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David Solo, Special Olympics Northern California & Rob Salmon, Cohesity | VMworld 2019


 

>> live from San Francisco, celebrating 10 years of high tech coverage. It's the Cube covering Veum World 2019. Brought to you by VM Wear and its ecosystem partners. >> Welcome back, everyone. Live Cube Live coverage here in San Francisco, California in the Mosconi North lobby for V Emerald 2019 tapes our 10th year covering with some great guest, three days of wall to wall coverage that an amazing signorina Rob Salmon is the president CEO of Cohee City. Dave Solo, presidency of the Special Olympics Northern California. Thanks for coming on. Thanks to spend the time. Thanks for doing. Set the table. Why we hear what we're talking about. What's the purpose here? I know I wouldn't want to set it up more >> absolutely. I've been involved with Special Olympics for several years now. When former company Netapp Matt Thompson over Adobe called me and said, We got this high tech challenge. Dr. We've never sold it out. We want it. We want to get more companies involved when you help out, and the answer was absolutely and that led to David asking me to be on the board. So I've been involved with David, the team for an awful long time. KOHI City When I joined the company, some of the folks there knew of my involvement is that we'd like to start participating as well, which has led to what we're doing here. Of'em World >> David Talk about Special Olympics Quick mission for sure about the folks that might not given update for sure. >> John Yes, so Special Olympics enriches the lives of children, adults with intellectual disabilities. And so, in our footprint in Northern California, with serve over 23,000 athletes ages eight above and it's it's it's interesting. There's a lot of misconceptions people will say to me That's a great event that you do every four years And they referring the World Games, especially its world games, where athletes from all over the world get a common compete. But locally, through the state programs, hundreds of competitions happen a each and every year. And in Northern California we have, or 400 competitions per year in 14 different sports provides a wonderful ray of opportunities for athletes to demonstrate what what they can do when given the opportunity >> to do so. Talk about the community of aspect of it because I think What's interesting is what's on TV and what's in the mainstream press. It's more reach people that can be known for that. But it's deeper than as you point out. But >> talk about the >> community aspect. Got volunteers, people, individuals involved. Yeah, but the makeup of the network? No, it's an incredible network. >> I think we've really brought in an expanded our reach over the last 10 years. It used to be well known primarily for sports programming. So now we have inclusive education and health programs. We're able to bring together people with and without intellectual disabilities through those mediums. So if I'd resource is to schools an education and they run special Olympics programming during the school day. So educators wanna have us because we're improving school clamp campuses, reducing bowling, enhancing social emotional learning. And so the work that we're doing is so so critical with that community, then the area health. We have inclusive health. So now we got health and medical crypt, uh, professionals that are now providing health screenings for athletes. So some of the younger volunteers that we get that they're wanting to make a career in the medical field they're exposed to our population, right? And so they learn more about their specific health needs. So it's really about changing people's attitudes. And so this community of supporters volunteers, health professionals, education, Really. Our goal is to change people's attitudes fundamentally worldwide about people with intellectual disabilities and really kind of produce inclusive mindsets. We call it really promote understanding. >> If I may. I I really think what David and his team does and folks of sports Special Olympics around the world, they're dying. Changing attitudes are changing lives, lives of the athletes, lives of the people that work with the athletes, lives of the families. If you go to these events and there's something special, there are a lot of fun. And when you get involved and you see it, it definitely touches your heart and you realize we could be doing so much more. We could be doing so much more. >> I'm struck by you. Clearly, there's a passion thread here, and your background is really interesting to me because you're an accomplished student athlete, played football on and then you started a career in nonprofit right away, and now Rob, he was somebody would have hired right. It was like the perfect student athlete. You know, magna cum laude. I want this guy on my team. My hard driving says that How did you get into this? And described the background of that >> know for sure, sewn with nonprofit work. I kind of kind of started out. I was working for Boys and Girls Clubs of America, raising money to go to grad school, to be a history professor of all things. And so I got involved with the Boys and Girls Club with special Olympics. When the opportunity came, what was what was unique about it? It's really about how sports changes people's lives. Growing up, my father left me when I was 10 years old, and so was my coaches. They were the ones that really wasn't for them. I don't know that I would be here today, so they really took an active role in my life. So I've been very passion. I believe sports is a catalyst for social change, changed my life and provide an opportunity for me to be successful. And so that's what I want to help get back to our after. And it's also so. It's interesting is it's also proves that takes a village, you know, in these experiences changes lives. I think this is the big story, and it points to that. The sports is one element of other things. Health care. So you start getting connected in this is where the magic happens. This is the key. Yeah, some of the stories that wherever just phenomenal. I think society focuses on what our athletes can't do and dwells on the disability. We don't do that. So what? We're passionate about showcasing what they can do and having our volunteer, you know, certified train coaches work with our athletes to really help them get to the next level so they could be successful not only on the field, but off the field. So I mean, I got to get involved. Talk about the virtual. You're in Northern California. That's your territory, your area. But people, how they get involved, they wanna be share some no points of touch. Yeah, for sure. So a couple key points to touch would be number one. We have over 20,000 volunteers in our footprints, so we have a tremendous need for volunteers both globally and here locally, with Special Olympics, Northern California number two is from a donor standpoint. So everything that we do for athletes is completely free. And we're able to do that because the support of our community partners, our corporate partners like, Oh, he city, you know, individual supporters foundations were able to do that because of themselves. You know, either someone could go to the global website Special Olympics dot order come to W w dot s, O N C dot or for Northern California. We're always looking for volunteers, donor's community supporters, and we're also looking for board members, particularly from the tech sector. Senior executives in the tech sector. Justin, you stay channel lies for the people involved that also includes the people who volunteered. I'm sure people that want to make a difference whether you're thinking of senior approach, rather urine or your employees who want to give back so tell about the lives changing impact there because this is a corporate angle here that's not doesn't it's not for profit thing. It's a four good thing. >> Oh, this is for a good thing, and the thing I did to that is, and we touched briefly on Boys and Girls Clubs of America. These are all great organizations. I know Patton is key note. This morning, touched on giving back. This is an opportunity. Well, we're all blessed. We should give back. But the whole notion of getting more involved in touching lives I'll start with my two boys. They went to summer games and U C Davis three or four years ago. Now both of her good runners and they had some other kids on the high school team go with them. They were incredibly impressed. They had a lot of fun. A little banter with the athletes. Newsome, Bath, please. Out there there, Let's talk your heart. The gun goes off for the start, and they're already you get the arms up, curing away, and there's others incredibly talented athletes as well. It's so it just opened your eyes of what is possible. You're the one thing I touch on Is self esteem matters for every one of us, whether you have a disability or not, whether you're young or my age, it matters for someone to tell you that you are good. You are really worthy. Your hard work is paying off. You see these athletes when they finish the race or accomplished something that couldn't be more proud going to these events it will want. You will want to get involved. That's what typically happens. >> It sounds like you do coverages gonna be making its way to these events. Actually, wait, are fully got this part in the NHL MLB, NFL Masters golf tournaments. We have to get a pro circuit going on here way. Wonderful. Yeah. Hey, this is a really great cause. Any final thoughts again, back for people who want to get involved in the North California group. What? What can you offer people? No, I think we offer people a tangible way, especially when we think of the tech sector. And we think of the, you know, the employees and the millennials and hands on way for people to come out to our regional competitions and actually engage with our athletes and volunteer and be hands on and actually see where your money goes. You know, see, see that it's something tangible and you're helping provide that venue for athletes to be successful. One of things I didn't mention that we're really proud of. So we have a way of athletes are college students. We have athletes that are full time employees. Married couples, >> Um, >> and then we have a published poet. But last couple months we have an athlete that passed the bar exam who is now going to be a practicing attorney on. So that's really shows that you know, one of the things that you guys are hitting on here, Rob, I know you guys do a lot with your company. You guys even donating one of your tech sessions for a survey that John Troyer's team did around. Check burnout. People get it and even my kids to go to the high school In a lot of high schools like this now, where people get stressed out of the weirdest things, >> This is the kind >> of thing that getting involved in these community events like this really could help everybody. She allowed a little bit, Really. Take a load off, work with people, see the connection, see the impact. It's a burnout tactic option. It's also a way to relieve some stress. Feel >> good about it. >> The employees of Cohee City, when they came to me and said they want to get more evolved, they didn't do it because of me, they did it because they're excited about working with Special Olympics and they're beaming. Means some of the athletes 11 9 with a bunch of athletes going the baseball game tonight, Hamilton tomorrow night, their families as well. We couldn't be more excited, But I agree with you. You look at all the stresses in our lives, and I think this notion of what you do, who you do with how you give back is really, really important. I think that gives back piece, I think more of us allowing employees to do that, helping our children and school understand truly important the value. Um, is this absolutely >> You guys are making a great point because we've both been involved in youth sports all our lives, and it's kind of become twisted where you've got kids needs and parents needs and the parents trying to meet him in the middle, and that's not the way it should be. Your initiatives, I mean, it underscores what it's really all about. Self esteem, having fun, supporting your teammates and the broader community. >> But they stay well and compete and win two that they're in there. See some of those players. I mean, they're >> hard. I've seen some hard core competition, no doubt. But how well do they start? So >> eight years always started eight. And we have an athlete that's 81 that participates in watching. >> So okay, so appropriate. But the reason I miss it because, you know, having studied this allowed it. It's like 12 years old is the crossover point where people start to get crazy. And if you start before then, in other words Oh, this kid is nine. But he's not that good. Who could tell what a nine year old Michael Jordan got cut from his freshman basketball team? So it just goes to show you. So I think that that again, the values that you guys air promoting our worthy thanks >> me feel better about what we're doing. A cohesive it really does. Thank you for doing this. Being able to put two things I'm really passionate about together. Ah, this is pretty special for me. And I think my it around our founder and the rest of the company. And in David and team, they just do a fantastic job. I just wanna make sure we keep building on it. >> Congratulations. Great to get the word out. Congratulations. All your hard work. Awesome Cube coverage live in San Francisco. We back with more after this short break.

Published Date : Aug 26 2019

SUMMARY :

Brought to you by VM Wear and its ecosystem partners. that an amazing signorina Rob Salmon is the president CEO of Cohee City. KOHI City When I joined the company, some of the folks there knew of my involvement is that we'd like to start John Yes, so Special Olympics enriches the lives of children, adults with intellectual disabilities. Talk about the community of aspect of it because I think What's interesting is what's on TV Yeah, but the makeup of the network? And so the work that we're doing lives of the athletes, lives of the people that work with the athletes, And described the background of that I think this is the big story, and it points to that. The gun goes off for the start, and they're already you get the arms up, And we think of the, you know, the employees and the millennials and hands on way for people to come one of the things that you guys are hitting on here, Rob, I know you guys do a lot with your company. see the connection, see the impact. You look at all the stresses in our lives, and I think this notion of him in the middle, and that's not the way it should be. I mean, they're So And we have an athlete that's 81 that participates in watching. the reason I miss it because, you know, having studied this allowed it. And I think my it around our founder and the rest of the company. Great to get the word out.

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Kenneth Chestnut, Stripe | AWS re:Invent 2021


 

>>Welcome everybody to the cubes live coverage of AWS reinvent 2021. We're here in the main hall. Yes, this is a physical event. It's a hybrid event, probably the industry's most important hybrid event in the year. We're super excited to be here. Of course, last year during the lockdown, reinvent was purely virtual. This year. They go in hybrid 20 plus thousand people. I hear the whisper numbers like 25, 20 7,000 hundreds of thousands of people online. The cubes here, two sets, we've got two remote studios, super excited. I'd like to introduce my co-host David Nicholson. He'll be here all week with us. Uh, John furrier is also here, Lisa Martin for the cubes wall-to-wall coverage. And we're so psyched to start off this session with Kenneth Chestnut. Who's the head of technology partnerships at Stripe. Stripe's an amazing company, Ken. Great to see you. Thanks for coming on. >>Thanks for having me, Dave and David. I greatly appreciate it. How about this? >>Right. Finally live event. We've done a few. We probably done four or five this year, but >>It's good to be back in person. It is. Yeah, absolutely. It's >>A Stripe. I mean, wow. Can a powering the new economy. Tell us a little bit more for those people who may not be familiar with Stripe. They probably use it without even knowing it when they sign it away. Yeah. So tell us about the >>Well, uh, Stripe was founded in 2010 by two brothers, Patrick and John Colson. And really it was from their first business and realizing how hard it was to actually charge for things on online. Um, you had to acquire a relationship with, uh, with a gateway provider to accept payments. You had to acquire a relationship with a, with a acquiring bank. Um, and you had to do that for each and every country that you wanted to service. Uh, so the same way that AWS reduced the barrier in terms of not having to procure, spend millions of dollars on storage, computers, networking, uh, effectively, what we we've done at Stripe is reduce the barriers around economic infrastructure, accepting payments online, >>Use that undifferentiated heavy lifting for payments. So describe Ken, what it was like kind of pre Stripe. You would literally have to install servers, get storage and put, put software on there, get a database. And then what if you had any money left over, you can actually do some business, but, but describe the sort of what the experience is like with Stripe. >>Sure. So, uh, the R R with, with Stripe, we literally talk about seven lines of code. So we, we allow any developer to, um, uh, provide a set of APIs for any developer to accept payments on online. And we do the undifferentiated heavy lifting in terms of accepting payments, accepting those payments, processing them revenue, reporting, and reconciliation, um, all ensuring compliance and security. Um, so it's like you said, uh, taking care of the undifferentiated heavy lifting are around accepting payments online in the enabling >>The enabler. There is the cloud. I mean, it was 2009, 2010. You guys were founded, the cloud was only like three years old. Right. And so you had to really sort of take a chance on leveraging the cloud or maybe early on you just installed it yourself and said, this isn't going to scale. So maybe tell us how you sort of leverage the cloud. >>Sure. Um, so we're a long time, uh, AWS, uh, customer and user, um, uh, back in the early days of, of Stripe in the early days of, of AWS. And we've just grown, uh, with, with AWS and the ecosystem. And it's interesting because a lot of, uh, a lot of the companies that have been built on, on AWS and grown to be successful, they're also Stripe customers as well. So they use Stripe for their economic infrastructure. >>We use Stripe, we run our company on AWS and we use Stripe. It it's true. The integration took like minutes. It was so simple. Hey it, test it, make sure it scales. But so what, what's the stack look like? What is there, is there such thing as a payment stack? What's the technology stuff? >>Sure. So we initially started with payments and being able to accept payments, uh, on online. Uh we've we brought in out our, our, our Stripe product portfolio now to effectively provide economic, uh, infrastructure for the internet. So that could be accepting payments. Uh, it could be setting up marketplaces. So companies like Lyft and Deliveroo, uh, use Stripe to power their marketplaces with their, with their drivers and, and, um, uh, delivers, um, uh, we provide, uh, a product called radar that, uh, that, um, prevents fraud, uh, around, around the globe. Um, based upon the data that we're seeing from our, from our customers, um, we have, uh, issuing and treasury so that companies can provide their users or their merchants with banking services. So loans, uh, issuing credit cards. So we we've really broadened out the product portfolio of Stripe to provide sort of economic infrastructure for the internet. So >>We talked about strike being in the cloud from an infrastructure perspective and how that enables certain things, but that in and of itself, doesn't change the dynamics around sovereignty and governance from country to country. Sure. Uh, I imagine that the global nature of AWS sort of dovetails with your strategy, but how, how do you address that? It's one thing to tell me in Northern California, you can process payments for me, but now globally go across 150 countries. How do you make that work? Yeah, >>Uh, absolutely. So we, we establish relationships, uh, within, within each company country that we operate in we're in about 47, uh, countries, uh, today, um, and that's rapidly expanding so that companies can, can process or accept payments and do, uh, financial transactions within, within, within those countries. So we're in 47 countries today. We, we accept a multitude of different payment, uh, different currencies, different payment types. So the U S is very, uh, credit card focused. But if you go to other, other parts of the globe, it could be a debit cards. It could be, um, uh, wallets, uh, uh, Google pay, Ali pay, uh, others. So really it's, uh, providing sort of the payment methods that users prefer in, in the different countries, uh, and meeting and meeting those users where, where they are. >>Are you out of the box compliant? What integration is required to do that? Uh, what about things like data sovereignty, is that taken care of by the cloud provider or you guys, and where, w w where does, where does AWS end and you guys pick up? Yes, >>We're, we're PCI compliant. Um, we, we leverage AWS as our, as our infrastructure, um, to grow, grow and scale. So, um, one of the things that we're, we're proud of is, uh, through, throughout 2020 and 2021, we've, we've had 11 nines of, uh, of, of, uh, or five nines of uptime, um, even through, um, uh, black Friday and cyber Monday. So providing AWS provides that, that infrastructure, which we built on top of to provide, uh, you know, five nines of uptime for our, for our users. >>You describe in more detail, Kenya, your ecosystem. I mean, you're responsible for tech partnerships. What does that ecosystem, how I paint a picture of it? >>Sure. So, um, uh, a number of users want to be able to use Stripe with, with their other, uh, it infrastructure and, and their business processes. So a customer may start, uh, with a salesperson may start with a quote or order, uh, in, in Salesforce, want to automate the invoicing and billing and payment of that with, with Stripe and then, uh, reconcile re revenue and an ERP solution like SAP or Oracle or NetSuite or into it, um, in the case of, of small, medium businesses. So really, um, what we're focused on is building out that, that ecosystem to allow, uh, um, our, our customers to streamline their business processes, um, and, and integrate Stripe into their existing it infrastructure and, and business processes. >>You mentioned a lot of different services, but broadly speaking, if I think about payments, correct me if I'm wrong, but you were one of the early, uh, sort of software companies, if I can call you that, um, platforms, whatever, but to really focus on a usage based pricing, but how do I, how do I engage with you? What's, what's the pricing model. Maybe you could describe that a little. >>Sure. So the pricing model is very, very transparent. Uh, it's on, it's on the website. So, uh, we, we take a, um, a percentage of each transaction. So literally you can, you can set up a, a Stripe account it's self-service, um, uh, we, we take a 2.9% plus 30 cents on every, uh, Tran transaction. Um, we don't, you don't start getting, um, uh, charged until, uh, you start accepting payments from your, from your customers or from your users. >>Um, can you give us a sense of the business scope, maybe any metrics you can share, customers, whatever. >>Sure. So there's a couple of things we can share publicly, just in terms of the size of the business. I think since, uh, since 2020, uh, more than 2 million businesses have launched on, on Stripe. Uh, so, uh, 2 million in, in, in, in 2020, um, we've, uh, uh, in the past 12 months, we've, uh, uh, uh, processed over 173 billion, uh, API calls. Uh, we do we process about, um, uh, hundreds of billions of, of, of, uh, payment volume, uh, every, every year. Um, if you look at sort of the macros of the business, the business is growing faster than the broader e-commerce space. So the amount of payment volume that we did in this past year is more than the entire industry did when Patrick and John founded the company. And in 2010, just to give you a, uh, an idea of the, the, the size of the business and sort of the pace of the business >>You're growing as e-commerce grows, but you're also stealing share from other sort of traditional payment systems. Okay. So that's a nice flywheel effect. And of course, Stripe's a private company they've raised well over a billion dollars of Peter teal, and it wasn't original founders, so are funders. So, you know, that's, he's talking scale. I want to go back to something you said about radar. Sure. So there's tech in your stack fraud detection, right. So some of >>That in machine learning, right. >>So, and so you guys, I mean, are you a technology company, are you a F a FinTech company? What are you? >>We're a software company. We provide software and we provide technology for developers, uh, to make online businesses and make, uh, uh, commerce, uh, more seamless and more frictionless >>Cloud-first API first. I mean, maybe describe how that is different maybe than, you know, the technical debt that's been built up over, you know, decades with traditional payment systems. >>Yes, it's very similar to the early, earlier days of AWS where a lot of tech forward companies leveraged Stripe, um, to, um, whether it be large enterprises to transform their businesses and move online, or, or, uh, uh, startups and developers that want to, uh, start a new business online and, and do that, uh, as quickly and seamlessly as possible. So it's, it's quite the gamut from large enterprises that are digitally transforming themselves companies like Marske and, and NASDAQ and others, as well as, uh, um, startups and developers that have started their businesses and born on born on Stripe. So >>When you talk about a startup, how small of an entity makes sense, uh, when you think of, if you look at, from an economic perspective, lowering the friction associated with transactions can lift up a large part of the world with sort of, you know, w with very, very small businesses. Is that something that this is all about? >>Yeah, absolutely. So, like I said, you know, two, 2 million business have sub launched on, on, on Stripe, uh, in, in the past year. And, and those businesses vary, but it could be literally a, a developer or a, uh, uh, a small, uh, SMB that wants to be able to accept payments on online. And it can just set up a Stripe account and start accepting payments. >>Yeah. So this is not a one hit wonder, um, lay out the vision for Stripe, right? I mean, you're, you're a platform, uh, you're, you're becoming a fundamental ingredient of the digital economy sounds pre pandemic. That was all a bunch of buzzwords, but today we all know how important that is, but what lay out the vision for us can, >>Yeah, it really are. The mission of Stripe is to grow the GDP of the internet. Um, and, and so what that means is, uh, more and more our, our, our basic belief is more and more and more businesses, uh, will, will, uh, go, go online, uh, with, uh, with the pandemic that that was, uh, accelerated. But I think that the general trend of businesses moving online, uh, will continue to accelerate, and we want to provide, uh, economic infrastructure to support those businesses. Um, you know, um, uh, uh, Andreessen talked about sort of software, software eating the world well fit. Our belief has FinTech is eating software. So in, in the fullness of time, I think the opportunity is for, uh, any, any company to be a financial services company. And we want to empower any company that wants to, or any user that wants to be a financial services company to, to provide the economic infrastructure for them to do so. >>And, and, you know, I mean your data company in that sense, you're moving bits around, you know, and those datas, I like to say data's eating software, you know, cause really you gotta have your data act together. Absolutely. And that's an evolving, I mean, you guys started to, to 2010, I would imagine your data strategy has evolved quite dramatically. Yeah. >>It's a great, it's a great call out Dave. Uh, one of our other products is a product called Sigma. So Sigma allows, uh, merchants or our customers to query payment and transaction data. So they want to be able to understand who, who, who are their customers, what are the payment methods that those customers prefer in different countries, in different regions? Um, so we're, we're starting to have some interesting use cases, um, working with, with AWS and other partners when you can start combining payment and transaction data in Stripe with other data to understand customer segmentation, customer 360 lifetime value of a customer customer acquisition costs, being able to close the books faster in your ERP, because you can apply that payment and transaction data to your general ledger to, to close the books faster at the end of the month or at the end of the, at the end of the year. So, uh, yeah, we we're, um, uh, as, as more and more companies are using Stripe, um, they want to be able to take advantage of that data and combine it with other, other sources of data to drive business. >>Yeah. You mentioned some of those key metrics that are, that are so important to companies today. I'll give you the last word re-invent this hall is packed, um, a little bit surprising, frankly, you know, but, uh, but exciting. Uh, what are you looking forward to this? >>Yeah, I'm just looking forward to meeting people in person again, it's, uh, it's great to be here and, and, you know, uh, uh, we have a strong relationship with AWS. We have lots of partners in, in, in common here, uh, as well, both consulting partners and technology partners. So really looking forward to meeting with partners and customers, and especially as we, as we plan for next year and, uh, launching our, our, our partner program beginning of next year. Uh, there's a lot of, uh, uh, groundwork and things to learn from, from here. As we, as we, we, we, we launch our, our, our partner business formula next >>I'll bet. Looking forward to that, Ken, thanks so much for coming to the cure. You so much. It was great to have a chat at the time. All right. And we want to thank our sponsors, uh, AWS, of course, and also AMD who's making the editorial segments that we bring you this week possible for Dave Nicholson. I'm Dave Volante. You're watching the cube at AWS reinvent 2021. Keep it right there, right back.

