinton, we saw some other amazing speakers. >> Elon Musk >> Elon Musk, I remember the year Elon came. >> So that's good, and you got to interview Ashton Kutcher >> Yeah >> Which was quite amazing. He's an unbelievable-- people don't know, he's an investor, he's kind of a geek. >> Alison: Yep >> Even though he's, you know >> An engineer by training? >> Right, so what'd you think of his discussion? >> I mean, I thought it was fantastic and, as you said, I think people don't quite realize how involved in technology he actually is. And also, how well and successful his businesses have been. And then, equally important, the work that he's doing with his foundation and the way he's using technology for really important human causes. I don't think he gets enough credit for that, so it was great to sit on stage and have that conversation. It was super fun. >> Yeah, cause we know him from That 70's Show. >> I know, I like That 70's Show. >> And he's a goofball, and he comes across He's a great actor, lot of fun. >> Yeah, there was one of the lines I actually really loved from the presentation. It's that he looks for companies that have counter-intuitive thesis because if you're doing something that everybody else is, then chances are somebody is going to catch you and everything else like that. You also had to talk about geeks. You know, John Rose and Ray O'Farrell, up there. Share a little bit about some commonalities you saw between these speakers, and some of the unconventional things they're doing. >> So, I completely agree. I love the point of talking, there's so much hype in the space. And that's why I think that line is so important. And so, the big commonality that we're really seeing and talking about this year in particular is we've been talking for years about data as the rocket fuel of the economy and of business transformation, and now we're really talking about data combined with those emerging technologies. So, things like AI, IOT, Blockchain, which are really taking that data and unlocking the business value because for years, there's been this hype about big data, but I don't think the reality has quite been there. And now as those technologies catch up, we're really starting to see some practical applications and use cases and that's why I thought, in particular, John Rose's section on AI and how we're seeing some of those really emerging practical applications was so interesting and fun and tied really well to Ashton's talk track. >> You know, that's a good point. I mean, I feel like we started covering the big data trend really early on. And I feel like big data was like the warm up. It's cheaper now to collect all this data. Now that we have all this data, we're going to apply machine intelligence to that data. We're going to scale it, with cloud economics and that's really what's going to drive value and innovation. What are your thoughts on that? >> Absolutely. We talked this morning on the stage even about some of the companies, large and small, who are really doing that. I think one of the examples that's really interesting Wal-Mart using Blockchain technology to decrease the amount of time from seven days to mere seconds that it takes them to identify the source of food contamination. Really interesting things where, a couple of years ago even, frankly even 18, 20 months ago, that would have been a promise, but maybe not a reality. And so that's what I think is really exciting. Finally. >> It's something that's actually resonated with me this week. We've talked for my entire career, there's the journeys. And it was like, a lot of times it's the journey of the technology. A couple of years ago, digital transformation was "Okay, is it real? Isn't it?" Every customer I talk to, they understand making it real as you said in the keynote, where they're going. What kind of feedback are you getting from people at the show? >> So one of the things I talked about briefly on Monday, but I think is really important, is this promise and the hope and the optimism of digital transformation. And yet also, the fear behind it as well. Through some of the work that we've done in our own research for Realizing 2030, we're really seeing that about 50% of our respondents say they believe in the power of the human machine partnership, which means that 50% don't. And all of the data questions are really divided and polarizing like that. And as a lifelong researcher, that's really interesting to me because it says that there's something going on there. And yet, at the same time, we're seeing over 85% of the respondents that we talk to who say they're committed to becoming a software defined company in five years. So this idea of "I know what I want to do "I know what it means to transform an industry, "And yet, I'm still not really sure that's going to "do me or my business good. "I'm not really sure what that means for "myself or my employees, getting really practical. "Obviously about the technologies, "that's what we do, "but the examples of how people can do "that better from a business perspective." That's a lot of the customer conversation that I've had over this week. >> But you're an optimist. You believe the world would be a better place as a result of machines. >> Yes, I do and we do. Are you an optimist? >> I am, I think there's some obviously some challenges but there's no question. Stu and I talk about this all the time, on theCUBE, that machines have always replaced humans throughout