Published Date : Nov 30 2021

SUMMARY :

Uh, John furrier is also here, Lisa Martin for the cubes wall-to-wall coverage. I greatly appreciate it. We probably done four or five this year, It's good to be back in person. Can a powering the new economy. Um, and you had to do that for each and every country that you wanted to service. And then what if you had any money left over, you can actually do some business, but, but describe the sort of what Um, so it's like you said, uh, taking care of the undifferentiated heavy lifting are around So maybe tell us how you sort of leverage the cloud. And it's interesting because a lot of, uh, a lot of the companies that have been built on, What's the technology stuff? a product called radar that, uh, that, um, prevents fraud, It's one thing to tell me in Northern California, you can process payments for me, So really it's, uh, providing sort of the payment methods that users which we built on top of to provide, uh, you know, five nines of uptime for our, You describe in more detail, Kenya, your ecosystem. So a customer may start, uh, with a salesperson may start with a quote or order, if I can call you that, um, platforms, whatever, but to really focus on a usage So literally you can, you can set up a, a Stripe account it's self-service, Um, can you give us a sense of the business scope, maybe any metrics you can share, And in 2010, just to give you a, uh, an idea of the, I want to go back to something you said about radar. uh, to make online businesses and make, uh, uh, commerce, you know, the technical debt that's been built up over, you know, decades with traditional So it's, it's quite the gamut from large uh, when you think of, if you look at, from an economic perspective, lowering the friction associated with transactions So, like I said, you know, two, 2 million business have sub launched on, on, ingredient of the digital economy sounds pre pandemic. in the fullness of time, I think the opportunity is for, uh, any, any company to be a financial I mean, you guys started to, to 2010, I would imagine your data strategy So Sigma allows, uh, merchants or our customers to query Uh, what are you looking forward to this? Yeah, I'm just looking forward to meeting people in person again, it's, uh, it's great to be here and, the editorial segments that we bring you this week possible for Dave Nicholson.

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Tim Elcott, IBM + Fran Thompson, Health Service Executive | IBM Think 2021


 

>> Narrator: From around the globe, it's theCUBE, with digital coverage of IBM Think 2021 brought to you by IBM. >> Welcome to theCUBEs coverage of IBM Think 2021. I'm Lisa Martin. Exciting conversation coming up about in vaccine cloud management. I've got two guests with me, Tim Elcott is here, the sales and delivery director of IBM services for Salesforce and Fran Thompson joins us as well, the CEO of the Health Service Executive in Ireland. Gentlemen, welcome to the program. >> Hi, there. >> Hi. >> Good to be here. >> So we're very socially distance, Northern California, UK. Glad to have you guys here. We're going to talk about what the Health Service Executive or HSE in Ireland has done with IBM and Salesforce to facilitate vaccine management. But Fran, let's go ahead and start with you, talk to us a little bit about HSE. >> Well, the HSE provides public health and social services to everyone living in Ireland, okay. We got Acute hospitals, community services nationally. We directly employ about 80,000 people and we formed a farther about 40,000 people. And our annual budget is slightly North of 21.6 billion a year. We are the largest employer in the state and the largest organizations in the state. And, you know, we provide a huge range of services right across the whole spectrum. And we also formed other organizations who provide those services as well. So we would fund some voluntary and charity organizations and we would also buy services from the likes of say GP and other organizations as well. >> So talk to me about a year or so ago when the pandemic hit what were some of the challenges that HSE faced? And then when it came time to, we have a vaccine, we have multiple vaccines that rollout capability what were some of the challenges that you faced initially? >> So from an organizational perspective, there were huge challenges in that we were like every other health service worldwide facing an enormous pandemic that was impacting on people. And this is all about people, it's all about people's lives at the end of the day. People can talk about numbers and they can talk about costs and they can talk about other elements but at the end of the day this is about individual, people's lives, their families and their communities. And for the HSE, our challenge was really about how do we manage to protect the totality of the population in Ireland, as much as we can from the ravages of the virus. And the initial challenge we had was around contact tracing and managing that before a vaccine became available. And once the vaccine became available it was then how do we stand up a national vaccine solution that we would be able to deliver and record vaccines to the totality of the population who were getting a vaccine. >> Yeah, so there was no preexisting vaccination program of course, probably in most places you needed to get healthcare workers vaccinated ASAP and it's also needed to be a national program. So what did you do next after determining all right, we need to work with some partners to be able to build technology to facilitate equitable efficient rollout of the vaccine? >> So we did have regional vaccine systems and we do have a number of vaccine programs out there that were managing flu vaccine, Hep C vaccine, but we didn't have a national program and we needed to vaccinate people immediately. And we also wanted to make sure that vaccine program was not dependent on the HSE infrastructure, because we want to be able to vaccinate people in non HSE sites, and we wanted non HSE staff to be able to vaccinate. And we didn't want a huge pre-dependence on our existing infrastructure. So the first thing we did, we looked at a number of vendors and we chose IBM as our partner with Salesforce. And that partnership is really a strategic partnership and it's a partnership that we worked to all the bumps and all the lumps through the program together and there have been challenges but like it's still working with Tim and his team and to our team that we've overcome some of those challenges. And like, when we started off I remember the very first conversation I had with Tim he said, "Look, we need to vaccinate healthcare workers now, okay? And you've got two weeks to start and we need to configure a system, get it up and running and to be able to roll it out to the hospitals and very quickly then to all of our nursing care homes now" and that was the challenge. >> And let's bring Tim in, and this is a radically quick project from MPV to roll out in two weeks. Tim talk to us first about the IBM partnership with Salesforce and what you're building together. >> Absolutely, it's great and Fran it's interesting to hear you speaking about the running into this, 'cause from my perspective a week before we all started this we had a simple conversation called into the Health Service Executive they're talking about some vaccination program how can we help? And then within a week, we've gone from zero to having how many calls with Fran and team just to understand and with the Salesforce team to really understand how the three parties can bring the best of IBM, the best of Salesforce and the best of HSE in terms of the adaptability and what we need to get done to get those vaccinations up and running for the healthcare workers now. When Fran said to me, "We need something in two weeks." There was absolutely clarity, if you can't do it in two weeks there's the door, right? So we knew exactly the challenge and that's the kind of thing right before Christmas that we were so fortunate to really bring in the team, like everyone you think about this, everyone has probably the 14th of December was thinking of winding down, thinking of having their Christmas holidays and vacation time. And everybody from the Irish team and from the English team said, "No, we will cancel Christmas, we will cancel everything." So is it really Christmas came early and Christmas was canceled all at once. So, and the key bit here, the strategic partnership is IBM and Salesforce have been working together for years and years and years growing out a partnership. We know their products really well, we've got huge capability in that space. But actually with the new health cloud part of it the vaccine management parts are quite new to Salesforce as well only launched back in sort of the August, September time. So it's quite new. So we had to go in together as a sort of a partnership there to say, "Did you get this done?" So we had the best people from Salesforce who know the product, the best people from IBM all turning up on the 14th of December and saying, "Right, we've got to get this done by the 29th, with Christmas holidays in the way, the vacation time in the way." I think we had 36 hours of time off to eat turkey and fill ourselves before getting back to the wheel and really getting this done. And to get I think it was four acute hospitals we went into as of the 29th to start the vaccination program. So trying to do that, understanding everything is a compromise at that point. Yeah, but it has to be secure, you know this is personal data going into these systems. So you can't forget about all the aspects it's got as minimum, but minimum with those kinds of constraints as a health system. So it needs to be secure, it needs to also be that national platform going forwards as well. So basing on a great platform like Salesforce, you know you can scale out, you know you've got those options to grow in the future, but yeah, not without a lot of challenge and then working out what's now getting to know each other, but if we only talked about twice before we ever know each other pretty well now. But just trying to work out how we then structure what's going to happen every two weeks afterwards, how's that going to move forward? We're going live every two weeks and we have done that now for the last three months, so, good fun. >> So, yeah, good fun. But so much work to get done and accord a huge coordinated effort in a very short time period during a very challenging time. Talk to me a little bit about Fran but you launched this Vaccine Cloud Management in January, 2021. And to date, I think you told me 1 million people have been vaccinated so far. Talk to me about what the IBM, Salesforce solution enables you to deliver to the HSE and to the Irish citizens. >> So we have delivered a million vaccines, okay in two stages. The dose one, the dose two for most people in Ireland. And there's about 720,000 people got their dose one and the balance have got the dose two. That's about sort of just about one in five of the population that has to be vaccinated. And one of things we were very conscious of is that as an organization like that we need to take a risk based approach to this. So we need to look at the most vulnerable groups there were lots of people who were dying from this. And a lot of people were elderly groups, and people who were vulnerable with pre medical conditions. So our challenge was how do we vaccinate those people quickly and effectively and also vaccinate healthcare workers who are going to care for these people. And that's where we prioritize the work. So we have to go into 50 acute sites about 600 or so care homes, we set up a lot of what we call pop-up clinics literally a tent in a location, or we took over a sports hall or whatever we did. We rolled it out to the GP so about two and a half thousand GP sites. And all of that was being done while we were building the system. So we were building the system and designing a system on two week sprints. We have to be agile, we have to be quick, we had to make huge compromises and we know that. Though I hate to admit it everyone wants a perfect system, which will make the compromise and look into what do you need to do now to keep the program running? And how you manage that with about 3,000 users all to be set up fairly quickly or a little over half thousand users. So you have to manage all that as you're going through everything. >> I think agile is the name of the game here. Tim, talk to us about how you're delivering the agility in such a tenuous time. >> Well, we're all virtual, which is added to the mix. But the funny thing with that agility we've got a span of people across all the countries and everywhere that we can bring in to that party. And yeah, we're running what I would call a normal agile project, except normally it would take two, three months to really get that team working effectively, getting to know each other and we just not had time to do that. So there's been a core team here and we're bringing in the experts around it but really just everything is working with Fran, worked very hand in glove trying just to work out, what we need to do here, to look at the next sprint to look at the next go live, to look at the compromise. How do we compromise for two weeks? What can we live with for two weeks? What's in the backlog for now and Fran and I have many conversations. What do we need to do this week and then what's next week? And that's level of fluidity and that's in part because of the way the pandemics and the response of pandemic is mapping out. As we saw the vaccines are changing, availability is changing, the rollout plan is changing. None of us have worked through a pandemic before. So agility is the name of the game at the highest level. I think we're all now very used to being, sorry there's a problem something's changed, can we adapt the system too, you know, and normally in a sprint I'll be thinking, I've got some fixed requirements for two weeks, I'll build that and then do the next two weeks. Everything is up for grabs and we're just having to maintain quality at the pace, the responsiveness and balancing it all as an IBM team and you think. And whilst we're also doing that on a platform that it takes time to configure and build these things as well. So it's some of it is you're going to have to wait a few days. So we're sorry, you know, a few days is really the probably sometimes the maximum amount of time that can be you can defer, but as Fran and everyone in the HSE and the National Immunization Office, everyone's pragmatic about realizing we're all in this together and it's really just being one single team, one unit working out and very open and transparent about the odds that are possible. >> And when doing something... Go ahead, Fran. >> We had a phrase there like there was a pieces we just had, "Just do it now." And we did a lot of that, okay? You know, where there were things that were prioritized were in the middle of a sprint, there were changes in the program or there were changes in how the vaccination was going to be delivered. And we couldn't waste the week just wasn't available. So we have the thing just got to do it now. And Tim and the team they'll drop what they were doing you know, made the changes, we tested them fast and we pulled them in and then gave us an extra time to actually then deliver the rest of the sprint. We have to do that several occasions, several very, very late night delivers. >> And I imagine that's still going on, but to wrap here guys, an amazing work that you've done together so far with the Salesforce Vaccine Club Management rolling out across the HSE you said 1 million vaccinations delivered many hundreds of thousands in the queue. I'm sure more iterative work and sleepless nights but what you're doing for the country of Ireland is literally as Fran said in the beginning, lifesaving. Gentlemen, thank you so much for joining me today on the program. >> You're welcome, thank you. >> You're very welcome. Thank you. >> From Tim and Fran I'm Lisa Martin. You're watching theCUBEs coverage of IBM Think 2021. (upbeat music)

Published Date : May 12 2021

SUMMARY :

brought to you by IBM. the CEO of the Health Glad to have you guys here. and the largest And the initial challenge we had and it's also needed to So the first thing we did, the IBM partnership with Salesforce and that's the kind of thing and to the Irish citizens. We have to be agile, we have to be quick, name of the game here. and we just not had time to do that. And when doing something... And Tim and the team the country of Ireland You're very welcome. From Tim and Fran

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BOS7 Tim Elcott + Fran Thompson VTT


 

>>from around the globe. >>It's the cube >>With digital coverage of IBM. Think 2021 brought to you by IBM. Welcome to the cubes coverage of IBM Think 2021. I'm lisa martin, exciting conversation coming up about vaccine cloud management. I've got two guests with me, tim Elka is here, the sales and delivery director of IBM Services for Salesforce and fred Thompson joins us as well. The C. I. O. Of the health service executive in Ireland. Gentlemen, welcome to the program. >>Either I have to be here >>so we're very socially distant northern California UK. Glad to have you guys here. We're gonna talk about what the health service executive or HST and Ireland has done with IBM and Salesforce to facilitate vaccine management. But Fran let's go ahead and start with you talk to us a little bit about HSC >>So that the HSC provides public health and social services to everyone living in Ireland. Okay. We that acute hospitals community services nationally. We directly employ about 80,000 people and we fund a further about about 40,000 people. Um and our annual budget is slightly north of 21.6 billion a year. We are the largest employer in the state of the largest organizations the state. Uh you know, we provide a huge range of services right across the whole spectrum and we also fund other organizations who provide those services as well. So we would we would fund some voluntary and charity organizations and we would also uh by services from the latest A GP and other organizations as well. >>So talk to me about a year or so ago when the pandemic hit, what were some of the challenges that HSC faced and then when it came time to we have a vaccine, we have multiple vaccines that roll out um capability. What were some of the challenges that you faced initially? >>So from a an organizational perspective, um, there are, there were huge challenges in that. We were like every other health service worldwide facing uh, an enormous pandemic that was impacting on people. And this is all about people, it's all about people's lives. At the end of the day, people can talk about numbers and they can talk about costs and they can talk about other elements at the end of the day. This is about individual people's lives, their families and their communities. And for the HFC, our challenge was really about how do we manage to protect the totality of the population in Ireland as much as we can from, from the ravages of the virus. Um, and you know, the initial challenge we had was around contact tracing and managing that before a vaccine became available and once the vaccine became available it was then how do we stand up and national vaccine solution that we would be able to deliver and record vaccine to the totality of the population who were getting back? >>Yeah. So there was no pre existing vaccination program. Of course, probably in most places, you needed to get health care workers vaccinated ASAP. And it's also needed to be a national program. So what did you do next? After determining? All right, we need to work with some partners to be able to build technology to facilitate uh equitable, efficient rollout of the vaccine. >>So we did have regional vaccine systems and we do have a number of vaccine programs out there that were that were managing flu vaccine, heP C vaccine. But we needed we did we didn't have a national program and we needed to vaccinate people immediately. Um, and we also wanted to make sure that vaccine program was not dependent on the HSC infrastructure because, you know, we want to be able to vaccinate people in non HSC sites and we wanted non HSC staff to be able to vaccination. Uh, and we didn't want a huge pre dependent on our existing infrastructure. Um, so the first thing we did, we we looked at a number of vendors. Um, and we chose IBM as our partner with Salesforce. And that partnership is really a strategic partnership and it's a partnership that we worked through all the bumps and all the lumps of the program together. Um, and you know, and and there there have been challenges, but like it's too working with him and his team and through our team that we've overcome some of those challenges. Um, and like when we started off, remember the very first conversation I had with him as legislators, we need to vaccinate healthcare workers now, okay, you've got two weeks to start, um and we need to configure a system, get it up and running and to be able to um roll it out to the hospital And two. I'm very quickly then to all of our nursing care homes. Now, that was the challenge. >>And let's bring tIM in is this is a radically quick project from MPB to roll out in two weeks to talk to us about first about the IBM partnership with Salesforce and what you're building together. >>Absolutely. And it's great and Fran. It's interesting to hear you speaking about the run into this because from my perspective, a week before we all started this, we had a simple conversation called into Health Service Executive has some talking about some vaccination program, how can we help? And then within a week we've gone from zero to having how many calls with Fran and team just to understand and with the salesforce team to really understand how the 33 parties can bring the best of IBM, the best of Salesforce and the best of HSC in terms of the adaptability and what we need to get done to get those vaccinations up and running for the health care workers. Now, you know when franz said to me, we need something in two weeks, there was absolutely clarity. If you can't do it in two weeks there's a door, right? So we knew exactly the challenge and that's the kind of thing right before christmas that we were so fortunate to really bring in the team like everyone you think about this, everyone has probably the 14th of december, I was thinking of winding down thinking of having their christmas holidays and vacation time and everybody from the irish team and from the english team said no or cancel, christmas will cancel everything. So it's really christmas came early and christmas was canceled all at once, so and the key bit here, the strategic partnership is, I'm in the sales force have been working together for years and years and years growing out a partnership, we know their products really well, we've got huge capability in that space, but actually with the new health cloud part of it, the vaccine management parts are quite new to salesforce as well, only launched back in august september time, so it's quite new, so we had to go in together as a sort of partnership there to say to just get this done. So we had the best people from salesforce, I know the product, the best people from IBM all turning up on the 14th of december and saying right, we've got to get this done By the 29th with christmas and christmas holidays in the way the vacation time in the way, I think we have 36 hours of time off to eat turkey and fill ourselves before getting back to the wheel and really getting this done and to get I think was four acute hospitals we went into as of the 29th to start the vaccination program, so trying to do that, understanding everything is a compromise at that point, but it has to be secure, you know, this, this is, this is personal data going into these systems, so you can't forget about all the aspects, it's got this minimum but minimum with those kind of constraints as a health system. So it needs to be secure, it needs to also be that national platform going forward as well. So basing on a great platform like Salesforce, you know, you can scale out, you know, you've got those options to grow in the future, but yeah, not without a lot of challenge and then working out what's now getting to know each other, but if we only talked about twice before, we have to know each other pretty well now, um, but just trying to work out how we then structure, what's going to happen every two weeks afterwards, How is that going to move forward? We're going live every two weeks and we haven't done that now for the last three months, So good fun. >>So yeah, good fun. And but so much work to get done and according huge, coordinated effort in a very short time period, during a very challenging time. Talk to me a little bit about France, but you launched this um cloud management vaccine, Cloud management in january 2021 today to thank you. Told me one million people have been vaccinated so far. Talk to me about what the IBM Salesforce solution enables you to deliver to the HSC and to the irish citizens. >>So we have delivered a million vaccines. Okay to uh to stage is uh there's a dose one of those two for most people in Ireland. Um and there's about 720,000 people have got their dose one and the balance I've got, I've got the dose too, that's about sort of just about one in five of the population. That has to be that there has to be vaccinated. And one of these were very conscious of is that, you know, an organization is that we need to take a risk-based approach to this. So we need to look at the most vulnerable groups. There were lots of people who were dying from, you know, from this and they were all the a lot of people are elderly groups and people who were who were vulnerable with uh with pre medical condition. So our challenge was how do we, how do we vaccinate those people quickly and effectively uh and also vaccinate health care workers who are going to care for these people? Uh and and that's what we're, we prioritize the work. So we have to go into 50 acute sites, about 600 or so care homes. We set up a lot of what we call pop up clinics literally attended the in a location or we took over a sports hall or whatever we did. We rolled it out to the GPS to about 2.5 1000 G. P. Site. Um and all of that was being done while we were building the system. So we were, you know, building the system and designing the system on two weeks prints. We have to be agile way too quick. We can make huge compromises and we know that okay. I mean everyone wants a perfect system which is to make the compromise and look and see what you need to do now to keep the program running and how you manage that were, you know, Uh about 3000 users all to be set up fairly quickly or a little over between 1000 users so you can manage all that as you're going through everything. >>I think agile is the name of the game here. Tim talked to us about how you're delivering the agility in such a 10uous time. >>Well, we're all virtual which is added to the mix. But the funny thing with that agility, we've got a span of people across all the countries and everywhere that we can bring to that that party and we're running a normal but I was kind of a normal agile project except normally it would take 23 months to really get that team working effectively, getting to know each other and we just not had time to that to do that. So there's been a core team here and we're bringing in the experts around it. But really just everything is working with Fran work very hand in glove, trying just to work out what we need to do here to look at the next sprint, to look at the next go Live, to look at the compromise. How do we compromise for two weeks? What can we live with for two weeks? What's in the backlog for now? And Fran and I have many conversations, what do we need to do this week and then what's next week? And that's the level of fluidity And that's in part because of the way the pandemics and the response to pandemic is mapping out as we saw the vaccines are changing availability, is changing the rollout plan is changing. None of us have worked through a pandemic before. So agility is the name of the game at the highest level. I think we're all now very used to being sorry, there's a problem. Something's changed. Can we adapt the system to you know where normally in a sprint, I'd be thinking I've got some fixed requirements for two weeks. I'll build that and then do the next two weeks, everything is up for grabs and we're just having to maintain quality at the pace, the responsiveness and balancing it all as an IBM team and you think, and whilst we're also doing that on a platform that it takes time to configure and build these things as well. So it's some of it is you're gonna have to wait a few days. So sorry, you know, in a few days is really probably sometimes the maximum amount of time that can be, you can differ. But as Fran and everyone in the HRC and the, the national immunization office, everyone's pragmatic about realizing we're all in this together and it's really just being one single team, one unit working out and very open and transparent about the, after the possible >>we're doing something, go ahead. >>And we had a phrase, there was like, those are the pieces, we just just do it now and, and we did a lot of that. Okay. Um, you know, where there were things that were prioritized, we're in the middle of a sprint. Um, there were there were changes in the program or there were changes in how, how the vaccination was going to be delivered. Um, and we couldn't wait the week. Just it wasn't available. So we have this thing is just gonna do it now and him and the team, you know, drop what they were doing, you know, made the changes, we test them fast and we put them in and and that gave us then, you know, an extra time to actually then deliver the rest of the sprint and we have to do that. Several Okay. Several very, very late night to deliver >>and I imagine that's still going on. But to wrap here guys, amazing work that you've done together so far with the Salesforce vaccine Club Management rolling out across the HSC, you said one million vaccinations delivered many hundreds of thousands in the queue. I'm sure more iterative work and sleepless nights. But what you're doing for the country of Ireland is literally as friends in the beginning. Life saving Gentlemen, thank you so much for joining me today on the program. >>You're welcome. Thank you. You're very welcome. Thank you. >>Tim and Fran. I'm lisa martin. You're watching two cubes coverage of IBM think 2021. >>Mhm >>mm.