history. For the first time now, it's on cognitive functions, but the gap is creativity and eduction. So I am an optimist if we invest in the right places and I think there's an opportunity for public policy to really get involved. Leadership from companies like yours and others, politicians, of course. >> Dave and I did an event a couple of years ago with Andy McAfee and Erik Brynjolfssono, you had Andy here. Cause it's really it's not just the technology, it's technology and people, and those have to go together. And Dave said, there's policy and there's so many different layers of this that have to go into it. >> And I think we're just starting to really enter into that. On that optimist versus the robots are coming to get us spectrum, obviously there are things that we have to look out for as leaders, as society, as businesses. And yet, even if you look at the example from this morning, where Ashton is talking about minimizing child sexual trafficking and using AI and machine learning to one, arrest many of the perpetrators of these crimes, as well as free thousands of children from sexual slavery. I mean, you hear those examples, and it's hard not to be an optimist. >> I want to ask you about your digital transformation and how that's being led inside of Dell, what it means to you. >> So, obviously, we are two huge companies that came together. So when we talk about digital transformation, and what that really means, have a very different way of operating and working with IT and being in a different business model, we know that really well. One of the things that's really interesting for me personally, as the CMO for 23 days, is one of the biggest line items in my budget is actually for our own marketing digital transformation. Obviously, Dell in particular, had many, many years starting in the consumer and small business, and then growing up to larger businesses, of direct marketing. And we have a great relationship with our customers, but we also have all of these legacy systems and processes and way that work is done and now as we come together with EMC and we start to build Dell Technologies, the idea of what a data driven marketing engine can be, that possibility is something that we're also working to build ourselves. And so, everything from "how do we build our "own data lake to actually bring all "of these sources of data together? "How do we clean up that data?" is something that I'm pretty deeply into myself. There's a lot of that work going on across the company, and then for me personally, as CMO. Big initiative. >> So it's customer experience as part of it, but it's also a new way to work. >> Exactly. And it sounds so trite in a way to say the technology is the easy part, but the really hard part begins when the technology is finished. And I really believe that because if I look at my own team and my own teams experience, there's so many places where they've been doing marketing one way for a very long time. And if you come in and you ask them to do something differently, that's actually a pretty hard thing to do. And the only way to unlock the power of the data and the power of the new technologies, is to actually change how work is done. And I know it's an analogy that's overused, but if you'd ask the taxi dispatch "Are you important to the taxi business?" they would have said "Yes, of course "I'm the most important person in this chain." That's how taxis get to customers. And then along comes Uber, and suddenly you don't need that. You have to really think differently about that and as a leader, that's exciting and also really hard. >> I don't know if you've ever heard Sanjay Poonen talk about change, he says there's three reactions to change. Either run from it, fight it, or you embrace it. That's it. And the third is the only way to go. >> It's the only way. >> How about messaging? I'm sensing different messaging. Much more around the business, maybe a little bit less on the products. Plenty of product stuff here, but the high level stuff. What's your philosophy on messaging? >> I used to say "I'm a person that "believes in shades of gray" and about seven years ago I had to stop saying that. (laughs) >> But the truth is, I am a person who believes in shades of gray and I almost always believe that the answer is somewhere in the middle. So you get in marketing into these debates about is it these thought leadership and high level conversations or is it about product messaging and selling what's on the truck? And the honest truth is, you have to do both. You have to set a vision, you have to build the brand, you have to talk about the business and where we're going from a business perspective. As we talk about things like 2030, that's a really lean into the future conversation. At the same time, we also want to sell you some PCs and some servers and some storage and some data protection, so we need to do that well, too. And frankly, we need to get better as a marketing machine, as a company, and as salespeople, in terms of talking to customers. The right conversation at the right time. Again, sounds like marketing 101, but it's actually quite hard to do. When do you want to have a connected cities conversation? When do you want to just talk about how to modernize your data center? >> It's true, we always talk about above the line and below the line. When you're talking above the line, you might be speaking one language and below the line, another language. You try to mix the