Published Date : Apr 16 2021

SUMMARY :

around the globe. Think 2021 brought to you by IBM. Glad to have you guys here. So that the HSC provides public health and social services to everyone So talk to me about a year or so ago when the pandemic hit, what were some of the challenges And for the HFC, our challenge was really about how do we manage to protect So what did you do next? Um, so the first thing we did, we we looked at a number of vendors. to roll out in two weeks to talk to us about first about the IBM partnership with Salesforce in the way, I think we have 36 hours of time off to eat turkey and fill ourselves before Talk to me a little bit about France, but you launched this um cloud management vaccine, is to make the compromise and look and see what you need to do now to keep the program running the agility in such a 10uous time. and the response to pandemic is mapping out as we saw the vaccines are changing availability, and and that gave us then, you know, an extra time to actually then deliver the rest of the sprint and the HSC, you said one million vaccinations delivered many hundreds of thousands in the queue. You're very welcome. You're watching two cubes coverage of IBM think 2021.

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Real-World Experiences | Workplace Next


 

>>thank you. I'm very happy to be here. It's no surprise that Kevin, 19, has changed every business, but how it's changed Business is very strong, Matic Lee, according to the company. Fortunately, we are seeing some interesting themes and some interesting opportunities that really spend across companies. So today's session we're going to talk to three different companies that have had three different experiences and look at what some of the opportunities, challenges and consistencies across these companies are. And I'm thrilled to be here today with three amazing presenters that have very different stories about how they embraced >>the >>challenges that covered 19 created and turned it into opportunity to get started. I'd like to introduce Dr Albert Chan. He is the vice president and chief of digital patient experience at Sutter Health. Following Dr Chan, we have Sean Flaherty, who is the head of technical services, the Kraft Heinz Company, and rounding out our Panelists. Today we have Jennifer Brent, the director, business operations and strategic planning for global real estate at H P E. Thank you everybody, for sharing your time and attention with us today. Let's jump right in now. As I said, we are seeing a great deal of change and opportunity. So I'm gonna ask you to the Panelists to talk a little bit about what the organization is and some of the challenges that they have experienced over the course of 2020. Dr. Shen, let's start with you. Could you please introduce us to Sutter Health and the challenges you faced over the course of 2020? >>Thank you, Mayor Bell. It's great to join everyone. Uh, center Health is a integrated delivery network in Northern California. We serve over 100 diverse communities with 14,000 clinicians and 53,000 employees. Um, and it's a great opportunity to serve our community. Thank you. >>Perfect. Uh, Dr Chen, that was great intro. Sean, could you pick up and tell us a little bit about what's going on at Kraft Heinz and what you've experienced? >>Uh huh. I'm Sean flirty, and I'm currently the head of technical services. I previously was the head of manufacturing for Oscar Mar. I've been with Kraft Heinz for over 30 plus years, working across the supply chain both internationally and domestically. Kraft Heinz is 150 years old. We make some of the most beloved products consumed by all of our employees. And we have made some major big brands. We have craft. We have pines. We have Oscar Mayer planters, bagel bites or write a classical Who laid Philadelphia? Jeff Maxwell house. That's just to name a few little my current role. I'm in charge of technical services, I said, which includes engineering, maintenance, capital spend transformational manufacturing, maintenance and all the productivity pipeline that goes with >>certainly a very wide purview for a big product line. Uh, Gen Brent H P E. Tell us a little bit about what you were doing. >>Thank you, Maribel. Appreciate it. So hopefully everyone is familiar with Hewlett Packard. Enterprise are our main mission is really to advance the way that people live and work through technology. Um, and one of the ways that I'm supporting the company, I work for the global real estate organization. Um, global real estate is is obviously a sort of a key area of focus for everyone. Um, thes days, you know, given the cove in 19 impacts that you're speaking to, Maribel. Um, HP has over 200 sites globally. We operate in over 50 countries. Um, with an employee base of over 65,000. So what we're really focused on right now in real estate is how do we sort of take what's happening right now with Cove in 19. How do we advance? You know, the way that our employees or team members live and work? How do we sort of capitalize on this particular situation and think about what the future of work looks like And how we start to design for and deliver that now? Um, so that's really what what me and the team are focused on. >>Great. So I'm gonna pick up with Dr Chan because, you know, it is covered. 19. And there's been a lot going on in the health care industry. Clearly, um, you know, in your case, could you talk a little bit about what happened when cove it hit? What kind of plans did you have to develop? Because it really wasn't businesses usual. >>Thank you, Maribel. Yes, and indeed you're right. It's a business. Not usual. But frankly, it's something in healthcare. We've always had the face. Whether regards the fires or other disasters, thistle is a unique time for us to being involved in the most intimate parts of people's lives, and this is no different. Um, let me let me harking back to a story. Actually, I think, which illustrate the point. Eso I was in clinic in late February and saw two patients who drove straight from the airport to my clinic. They had respiratory symptoms. Their daughter was concerned about their health and I got advanced warning. I've been reading about this thing called Cove in, and so I had to wear a mask gown, face shield, you name it. And I realized then and there that we had a unique challenge that was confronting us here instead of health. Which is how do we protect the patients and our inclinations as well. So, um, during the week of my birthday, actually, we, um, marshals up a group of people over 200 folks, many of whom I've never met to this day actually came together and designed a telehealth strategy to rapidly respond to covet. We took we typically, we one of things we were doing is telemedicine. And prior to covet, we had 20 video visits per day on average, and after co vid 19, we saw up to 7000 video visits per day. So the rapper was tremendous and it was over. We were essentially given this challenge over a four week period instead of a two year roadmap, which is what our initial intent waas. We trained over 4700 questions to deliver care virtually to meet the challenge, >>that it's simply amazing and shows the power of both the will of individuals and technology coming together to make amazing things happen. And I imagine, Sean, um, in your case, you probably had, well, different something similar in the sense that it's food manufacturing. It's not something that can easily be done remotely. Can you tell us a little bit about what you been experiencing during coded 19? >>Yes, eso. As you said, manufacturing is not something that's not very easily remote. And so we had to quickly address the pandemic and make sure that our operation could stay intact and make our employees feel safe and healthy and make sure that that happens. I mean, across our manufacturing facilities we have put in, um, we require face mask. We require health check assessments. We require a temperature check before anybody enters our facilities. We put digital signage across the facility to encourage social distancing. We've taken our break rooms and redid those so that there's, uh, social distance inside with plexiglass. We staggered are break hours or lunch hours so that people don't congratulate inside there. And then we also have mailed newsletters to ever employees home in both English and Spanish to promote yourself social distancing and wearing face masks outside of work so that they could protect their communities and their families. We've limited visits to a plant to one person per week, and that person can only go to a plant once a week we've done came meeting. We've done team meetings inside of our plants to promote social distancing. We've done lots of activities inside of a manufacturing, please sure that our people are safe and then they go home the same when they came and we don't have any transmission of the virus inside of our facility. >>I think this is so critical because you want people to be able to go to work, to feel safe. And, you know, our food supply chain depends on that. So really excited with the work that you've been doing and very happy that you were able to do it. Jen, I know that HP has manufacturing, but I would like to talk about something slightly different with you because I think you have a mixture of employees. So you're in real estate. How are you thinking differently about what to do with the employees? And you know, some people are calling this a hybrid work concept. What has been your experience with coded 19 and a global workforce? >>Absolutely, Maribel. Thank you. So you're absolutely right. We've got a blend in terms of our workforce. We have your sort of knowledge based workers, Aziz. Well, as you know, manufacturing based workers and also essential support. I t support workers. Um, and those latter two categories have continued to use their offices as part of the essential workforce throughout Cove in 19. And so we've implemented very similar sort of safety measures. Social distancing, you know, PP use Onda like, but as we're thinking about what the future of work looks like and really wanting thio leverage all spaces and and sort of re conceptualize or reimagined, as many people are saying, the future of office, um, we're thinking a bit more broadly. And so as a company, we are in the midst of a of a strategy transformation to become the edge of cloud platform as a service company that is the leader in the industry. Uh, similarly, we wanted to think about our strategy in terms of our workplace in a similar way. And so we're framing it as the edge toe office experience, where by the edge, we mean anything, really, that is outside of the office. So that might be your home office. That might be a customer site. That might be, you know, working on the train on your way to the office for a cafe s. So we're really trying to think of the workplaces everywhere. And how do we really design for that? How do we design for a flow, Um, of a workforce that's really moving and working in a space that at that particular time or moment or day best suits their their work. So we're really tackling this in terms of four key areas. Right now we're looking at what is that experience at the edge? What do we need to make people feel comfortable for people to feel safe and connected How are we then? Adapting our office is how are we pivoting those so that they are they really sort of foster used by a much more fluid workforce on, but they're really fostering collaboration and social and connection. Um, then we're looking at the digital experience being that sort of bridge between spaces on dat sort of equalizer, where everyone has a really similar kind of experience, has the ability to engage on. But it's that piece, really that is so core to our culture and ensuring that we continue tohave that really strong cultural element that is core core to HP. And I'm sure, um, to set our health into Kraft Heinz as well on dfo finally really the mindset because I think any time you move into something like hybrid and you have some people that aren't in your physical proximity, how you engage with them is incredibly important on DSO. I think what's what's most exciting? Really, for us is a technology company is the sort of the key, the key part or or piece that technology plays in that where you know, in the in the past, workplace technology and some of these other pieces collaboration technology may have been seen as more of a nice tohave, whereas now it's really an imperative. Um uh, in our view, for, you know, to really support the future workplace. >>I know when we were just talking with Sean, it sounded like there was quite a bit of communications and collaborations that had to happen with the employee based to make sure that they were up to speed on all the changes that were happening in terms of what their work environment, where was going to be on how it will change going forward. Um, now, on Albert side, this also makes me think that, you know, we talked about this tremendous amount of visits that you started doing with telehealth. Can you talk a little bit about the changes of how that might have changed, what the worker environment was like because I went from seeing a lot of patients in person to doing a lot of telehealth Any other changes that you had to associate with this coded 19 shift? >>Well, thank you very well. I think the biggest change is really our belief in what we could get done. So in other words, there's a there's There's always a fundamental belief of what you can achieve, and we've pushed the limits and we keep pushing it. And and really, it's been quite gratifying, actually, to see our our employees, our staff are clinicians. We had to step up to this challenge and feel empowered to do so. So we're we're seeing new models of care we're seeing, for example, patients. I, for example, I diagnosed a hernia. Believe it or not, be a video, which is I leave the graphical images side for a second. Uh, it was an incredible, credible feet and and I thought I never thought my career that I would be able to do this. But certainly you can, um, and this thing you can attitudes really changed our culture. So, as I mentioned earlier, we really marching up about 200 staff members to come together, many of whom we've never worked together. Frankly, to pull this challenge off, we change our training methodology. We, for example, instead of doing in class classroom training, we essentially held five sessions per day for four weeks straight so that we could accommodate the doctor's schedules and get people ready for telemedicine for example, one of the things we needed to do was get equipment out to our doctors. So we provisioned centrally and in a social distance. Safe manner. Um, several 1004. 4000 plus ipads, for example. So we could deploy them. So consider them centrally, deploy them locally to all our clinicians so they could connect to their patients. And the impact was felt almost immediately. We had stories from physicians who said, Hey, um, I had a family, for example, who was really concerned about their baby, and I diagnosed a neurologic disorder via video, for example, Um, in fact, one of our doctors was quoted as saying, You know, this is this is life has changed so much from Kobe 19, where we're seeing this differentiation between B C before coronavirus and a C after coronavirus and care will never be the same again. So it's an incredible transformation. >>I'm excited for the transformation that we've had because I think it'll bring care Teoh a lot more people more seamlessly, which I think is fabulous now. Yeah, Sean, we talked a little bit about what's going on in your manufacturing environment in terms of adding things like social distancing and other protocols. Were there any other manufacturing changes that happened as a result of that or any other challenges that this new environment created? >>Yes. So assed people started to eat more at home. We had to change our whole manufacturing network as, uh, retool because we service restaurants on the go and those two segments started to drop off. People started buying more of their trusted brands that they are used to. And so we had the retool across our manufacturing network in order to make more products that people wanted. That was in high demand. We increased our capacity across many of our segments. We focused on sanitation to production processes, were still ensuring the highest quality of products concert on lean flow and made flow management inside the facilities. We have put challenge all of our operational assumptions and make sure that we get the most out put that we can during this time. I mean, some of the I think there's four key things that we've learned during this. It's our our speed, agility, our death ability, and I read repeatability, and those four things have come to better ways of what better ways of working increase efficiency, greater flexibility and better focus on what the customer really wants. >>It's actually tremendous to think that you can change a manufacturing line like that that you could be that that responsive to shifts in demand. And I think that that that whole concept we've talked about business agility. If you look at it in health care, if you look at it, um, in a mixed blended environment, like what's going on at HP or if you look at it and manufacturing, we've always discussed it, but we we didn't necessarily have that huge imperative and push to get it done as fast as we've done this time. So it's It's wonderful to see that with the right vision and the right technology, you can actually policing together quite quickly and continue to evolve and adapt them as you see different changes in the marketplace. Jenna I wanted to circle back for a minute because you were talking a little bit about this edged office initiative, and how do you think that changes the employee experience? >>Yeah, it's a good question. I mean, I think it changes it in many ways. In many ways, we're gonna We're gonna hold on. Thio, you know, are are sort of primary core beliefs and behaviors Onda way that we operate a love, you know, the example of sort of the the art of the possible. I mean, one of our sort of call core called cultural beliefs are is is the power of yes, we can, um and I think that this what's been so fascinating and heartening about, you know, this context and the previous two examples is people are just surprised at what they've been able to do about, you know, whether that is, you know, entirely changing in manufacturing line. Whether that is, you know, taking an entire patient diagnosis kind of service entirely digital. I think that people are really becoming exposed far more than they have been in the past, to the truly to the power of technology and what we can dio Onda from an employee engagement perspective. You know, HP, as much as we've had a a pretty flexible way of working where, you know, in the past we've had people working from home. Certainly the core of our culture has always been site based. And I think what's been what you know, what we've sort of been shown through the past sort of 67 months is how much connection you could really establish virtually. You know, it may never be ah, wholesale replacement for what you're able to do in person. Um, but the kind of community feelings that were able thio develop, I think the personal connections and we're letting people into our lives a bit more than we would have. Um, otherwise, but we're really seeing a lot of adaptation. Ah, lot of, you know, efficiency gains from certain people. I think a lot of folks had preconceived ideas about not being productive at home. And I think that, you know, barring some of the sort of unique circumstances of cove it I think that's really been flipped on its head s. So I think, you know, from an engagement perspective, productivity, efficiency. Um, I think, you know, very similar to the prior two examples. What we're seeing is, you know, rethinking the way that we all work and being more sort of fluid. Relying more on technology is actually showing us that we can do things differently. Um, and in a way that actually allows people toe work a lot more flexibly in ways that that suit their own personal style without necessarily, you know, seeing any kind of negative impact on on output but actually in the reverse, you know, really seeing an accelerated positive impact. >>Wonderful. So to close out, I like each of you to tell me, what's the number one thing you've learned in the last nine months of this experience? And how do you think you can use that learning going forward? Perhaps we could start this time with Sean. Yes. So I think >>the one thing that we've learned and we started the journey was really created a culture of we versus by and the and the other thing that I think has really been important during this is management style of leadership style. I think I have had to change my leadership style from one of a servant leader because we're not in the plants now to be able to mentor coach people ends on I wonder what I'm going to call attentional leadership tension leadership. To me visibility. You still got to be seen. You still gotta be able to do things. So you got to use teams you got these virtual facetime Got to do something to make people feel engaged. You have to build trust. And remember, this has gone on for nine months. It's gonna go continue to go on a lot of the people you've never really met person yet. You have to have clarity. I think before we set goals at 123 years. Now it's 30 60 90 days because the environment keeps changing around us so fast. Diversity. You have to be very intentional about being reversed and who you slept on. Your team exclusivity. People still want to see you still want to hear you and they still want to be seen. And they still wanna hurt courage. It's x courage to speak up. It takes courage to create clarity. It takes courage to create a diverse team. It takes courage to create to lead in these chaotic times. So that's really the kind of the biggest takeaways that I've had a broken. >>Thank you, Jennifer. You wanna add anything to that? >>I love everything that Sean just said, Um, and in so many ways, it mirrors all of our key themes that we're thinking about in terms of um, you know, the goodness that we want to take from the past few months, um, and and really apply to our go forward strategy or even emphasize e guess the one the one that I would add, I think it it's probably like encompasses so much of that is really just having a bold, you know, the sort of power and believing in bold moves. So I think what's been so exciting is that we had this really quite bold idea moving Teoh. You know, the future is a hybrid, um, from a workplace strategy perspective and really seeing that embraced, um, and being pretty early on in terms of a company that was developing that strategy. And now seeing that you know, ah, lot of are are sort of competitors or peers or coming out with very similar vision statements, um, I think that that's really been a key learning. And that's been something that's, you know, that's cultural to HP. But really, the power of that kind of vision is, you know, having a sort of bold idea and going for >>it. Awesome. How about you, Albert? How >>do I beat these two? This is amazing. Um I think for me it's really an affirmation. So if I think about health care, we have this unique responsibility and opportunity privilege, if you will, to being involved in the most intimate times of patients. Lives and I have been so hardened by the commitment of our teams of our clinicians to be approachable, reachable even in this face, the pandemic and all these things we're all concerned about each and every day that we're committed to our patients. And, uh, and evidence of that. For example, Alcide, our net promoter score for video are Net net promoter score videos 82 which is on par for our in person clinical care and that that, to me reaffirms the power of relationships to connect to people and to care for people when they need us to care for them to empower them and whether it be the pace of change which we've adapted so quickly, or, um or just our ability to can do, you know we'll do, Um, it's really an affirmation that we were committed to helping people in their daily lives, and it's just an affirmation of the power of people in relationships. So, um, it's been really hardening time for all of us. >>Thank you all for such compelling and inspiring stories. I'm sure the audience will take away many tips and tricks on how to turn challenges into opportunities and strategic advantage moving forward, and now I'm going to turn it back to the Cube for the rest of the show.