two, it doesn't work. >> Right, exactly. >> You have to target the appropriate audience. >> The conversation one of the women on my team started talking about this and I thought it really made sense was macro-conversations, micro-conversations. So to get out of this advertising vernacular, and I grew up in the ad industry, sort of above the line, below the line, and those were always two departments who didn't even talk to each other and usually hated each other. Instead of above the line, below the line, what's the macro-conversation? How are we talking about Realizing 2030? How are we talking about digital transformation? And then what are some of those micro-conversations where I'm going to talk to you about what are the personas that you have in your work force? And lets talk about some in user compute technology together with something really simple, like a monitor, that's going to help them be more productive. Those things don't have to fight with each other, you just have to be honest about when you're doing each one. >> Target them in the right place. >> Alison, we're getting to the end of the show here. >> Yeah, I can talk a lot. >> First of all, New Media Row here gave us the biggest set. We've done this show for nine years, we're super excited. The therapy dogs next door-- >> I love the therapy dogs. >> Are really fun to see, but every once in a while, give a little bit of color in the background here. For people that didn't get to come and experience in person, I know the sessions are online, but give us some of the flavors and some of the fun things you've seen and what would we expect from you in the future? >> I think this is just one of the most fun shows. I mean, obviously it's important for us to set our vision, it's important for people to come into the hands on labs, and the training, and the breakouts, and to learn and to engage. But, you see things like the beanbags and sitting out there, the therapy dogs, and my team does want me to say that every year we get new beanbag covers so we don't recycle those. And then really experience the fun in the Solutions Expo and talking about the way that we're taking trash, plastic trash, out of oceans and making art with it, so we can talk about our sustainable supply chain in an interesting way. I think, I'm biased, but I think this is the best show in terms of actual education and vision, but also some fun. Hopefully you guys think so too. >> Well, Sting. >> And Walk the Moon. Do you guys know who Walk the Moon is? >> Yes. >> I don't. >> Me neither. (laughs) >> Come on and dance with me. >> Oh, okay. Alright, great. >> I'm a child of the 80's, what can I say? >> Alright, so 23 days on the job, what should we be watching from you, your team, and Dell? >> So, as we talked about in the very beginning, this is our first Dell Technologies World, so obviously, we have just gone through some of the biggest integration of large tech companies in the history. And we're really proud of how successful that integration has been, and yet we also still have so much work to do around telling that integrated story. Yes, Dell and Dell EMC, but also together with VM, we're a pivotal RSA Secureworks, and the extend is strategically aligned businesses. And so that's what you'll see us really lean into is "How do we tell "that story more effectively?" We're continuing to invest in the brand, so a lot of the work that you've seen with Jeffrey Wright and those TV spots we launched again in March, and just making sure that people understand what the Dell Technologies family actually is. >> So really a more integrated story. But something that Dell always tried to tell, but you didn't have the portfolio to tell it. Now you do, so that's got to be exciting for you. >> It is exciting, yeah. >> Great. Alison, thanks so much for coming on theCUBE. It was great to have you. >> My pleasure. Cheers, thanks. >> Alright, keep it right there, buddy. We'll be back with our next guest. You're watching theCUBE live from Dell Technologies World in Vegas. We'll be right back.
SUMMARY :
Brought to you by Dell EMC of our coverage of the inaugural You know the drill, you know the culture. You were on stage today, awesome show. Great experience for me personally. I mean, and you brought in some outside speakers he's an investor, he's kind of a geek. as you said, I think people don't quite realize And he's a goofball, and he comes across really loved from the presentation. And so, the big commonality that we're really And I feel like big data was like about some of the companies, large and small, in the keynote, where they're going. And all of the data questions are You believe the world would be I do and we do. but the gap is creativity and eduction. it's not just the technology, many of the perpetrators of these crimes, I want to ask you about your digital One of the things that's really interesting but it's also a new way to work. And the only way to unlock the power of the data And the third is the only way to go. but the high level stuff. and about seven years ago I had And the honest truth is, you have to do both. the line and below the line. Instead of above the line, below the line, the biggest set. I know the sessions are online, but and the training, and the breakouts, And Walk the Moon. (laughs) Alright, great. and the extend is strategically aligned businesses. you didn't have the portfolio to tell it. It was great to have you. We'll be back with our next guest.