Published Date : Nov 10 2020

SUMMARY :

And I'm thrilled to be here today with three So I'm gonna ask you to the Panelists to talk a little bit about what the organization is and Um, and it's a great opportunity to serve our community. could you pick up and tell us a little bit about what's going on at Kraft Heinz and what you've experienced? and all the productivity pipeline that goes with Gen Brent H P E. Tell us a little bit about what you were doing. Um, thes days, you know, given the cove in 19 impacts you know, in your case, could you talk a little bit about what happened when And prior to covet, we had 20 video visits per day on average, that it's simply amazing and shows the power of both the will of individuals And so we had to quickly address the pandemic and make sure that I think this is so critical because you want people to be able to go to work, to feel safe. in that where you know, in the in the past, workplace technology and some of these other pieces and collaborations that had to happen with the employee based to make sure that they were up to speed on and this thing you can attitudes really changed our culture. I'm excited for the transformation that we've had because I think it'll bring care Teoh a lot more people I mean, some of the I think there's four key things that we've learned during this. and the right technology, you can actually policing together quite quickly and continue And I think what's been what you know, what we've sort of been shown through the past sort of 67 months So to close out, I like each of you to tell me, what's the number one thing You have to be very intentional about being reversed and who you slept on. Thank you, Jennifer. And now seeing that you know, How about you, Albert? for our in person clinical care and that that, to me reaffirms the power of relationships to and strategic advantage moving forward, and now I'm going to turn it back to

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Eric Herzog, IBM & Sam Werner, IBM | CUBE Conversation, October 2020


 

(upbeat music) >> Announcer: From theCUBE Studios in Palo Alto and Boston, connecting with thought leaders all around the world. This is a CUBE conversation. >> Hey, welcome back everybody. Jeff Frick here with the CUBE, coming to you from our Palo Alto studios today for a CUBE conversation. we've got a couple of a CUBE alumni veterans who've been on a lot of times. They've got some exciting announcements to tell us today, so we're excited to jump into it, So let's go. First we're joined by Eric Herzog. He's the CMO and VP worldwide storage channels for IBM Storage, made his time on theCUBE Eric, great to see you. >> Great, thanks very much for having us today. >> Jeff: Absolutely. And joining him, I think all the way from North Carolina, Sam Werner, the VP of, and offering manager business line executive storage for IBM. Sam, great to see you as well. >> Great to be here, thank you. >> Absolutely. So let's jump into it. So Sam you're in North Carolina, I think that's where the Red Hat people are. You guys have Red Hat, a lot of conversations about containers, containers are going nuts. We know containers are going nuts and it was Docker and then Kubernetes. And really a lot of traction. Wonder if you can reflect on, on what you see from your point of view and how that impacts what you guys are working on. >> Yeah, you know, it's interesting. We talk, everybody hears about containers constantly. Obviously it's a hot part of digital transformation. What's interesting about it though is most of those initiatives are being driven out of business lines. I spend a lot of time with the people who do infrastructure management, particularly the storage teams, the teams that have to support all of that data in the data center. And they're struggling to be honest with you. These initiatives are coming at them, from application developers and they're being asked to figure out how to deliver the same level of SLAs the same level of performance, governance, security recovery times, availability. And it's a scramble for them to be quite honest they're trying to figure out how to automate their storage. They're trying to figure out how to leverage the investments they've made as they go through a digital transformation and keep in mind, a lot of these initiatives are accelerating right now because of this global pandemic we're living through. I don't know that the strategy's necessarily changed, but there's been an acceleration. So all of a sudden these storage people kind of trying to get up to speed or being thrown right into the mix. So we're working directly with them. You'll see, in some of our announcements, we're helping them, you know, get on that journey and provide the infrastructure their teams need. >> And a lot of this is driven by multicloud and hybrid cloud, which we're seeing, you know, a really aggressive move to before it was kind of this rush to public cloud. And that everybody figured out, "Well maybe public cloud isn't necessarily right for everything." And it's kind of this horses for courses, if you will, with multicloud and hybrid cloud, another kind of complexity thrown into the storage mix that you guys have to deal with. >> Yeah, and that's another big challenge. Now in the early days of cloud, people were lifting and shifting applications trying to get lower capex. And they were also starting to deploy DevOps, in the public cloud in order to improve agility. And what they found is there were a lot of challenges with that, where they thought lifting and shifting an application will lower their capital costs the TCO actually went up significantly. Where they started building new applications in the cloud. They found they were becoming trapped there and they couldn't get the connectivity they needed back into their core applications. So now we're at this point where they're trying to really, transform the rest of it and they're using containers, to modernize the rest of the infrastructure and complete the digital transformation. They want to get into a hybrid cloud environment. What we found is, enterprises get two and a half X more value out of the IT when they use a hybrid multicloud infrastructure model versus an all public cloud model. So what they're trying to figure out is how to piece those different components together. So you need a software-driven storage infrastructure that gives you the flexibility, to deploy in a common way and automate in a common way, both in a public cloud but on premises and give you that flexibility. And that's what we're working on at IBM and with our colleagues at Red Hat. >> So Eric, you've been in the business a long time and you know, it's amazing as it just continues to evolve, continues to evolve this kind of unsexy thing under the covers called storage, which is so foundational. And now as data has become, you know, maybe a liability 'cause I have to buy a bunch of storage. Now it is the core asset of the company. And in fact a lot of valuations on a lot of companies is based on its value, that's data and what they can do. So clearly you've got a couple of aces in the hole you always do. So tell us what you guys are up to at IBM to take advantage of the opportunity. >> Well, what we're doing is we are launching, a number of solutions for various workloads and applications built with a strong container element. For example, a number of solutions about modern data protection cyber resiliency. In fact, we announced last year almost a year ago actually it's only a year ago last week, Sam and I were on stage, and one of our developers did a demo of us protecting data in a container environment. So now we're extending that beyond what we showed a year ago. We have other solutions that involve what we do with AI big data and analytic applications, that are in a container environment. What if I told you, instead of having to replicate and duplicate and have another set of storage right with the OpenShift Container configuration, that you could connect to an existing external exabyte class data lake. So that not only could your container apps get to it, but the existing apps, whether they'll be bare-metal or virtualized, all of them could get to the same data lake. Wow, that's a concept saving time, saving money. One pool of storage that'll work for all those environments. And now that containers are being deployed in production, that's something we're announcing as well. So we've got a lot of announcements today across the board. Most of which are container and some of which are not, for example, LTO-9, the latest high performance and high capacity tape. We're announcing some solutions around there. But the bulk of what we're announcing today, is really on what IBM is doing to continue to be the leader in container storage support. >> And it's great, 'cause you talked about a couple of very specific applications that we hear about all the time. One obviously on the big data and analytics side, you know, as that continues to do, to kind of chase history of honor of ultimately getting the right information to the right people at the right time so they can make the right decision. And the other piece you talked about was business continuity and data replication, and to bring people back. And one of the hot topics we've talked to a lot of people about now is kind of this shift in a security threat around ransomware. And the fact that these guys are a little bit more sophisticated and will actually go after your backup before they let you know that they're into your primary storage. So these are two, really important market areas that we could see continue activity, as all the people that we talk to every day. You must be seeing the same thing. >> Absolutely we are indeed. You know, containers are the wave. I'm a native California and I'm coming to you from Silicon Valley and you don't fight the wave, you ride it. So at IBM we're doing that. We've been the leader in container storage. We, as you know, way back when we invented the hard drive, which is the foundation of almost this entire storage industry and we were responsible for that. So we're making sure that as container is the coming wave that we are riding that in and doing the right things for our customers, for our channel partners that support those customers, whether they be existing customers, and obviously, with this move to containers, is going to be some people searching for probably a new vendor. And that's something that's going to go right into our wheelhouse because of the things we're doing. And some of our capabilities, for example, with our FlashSystems, with our Spectrum Virtualize, we're actually going to be able to support CSI snapshots not only for IBM Storage, but our Spectrum Virtualize products supports over 500 different arrays, most of which aren't ours. So if you got that old EMC VNX2 or that HPE, 3PAR or aNimble or all kinds of other storage, if you need CSI snapshot support, you can get it from IBM, with our Spectrum Virtualize software that runs on our FlashSystems, which of course cuts capex and opex, in a heterogeneous environment, but gives them that advanced container support that they don't get, because they're on older product from, you know, another vendor. We're making sure that we can pull our storage and even our competitor storage into the world of containers and do it in the right way for the end user. >> That's great. Sam, I want to go back to you and talk about the relationship with the Red Hat. I think it was about a year ago, I don't have my notes in front of me, when IBM purchased Red Hat. Clearly you guys have been working very closely together. What does that mean for you? You've been in the business for a long time. You've been at IBM for a long time, to have a partner you know, kind of embed with you, with Red Hat and bringing some of their capabilities into your portfolio. >> It's been an incredible experience, and I always say my friends at Red Hat because we spend so much time together. We're looking at now, leveraging a community that's really on the front edge of this movement to containers. They bring that, along with their experience around storage and containers, along with the years and years of enterprise class storage delivery that we have in the IBM Storage portfolio. And we're bringing those pieces together. And this is a case of truly one plus one equals three. And you know, an example you'll see in this announcement is the integration of our data protection portfolio with their container native storage. We allow you to in any environment, take a snapshot of that data. You know, this move towards modern data protection is all about a movement to doing data protection in a different way which is about leveraging snapshots, taking instant copies of data that are application aware, allowing you to reuse and mount that data for different purposes, be able to protect yourself from ransomware. Our data protection portfolio has industry leading ransomware protection and detection in it. So we'll actually detect it before it becomes a problem. We're taking that, industry leading data protection software and we are integrating it into Red Hat, Container Native Storage, giving you the ability to solve one of the biggest challenges in this digital transformation which is backing up your data. Now that you're moving towards, stateful containers and persistent storage. So that's one area we're collaborating. We're working on ensuring that our storage arrays, that Eric was talking about, that they integrate tightly with OpenShift and that they also work again with, OpenShift Container Storage, the Cloud Native Storage portfolio from, Red Hat. So we're bringing these pieces together. And on top of that, we're doing some really, interesting things with licensing. We allow you to consume the Red Hat Storage portfolio along with the IBM software-defined Storage portfolio under a single license. And you can deploy the different pieces you need, under one single license. So you get this ultimate investment protection and ability to deploy anywhere. So we're, I think we're adding a lot of value for our customers and helping them on this journey. >> Yeah Eric, I wonder if you could share your perspective on multicloud management. I know that's a big piece of what you guys are behind and it's a big piece of kind of the real world as we've kind of gotten through the hype and now we're into production, and it is a multicloud world and it is, you got to manage this stuff it's all over the place. I wonder if you could speak to kind of how that challenge you know, factors into your design decisions and how you guys are about, you know, kind of the future. >> Well we've done this in a couple of ways in things that are coming out in this launch. First of all, IBM has produced with a container-centric model, what they call the Multicloud Manager. It's the IBM Cloud Pak for multicloud management. That product is designed to manage multiple clouds not just the IBM Cloud, but Amazon, Azure, et cetera. What we've done is taken our Spectrum Protect Plus and we've integrated it into the multicloud manager. So what that means, to save time, to save money and make it easier to use, when the customer is in the multicloud manager, they can actually select Spectrum Protect Plus, launch it and then start to protect data. So that's one thing we've done in this launch. The other thing we've done is integrate the capability of IBM Spectrum Virtualize, running in a FlashSystem to also take the capability of supporting OCP, the OpenShift Container Platform in a Clustered environment. So what we can do there, is on-premise, if there really was an earthquake in Silicon Valley right now, that OpenShift is sitting on a server. The servers just got crushed by the roof when it caved in. So you want to make sure you've got disaster recovery. So what we can do is take that OpenShift Container Platform Cluster, we can support it with our Spectrum Virtualize software running on our FlashSystem, just like we can do heterogeneous storage that's not ours, in this case, we're doing it with Red Hat. And then what we can do is to provide disaster recovery and business continuity to different cloud vendors not just to IBM Cloud, but to several cloud vendors. We can give them the capability of replicating and protecting that Cluster to a cloud configuration. So if there really was an earthquake, they could then go to the cloud, they could recover that Red Hat Cluster, to a different data center and run it on-prem. So we're not only doing the integration with a multicloud manager, which is multicloud-centric allowing ease of use with our Spectrum Protect Plus, but incase of a really tough situation of fire in a data center, earthquake, hurricane, whatever, the Red Hat OpenShift Cluster can be replicated out to a cloud, with our Spectrum Virtualize Software. So in most, in both cases, multicloud examples because in the first one of course the multicloud manager is designed and does support multiple clouds. In the second example, we support multiple clouds where our Spectrum Virtualize for public clouds software so you can take that OpenShift Cluster replicate it and not just deal with one cloud vendor but with several. So showing that multicloud management is important and then leverage that in this launch with a very strong element of container centricity. >> Right >> Yeah, I just want to add, you know, and I'm glad you brought that up Eric, this whole multicloud capability with, the Spectrum Virtualize. And I could see the same for our Spectrum Scale Family, which is our storage infrastructure for AI and big data. We actually, in this announcement have containerized the client making it very simple to deploy in Kubernetes Cluster. But one of the really special things about Spectrum Scale is it's active file management. This allows you to build out a file system not only on-premises for your, Kubernetes Cluster but you can actually extend that to a public cloud and it automatically will extend the file system. If you were to go into a public cloud marketplace which it's available in more than one, you can go in there click deploy, for example, in AWS Marketplace, click deploy it will deploy your Spectrum Scale Cluster. You've now extended your file system from on-prem into the cloud. If you need to access any of that data, you can access it and it will automatically cash you on locally and we'll manage all the file access for you. >> Yeah, it's an interesting kind of paradox between, you know, kind of the complexity of what's going on in the back end, but really trying to deliver simplicity on the front end. Again, this ultimate goal of getting the right data to the right person at the right time. You just had a blog post Eric recently, that you talked about every piece of data isn't equal. And I think it's really highlighted in this conversation we just had about recovery and how you prioritize and how you, you know, think about, your data because you know, the relative value of any particular piece might be highly variable, which should drive the way that you treated in your system. So I wonder if you can speak a little bit, you know, to helping people think about data in the right way. As you know, they both have all their operational data which they've always had, but now they've got all this unstructured data that's coming in like crazy and all data isn't created equal, as you said. And if there is an earthquake or there is a ransomware attack, you need to be smart about what you have available to bring back quickly. And maybe what's not quite so important. >> Well, I think the key thing, let me go to, you know a modern data protection term. These are two very technical terms was, one is the recovery time. How long does it take you to get that data back? And the second one is the recovery point, at what point in time, are you recovering the data from? And the reason those are critical, is when you look at your datasets, whether you replicate, you snap, you do a backup. The key thing you've got to figure out is what is my recovery time? How long is it going to take me? What's my recovery point. Obviously in certain industries you want to recover as rapidly as possible. And you also want to have the absolute most recent data. So then once you know what it takes you to do that, okay from an RPO and an RTO perspective, recovery point objective, recovery time objective. Once you know that, then you need to look at your datasets and look at what does it take to run the company if there really was a fire and your data center was destroyed. So you take a look at those datasets, you see what are the ones that I need to recover first, to keep the company up and rolling. So let's take an example, the sales database or the support database. I would say those are pretty critical to almost any company, whether you'd be a high-tech company, whether you'd be a furniture company, whether you'd be a delivery company. However, there also is probably a database of assets. For example, IBM is a big company. We have buildings all over, well, guess what? We don't lease a chair or a table or a whiteboard. We buy them. Those are physical assets that the company has to pay, you know, do write downs on and all this other stuff, they need to track it. If we close a building, we need to move the desk to another building. Like even if we leasing a building now, the furniture is ours, right? So does an asset database need to be recovered instantaneously? Probably not. So we should focus on another thing. So let's say on a bank. Banks are both online and brick and mortar. I happened to be a Wells Fargo person. So guess what? There's Wells Fargo banks, two of them in the city I'm in, okay? So, the assets of the money, in this case now, I don't think the brick and mortar of the building of Wells Fargo or their desks in there but now you're talking financial assets or their high velocity trading apps. Those things need to be recovered almost instantaneously. And that's what you need to do when you're looking at datasets, is figure out what's critical to the business to keep it up and rolling, what's the next most critical. And you do it in basically the way you would tear anything. What's the most important thing, what's the next most important thing. It doesn't matter how you approach your job, how you used to approach school, what are the classes I have to get an A and what classes can I not get an A and depending on what your major was, all that sort of stuff, you're setting priorities, right? And the dataset, since data is the most critical asset of any company, whether it's a Global Fortune 500 or whether it's Herzog Cigar Store, all of those assets, that data is the most valuable. So you've got to make sure, recover what you need as rapidly as you need it. But you can't recover all of it. You just, there's just no way to do that. So that's why you really ranked the importance of the data to use sameware, with malware and ransomware. If you have a malware or ransomware attack, certain data you need to recover as soon as you can. So if there, for example, as a, in fact there was one Jeff, here in Silicon Valley as well. You've probably read about the University of California San Francisco, ended up having to pay over a million dollars of ransom because some of the data related to COVID research University of California, San Francisco, it was the health care center for the University of California in Northern California. They are working on COVID and guess what? The stuff was held for ransom. They had no choice, but to pay them. And they really did pay, this is around end of June, of this year. So, okay, you don't really want to do that. >> Jeff: Right >> So you need to look at everything from malware and ransomware, the importance of the data. And that's how you figure this stuff out, whether be in a container environment, a traditional environment or virtualized environment. And that's why data protection is so important. And with this launch, not only are we doing the data protection we've been doing for years, but now taking it to the heart of the new wave, which is the wave of containers. >> Yeah, let me add just quickly on that Eric. So think about those different cases you talked about. You're probably going to want for your mission critically. You're going to want snapshots of that data that can be recovered near instantaneously. And then, for some of your data, you might decide you want to store it out in cloud. And with Spectrum Protect, we just announced our ability to now store data out in Google cloud. In addition to, we already supported AWS Azure IBM Cloud, in various on-prem object stores. So we already provided that capability. And then we're in this announcement talking about LTL-9. And you got to also be smart about which data do you need to keep, according to regulation for long periods of time, or is it just important to archive? You're not going to beat the economics nor the safety of storing data out on tape. But like Eric said, if all of your data is out on tape and you have an event, you're not going to be able to restore it quickly enough at least the mission critical things. And so those are the things that need to be in snapshot. And that's one of the main things we're announcing here for Kubernetes environments is the ability to quickly snapshot application aware backups, of your mission critical data in your Kubernetes environments. It can very quickly to be recovered. >> That's good. So I'll give you the last word then we're going to sign off, we are out of time, but I do want to get this in it's 2020, if I didn't ask the COVID question, I would be in big trouble. So, you know, you've all seen the memes and the jokes about really COVID being an accelerant to digital transformation, not necessarily change, but certainly a huge accelerant. I mean, you guys have a, I'm sure a product roadmap that's baked pretty far and advanced, but I wonder if you can speak to, you know, from your perspective, as COVID has accelerated digital transformation you guys are so foundational to executing that, you know, kind of what is it done in terms of what you're seeing with your customers, you know, kind of the demand and how you're seeing this kind of validation as to an accelerant to move to these better types of architectures? Let's start with you Sam. >> Yeah, you know I, and I think i said this, but I mean the strategy really hasn't changed for the enterprises, but of course it is accelerating it. And I see storage teams more quickly getting into trouble, trying to solve some of these challenges. So we're working closely with them. They're looking for more automation. They have less people in the data center on-premises. They're looking to do more automation simplify the management of the environment. We're doing a lot around Ansible to help them with that. We're accelerating our roadmaps around that sort of integration and automation. They're looking for better visibility into their environments. So we've made a lot of investments around our storage insights SaaS platform, that allows them to get complete visibility into their data center and not just in their data center. We also give them visibility to the stores they're deploying in the cloud. So we're making it easier for them to monitor and manage and automate their storage infrastructure. And then of course, if you look at everything we're doing in this announcement, it's about enabling our software and our storage infrastructure to integrate directly into these new Kubernetes, initiatives. That way as this digital transformation accelerates and application developers are demanding more and more Kubernetes capabilities. They're able to deliver the same SLAs and the same level of security and the same level of governance, that their customers expect from them, but in this new world. So that's what we're doing. If you look at our announcement, you'll see that across, across the sets of capabilities that we're delivering here. >> Eric, we'll give you the last word, and then we're going to go to Eric Cigar Shop, as soon as this is over. (laughs) >> So it's clearly all about storage made simple, in a Kubernetes environment, in a container environment, whether it's block storage, file storage, whether it be object storage and IBM's goal is to offer ever increasing sophisticated services for the enterprise at the same time, make it easier and easier to use and to consume. If you go back to the old days, the storage admins manage X amount of gigabytes, maybe terabytes. Now the same admin is managing 10 petabytes of data. So the data explosion is real across all environments, container environments, even old bare-metal. And of course the not quite so new anymore virtualized environments. The admins need to manage that more and more easily and automated point and click. Use AI based automated tiering. For example, we have with our Easy Tier technology, that automatically moves data when it's hot to the fastest tier. And when it's not as hot, it's cool, it pushes down to a slower tier, but it's all automated. You point and you click. Let's take our migration capabilities. We built it into our software. I buy a new array, I need to migrate the data. You point, you click, and we automatic transparent migration in the background on the fly without taking the servers or the storage down. And we always favor the application workload. So if the application workload is heavy at certain times a day, we slow the migration. At night for sake of argument, If it's a company that is not truly 24 by seven, you know, heavily 24 by seven, and at night, it slows down, we accelerate the migration. All about automation. We've done it with Ansible, here in this launch, we've done it with additional integration with other platforms. So our Spectrum Scale for example, can use the OpenShift management framework to configure and to grow our Spectrum Scale or elastic storage system clusters. We've done it, in this case with our Spectrum Protect Plus, as you saw integration into the multicloud manager. So for us, it's storage made simple, incredibly new features all the time, but at the same time we do that, make sure that it's easier and easier to use. And in some cases like with Ansible, not even the real storage people, but God forbid, that DevOps guy messes with a storage and loses that data, wow. So by, if you're using something like Ansible and that Ansible framework, we make sure that essentially the DevOps guy, the test guy, the analytics guy, basically doesn't lose the data and screw up the storage. And that's a big, big issue. So all about storage made simple, in the right way with incredible enterprise features that essentially we make easy and easy to use. We're trying to make everything essentially like your iPhone, that easy to use. That's the goal. And with a lot less storage admins in the world then there has been an incredible storage growth every single year. You'd better make it easy for the same person to manage all that storage. 'Cause it's not shrinking. It is, someone who's sitting at 50 petabytes today, is 150 petabytes the next year and five years from now, they'll be sitting on an exabyte of production data, and they're not going to hire tons of admins. It's going to be the same two or four people that were doing the work. Now they got to manage an exabyte, which is why this storage made simplest is such a strong effort for us with integration, with the Open, with the Kubernetes frameworks or done with OpenShift, heck, even what we used to do in the old days with vCenter Ops from VMware, VASA, VAAI, all those old VMware tools, we made sure tight integration, easy to use, easy to manage, but sophisticated features to go with that. Simplicity is really about how you manage storage. It's not about making your storage dumb. People want smarter and smarter storage. Do you make it smarter, but you make it just easy to use at the same time. >> Right. >> Well, great summary. And I don't think I could do a better job. So I think we'll just leave it right there. So congratulations to both of you and the teams for these announcement after a whole lot of hard work and sweat went in, over the last little while and continued success. And thanks for the, check in, always great to see you. >> Thank you. We love being on theCUBE as always. >> All right, thanks again. All right, he's Eric, he was Sam, I'm I'm Jeff, you're watching theCUBE. We'll see you next time, thanks for watching. (upbeat music)

Published Date : Nov 2 2020

SUMMARY :

leaders all around the world. coming to you from our Great, thanks very Sam, great to see you as well. on what you see from your point of view the teams that have to that you guys have to deal with. and complete the digital transformation. So tell us what you guys are up to at IBM that you could connect to an existing And the other piece you talked and I'm coming to you to have a partner you know, and ability to deploy anywhere. of what you guys are behind and make it easier to use, And I could see the same for and how you prioritize that the company has to pay, So you need to look at and you have an event, to executing that, you know, of security and the same Eric, we'll give you the last word, And of course the not quite so new anymore So congratulations to both of you We love being on theCUBE as always. We'll see you next time,

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John F Thompson V1


 

from around the globe it's thecube covering space and cyber security symposium 2020 hosted by cal poly hello everyone welcome to the space and cyber security symposium 2020 hosted by cal poly where the intersection of space and security are coming together i'm john furrier your host with thecube here in california i want to welcome our featured guest lieutenant general john f thompson with the united states space force approach to cyber security that's the topic of this session and of course he's the commander of the space and missile system center in los angeles air force base also heading up space force general thank you for coming on really appreciate you kicking this off welcome to the symposium hey so uh thank you very much john for that very kind introduction also uh very much thank you to cal poly uh for this opportunity to speak to this audience today also a special shout out to one of the organizers uh dustin brun for all of his work uh helping uh get us uh to this point uh ladies and gentlemen as uh as uh john mentioned uh i'm jt thompson uh i lead the 6 000 men and women of the united states space forces space and missile system center which is headquartered here at los angeles air force base in el segundo if you're not quite sure where that's at it's about a mile and a half from lax this is our main operating location but we do have a number of other operating locations around the country with about 500 people at kirtland air force base in albuquerque new mexico uh and about another 500 people on the front range of the rockies uh between colorado springs and uh and denver plus a smattering of other much smaller operating locations nationwide uh we're responsible for uh acquiring developing and sustaining the united states space force's critical space assets that includes the satellites in the space layer and also on the ground layer our ground segments to operate those satellites and we also are in charge of procuring launch services for the u.s space force and a number of our critical mission partners across the uh department of defense and the intelligence community um just as a couple of examples of some of the things we do if you're unfamiliar with our work we developed and currently sustained the 31 satellite gps constellation that satellite constellation while originally intended to help with global navigation those gps signals have provided trillions of dollars in unanticipated value to the global economy uh over the past three decades i mean gps is everywhere i think everybody realizes that agriculture banking the stock market the airline industry uh separate and distinct navigation systems it's really pervasive across both the capabilities for our department of defense and capabilities for our economy and and individuals billions of individuals across our country and the planet some of the other work we do for instance in the communications sector uh secure communications satellites that we design and build that link america's sons and daughters serving in the military around the world and really enable real-time support and comms for our deployed forces and those of our allies we also acquire uh infrared missile warning satellites uh that monitor the planet for missile launches and provide advanced warning uh to the u.s homeland and to our allies uh in case some of those missile launches are uh nefarious um on a note that's probably a lot closer to home maybe a lot closer to home than many of us want to think about here in the state of california in 2018 smc jumped through a bunch of red tape and bureaucracy uh to partner with the u.s forest service during the two of the largest wildfires in the state's history the camp and woolsey fires in northern california as those fires spread out of control we created processes on the fly to share data from our missile warning satellites those are satellites that are systems that are purpose built to see heat sources from thousands of miles above the planet and we collaborated with the us forest service so that firefighters on the ground uh could track those fires more in real time and better forecast fires and where they were spreading thereby saving lives and and property by identifying hot spots and flare-ups for firefighters that data that we were able to working with our contractors pass to the u.s forest service and authorities here in california was passed in less than an hour as it was collected to get it into the hands of the emergency responders the first responders as quickly as possible and doing that in an hour greatly surpassed what was available from some of the other assets in the airborne and ground-based fire spotters it was really instrumental in fighting those fires and stopping their spread we've continued uh that involvement in recent years using multiple systems to support firefighters across the western u.s this fall as they battled numerous wildfires that unfortunately continue working together with the u.s forest service and with other partners uh we like to make uh we like to think that we made a difference here but there's still a lot more work to go and i think that we should always be asking ourselves uh what else can space data be used for and how can we more rapidly get that space data to uh stakeholders so that they can use it for for purposes of good if you will how else can we protect our nation how else can we protect our friends and allies um i think a major component of the of the discussion that we will have throughout this conference is that the space landscape has changed rapidly and continues to change rapidly um just over the past few years uh john and i were talking before we went live here and 80 nations now have uh space programs 80 nearly 80 space faring nations on the planet um if you just look at one mission area that uh the department of defense is interested in and that's small launch there are currently over a hundred different small launch companies uh within the u.s industrial base vying for commercial dod and civil uh payload capabilities uh mostly to low earth orbit it's it's just truly a remarkable time if you factor in those things like artificial intelligence and machine learning um where we're revolutionary revolutionizing really uh the ways that we generate process and use data i mean it's really remarkable in 2016 so if you think about this four years ago uh nasa estimated that there were 28 terabytes of information transiting their space network each day and that was four years ago um uh obviously we've got a lot of desire to work with a lot of the people in the audience of this congress or in this conference uh we need to work with big thinkers like many of you to answer questions on how best we apply data analytics to extract value and meaning from that data we need new generations of thinkers to help apply cutting edge edge theories of data mining cyber behaviorism and internet of things 2.0 it's just truly a remarkable time uh to be in the space business and the cyber aspects of the states of the space business are truly truly daunting and important to uh to all of us um integrating cyber security into our space systems both commercial and government is a mandate um it's no longer just a nice to have as the us space force and department of the air force leadership has said many times over the past couple of years space is becoming congested and contested and that contested aspect means that we've got to focus on cyber security uh in the same way that the banking industry and cyber commerce focus on uh cyber security day in and day out the value of the data and services provided is really directly tied to the integrity and availability of that data and services from the space layer from the ground control segments associated with it and this value is not just military it's also economic and it's not just american it's also a value for the entire world particularly particularly our allies as we all depend upon space and space systems your neighbors and friends here in california that are employed at the space and missile system center uh work with network defenders we work with our commercial contractors and our systems developers um our international allies and partners to try and build as secure and resilient systems as we can from the ground up that keep the global commons of space free and open for exploration and for commerce um as john and i were talking earlier before we came online there's an aspect of cyber security for space systems especially for some of our legacy systems that's more how do we bolt this on because we fielded those space systems a number of years ago and the the challenges of cyber security in the space domain have grown so we have a part that we have to worry about bolting it on but then we have to worry about building it in as we as we field new systems and build in a flexibility that that realizes that the cyber threat or the cyber security landscape will evolve over time it's not just going to be stagnant there will always be new vulnerabilities and new threat vectors that we always have to look at look uh as secretary barrett who is our secretary of the air force likes to say most americans use space before they have their first cup of coffee in the morning the american way of life really depends on space and as part of the united states space force we work with defense leaders our congress joint and international military teammates and industry to ensure american leadership in space i really thank you for this opportunity to address the audience today john and thanks so much to cal poly for letting me be one of the speakers at this event i really look forward to this for uh several months and so with that i look forward to your questions as we kind of move along here general thank you very much for the awesome uh introductory statement uh for the folks watching on the stream brigadier general carthan is going to be in the chat answering any questions feel free to chat away he's the vice commander of space and missile systems center he'll be available um a couple comments from your keynote before i get to my questions because it just jumped in my head you mentioned the benefits of say space but the fires in california we're living that here that's really real time that's a benefit you also mentioned the ability for more people launching payloads into space and i only imagine moore's law smaller faster cheaper applies to rockets too so i'm imagining you have the benefits of space and you have now more potential objects flying out sanctioned and maybe unsanctioned so you know is it going to be more rules around that i mean this is an interesting question because it's exciting space force but for all the good there is potentially bad out there yeah so i i john i think the uh i think the basics of your question is as space becomes more congested and contested is there a need for more international norms of how satellites fly in space what kind of basic features satellites have to perhaps deorbit themselves what kind of basic protections does do all satellites should all satellites be afforded as part of a peaceful global commons of space i think those are all fantastic questions and i know that u.s and many uh allied policy makers are looking very very hard at those kinds of questions in terms of what are the norms of behavior and how we uh you know how how we field and field is the military term but you know how we uh populate uh using civil or uh commercial terms uh that space layer at different altitudes uh low earth orbit mid mid-earth orbit geosynchronous earth orbit different kinds of orbits uh what the kind of mission areas we accomplish from space that's all things that need to be definitely taken into account as uh as the place gets a little bit not a little bit as the place gets increasingly more popular day in and day out well i'm super excited for space force i know that a new generation of young folks are really interested in it's an emerging changing great space the focus here at this conference is space and cyber security intersection i'd like to get your thoughts on the approach that space force is taking to cyber security and how it impacts our national goals here in the united states yeah yeah so that's a that's a great question john let me let me talk about in two uh two basic ways but number one is and and i know um some people in the audience this might make them a little bit uncomfortable but i have to talk about the threat right um and then relative to that threat i really have to talk about the importance of uh of cyber and specifically cyber security as it relates to that threat um the threats that we face um really represent a new era of warfare and that new era of warfare involves both space and cyber uh we've seen a lot of action in recent months uh from certain countries notably china and russia uh that have threatened what i referred to earlier as the peaceful global commons of space for example uh it through many unclassified sources and media sources everybody should understand that um uh the russians have been testing on orbit uh anti-satellite capabilities it's been very clear if you were following just the week before last the department of defense released its uh 2020 military and security developments involving the people's republic of china um uh and uh it was very clear that china is developing asats electronic jammers directed energy weapons and most relevant to today's discussion offensive cyber uh capabilities there are kinetic threats uh that are very very easy to see but a cyber attack against a critical uh command and control site or against a particular spacecraft could be just as devastating to the system and our war fighters in the case of gps and important to note that that gps system also impacts many civilians who are dependent upon those systems from a first response perspective and emergency services a cyber attack against a ground control site could cause operators to lose control of a spacecraft or an attacker could feed spoofed data to a system to mislead operators so that they send emergency services personnel to the to the wrong address right attacks on spacecraft on orbit whether directly via a network of intrusion or enabled through malware introduced during the systems production uh while we're building the satellite can [ __ ] or corrupt the data denial of service type attacks on our global networks obviously would disrupt our data flow and interfere with ongoing operations and satellite control i mean if gps went down i you know i hesitate to say it this way because we might elicit some screams from the audience but if gps went down a starbucks wouldn't be able to handle your mobile order uber drivers wouldn't be able to find you and domino's certainly certainly wouldn't be able to get there in 30 minutes or less right so with a little bit of tongue-in-cheek there from a military operations perspective it's dead serious um uh we have become accustomed in the commercial world to threats like lance ransomware and malware and those things have unfortunately become commonplace in commercial terrestrial networks and computer systems however what we're seeing is that our adversaries with the increased competition in space these same techniques are being retooled if you will to use against our national security space systems uh day in and day out um as i said during my opening remarks on the importance of cyber the value of these systems is directly tied to their integrity if commanders in the field uh firefighters in california or baristas in in starbucks can't trust the data they see they're receiving then that really harms their decision-making capabilities one of the big trends we've recently seen is the mood move towards proliferated leo uh uh constellations obviously uh spacex's uh starlink uh on the commercial side and on the military side the work that darpa and my organization smc are doing on blackjack and casino as well as some space transport layer constellation work that the space development agency is designing are all really really important types of mesh network systems that will revolutionize how we plan and field warfighting systems and commercial communications and internet providing systems but they're also heavily reliant on cyber security uh we've got to make sure that they are secured to avoid an accident or international damage uh loss of control of these constellations really could be catastrophic from both a mission perspective or from uh you know satellites tumbling out of low earth orbit perspective another trend is introductions in artificial intelligence and machine learning on board spacecraft or at the edge our satellites are really not so much hardware systems with a little software anymore in the commercial sector and in the defense sector they're basically flying boxes full of software right and we need to ensure the data that we're getting out of those flying boxes full of software are helping us base our decisions on accurate data and algorithms govern governing the right actions and that those uh that those systems are impervious to the extent possible uh to nefarious uh modifications so in summation a cyber security is vital element of everything in our national security space goals and i would argue for our national uh goals uh writ large including uh economic and information uh uh dimensions uh the space force leadership at all levels uh from uh some of the brand new second lieutenants that general raymond uh swore into the space force this morning uh ceremonially from the uh air force association's air space and cyberspace conference uh to the various highest levels general raymond uh general d t thompson myself and a number of other senior leaders in this enterprise we've got to make sure that we're all working together to keep cyber security at the forefront of our space systems because it they absolutely depend on it you know you mentioned uh hardware software threats opportunities challenges i want to ask you because you you got me thinking of the minute there around infrastructure i mean we've heard critical infrastructure you know grids here on on earth you're talking about critical infrastructure a redefinition of what critical infrastructure is an extension of what we have so i'd love to get your thoughts about space force's view of that critical infrastructure vis-a-vis the threat vectors because you know the term threat vectors has been kicked around in the cyber space oh yeah threat vectors they're always increasing the surface area well if the surface area is from space it's an unlimited surface area so you got different vectors so you got new critical infrastructure developing real time really fast and you got an expanded threat vector landscape putting that in perspective for the folks that aren't really inside the ropes on these critical issues how would you explain this and how would you talk about those two things well so i tell you um i just like um uh just like uh i'm sure people in the security side or the cyber security side of the business in the banking industry feel they feel like it's uh all possible threat vectors represent a dramatic and protect potentially existential threat to all of the dollars that they have in the banking system to the financial sector on the department of defense side we've got to have sort of the same mindset um that threat vector from to and through space against critical space systems ground segments the launch enterprise or transportation uh to orbit and the various different uh domains within uh within space itself like i mentioned before uh leo mio and geo-based satellites with different orbits all of the different mission areas that are accomplished from space that i mentioned earlier some that i didn't mention like weather tactical or wide band communications uh various new features of space control all of those are things that we have to worry about from a cyber security uh threat perspective and it's a it's a daunting challenge right now right yeah it's awesome and one of the things we've been following on the hardware side here in the on the ground is the supply chain we've seen you know malware being you know really put into really obscure hardware who manufactures it as being outsourced obviously government has restrictions but with the private sector uh you mentioned china and and the us kind of working together across these these peaceful areas but you got to look at the supply chain how does the supply chain the security aspect impact the mission of the u.s space force yeah yeah so so um how about another um just in terms of an example another kind of california-based historical example right um the very first u.s satellite uh explorer one was built by uh the jet propulsion uh laboratory folks uh not far from here in el segundo up in uh up in pasadena um that satellite when it was first built in the late 50s uh weighed a little bit over 30 pounds and i'm sure that each and every part was custom made and definitely made by u.s companies fast forward to today the global supply chain is so tightly coupled and frankly many industries are so specialized almost specialized regionally around the planet we focus every day to guarantee the integrity of every component that we put in our space systems is absolutely critical to the operations of those satellites and we're dependent upon them but it becomes more difficult and more difficult to understand the the heritage if you will of some of the parts that are used the thousands of parts that are used in some of our satellites that are literally school bus sized right the space industry especially uh national security space sector um uh is relatively small compared to other commercial industries and we're moving to towards using more and more parts uh from non-us companies uh cyber security and cyber awareness have to be baked in from the beginning if we're going to be using parts that maybe we don't necessarily um understand 100 percent like an explorer one uh the the lineage of that particular part the environmental difficulties in space are well known the radiation environment the temperature extremes the vacuum those require specialized component and the us military is not the only uh customer in that space in fact we're definitely not the dominant customer uh in space anymore all those factors require us along with our other government partners and many different commercial space organizations to keep a very close eye on our supply chains from a quality perspective a security perspective and availability um there's open source reporting on supply training intrusions from um many different breaches of commercial retailers to the infectious spread of uh you know compromised patches if you will and our adversaries are aware of these techniques as i mentioned earlier with other forms of attack considering our supply chains and development networks really becomes fair game for our adversaries so we have to uh take that threat seriously um between the government and industry sectors here in the u.s we're also working with our industry partners to enact stronger defenses and assess our own vulnerabilities last fall we completed an extensive review of all of our major contracts here at space and missile system center to determine the levels of cyber security requirements we've implemented across our portfolio and it sounds really kind of you know businessy geeky if you will you know hey we looked at our contracts to make sure that we had the right clauses in our contracts to address cyber security as dynamically as we possibly could and so we found ourselves having to add new language to our contracts to require system developers to implement some more advanced uh protective measures in this evolving cyber security environment so that data handling and supply chain perspective uh protections um from contract inception to launch and operations were taken into account uh cyber security really is a key performance parameter for us now it's as important as the the mission performance of the system it's as important as cost it's as important as schedule because if we deliver the perfect system on time and on cost uh it can perform that missile warning or that communications mis mission perfectly but it's not cyber secure if it doesn't have cyber protections built into it or the ability to implement mitigations against cyber uh threats then we've essentially fielded a shoe box in space that doesn't do the k the the war fighter or the nation uh any good um supply chain risk management is a is a major challenge for us uh we're doing a lot to coordinate with our industry partners uh we're all facing it head on uh to try and build secure and trusted components uh that keep our confidence as leaders firefighters and baristas uh as the case may be uh but it is a challenge and we're trying to rise to that challenge you know this so exciting this new area because it really touches everything you know talk about geeking out on on the tech the hardware the systems but also you put your kind of mba hat on you go what's the roi of the extra development and how you how things get built because the always the exciting thing for space geeks is like you're building cool stuff people love it's it's exciting but you still have to build and cyber security has proven that security has to be baked in from the beginning and be thought as a system architecture so you're still building things which means you've got to acquire things you got to acquire parts you got to acquire build software and and sustain it how is security impacting the acquisition and the sustainment of these systems for space yeah from initial development uh through planning for the acquisition design development fielding or production fielding and sustainment it impacts all aspects of of the life cycle john uh we simply especially from the concept of baking in cyber security uh we can't wait until something is built and then try and figure out how to make it cyber secure so we've moved way further uh towards working side by side with our system developers to strengthen cyber security from the very beginning of a system's development cyber security and the resilience associated with it really have to be treated as a key system attribute as i mentioned earlier equivalent with data rates or other metrics of performance we like to talk in uh in the space world about uh mission assurance and mission assurance has always you know sort of taken us as we as we technically geek out right mission assurance has always taken us to the will this system work in space right can it work in a vacuum can it work in you know as it as it uh you know transfers through uh the van allen radiation belt or through the the um the southern hemisphere's electromagnetic anomaly right will it work out in space and now from a resiliency perspective yeah it has to work in space it's got to be functional in space but it's also got to be resistant to these cyber security threats it's it's not just i think uh general dt thompson quoted this term it's not just widget assurance anymore it's mission assurance um uh how does that satellite uh operator that ground control segment operate while under attack so let me break your question a little bit uh just for purposes of discussion into into really two parts uh cyber uh for cyber security for systems that are new and cyber security uh for systems that are in sustainment or kind of old and legacy um obviously there's cyber vulnerabilities that threaten both and we really have to employ different strategies for for defense of of each one for new systems uh we're desperately trying to implement across the department of defense in particular in the space world a kind of a devsecops methodology and practice to delivering software faster and with greater security for our space systems here at smc we have a program called enterprise ground services which is a tool kit basically a collection of tools for common command and control of different satellite systems egs as we call it has an integrated suite for defensive cyber capabilities network operators can use these tools to gain unprecedented insight to data flows and to monitor space network traffic for anomalies or other potential indicators of of bad behavior malicious behavior if you will um uh it's rudimentary at this point but because we're using devsecops and that incremental development approach as we scale it it just becomes more and more capable you know every every product increment that we field here at uh at uh la air force base uh uh we have the united space space forces west coast software factory which we've dubbed kobayashi maru they're using those agile devops uh software development practices uh to deliver uh space awareness software uh to the combined space operations center uh affectionately called the csp that c-spock is just down the road uh from cal poly uh there in san luis obispo at vandenberg air force base they've securely linked the c-spock with other space operation centers around the planet our allies australia canada and the uk uh we're partnering with all of them to enable secure and enhanced combined space operations so lots of new stuff going on as we bake in new development uh capabilities for our our space systems but as i mentioned earlier we've got large constellations on satellite of satellites on orbit right now some of them are well in excess of a decade or more old on orbit and so the design aspects of those satellites are several decades old and so but we still have to worry about them because they're critical to our space capabilities um we've been working with an air force materiel command organization uh called crows which stands for the cyber resiliency office for uh weapon systems to assess all of those legacy platforms from a cyber security perspective and develop defensive strategies and potential hardware and software upgrades to those systems to better enable them to to live through this increasingly cyber security uh concerned era that we currently live in our industry partners have been critical to to both of those different avenues both new systems and legacy systems we're working closely with them to defend and upgrade uh national assets and develop the capabilities to do similar with uh with new national assets coming online the vulnerabilities of our space systems really kind of threaten the way we've done business in the past both militarily and in the case of gps economically the impacts of that cyber security risk are clear in our acquisition and sustainment processes but i've got to tell you it that as the threat vectors change as the vulnerabilities change we've got to be nimble enough agile enough to be able to bounce back and forth we can't just say uh many people in the audience are probably familiar with the rmf or the risk management framework approach to um to reviewing uh the cyber security of a system we can't have program managers and engineers just accomplish an rmf on a system and then hey high five we're all good uh it's a journey not a destination that's cyber security and it's a constant battle rhythm throughout a weapon systems life cycle not just a single event i want to get to this commercial business needs and your needs on the next question but before i go there you mentioned the agile and i see that clearly because when you have accelerated innovation cycles you've got to be faster and we saw this in the computer industry mainframes mini computers and then when you started getting beyond me when the internet hit and pcs came out you saw the big enterprises the banks and and government start to work with startups it used to be a joke in the entrepreneurial circles is that you know there's no way if you're a startup you're ever going to get a contract with a big business enterprise now that used to be for public sector and certainly uh for you guys so as you see startups out there and there's acquisition involved i'm sure would love to love to have a contract with space force there's an roi calculation where if it's in space and you have a sustainment view edit software you might have a new kind of business model that could be attractive to startups could you share your thoughts on the folks who want to be a supplier to you uh whether they're a startup or an existing business that wants to be agile but they might not be that big company we are john that's a fantastic question we are desperately trying to reach out to to those new space advocates to those startups to those um what we sometimes refer to within the department of defense those non-traditional uh defense contractors a couple of things just for uh thinking purposes on some of the things that we're trying to highlight um uh three years ago we created here at uh space and missile system center uh the space enterprise consortium uh to provide a platform uh a contractual vehicle really to enable us to rapidly prototype uh development of space systems and to collaborate uh between the u.s space force uh traditional defense contractors non-traditional vendors like startups and even some academic institutions uh spec as we call it space enterprise consortium uses a specialized contracting tool to get contracts uh awarded quickly many in the audience may be familiar with other transaction agreements and that's what spec is based on and so far in just three years spec has awarded 75 different uh prototyping contracts worth over 800 million dollars with a 36 reduction in time to award and because it's a consortium based competition for um for these kinds of prototyping efforts the barrier to entry for small and non-traditional for startups even for academic institutions to be able to compete for these kinds of prototypings is really lowered right um uh these types of partnerships uh that we've been working through on spec uh have really helped us work with smaller companies who might not have the background or expertise in dealing with the government or in working with cyber security uh for their systems both their developmental systems and the systems that they're designing and trying to build we want to provide ways for companies large and small to partner together and support um uh kind of mutually beneficial uh relationships between all um recently uh at the annual air force association uh conference that i mentioned earlier i moderated a panel with several space industry leaders uh all from big traditional defense contractors by the way and they all stressed the importance of building bridges and partnerships uh between major contractors in the defense industry and new entrants uh and that helps us capture the benefits of speed and agility that come with small companies and startups as well as the expertise and specialized skill sets of some of those uh larger contractors uh that we rely on day in and day out advanced cyber security protections and utilization of secure facilities are just a couple of things that i think we could be prioritizing more so in those collaborations as i mentioned earlier the spec has been very successful in awarding a number of different prototyping contracts and large dollar values and it's just going to get better right there's over 400 members of the space enterprise consortium 80 of them are non-traditional kinds of vendors and we just love working with them another thing that many people in the audience may be familiar with in terms of our outreach to innovators uh if you will and innovators that include uh cyber security experts is our space pitch day events right so we held our first event last november in san francisco uh where we awarded over a two-day period about 46 million dollars to 30 different companies um that had potentially game-changing ideas these were phase two small business innovative research efforts uh that we awarded with cash on the spot uh we're planning on holding our second space pitch day in the spring of 2021. uh we're planning on doing it right here in los angeles uh covent 19 environment permitting um and we think that these are you know fantastic uh uh venues for identifying and working with high-speed startups startups and small businesses who are interested in uh really truly partnering with the us air force it's a as i said before it's a really exciting time to be a part of this business uh and working with the innovation economy uh is something that the department of defense uh really needs to do in that um the innovation that we used to think was ours you know that 80 percent of the industrial-based innovation that came from the department of defense uh the the script has been flipped there and so now more than 70 percent uh particularly in space innovation uh comes from the commercial sector not from uh not from the defense business itself and so um that's a tsunami of uh investment and a tsunami of uh capability and i need to figure out how to get my surfboard out and ride it you know what i mean yeah i mean it's one of those things where the flip the script has been flipped but it's exciting because it's impacting everything are you talking about systems architecture you're talking about software you're talking about a business model you talk about devsecops from a technical perspective but now you have a business model innovation all the theaters of uh are exploding in innovation technical business personnel this brings up the workforce challenge you've got the cyber needs for the u.s space force there's probably a great roi model for new kinds of software development that could be priced into contracts that's a entrepreneurial innovation you got the the business model theater you've got the personnel how does the industry adopt and change you guys are clearly driving this how does the industry adjust to you yeah so um i think a great way to answer that question is to just talk about the kind of people that we're trying to prioritize in the u.s space force from a from an acquisition perspective and in this particular case from a from a cyber security perspective as i mentioned earlier it's the most exciting time to be in space programs uh really since the days of apollo um uh you know just to put it in terms that you know maybe have an impact with the audience uh from 1957 until today approximately 9 000 satellites uh have been launched from the various space faring countries around the planet uh less than two thousand of those nine thousand are still up on orbit and operational and yet in the new space regime um players like spacex have plans to launch you know 12 000 satellites for some of their constellations alone it really is a remarkable time in terms of innovation and fielding of space capabilities and all of those space capabilities whether they're commercial civil or defense are going to require appropriate cyber security uh protections it's just a really exciting time uh to be working in stuff like this and so uh folks like the folks in this audience who have a passion about space and a passion about cyber security are just the kind of people that we want to work with because we need to make sure our systems are are secure and resilient we need folks that have technical and computing expertise engineering skills to be able to design cybersecure systems that can detect and mitigate attacks uh but we also as you alluded to we need people that have that business and um you know business acumen human networking background so that we can launch the startups and work with the non-traditional businesses uh help to bring them on board help to secure both their data and our data and uh and and make sure our processes and systems are are free as much as possible from uh uh from attack um for preparation for for audience members who are young and maybe thinking about getting into this uh trade space um you gotta be smart on digital networking uh you gotta understand basic internet protocols concepts uh programming languages uh database design uh learn what you can from penetration or vulnerability testing and and uh risk assessment i will tell you this and i don't think he will i know he will not mind me telling you this but you've got to be a lifelong learner and so two years ago i'm at home one evening and i get a phone call on my cell phone and it's my boss the commander of air force space command uh general j raymond who is now currently the chief of space operations and he is on temporary duty flying overseas he lands where he's going and he first thing he does when he lands is he calls me and he goes jt um while i was traveling um i noticed that there were e-books available on the commercial airliner i was traveling on and there was an e-book on something called scrumming and agile devsecops and i read it have you read it um and i said no sir but if you tell me what the title of the book is i will read it and so i got to go to my staff meeting um you know the very next week the next time we had a staff meeting and tell everybody in the stab meeting hey if the four star and the three star can read the book about scrumming then i'm pretty sure all of you around this table and all our lieutenants and our captains our gs13s all of our government employees can get smart on uh the scrumming development process and interestingly as another side i had a telephone call with him last year during the holidays where he was trying to take some leave and i said sir what are you up to today are you are you you know making eggnog for the event tonight or whatever and the chief of space operations told me no i'm trying to teach myself python i'm at lesson two and it's not going so well but i'm i'm gonna figure this out and so that kind of thing if the chief of staff or the you know the the the chief of space operations can prioritize scrumming and python language and innovation in his daily schedule then we're definitely looking for other people who can do that and we'll just say lower levels of rank uh throughout our entire space force enterprise um look i i we don't need to need people that can code a satellite from scratch but we need to know we need to have people that have a basic grasp of the programming basics and cyber security requirements and that can turn those things into into meaningful actions obviously in the space domain things like basic physics and orbital mechanics are also important uh space is not an intuitive uh domain so under understanding how things survive uh on orbit is really critical to making the right design and operational decisions and you know i know there's probably a lot because of this conference i know there's a probably a whole lot of high-speed cyber security experts out in the audience and i need those people in the u.s space force the the country is counting on it but i wouldn't discount having people that are just cyber aware or cyber savvy right i have contracting officers and logisticians and program managers and they don't have to be high-end cyber security experts but they have to be aware enough about it to be able to implement cyber security protections um into our space system so the skill set is is really really broad um our adversaries are pouring billions of dollars into uh define designing uh and fielding offensive and destructive space cyber security weapons right they've repeatedly shown really a blatant disregard of safety and international norms for good behavior on orbit and the cyber security aspects of our space systems is really a key battleground going forward so that we can maintain that as i mentioned before peaceful uh global commons of space we really need all hands on deck if you're interested in helping in uniform if you're interested in helping uh not in uniform uh but as a government employee a commercial or civil employee to help us make cyber security more important uh or more cape more able to be developed for our space systems then we'd really love to uh to work with you or have you on the team to build that safe and secure future for our space systems lieutenant general john thompson great insight thank you for sharing all that awesome stories too and motivation for the young next generation the united states space force approach of cyber security really amazing talk thank you for your time final parting question is as you look out and you had your magic wand what's your view for the next few years in terms of things that we could accomplish it's a super exciting time what do you hope for so um um first of all john thanks to you and and thanks to cal poly uh for the invitation and and thanks to everybody for uh for their interest in cyber security especially as it relates to space systems that's here at the conference um uh there's a quote and i'll read it here uh from uh bernard schriever who was the uh the founder if you will uh a legend in uh dod space the founder of the western development division which was a predecessor organization to space and missile systems center general shrever i think captures the essence of what how we see the next couple of years the world has an ample supply of people who can always come up with a dozen good reasons why new ideas will not work and should not be tried but the people who produce progress are breed apart they have the imagination the courage and the persistence to find solutions and so i think if you're hoping that the next few years of space innovation and cyber security innovation are going to be a pony ride at the county fair then perhaps you should look for another line of work because i think the next few years in space and cyber security innovation are going to be more like a rodeo um and a very dynamic rodeo as it goes it is a an awesome privilege to be part of this ecosystem it's really an honor for me to um to be able to play some small role uh in the space ecosystem and trying to improve it uh while i'm trying to improve the chances of uh of the united states of america in a uh in a space war fighting uh uh environment um and so i thank all of you for uh participating today and for this little bit of time that you've allowed me to share with you thank you sir thank you for your leadership and thank you for the for the time for this awesome event space and cyber security symposium 2020 i'm john furrier on behalf of cal poly thanks for watching [Music]