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Jennifer Cabalquinto & Mike Sutcliff | Accenture International Women's Day 2018
>> Hey welcome back everybody. Jeff Frick here with the Cube. We're at the Hotel Nikko in downtown San Francisco, International Women's Day. Accenture's putting on a big event today. It's called Getting to Equal, about 400 executives. Packed house in the little conference area. So we're excited to sit down with some of the leadership team and talk about some interesting research that Accenture's come out with. And also just talk to some terrific guests and we're excited by our first guest. She's Jennifer Cabalquinto. She's the CFO of the Golden State Warriors. Jennifer, great to see you. >> Thank you. >> I'm joined by Mike Sutcliff. He's a group chief executive for Accenture Digital. Great to see you Mike. >> Great to be hear. >> Alright, so let's just jump in to it. We're a little short on time and got a packed schedule. But I want to jump in, Jennifer with you, in culture. >> Yeah. >> Talk about the culture at the Golden State Warriors. I think it's such a phenomenal example that we can all see. We can't see in lot's of other companies, but with a professional sports franchise, we can see what a top down culture change when the change of management happened. When, when >> Sure >> Joe and Peter came in and how they've been able to change the culture, but then also drive that through all the way down to the greatest operations. >> Yeah, no we've really been fortunate. Our ownership group has been so supportive. And they really want us to succeed and they gave us all the resources to do it. And they've really brought that sort of Silicon Valley leadership style and fast fail and really make us push to be innovative and to grow. I love, you know, they brought on Bob Myers as our general manager for the basketball operation side. And he always says that he recruits for character first. And then tall 'cause you can't teach tall, but character is really something that I think, we as part of the whole organization really focuses on is that, you know, it's that are we all willing to be a team and have that sort of drive together. >> Right. >> And Joe and Peter embody that from the top down and I think it really permeates. And it's really our desire to be innovative and to drive this business, both on the basketball side and on the business side. >> And what's interesting, I mean they're good guys, but they're not doing it to be good guys, they're doing it to win. I mean, it's a competitive business >> Sure. >> that we can all watch the winners and losers. It's a business decision for better business. >> That's exactly right and you know, they really do want to win. They're competitive and every single person I think in the organization is competitive. But I think they want to win in the right way. And I think you can see it in the way that we approach both the basketball side and the business side really wanting to, you know, I think do, I think the community the best that we can. I mean, we really want to reflect our community, as well as our business partners and really succeed together >> Right. So Mike, you're out on the field. You talk to a lot of customers. I mean, do people get it? Do people get that diversity of opinions, points of views, teams, isn't just to do the right thing? It's actually to drive better business outcomes? >> I think they do. I mean one of the reasons we were attracted to work with the Warriors is they were looking not just to change their game, but to change the community that they were involved in. We see lot's of clients with the same aspiration. They're trying to figure out how to improve the way the world works and lives. And so if you want improve the way the world works and lives, you got to have diversity of thought. People with different educational backgrounds, cultural backgrounds, different experiences who can look at those really tough problems and say there's a better way. >> Right. >> And that's where we think diversity brings powers. That diversity of experience allowing you to come up with new solutions. >> So Jennifer, just from a woman's perspective being in obviously a very male dominated world. Of course, a lot of the tech companies around here are as well, how are you attracted to this industry? You know, kind of, what was your experience going in knowing that you were going to be in the minority in terms of the executives around the table? >> Right. >> And how did you overcome? >> You know, I am one of five children. I have four brothers, two older, two younger. And raised in Brooklyn. I'd like to think that I've been competing with boys my entire life. And I think my environment sort of gave me a tough skin. So I don't look at it in that lens. I didn't approach the job thinking I'm the only woman, or I'm one of a handful of women. I really approached