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John F Thompson V1 FOR REVIEW


 

>> Narrator: From around the globe. It's theCUBE covering space in cybersecurity symposium 2020 hosted by Cal Poly. >> Hello, everyone. Welcome to the space and cybersecurity symposium, 2020 hosted by Cal Poly where the intersection of space and security are coming together. I'm John Furrier, your host with theCUBE here in California. I want to welcome our featured guest, Lieutenant General, John F. Thompson with the United States Space Force approach to cybersecurity. That's the topic of this session. And of course he's the commander of the space and missile system center in Los Angeles Air Force Base. Also heading up Space Force. General, thank you for coming on. I really appreciate to you kicking this off. Welcome to the symposium. >> Hey, so thank you very much, John, for that very kind introduction. Also very much thank you to Cal Poly for this opportunity to speak to this audience today. Also a special shout out to one of the organizers, Dustin Debrun, for all of his work, helping get us to this point. Ladies and gentlemen as a John mentioned, I'm JT Thompson. I lead the 6,000 men and women of the United States Space Force's Space and Missile System Center, which is headquartered here at Los Angeles Air Force Base and El Segundo. If you're not quite sure where that's at, it's about a mile and a half from LAX. This is our main operating location, but we do have a number of other operating locations around the country. We're about 500 people at Kirtland Air Force Base in Albuquerque, New Mexico, and an about another 500 people on the front range of the Rockies between Colorado Springs and Denver plus a smattering of other much smaller operating locations nationwide. We're responsible for acquiring, developing and sustaining the United States Space Force's, critical space assets. That includes the satellites in the space layer and also on the ground layer our ground segments to operate those satellites. And we also are in charge of procuring launch services for the US Space Force and a number of our critical mission partners across the Department of Defense and the intelligence community. Just as a couple of examples of some of the things we do, if you're unfamiliar with our work we developed and currently sustain the 31 satellite GPS constellation that satellite constellation, while originally intended to help with global navigation, those GPS signals have provided trillions of dollars in unanticipated value to the global economy over the past three decades. GPS is everywhere. I think everybody realizes that. Agriculture, banking, the stock market, the airline industry, separate and distinct navigation systems. It's really pervasive across both capabilities for our Department of Defense and capabilities for our economy and individuals, billions of individuals across our country and the planet. Some of the other work we do for instance, in the communications sector, secure communications satellites that we designed and build that link America's sons and daughters serving in the military around the world and really enable real time support and comms for our deployed forces. And those of our allies. We also acquire infrared missile warning satellites that monitor the planet for missile launches that provide advanced warning to the US Homeland and to our allies in case some of those missile launches are nefarious. On a note, that's probably a lot closer to home, maybe a lot closer to home than many of us want to think about here in the state of California. In 2018, SMC jumped through a bunch of red tape and bureaucracy to partner with the US Forest Service during two of the largest wildfires in the state's history, the Camp and Woolsey fires in Northern California. As those fires spread out of control, we created processes on the fly to share data from our missile warning satellites. Those are satellites that are systems that are purpose built to see heat sources from thousands of miles above the planet. And we collaborated with the US Forest Service so that firefighters on the ground could track those fires more in real time and better forecast fires and where they were spreading, thereby saving lives and property by identifying hotspots and flareups for firefighters. That data that we were able to working with our contractors pass to the US Forest Service and authorities here in California, was passed in less than an hour as it was collected to get it into the hands of the emergency responders, the first responders as quickly as possible and doing that in an hour greatly surpassed what was available from some of the other assets in the airborne and ground-based fire spotters. It was really instrumental in fighting those fires and stopping their spread. We've continued that involvement in recent years, using multiple systems to support firefighters across the Western US this fall, as they battled numerous wildfires that unfortunately continue. Working together with the US Forest Service and with other partners we'd like to think that we've made a difference here, but there's still a lot more work to go. And I think that we should always be asking ourselves what else can space data be used for and how can we more rapidly get that space data to stakeholders so that they can use it for purposes of good, if you will. How else can we protect our nation? How else can we protect our friends and allies? I think a major component of the discussion that we will have throughout this conference is that the space landscape has changed rapidly and continues to change rapidly. Just over the past few years, John and I were talking before we went live here and 80 nations now have space programs. Nearly 80 space faring nations on the planet. If you just look at one mission area that the Department of Defense is interested in, and that's small launch, there are currently over 100 different small launch companies within the US industrial base vying for commercial DoD and civil payload capabilities, mostly to lower earth orbit. It's truly a remarkable time. If you factor in those things like artificial intelligence and machine learning, where we're revolutionizing really, the ways that we generate process and use data. It's really remarkable. In 2016, so if you think about this four years ago, NASA estimated that there were 28 terabytes of information transiting their space network each day. And that was four years ago. Obviously we've got a lot of desire to work with a lot of the people in the audience in this conference, we need to work with big thinkers, like many of you to answer questions on how best we apply data analytics to extract value and meaning from that data. We need new generations of thinkers to help apply cutting edge theories of data mining, cyber behaviorism, and Internet of Things 2.0, it's just truly a remarkable time to be in the space business and the cyber aspects of the space business are truly, truly daunting and important to all of us. Integrating cyber security into our space systems, both commercial and government is a mandate. it's no longer just a nice to have as the US Space Force and Department of the Air Force leadership has said many times over the past couple of years, space is becoming congested and contested. And that contested aspect means that we've got to focus on cyber security in the same way that the banking industry and cyber commerce focus on cybersecurity day in and day out. The value of the data and services provided is really directly tied to the integrity and availability of that data and services from the space layer, from the ground control segments associated with it. And this value is not just military, it's also economic and it's not just American, it's also a value for the entire world, particularly our allies, as we all depend upon space and space systems. Your neighbors and friends here in California that are employed at the space and missile system center work with network defenders. We work with our commercial contractors and our systems developers, our international allies and partners to try and build as secure and resilient systems as we can from the ground up that keep the global comments of space free and open for exploration and for commerce as John and I were talking earlier, before we came online, there's an aspect of cybersecurity for space systems, especially for some of our legacy systems, that's more, how do we bolt this on? Cause we fielded those space systems a number of years ago, and the challenges of cybersecurity in the space domain have grown. So we have a part that we have to worry about, bolting it on, but then we have to worry about building it in as we field new systems and build in a flexibility that realizes that the cyber threat or the cybersecurity landscape will evolve over time. It's not just going to be stagnant. There will always be new vulnerabilities and new threat vectors that we all have to look at. Look, as Secretary Barrett, who is our secretary of the air force likes to say most Americans use space before they have their first cup of coffee in the morning. The American way of life really depends on space. And as part of the United States Space Force, we work with defense leaders, our Congress joint, and international military teammates and industry to ensure American leadership in space. I really thank you for this opportunity to address the audience today, John, and thanks so much to Cal Poly for letting me be one of the speakers at this event. I've really looked forward to this for several months. And so with that, I look forward to your questions as we kind of move along here. >> General, thank you very much for those awesome introductory statement. For the folks watching on the stream, Brigadier General Carthan's going to be in the chat, answering any questions, feel free to chat away. He's the vice commander of Space and Missile System Center, he'll be available. A couple of comments from your keynote before I get to my questions. Cause it just jumped into my head. You mentioned the benefits of say space with the fires in California. We're living that here. That's really realtime. That's a benefit. You also mentioned the ability for more people launching payloads into space. I'm only imagined Moore's law smaller, faster, cheaper applies to rockets too. So I'm imagining you have the benefits of space and you have now more potential objects flying out sanctioned and maybe unsanctioned. So is it going to be more rules around that? This is an interesting question cause it's exciting Space Force, but for all the good there is potentially bad out there. >> Yeah. So John, I think the basics of your question is as space becomes more congested and contested, is there a need for more international norms of how satellites fly in space? What kind of basic features satellites have to perhaps de orbit themselves? What kind of basic protections should all satellites be afforded as part of a peaceful global commons of space? I think those are all fantastic questions. And I know that US and many allied policy makers are looking very, very hard at those kinds of questions in terms of what are the norms of behavior and how we field, and field as the military term. But how we populate using civil or commercial terms that space layer at different altitudes, lower earth orbit, mid earth orbit, geosynchronous earth orbit, different kinds of orbits, what the kind of mission areas we accomplished from space. That's all things that need to be definitely taken into account as the place gets a little bit, not a little bit as the place gets increasingly more popular day in and day out. >> I'm super excited for Space Force. I know that a new generation of young folks are really interested in it's an emerging, changing great space. The focus here at this conference is space and cybersecurity, the intersection. I'd like to get your thoughts on the approach that a space force is taking to cybersecurity and how it impacts our national goals here in the United States. >> Yeah. So that's a great question John, let me talk about it in two basic ways. At number one is an and I know some people in the audience, this might make them a little bit uncomfortable, but I have to talk about the threat. And then relative to that threat, I really have to talk about the importance of cyber and specifically cyber security, as it relates to that threat. The threats that we face really represented a new era of warfare and that new era of warfare involves both space and cyber. We've seen a lot of action in recent months from certain countries, notably China and Russia that have threatened what I referred to earlier as the peaceful global commons of space. For example, it threw many unclassified sources and media sources. Everybody should understand that the Russians have been testing on orbit anti-satellite capabilities. It's been very clear if you were following just the week before last, the Department of Defense released its 2020 military and security developments involving the People's Republic of China. And it was very clear that China is developing ASATs, electronic jammers, directed energy weapons, and most relevant to today's discussion, offensive cyber capabilities. There are kinetic threats that are very, very easy to see, but a cyber attack against a critical command and control site or against a particular spacecraft could be just as devastating to the system and our war fighters in the case of GPS and important to note that that GPS system also impacts many civilians who are dependent on those systems from a first response perspective and emergency services, a cyber attack against a ground control site could cause operators to lose control of a spacecraft or an attacker could feed spoofed data to assist them to mislead operators so that they sent emergency services personnel to the wrong address. Attacks on spacecraft on orbit, whether directly via a network intrusion or enabled through malware introduced during the system's production while we're building the satellite can cripple or corrupt the data. Denial-of-service type attacks on our global networks obviously would disrupt our data flow and interfere with ongoing operations and satellite control. If GPS went down, I hesitate to say it this way, cause we might elicit some screams from the audience. But if GPS went down a Starbucks, wouldn't be able to handle your mobile order, Uber drivers wouldn't be able to find you. And Domino's certainly wouldn't be able to get there in 30 minutes or less. So with a little bit of tongue in cheek there from a military operations perspective, it's dead serious. We have become accustomed in the commercial world to threats like ransomware and malware. And those things have unfortunately become commonplace in commercial terrestrial networks and computer systems. However, what we're seeing is that our adversaries with the increased competition in space these same techniques are being retooled, if you will, to use against our national security space systems day in and day out. As I said, during my opening remarks on the importance of cyber, the value of these systems is directly tied to their integrity. If commanders in the field, firefighters in California or baristas in Starbucks, can't trust the data they're receiving, then that really harms their decision making capabilities. One of the big trends we've recently seen is the move towards proliferated LEO constellations, obviously Space X's Starlink on the commercial side and on the military side, the work that DARPA and my organization SMC are doing on Blackjack and Casino, as well as some space transport layer constellation work that the space development agency is designing are all really, really important types of mesh network systems that will revolutionaries how we plan and field war fighting systems and commercial communications and internet providing systems. But they're also heavily reliant on cybersecurity. We've got to make sure that they are secured to avoid an accident or international damage. Loss of control of these constellations really could be catastrophic from both a mission perspective or from a satellites tumbling out of low earth orbit perspective. Another trend is introductions in artificial intelligence and machine learning, onboard spacecraft are at the edge. Our satellites are really not so much hardware systems with a little software anymore in the commercial sector and in the defense sector, they're basically flying boxes full of software. And we need to ensure that data that we're getting out of those flying boxes full of software are helping us base our decisions on accurate data and algorithms, governing the right actions and that those systems are impervious to the extent possible to nefarious modifications. So in summation, cybersecurity is a vital element of everything in our national security space goals. And I would argue for our national goals, writ large, including economic and information dimensions, the Space Force leadership at all levels from some of the brand new second lieutenants that general Raymond swore in to the space force this morning, ceremonially from the air force associations, airspace and cyberspace conference to the various highest levels, General Raymond, General DT Thompson, myself, and a number of other senior leaders in this enterprise. We've got to make sure that we're all working together to keep cyber security at the forefront of our space systems cause they absolutely depend on it. >> You mentioned hardware, software threats, opportunities, challenges. I want to ask you because you got me thinking of the minute they're around infrastructure. We've heard critical infrastructure, grids here on earth. You're talking about critical infrastructure, a redefinition of what critical infrastructure is, an extension of what we have. So I'd love to get your thoughts about Space Force's view of that critical infrastructure vis-a-vis the threat vectors, because the term threat vectors has been kicked around in the cyberspace. Oh you have threat vectors. They're always increasing the surface area. If the surface area is from space, it's an unlimited service area. So you got different vectors. So you've got new critical infrastructure developing real time, really fast. And you got an expanded threat vector landscape. Putting that in perspective for the folks that aren't really inside the ropes on these critical issues. How would you explain this and how would you talk about those two things? >> So I tell you, just like, I'm sure people in the security side or the cybersecurity side of the business in the banking industry feel, they feel like it's all possible threat vectors represent a dramatic and protect potentially existential threat to all of the dollars that they have in the banking system, to the financial sector. On the Department of Defense side, we've got to have sort of the same mindset. That threat vector from, to, and through space against critical space systems, ground segments, the launch enterprise, or transportation to orbit and the various different domains within space itself. Like I mentioned before, LEO, MEO and GEO based satellites with different orbits, all of the different mission areas that are accomplished from space that I mentioned earlier, some that I did mention like a weather tactical or wide band communications, various new features of space control. All of those are things that we have to worry about from a cyber security threat perspective. And it's a daunting challenge right now. >> Yeah, that's awesome. And one of the things we've been falling on the hardware side on the ground is the supply chain. We've seen, malware being, really put in a really obscure hardware. Who manufactures it? Is it being outsourced? Obviously government has restrictions, but with the private sector, you mentioned China and the US kind of working together across these peaceful areas. But you got to look at the supply chain. How does the supply chain in the security aspect impact the mission of the US space Force? >> Yeah. Yeah. So how about another, just in terms of an example, another kind of California based historical example. The very first US Satellite, Explorer 1, was built by the jet propulsion laboratory folks, not far from here in El Segundo, up in Pasadena, that satellite, when it was first built in the late 50s weighing a little bit, over 30 pounds. And I'm sure that each and every part was custom made and definitely made by US companies. Fast forward to today. The global supply chain is so tightly coupled, and frankly many industries are so specialized, almost specialized regionally around the planet. We focus every day to guarantee the integrity of every component that we put in our space systems is absolutely critical to the operations of those satellites and we're dependent upon them, but it becomes more difficult and more difficult to understand the heritage, if you will, of some of the parts that are used, the thousands of parts that are used in some of our satellites that are literally school bus sized. The space industry, especially national security space sector is relatively small compared to other commercial industries. And we're moving towards using more and more parts from non US companies. Cybersecurity and cyber awareness have to be baked in from the beginning if we're going to be using parts that maybe we don't necessarily understand 100% like an Explorer one, the lineage of that particular part. The environmental difficulties in space are well known. The radiation environment, the temperature extremes, the vacuum, those require specialized component. And the US military is not the only customer in that space. In fact, we're definitely not the dominant customer in space anymore. All those factors require us along with our other government partners and many different commercial space organizations to keep a very close eye on our supply chains, from a quality perspective, a security perspective and availability. There's open source reporting on supply training intrusions from many different breaches of commercial retailers to the infectious spread of compromised patches, if you will. And our adversaries are aware of these techniques. As I mentioned earlier, with other forms of attack, considering our supply chains and development networks really becomes fair game for our adversaries. So we have to take that threat seriously. Between the government and industry sectors here in the US. We're also working with our industry partners to enact stronger defenses and assess our own vulnerabilities. Last fall, we completed an extensive review of all of our major contracts here at Space and Missile System Center to determine the levels of cyber security requirements we've implemented across our portfolio. And it sounds really kind of businessy geeky, if you will. Hey, we looked at our contracts to make sure that we had the right clauses in our contracts to address cybersecurity as dynamically as we possibly could. And so we found ourselves having to add new language to our contracts, to require system developers, to implement some more advanced protective measures in this evolving cyber security environment. So that data handling and supply chain protections from contract inception to launch and operations were taken into account. Cyber security really is a key performance parameter for us now. Performance of the system, It's as important as cost, it's as important as schedule, because if we deliver the perfect system on time and on cost, it can perform that missile warning or that communications mission perfectly, but it's not cyber secure. If it's doesn't have cyber protections built into it, or the ability to implement mitigations against cyber threats, then we've essentially fielded a shoe box in space that doesn't do the CA the war fighter or the nation any good. Supply chain risk management is a major challenge for us. We're doing a lot to coordinate with our industry partners. We're all facing it head on to try and build secure and trusted components that keep our confidence as leaders, firefighters, and baristas as the case may be. But it is a challenge. And we're trying to rise to that challenge. >> This is so exciting this new area, because it really touches everything. Talk about geeking out on the tech, the hardware, the systems but also you put your kind of MBA hat on you go, what's the ROI of extra development and how things get built. Because the always the exciting thing for space geeks is like, if you're building cool stuff, it's exciting, but you still have to build. And cybersecurity has proven that security has to be baked in from the beginning and be thought as a system architecture. So you're still building things, which means you got to acquire things, you got to acquire parts, you got acquire build software and sustain it. How is security impacting the acquisition and the sustainment of these systems for space? >> Yeah. From initial development, through planning for the acquisition, design, development, our production fielding and sustainment, it impacts all aspects of the life cycle, John. We simply, especially from the concept of baking in cybersecurity, we can't wait until something is built and then try and figure out how to make it cyber secure. So we've moved way further towards working side by side with our system developers to strengthen cybersecurity from the very beginning of a systems development, cyber security, and the resilience associated with it really have to be treated as a key system attribute. As I mentioned earlier, equivalent with data rates or other metrics of performance. We like to talk in the space world about mission assurance and mission assurance has always sort of taken us as we technically geek out. Mission assurance has always taken us to the will this system work in space. Can it work in a vacuum? Can it work in as it transfers through the Van Allen radiation belt or through the Southern hemisphere's electromagnetic anomaly? Will it work out in space? And now from a resiliency perspective, yeah, it has to work in space. It's got to be functional in space, but it's also got to be resistant to these cybersecurity threats. It's not just, I think a General D.T Thompson quoted this term. It's not just widget assurance anymore. It's mission assurance. How does that satellite operator that ground control segment operate while under attack? So let me break your question a little bit, just for purposes of discussion into really two parts, cybersecurity, for systems that are new and cybersecurity for systems that are in sustainment are kind of old and legacy. Obviously there's cyber vulnerabilities that threatened both, and we really have to employ different strategies for defensive of each one. For new systems. We're desperately trying to implement across the Department of Defense and particularly in the space world, a kind of a dev sec ops methodology and practice to delivering software faster and with greater security for our space systems. Here at SMC, we have a program called enterprise ground services, which is a toolkit, basically a collection of tools for common command and control of different satellite systems, EGS as we call it has an integrated suite for defensive cyber capabilities. Network operators can use these tools to gain unprecedented insight to data flows and to monitor space network traffic for anomalies or other potential indicators of a bad behavior, malicious behavior, if you will, it's rudimentary at this point, but because we're using DevSecOps and that incremental development approach, as we scale it, it just becomes more and more capable. Every product increment that we feel. Here at LA Air Force Base, we have the United Space Force's West Coast Software Factory, which we've dubbed the Kobayashi Maru. They're using those agile DevOps software development practices to deliver a space awareness software to the combined space operations center. Affectionately called the CSpock that CSpock is just on the road from Cal Poly there in San Luis Obispo at Vandenberg Air Force Base. They've so securely linked the sea Spock with other space operation centers around the planet, our allies, Australia, Canada, and the UK. We're partnering with all of them to enable secure and enhanced combined space operations. So lots of new stuff going on as we bake in new development capabilities for our space systems. But as I mentioned earlier, we've got large constellations of satellites on orbit right now. Some of them are well in excess of a decade or more or old on orbit. And so the design aspects of those satellites are several decades old. But we still have to worry about them cause they're critical to our space capabilities. We've been working with an air force material command organization called CROWS, which stands for the Cyber Resiliency Office for Weapon Systems to assess all of those legacy platforms from a cyber security perspective and develop defensive strategies and potential hardware and software upgrades to those systems to better enable them to live through this increasingly cybersecurity concerned era that we currently live in. Our industry partners have been critical to both of those different avenues. Both new systems and legacy systems. We're working closely with them to defend and upgrade national assets and develop the capabilities to do similar with new national assets coming online. The vulnerabilities of our space systems really kind of threatened the way we've done business in the past, both militarily and in the case of GPS economically. The impacts of that cybersecurity risk are clear in our acquisition and sustainment processes, but I've got to tell you, as the threat vectors change, as the vulnerabilities change, we've got to be nimble enough, agile enough, to be able to bounce back and forth. We can't just say, many people in the audience are probably familiar with the RMF or the Risk Management Framework approach to reviewing the cyber security of a system. We can't have program managers and engineers just accomplish an RMF on a system. And then, hey, high five, we're all good. It's a journey, not a destination, that's cybersecurity. And it's a constant battle rhythm through our