the job saying I can make a difference in this organization and to help drive and bring a new perspective to the sports industry. It was my first sports job I was out of entertainment space and not really the sports entertainment world. And I really thought that I could bring a different perspective. And I think, you know, the ownership saw the same thing. And that's why I came aboard. And I think not filtering anything that I do with the lens of I'm a woman. >> Right. >> I think really makes a difference in terms of how I approach the role and then how other people, you know, sort of receive that. >> Right. So that said, for the gals that weren't raised in Brooklyn with four brothers. Fighting for food at the table probably since you were a little kid. You know, what advice would you give them? I mean, is it just, there's some really great advice coming out of the panel in terms of just focus on data, focus on results, you know, raise your hand. What advice would you give to, you know, say young women, say a junior in college, a senior in college, first years out, who want to get started, and are attracted to a traditionally male dominated space? >> Sure, I think one, don't self edit. Like know you can succeed in that space. Just because it's male dominated doesn't mean that it needs to always be that way. I also think you have to be great at what you do. I mean it's performance first, I think in any industry. And so, when you can actually have the confidence in your abilities, I think it starts to show through and then people, you know, I think respond to that. So I think perform really, really well. Be deliberate about what you want. Ask for what you want. Set your rules. You know, I think all of that is really important. Find your voice. >> Alright, well we could go on and on, and I want to continue this later at the San Antonio game this evening, but we'll make that work out, but we got to drop. So I'll leave it there. Jennifer, Mike, thanks for >> See you there. >> taking a few minutes. >> Great to see you today. >> Alright, I'm Jeff Frick, we're at the Accenture International Women's Day celebration in downtown San Francisco. Thanks for watching. (upbeat music)
SUMMARY :
And also just talk to some terrific guests Great to see you Mike. But I want to jump in, Jennifer with you, in culture. I think it's such a phenomenal example that we can all see. been able to change the culture, I love, you know, they brought on Bob Myers as And Joe and Peter embody that from the top down but they're not doing it to be good guys, that we can all watch the winners and losers. And I think you can see it in the way I mean, do people get it? I mean one of the reasons we were attracted you to come up with new solutions. in knowing that you were going to be in the minority And I think, you know, the ownership saw the same thing. I think really makes a difference in terms So that said, for the gals that weren't raised I also think you have to be great at what you do. the San Antonio game this evening, celebration in downtown San Francisco.
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Ajit George, Shanti Bhavan Children's Project - CloudNOW Awards 2017
(clicking) >> I am Lisa Martin with theCUBE on the ground at Google for the sixth annual Top Women in Cloud Awards event with CloudNOW. Very excited to be joined by next guest, Ajit George, the Managing Director of the Shanti Bhavan Children's Project. Welcome to the cube. >> Hi Lisa, it's great to be here. >> So, I was so excited to have a chat with you. The Shanti Bhavan Children's Project is incredible. Tell us about it, 20 years now, tell us about what that is, how your family is involved, and what it's helping to do for these young children in Bangelore, India? >> Sure, Shanti Bhavan was founded by my father, Dr. Abraham George, 20 years ago, and its goal is to educate children, but also to eliminate poverty and change entire systems of communities and governments. It, the way we achieve this goal is by taking children from the poorest communities in India, giving them a high-quality, boarding school education, from the age of four until they graduate from 12th grade, and we cover everything during that period. So, their healthcare, their clothing, their boarding, food, all of that is taken care of, as well as training in soft skills. So, debate, interpersonal and interview skills, leadership skills, and the whole nine yards. While we educate them in the highest curriculum, the toughest standards in India, and then we pay for their entire college degree afterwards. So, that is 17 years of a high-quality intervention per child from the very first day they start school to the very first day of work. >> That's incredible and you have a very high college graduation rate, isn't that correct? Yeah, that is correct. If they pass out of high school, their high school graduation rate is about 