weapon systems lifecycle, not just a single event. >> I want to get to this commercial business needs and your needs on the next question. But before I go there, you mentioned agile. And I see that clearly because when you have accelerated innovation cycles, you've got to be faster. And we saw this in the computer industry, mainframes, mini computers, and then we started getting beyond maybe when the internet hit and PCs came out, you saw the big enterprises, the banks and government start to work with startups. And it used to be a joke in the entrepreneurial circles is that, there's no way if you are a startup you're ever going to get a contract with a big business enterprise. Now that used to be for public sector and certainly for you guys. So as you see startups out there and there's acquisition involved, I'm sure would love to have a contract with Space Force. There's an ROI calculation where if it's in space and you have a sustainment view and it's software, you might have a new kind of business model that could be attractive to startups. Could you share your thoughts on the folks who want to be a supplier to you, whether they're a startup or an existing business that wants to be agile, but they might not be that big company. >> John, that's a fantastic question. We're desperately trying to reach out to those new space advocates, to those startups, to those what we sometimes refer to, within the Department of Defense, those non traditional defense contractors. A couple of things just for thinking purposes on some of the things that we're trying to highlight. Three years ago, we created here at Space and Missile System Center, the Space Enterprise Consortium to provide a platform, a contractual vehicle, really to enable us to rapidly prototype, development of space systems and to collaborate between the US Space Force, traditional defense contractors, non traditional vendors like startups, and even some academic institutions. SPEC, as we call it, Space Enterprise Consortium uses a specialized contracting tool to get contracts awarded quickly. Many in the audience may be familiar with other transaction agreements. And that's what SPEC is based on. And so far in just three years, SPEC has awarded 75 different prototyping contracts worth over $800 million with a 36% reduction in time to award. And because it's a consortium based competition for these kinds of prototyping efforts, the barrier to entry for small and nontraditional, for startups, even for academic institutions to be able to compete for these kinds of prototyping has really lowered. These types of partnerships that we've been working through on spec have really helped us work with smaller companies who might not have the background or expertise in dealing with the government or in working with cyber security for their systems, both our developmental systems and the systems that they're designing and trying to build. We want to provide ways for companies large and small to partner together in support kind of mutually beneficial relationships between all. Recently at the Annual Air Force Association conference that I mentioned earlier, I moderated a panel with several space industry leaders, all from big traditional defense contractors, by the way. And they all stressed the importance of building bridges and partnerships between major contractors in the defense industry and new entrance. And that helps us capture the benefits of speed and agility that come with small companies and startups, as well as the expertise and specialized skill sets of some of those larger contractors that we rely on day in and day out. Advanced cyber security protections and utilization of secure facilities are just a couple of things that I think we could be prioritizing more so in those collaborations. As I mentioned earlier, the SPEC has been very successful in awarding a number of different prototyping contracts and large dollar values. And it's just going to get better. There's over 400 members of the space enterprise consortium, 80% of them are non traditional kinds of vendors. And we just love working with them. Another thing that many people in the audience may be familiar with in terms of our outreach to innovators, if you will, and innovators that include cyber security experts is our space pitch day events. So we held our first event last November in San Francisco, where we awarded over a two day period about $46 million to 30 different companies that had potentially game changing ideas. These were phase two small business innovative research efforts that we awarded with cash on the spot. We're planning on holding our second space pitch day in the spring of 2021. We're planning on doing it right here in Los Angeles, COVID-19 environment permitting. And we think that these are fantastic venues for identifying and working with high-speed startups, and small businesses who are interested in really, truly partnering with the US Air Force. It's, as I said before, it's a really exciting time to be a part of this business. And working with the innovation economy is something that the Department of Defense really needs to do in that the innovation that we used to think was ours. That 80% of the industrial base innovation that came from the Department of Defense, the script has been flipped there. And so now more than 70%, particularly in space innovation comes from the commercial sector, not from the defense business itself. And so that's a tsunami of investment and a tsunami of a capability. And I need to figure out how to get my surfboard out and ride it, you know what I mean? >> Yeah, It's one of those things where the script has been flipped, but it's exciting because it's impacting everything. When you're talking about systems architecture? You're talking about software, you're talking about a business model. You're talking about dev sec opsx from a technical perspective, but now you have a business model innovation. All the theaters are exploding in innovation, technical, business, personnel. This brings up the workforce challenge. You've got the cyber needs for the US Space Force, It's probably great ROI model for new kinds of software development that could be priced into contracts. That's a entrepreneurial innovation, you've got the business model theater, you've got the personnel. How does the industry adopt and change? You guys are clearly driving this. How does the industry adjust to you? >> Yeah. So I think a great way to answer that question is to just talk about the kind of people that we're trying to prioritize in the US Space Force from an acquisition perspective, and in this particular case from a cybersecurity perspective. As I mentioned earlier, it's the most exciting time to be in space programs, really since the days of Apollo. Just to put it in terms that maybe have an impact with the audience. From 1957 until today, approximately 9,000 satellites have been launched from the various space varying countries around the planet. Less than 2000 of those 9,000 are still up on orbit and operational. And yet in the new space regime players like Space X have plans to launch, 12,000 satellites for some of their constellations alone. It really is a remarkable time in terms of innovation and fielding of space capabilities and all of those space capabilities, whether they're commercial, civil, or defense are going to require appropriate cybersecurity protections. It's just a really exciting time to be working in stuff like this. And so folks like the folks in this audience who have a passion about space and a passion about cybersecurity are just the kind of people that we want to work with. Cause we need to make sure our systems are secure and resilient. We need folks that have technical and computing expertise, engineering skills to be able to design cyber secure systems that can detect and mitigate attacks. But we also, as you alluded to, we need people that have that business and business acumen, human networking background, so that we can launch the startups and work with the non traditional businesses. Help to bring them on board help, to secure both their data and our data and make sure our processes and systems are free as much as possible from attack. For preparation, for audience members who are young and maybe thinking about getting into this trade space, you got to be smart on digital networking. You got to understand basic internet protocols, concepts, programming languages, database design. Learn what you can for penetration or vulnerability testing and a risk assessment. I will tell you this, and I don't think he will, I know he will not mind me telling you this, but you got to be a lifelong learner and so two years ago, I'm at home evening and I get a phone call on my cell phone and it's my boss, the commander of Air Force Space command, General, J. Raymond, who is now currently the Chief of Space Operations. And he is on temporary duty, flying overseas. He lands where he's going and first thing he does when he lands is he calls me and he goes JT, while I was traveling, I noticed that there were eBooks available on the commercial airliner I was traveling on and there was an ebook on something called scrumming and agile DevSecOps. And I read it, have you read it? And I said, no, sir. But if you tell me what the title of the book is, I will read it. And so I got to go to my staff meeting, the very next week, the next time we had a staff meeting and tell everybody in the staff meeting, hey, if the four star and the three star can read the book about scrumming, then I'm pretty sure all of you around this table and all our lieutenants and our captains our GS13s, All of our government employees can get smart on the scrumming development process. And interestingly as another side, I had a telephone call with him last year during the holidays, where he was trying to take some leave. And I said, sir, what are you up to today? Are you making eggnog for the event tonight or whatever. And the Chief of Space Operations told me no, I'm trying to teach myself Python. I'm at lesson two, and it's not going so well, but I'm going to figure this out. And so that kind of thing, if the chief of staff or the Chief of Space Operations can prioritize scrumming and Python language and innovation in his daily schedule, then we're definitely looking for other people who can do that. And we'll just say, lower levels of rank throughout our entire space force enterprise. Look, we don't need people that can code a satellite from scratch, but we need to know, we need to have people that have a basic grasp of the programming basics and cybersecurity requirements. And that can turn those things into meaningful actions, obviously in the space domain, things like basic physics and orbital mechanics are also important spaces, not an intuitive domain. So under understanding how things survive on orbit is really critical to making the right design and operational decisions. And I know there's probably a lot, because of this conference. I know there's probably a whole lot of high speed cybersecurity experts out in the audience. And I need those people in the US Space Force. The country is counting on it, but I wouldn't discount having people that are just cyber aware or cyber savvy. I have contracting officers and logisticians and program managers, and they don't have to be high end cybersecurity experts, but they have to be aware enough about it to be able to implement cyber security protections into our space systems. So the skill set is really, really broad. Our adversaries are pouring billions of dollars into designing and fielding offensive and destructive space, cybersecurity weapons. They repeatedly shown really a blatant disregard of safety and international norms for good behavior on orbit. And the cyber security aspects of our space systems is really a key battleground going forward so that we can maintain that. As I mentioned before, peaceful global comments of space, we really need all hands on deck. If you're interested in helping in uniform, if you're interested in helping, not in uniform, but as a government employee, a commercial or civil employee to help us make cyber security more important or more able to be developed for our space systems. And we'd really love to work with you or have you on the team to build that safe and secure future for our space systems. >> Lieutenant General John Thompson, great insight. Thank you for sharing all that awesome stories too, and motivation for the young next generation. The United States Space Force approach to cybersecurity. Really amazing talk, thank you for your time. Final parting question is, as you look out and you have your magic wand, what's your view for the next few years in terms of things that we could accomplish? It's a super exciting time. What do you hope for? >> So first of all, John, thanks to you and thanks to Cal Poly for the invitation and thanks to everybody for their interest in cybersecurity, especially as it relates to space systems, that's here at the conference. There's a quote, and I'll read it here from Bernard Schriever, who was the founder, if you will, a legend in a DoD space, the founder of the Western development division, which was a predecessor organization to Space and Missile System Center, General Schriever, I think captures the essence of how we see the next couple of years. "The world has an ample supply of people "who can always come up with a dozen good reasons "why new ideas will not work and should not be tried, "but the people who produce progress are breed apart. "They have the imagination, "the courage and the persistence to find solutions." And so I think if you're hoping that the next few years of space innovation and cybersecurity innovation are going to be upon a pony ride at the County fair, then perhaps you should look for another line of work, because I think the next few years in space and cybersecurity innovation are going to be more like a rodeo and a very dynamic rodeo as it goes. It is an awesome privilege to be part of this ecosystem. It's really an honor for me to be able to play some small role in the space ecosystem and trying to improve it while I'm trying to improve the chances of the United States of America in a space war fighting environment. And so I thank all of you for participating today and for this little bit of time that you've allowed me to share with you. Thank you. >> Sir, thank you for your leadership and thank you for the time for this awesome event, Space and Cyber Cybersecurity Symposium 2020, I'm John Furrier on behalf of Cal Poly, thanks for watching. (mellow music)

Published Date : Sep 16 2020

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Willie Tejada, IBM | IBM Think 2020


 

>> Announcer: From theCUBE Studios in Palo Alto and Boston, it's theCUBE, covering IBM Think, brought to you by IBM. >> Welcome back, I'm Stu Miniman and this is theCUBE's coverage of IBM Think 2020. It is the digital experience online so rather than all gathering together in San Francisco we're getting to talk to everybody where they are and we're happy to bring back one of our CUBE alums, it's actually been a little while since we've had them on the program. Willie Tejada, who is the general manager and Chief Developer Advocate with IBM. Willie, so great to see you, thanks for joining us. >> Hey Stu, thanks for having me, it's good to be back, it's been too long. >> So, first thing, obviously we're all together while we're apart, because of the global pandemic, developers, I've had so many interviews I've done over the years talking about dispersed development, around the clock development, I had a great interview with a head of remote work in the developer community at the beginning of the year before everything happened, so, how's the community doing overall and how are you seeing them react to what's happening? >> In the developer community, I think one of the interesting parts is one, developers feel oftentimes that they can actually make a difference. Two, their work oftentimes happens remotely. And so, one of the things that we've seen is a lot of the interaction that we have when we're doing our developer advocacy work has just converted to digital. And there's some interesting dynamics that come about, just even in that, where if you were doing something like a meetup in New York that was attracting something like 50 people, to maybe 100, maybe the venue was limiting the number of people that you would actually have there if you had a popular topic or speaker. We've had meetups basically be as large as 500 plus people when we went to digital. So definitely some different dynamics as we actually talk about this new normal that we're in, and everybody utilizing digital vehicles to reach the people that they want to talk to. >> All right. So I know last time we talked with you a big topic we talked about was Call for Code, and something that IBM has done different initiatives there, and you've got a very relevant one so bring our audience up to speed, this year's Call for Code, what that would involve. >> Yeah Stu, thanks very much. The Call for Code initiative inside of IBM is now in its third year. We did it in 2018, the concept was fairly simple, developers always love to solve problems and we said what if we challenge the 24 million developers to come and take a crack at society's most pressing issues? And in the first two years we focused on natural disasters, all you had to do was take a look at the coverage prior to the COVID-19 pandemic and you had wildfires in Australia and in Northern California where my home actually is based, and you had tsunamis and hurricanes and floodings. And so the ability for us to actually bring the developer community to bear on some of society's most pressing issues was really kind of the concept upfront, and IBM would help by bringing subject matter experts together, making available tools, because we're thinking let's solve the problem exactly how we solve it when we apply business. You get an expert on supply chain, you get a user of supply chain, you bring them together, developer builds these things. Well, not all the time can you get an expert in disaster, a first responder, so we actually created a lot of that fusion from there. Then, over the course of the first two years, we've had over 210,000 developers participate over across 168 nations with over 8,000 applications submitted. So, wildly successful. Now this year, Stu to your point, we had something that we could really bear down on very heavily. We announced that we were taking on climate change kind of laddering up natural disasters was let's look at the root, climate change, and then the COVID pandemic came about. We said let's tilt people towards that and it's been a tremendous outcoming for it. We've asked the developers to focus on three areas: crisis communications, you may have been one of those folks that's on a conference call or emails that haven't been responded to, on wait times forever, so those communications systems how do we fortify them get them to scale? The second area is remote learning, really look at where all the students are actually these days and what they're doing there, not just teaching but basically how do you give them entertainment, how do you actually provide them some level of social interaction. And the third area with the COVID focus is community collaboration. We really want to try to make sure people's spirits are up and that really does require everybody leaning in, and again you look at the news and tremendous examples of community collaboration and where technology can help scale or broaden that, that's really where Call for Code actually comes into play. >> Yeah, maybe it would be helpful, tell us a little bit about some of the previous winners, what have been some of the outcomes, more than just rallying the community, what resources is IBM putting into this? >> So one of the things that makes it different is rather than it just being a regular hack, this is really a processing side of IBM that we've developed over the course of this last three years. Where the challenge is one piece, the Call for Code challenge, we also developed and rolled out and committed another 25 million, with Call for Code we committed 30 million over that five years and in the following year we recognized the need to see the solutions actually get deployed. And so we committed another $25 million for the fortification, testing, scaling and deployment. So when you win a Call for Code Global Challenge, you also get IBM's support around deployment, fortification, some counseling and relation basically from development, to architecture, to even the business side of it. In our first year, we had a team called Project Owl actually come out and win, and one of the first things that happens especially in hurricanes or these natural disasters, communication grids go down. So they developed a solution that could quickly establish an ad hoc communication grid, and anybody that had a typical cell phone could connect up to that Wi-Fi grid or that grid very similar to the way they actually connect into a Starbucks Wi-Fi system. And it would allow both the first responders to understand where folks were at, and then establish communications. So that was in the first year. The second year was a team called Prometeo, and in October we selected them as the Global Challenge winner, and they were a solution that was built by a firefighter, a nurse and a developer with this concept roughly of how do they monitor essentially a firefighter's situation when they're actually in the heat of battle to best allocate the resources to the people who need them most. Understanding a little bit about their environment, understanding a little bit about the health that's actually happening with the firefighter, and again it's one of those scenarios where you couldn't just build it from the firefighter's side, you couldn't just build it from the nurse's side, and a developer would have a difficult time building it just by themselves. So bringing those people together, a nurse, a firefighter and a developer, and creating a system like this is really really what we're aspiring to do. Now, they won in October, and in February, they're in a field deployment actually doing real testing in the field in some of the fields at Catalonia, Spain. So, we've seen it first-hand exactly what happens when they win, the Project Owl team actually did some hurricane deployment testing in Puerto Rico, that of course IBM helped fortify and build connections between the Puerto Rico government so that we're really seeing essentially the challenge winner see this type of deployment. >> Willie, I love it, it's even better than a punch line I could do, what do you get when you combine a firefighter, a nurse and a developer? The answer is you can positively impact the world so phenomenal there. >> Absolutely. >> I'm curious, where does open source play into this activity? We were just covering Red Hat Summit last week, of course, lots of open source, lots of community engagement in hearing how they are helping communities engage and of course open source has been a big rallying point, everything from 3D printing to other projects in the community. So where does open source fit into this initiative? >> 100%. The amazing part about activating developers these days is just the broad availability of the technologies. And it's certainly stimulated by the community aspect of open source, this idea that they democratize access to technology, and it's really community-centric, and folks can start building very quickly on open source technologies that are material. So number one, all the things that is part of Call for Code and what we actually deployed are based on open source technologies. Now, again one of the differences is how do we actually make those winners and those technology sets become real? And becoming real requires this idea of how do you actually build durable sustainable solutions. So each five of the winners every year have the opportunity essentially to go through the Linux Foundation and have their solutions established as a project with the idea of roughly that people can download it and fork it, people can actually fortify it, but it's available to the whole globe, everybody in the world, to help build upon and fortify and continue to innovate on. So open source is right at the root of it, not just from the technology side, but from the ecosystem and community side that open source was for. And so we've seen as an example the formal establishment of Project Owl's software being open sourced by the Linux Foundation. And it's been fantastic to see both the participation actually there and see how people are basically deriving it and using it exactly what we intended to see in the vision of Call for Code, and Code and Response. >> Well, that's phenomenal. We're huge fans of the community activity, of course open source is a great driver of everything you were talking about. So I'm curious, one of the things we're all looking at is where people are spending their time, how this global pandemic is impacting what people are doing. There's plenty of memes out there on social media, it doesn't mean that you all of a sudden are going to learn a new language, or learn to play an instrument because you have lots of time at home, but I'm curious from what you've seen so far, compared to previous years, how's the engagement? What's the numbers? What can you share? Is there a significant difference or change from previous years? >> Yeah, there's so much good will, I would say, that's been brought about around the world in what we're seeing around the COVID-19 pandemic. That the way I would describe it is the rate of submissions and interest that we've seen is 3x above what we've seen in the prior years. Now keep in mind, we're not even actually at the area where we see the most. So keep in mind, right now we tried to accelerate the time to highlight some of these solutions. So April 27th will be the first deadline for COVID-19 challenge, and we'll highlight some of the solutions on May 5th. Now, when we think about it basically from that standpoint we typically actually see people waiting until that submission timeframe. And so when you think of it from that standpoint you really oftentimes see this acceleration, right? At that submission deadline. But we're already seeing 3x what we've seen in the past in terms of participation just because of the amount of good will that's actually out there, and what people are trying to do in solving these problems. And developers, they're problem solvers overall, and putting out those three areas, community crisis communications, remote learning, and community collaboration, they'll see examples of what they see on the news and think they can actually do something better, and then express that in software. >> That's excellent. So, Willie, one of the things, we've been talking to leaders across the industry and one of things we don't know is how much of what we are going through is temporary, and how much will actually be long term. I'm curious if there's any patterns you're seeing out there, discussions you're having with developers, you talk about remote work, you talk about communication. Are there anything that you've seen so far that you think that this will fundamentally just alter the way things might've been in the past going forward? >> Developers are always actually looking for this idea of how they actually sharpen their skills, their craft, new languages that they actually know, new platforms, whatever it actually might be. And I think in the past there was probably, even from our perspective, this balance of face-to-face versus digital, and a mix of both, but I think what we'll find going forward is a more robust mix of that. Because you can't deny the power of reach that actually happens when you actually move something digital. And then I would say that think about how you at theCUBE have refined your studios in dealing with an interview like mine, it gets better and better, you refine it. How you do an online workshop and how you do a workshop on a steel service mesh, you get better and better about how you engage from real time, hands-on keyboard experience in what information, what chat, what community pieces do you put on the screen to stimulate these pieces, I think in general the industry and our company and our teams have gotten better even in this short amount of time. I think those things will be long-lasting. I think we're all humans, so I think they still want the physical face-to-face and community interaction and camaraderie that comes from being in that physical energy, but I do think it'll be complemented by the things that we refined through the digital delivery that's been refined during this situation. >> All right, so Willie, final thing of course, this week, the winners are all being announced, how about people that are watching this and say this sounds phenomenal, how do I learn more, if I didn't get to participate in some of the initial pieces what should I be looking for? And how can I contribute and participate even after Think? >> Well, number one keep in mind that the challenge for the year will still actually go all the way to October, and submissions for that whole Challenger Watch will go to February first. So that's number one. But number two, going to developer.ibm.com/callforcode you'll find all the resources, we have these things called starter kits that help developers actually get up and going very quickly, finding out more information about both the competition structure, and really how you become part of the movement, go there basically and answer the call. >> Awesome. Love it, Willie, thanks so much, pleasure to catch up with you and definitely looking forward to seeing all the outcome that the community is putting forth to focus on this really important challenge. >> Hey Stu, thanks for having me, I really appreciate it. >> All right, be sure to check out thecube.net for all the coverage from IBM Think, all the backlog we had to see Willie a couple years ago when he was on the program, and check out where we will be later in the year. I'm Stu Miniman, and as always, thanks for watching. (gentle music)