77%, University graduation rate is 98% and so- >> Wow, 98%. >> It's been pretty exciting and they go on from those, from college to multinational companies, like Mercedes-Benz or Amazon, or Goldman Sachs. So, our kids who come from urban slums or rural villages with huts with no running water or electricity are making more in their first five years, than their parents make in a lifetime. So, it's a quantum leap, it is a genuine breaking the cycle of poverty, and the ability to become both, either the primary or the sole breadwinner for their entire family. So, four or five other people are dependent on them at the age of 21. >> And that's incredible, I was watching, there is a Daughters of Destiny, Netflix Original Docuseries. I saw the trailer of it today, incredibly profound. One of the things that, a couple things that really stuck out to me was, this is taking children from poverty to possibility. And also, one of the young girls that was in that trailer had said, "I've got a lot to lose, it's now or never for me." These children seem to really understand the gravity of their situation, and genuinely recognize the opportunity that they've been given. >> Yeah, sure, every single Shanti Bhavan child understands, it's almost like they've won the lottery, they've had an opportunity that no one in their families have ever had, but no one from their communities have had either. They're the first person in their family for generations to get any kind of education, and so that's a powerful opportunity, but it's also an important obligation or duty to give back to the family and to make an impact for the community because they are given this golden ticket, and they want to do something important with it. If they don't succeed, nobody gives them a second chance. Kids from that kind of community, and from that kind of circumstance, don't really have a second chance if they aren't able to make the most of it. So when you hear those stories they're talking about, "hey, I really need to seize this moment." "I need to seize this opportunity," maybe, "my mother's back at home and she needs my help," maybe, "my father's bedridden." A lot of these kids have generational debt, so they owe money to, like a money lender, which is an illegal lender and that's a couple generations back. Maybe their grandparents have taken out this debt, so they have all these debts piled up on them, and they have healthcare bills piled up on them, and they've got housing and all of these other problems. Then they have to educate their younger brothers and sisters and pay for dowries for their family members. It's the enormous responsibilities on one child is huge, but they're able to step up because they're given this powerful education, this great opportunity, so there's a lot of pressure, but there's also this great knowledge that they have a horizon out there that no one in their family has ever had before. >> That's incredible and so in the last couple minutes here, CloudNOW, where we are at the awards event tonight, they've teamed up with Intel, Apcera, and CB Technologies, to launch the Daughters of Destiny STEM scholarship. So exciting, what's that going to mean for current students, at Shanti Bhavan or the future students? >> Right, I think I'm really, really thankful, first of all to CB Technologies, Intel, and Apcera, as well as the CloudNOW. This scholarship is the first of its kind within our program and it allows these three young ladies, who are the first recipients of the scholarship, and hopefully there'll be many more recipients, but these young ladies to get a high-quality college education in the STEM fields, which is their passion. So, it opens doors for them for their education, potentially for internships and maybe job opportunities after college. So, I think this is a gateway to something bright and beautiful. >> Oh, I love that and how you described it for these children as a quantum leap, is as profound as what's been shown in the Netflix series. So, Ajit, thank you so much for joining. I wish we had more time, this is such an incredible project that you're working on, but we thank you for stopping by theCUBE and sharing it with us. >> Thank you so much, Lisa, it's great to be here. >> We want to thank you for watching theCUBE. I'm Lisa Martin on the ground at Google for the CloudNOW, Top Women in Technology Awards. Bye for now. (closing music)
SUMMARY :
at Google for the sixth annual So, I was so excited to have a chat with you. they start school to the very first day of work. Yeah, that is correct. and the ability to become both, the gravity of their situation, for the community because they are given this golden ticket, That's incredible and so in the last couple minutes here, So, I think this is a gateway to and sharing it with us. for the CloudNOW, Top Women in Technology Awards.
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