Published Date : May 5 2020

SUMMARY :

IBM Think, brought to you by IBM. It is the digital experience me, it's good to be back, of the interaction that talked with you a big topic at the coverage prior to the and one of the first things positively impact the world and of course open source has So each five of the We're huge fans of the community just because of the amount of good will So, Willie, one of the things, complemented by the things in mind that the challenge outcome that the community is Hey Stu, thanks for having from IBM Think, all the

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Sanjay Srivastava, Genpact | BMC Helix Immersion Days 2019


 

[Music] hi and welcome to another cube conversation this time from the MCS Hilux immersion day at the Santa Clara Marriott beautiful Northern California we're going to be spending the entire day having a series of discussions about what it means to do a better job of both digital services management and operations management and how those technologies are coming together to dramatically alter how business operates how customers get value and ultimately how profits are generated we're going to start this conversation with a CDO a chief digital officer from Genpact sanjay sri tvasta welcome to the cube thank you very much so to start tell us a little bit about Jim pacts interesting company comprised we are indeed Genpact is a large global professional services provider for digital transformation services we serve many of the fortune 500 companies around the world and we help them think through their business processes in the business models and digitally transform that to take advantage of so all the new capabilities that are coming through so digital service outcomes is a very important feature of that because I presume that when you have those conversations with customers you're talking about the outcomes that they're trying to achieve yeah and not just the services that you're gonna provide it's fine so tell us a little bit about what is a digital service outcome and why is it so important yeah well I think the reality is that what technology is doing it it's disintermediating the ecosystem so many of the industries our clients operate in and they have to go back and reimagine their value proposition of the core of what they do with the use of new innovative technologies and it's that intersection of new capabilities of new innovative business models that really use emerging technologies but intersect them with their business models with their business processes and the requirements of their clients and help them rethink reimagine and deliver the new value proposition that's really what it's all about so digital service outcome would then be the things that the business must do and must do well but ideally with a different experience or with a different degree of flexibility and agility or with and cost profile I got that right correct so when we think about that what are some of the key elements of a digital service success we like to think about three critical success factors in driving any digital transformation the first one is the notion of experience and what I mean by that is not user interface for a piece of software but the journey of a customer an employee a provider a partner in engaging with you in your business model and we think about journey mapping that scientifically we think about design thinking on the back of that and we think about reimagining what the new experience looks like one of the largest things we learned in the industry is digital transformation on the back of costs take out a productivity or efficiency is is is insufficient to drive and optimize the value that digital can bring and using experience as the compass is sort of the Northstar in that journey is a meaningful differentiator and drive our business benefits so that's number one in the second area that's become increasingly apparent is the intersection of domain with digital and the thinking there is that to materialize the benefit of digital in an enterprise you have to intersect it with the specifics of that business how users interact what clients seek how does business actually happen you know we talk about it artificial intelligence a lot we do a lot of work in AI is an example and there's key thing about machine learning is goal orientation and what is goal orientation it's about understanding the specifics of your environments you can actually orient the goal of the machine learning algorithm to deliver higher high accuracy results and it's something that can often easily get overlooked so indexing on the two halves of the whole the yin and the yang the the the piece around digital and the innovative technologies and being able to leverage and take advantage of them but equally be founded and domain understand the environment and use that knowledge to drive the right materialization of the and that's the second critical success factor I think to get it right I think that third one is the notion of how do you build a framework for innovation you know it's not the sort of thing where large fortune company 100 500 fortune 500 companies can necessarily experiment and you know it's a little bit for go happy-go-lucky strategy it doesn't really work you have to innovate at scale you have to do it in a fundamental fashion you have to do it as a critical success factor and so one of the biggest things we focus on is how do you innovate at the edge innovation must be at the edge this is where the rubber meets the road but governance has to be at the core let me build on that for a second because you said innovations at the edge so basically that means where the brand promise is being enacted for the customer and that could be at an industrial automation setting or it could be in recommendation if any any number of things but it's where the value proposition is realized for the customer correct okay that's exactly right and that's where innovation must happen so as a large corporation you must be you know it's important to set up a framework that allows you to do innovation at the edge otherwise it's not meaningful innovation if you will it's just a lot of busy work and yet as you do that and if you change your business model is you bring new components to the equation how do you drive governance and it's increasingly becoming more important you think about we're gonna be in a AI first world increasingly more and more that's the reality the world we're going in and in that AI first world you know III work here in Palo Alto I walk into my office a couple of hundred people in any given day if tomorrow morning I walked in and hundred people didn't show up for work I would know right away because I can see them now fast forward to an environment where we have digital workers we have automation BOTS we have conversationally I chat box and in that world understanding which of my AI components are on which ones are off which ones showed up for work today which ones fell sick and really being able to understand that governance and that's just the productivity piece of it then you think about data and security AI changes complete dimensions on that and you think about bias and explained ability to become increasingly important and notion of a digital ethics board and thinking about ethics more pervasively so I think that companies and clients we serve that do really well in digital transformation are those that keen on those three things the notion of experience is the true compass for how you try transformation the ability to intermix domain and digital in a meaningfully intersecting fashion and to be thoughtful proactive and get governance right up front in the journey to come so let me again building out a little bit because people are increasingly recognizing that we're not going to centralized with cloud we're going to greater distribute we're going to distribute data more we're going to distribute function more but you just added another dimension that some some of us have been thinking about for a long time and that's this notion of distributing authorities yeah so that an individual at the edge can make the decision based on the data and the resources that are available with the appropriate set of authorities and that has to be handled at a central in a in a overall coherent governed way so that leaves the next question and just before you go that I mean I think the best example of that is we do that most corporations do that really well in the financial scheme of things business is that the edge make decisions on a day-to-day basis on pricing and and relationships and so on and so forth and yet there's a central audit committee that looks through the financials and make sure it meets the right requirements and has the right framework and much in the same way we're gonna start seeing digital ethics committees that become part of these large corporations as they think about digitizing the business governance at the end of the day is how do you how you orchestrate multiple divergent claims against a common set of assets and and being able to do that it's absolutely essential and it leads to this notion of we've got to cite these ideas of digital business digital services and operations management how are we going to weave them together utilizing some of these new technologies new fabrics that are now possible to both achieve the outcomes we're talking about at scale in its speed yeah well the the technology capabilities are improving really well in that area and so the good news is there's a set of tools that are now available that give you the ingredients the the components of the recipe that's required to make dinner well you know the the work that needs to happen is actually how to orchestrate their that to figure out which components you to come in and how do you pull together a vertical stack that has the right components to meet your needs today and more importantly to address the needs of the future because this is changing like no other time in history you want options with everything you do now you want to make sure that you have a stream of options for the future and that's especially important here that's right that's exactly right and and the the the quick framework we've established there is sort of the three-legged stool of how do you integrate quickly how do you modular eyes your investments and how do you govern them into one integrated whole and those become really important I'll give you examples you know much of the work we do will work with the consumer bank for instance and they'll want to do a robotic process automation engagement will run on for nine months they'll get 1,800 robots up and running and the next question becomes well now we have all this data that we didn't really have because now we have an RPA running how do I learn some machine learning insights from there and so we then work with them to actually drive some insights and get these questions answered and then the engagement changes to well now that we have this pattern recognition that we understand more questions will be asked how do I respond to those questions a automatically and before they get asked this notion of next best action and so you think about that journey of a traditional client you know the requirements change from robotics to machine learning to conversationally AI to something else and keeping that string of investments that that innovative sort of streak true and yet being able to manage govern and protect the investments that's the key role and especially if we do want to look at innovation at the edge because we want to see some commonalities otherwise we freaked people out along the way don't exactly right so I'm J Street of AUSA thank you very much for being on the cube thank you for having me and once again I'm Peter Burroughs and we'll be back with our next guest shortly from BMC Hilux immersion day here at the Santa Clara Marriott thanks very much for listening

Published Date : Nov 16 2019

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Around theCUBE, Unpacking AI | Juniper NXTWORK 2019


 

>>from Las Vegas. It's the Q covering. Next work. 2019 America's Do You buy Juniper Networks? Come back already. Jeffrey here with the Cube were in Las Vegas at Caesar's at the Juniper. Next work event. About 1000 people kind of going over a lot of new cool things. 400 gigs. Who knew that was coming out of new information for me? But that's not what we're here today. We're here for the fourth installment of around the Cube unpacking. I were happy to have all the winners of the three previous rounds here at the same place. We don't have to do it over the phone s so we're happy to have him. Let's jump into it. So winner of Round one was Bob Friday. He is the VP and CTO at Missed the Juniper Company. Bob, Great to see you. Good to be back. Absolutely. All the way from Seattle. Sharna Parky. She's a VP applied scientist at Tech CEO could see Sharna and, uh, from Google. We know a lot of a I happen to Google. Rajan's chef. He is the V p ay ay >>product management on Google. Welcome. Thank you, Christy. Here >>All right, so let's jump into it. So just warm everybody up and we'll start with you. Bob, What are some When you're talking to someone at a cocktail party Friday night talking to your mom And they say, What is a I What >>do you >>give him? A Zen examples of where a eyes of packing our lives today? >>Well, I think we all know the examples of the south driving car, you know? Aye, aye. Starting to help our health care industry being diagnosed cancer for me. Personally, I had kind of a weird experience last week at a retail technology event where basically had these new digital mirrors doing facial recognition. Right? And basically, you start to have little mirrors were gonna be a skeevy start guessing. Hey, you have a beard, you have some glasses, and they start calling >>me old. So this is kind >>of very personal. I have a something for >>you, Camille, but eh? I go walking >>down a mall with a bunch of mirrors, calling me old. >>That's a little Illinois. Did it bring you out like a cane or a walker? You know, you start getting some advertising's >>that were like Okay, you guys, this is a little bit over the top. >>Alright, Charlotte, what about you? What's your favorite example? Share with people? >>Yeah, E think one of my favorite examples of a I is, um, kind of accessible in on your phone where the photos you take on an iPhone. The photos you put in Google photos, they're automatically detecting the faces and their labeling them for you. They're like, Here's selfies. Here's your family. Here's your Children. And you know, that's the most successful one of the ones that I think people don't really think about a lot or things like getting loan applications right. We actually have a I deciding whether or not we get loans. And that one is is probably the most interesting one to be right now. >>Roger. So I think the father's example is probably my favorite as well. And what's interesting to me is that really a I is actually not about the Yeah, it's about the user experience that you can create as a result of a I. What's cool about Google photos is that and my entire family uses Google photos and they don't even know actually that the underlying in some of the most powerful a I in the world. But what they know is they confined every picture of our kids on the beach whenever they whenever they want to. Or, you know, we had a great example where we were with our kids. Every time they like something in the store, we take a picture of it, Um, and we can look up toy and actually find everything that they've taken picture. >>It's interesting because I think most people don't even know the power that they have. Because if you search for beach in your Google photos or you search for, uh, I was looking for an old bug picture from my high school there it came right up until you kind of explore. You know, it's pretty tricky, Raja, you know, I think a lot of conversation about A They always focus the general purpose general purpose, general purpose machines and robots and computers. But people don't really talk about the applied A that's happening all around. Why do you think that? >>So it's a good question. There's there's a lot more talk about kind of general purpose, but the reality of where this has an impact right now is, though, are those specific use cases. And so, for example, things like personalizing customer interaction or, ah, spotting trends that did that you wouldn't have spotted for turning unstructured data like documents into structure data. That's where a eyes actually having an impact right now. And I think it really boils down to getting to the right use cases where a I right? >>Sharon, I want ask you. You know, there's a lot of conversation. Always has A I replace people or is it an augmentation for people? And we had Gary Kasparov on a couple years ago, and he talked about, you know, it was the combination if he plus the computer made the best chess player, but that quickly went away. Now the computer is actually better than Garry Kasparov. Plus the computer. How should people think about a I as an augmentation tool versus a replacement tool? And is it just gonna be specific to the application? And how do you kind of think about those? >>Yeah, I would say >>that any application where you're making life and death decisions where you're making financial decisions that disadvantage people anything where you know you've got u A. V s and you're deciding whether or not to actually dropped the bomb like you need a human in the loop. If you're trying to change the words that you are using to get a different group of people to apply for jobs, you need a human in the loop because it turns out that for the example of beach, you type sheep into your phone and you might get just a field, a green field and a I doesn't know that, uh, you know, if it's always seen sheep in a field that when the sheep aren't there, that that isn't a sheep like it doesn't have that kind of recognition to it. So anything were we making decisions about parole or financial? Anything like that needs to have human in the loop because those types of decisions are changing fundamentally the way we live. >>Great. So shift gears. The team are Jeff Saunders. Okay, team, your mind may have been the liquid on my bell, so I'll be more active on the bell. Sorry about that. Everyone's even. We're starting a zero again, so I want to shift gears and talk about data sets. Um Bob, you're up on stage. Demo ing some some of your technology, the Miss Technology and really, you know, it's interesting combination of data sets A I and its current form needs a lot of data again. Kind of the classic Chihuahua on blue buried and photos. You got to run a lot of them through. How do you think about data sets? In terms of having the right data in a complete data set to drive an algorithm >>E. I think we all know data sets with one The tipping points for a I to become more real right along with cloud computing storage. But data is really one of the key points of making a I really write my example on stage was wine, right? Great wine starts a great grape street. Aye, aye. Starts a great data for us personally. L s t M is an example in our networking space where we have data for the last three months from our customers and rule using the last 30 days really trained these l s t m algorithms to really get that tsunami detection the point where we don't have false positives. >>How much of the training is done. Once you once you've gone through the data a couple times in a just versus when you first started, you're not really sure how it's gonna shake out in the algorithm. >>Yeah. So in our case right now, right, training happens every night. So every night, we're basically retraining those models, basically, to be able to predict if there's gonna be an anomaly or network, you know? And this is really an example. Where you looking all these other cat image thinks this is where these neural networks there really were one of the transformational things that really moved a I into the reality calling. And it's starting to impact all our different energy. Whether it's text imaging in the networking world is an example where even a I and deep learnings ruling starting to impact our networking customers. >>Sure, I want to go to you. What do you do if you don't have a big data set? You don't have a lot of pictures of chihuahuas and blackberries, and I want to apply some machine intelligence to the problem. >>I mean, so you need to have the right data set. You know, Big is a relative term on, and it depends on what you're using it for, right? So you can have a massive amount of data that represents solar flares, and then you're trying to detect some anomaly, right? If you train and I what normal is based upon a massive amount of data and you don't have enough examples of that anomaly you're trying to detect, then it's never going to say there's an anomaly there, so you actually need to over sample. You have to create a population of data that allows you to detect images you can't say, Um oh, >>I'm going to reflect in my data set the percentage of black women >>in Seattle, which is something below 6% and say it's fair. It's not right. You have to be able thio over sample things that you need, and in some ways you can get this through surveys. You can get it through, um, actually going to different sources. But you have to boot, strap it in some way, and then you have to refresh it, because if you leave that data set static like Bob mentioned like you, people are changing the way they do attacks and networks all the time, and so you may have been able to find the one yesterday. But today it's a completely different ball game >>project to you, which comes first, the chicken or the egg. You start with the data, and I say this is a ripe opportunity to apply some. Aye, aye. Or do you have some May I objectives that you want to achieve? And I got to go out and find the >>data. So I actually think what starts where it starts is the business problem you're trying to solve. And then from there, you need to have the right data. What's interesting about this is that you can actually have starting points. And so, for example, there's techniques around transfer, learning where you're able to take an an algorithm that's already been trained on a bunch of data and training a little bit further with with your data on DSO, we've seen that such that people that may have, for example, only 100 images of something, but they could use a model that's trained on millions of images and only use those 100 thio create something that's actually quite accurate. >>So that's a great segue. Wait, give me a ring on now. And it's a great Segway into talking about applying on one algorithm that was built around one data set and then applying it to a different data set. Is that appropriate? Is that correct? Is air you risking all kinds of interesting problems by taking that and applying it here, especially in light of when people are gonna go to outweigh the marketplace, is because I've got a date. A scientist. I couldn't go get one in the marketplace and apply to my data. How should people be careful not to make >>a bad decision based on that? So I think it really depends. And it depends on the type of machine learning that you're doing and what type of data you're talking about. So, for example, with images, they're they're they're well known techniques to be able to do this, but with other things, there aren't really and so it really depends. But then the other inter, the other really important thing is that no matter what at the end, you need to test and generate based on your based on your data sets and on based on sample data to see if it's accurate or not, and then that's gonna guide everything. Ultimately, >>Sharon has got to go to you. You brought up something in the preliminary rounds and about open A I and kind of this. We can't have this black box where stuff goes into the algorithm. That stuff comes out and we're not sure what the result was. Sounds really important. Is that Is that even plausible? Is it feasible? This is crazy statistics, Crazy math. You talked about the business objective that someone's trying to achieve. I go to the data scientist. Here's my data. You're telling this is the output. How kind of where's the line between the Lehman and the business person and the hard core data science to bring together the knowledge of Here's what's making the algorithm say this. >>Yeah, there's a lot of names for this, whether it's explainable. Aye, aye. Or interpret a belay. I are opening the black box. Things like that. Um, the algorithms that you use determine whether or not they're inspect herbal. Um, and the deeper your neural network gets, the harder it is to inspect, actually. Right. So, to your point, every time you take an aye aye and you use it in a different scenario than what it was built for. For example, um, there is a police precinct in New York that had a facial recognition software, and, uh, victim said, Oh, it looked like this actor. This person looked like Bill Cosby or something like that, and you were never supposed to take an image of an actor and put it in there to find people that look like them. But that's how people were using it. So the Russians point yes, like it. You can transfer learning to other a eyes, but it's actually the humans that are using it in ways that are unintended that we have to be more careful about, right? Um, even if you're a, I is explainable, and somebody tries to use it in a way that it was never intended to be used. The risk is much higher >>now. I think maybe I had, You know, if you look at Marvis kind of what we're building for the networking community Ah, good examples. When Marvis tries to do estimate your throughput right, your Internet throughput. That's what we usually call decision tree algorithm. And that's a very interpretive algorithm. and we predict low throughput. We know how we got to that answer, right? We know what features God, is there? No. But when we're doing something like a NAMI detection, that's a neural network. That black box it tells us yes, there's a problem. There's some anomaly, but that doesn't know what caused the anomaly. But that's a case where we actually used neural networks, actually find the anomie, and then we're using something else to find the root cause, eh? So it really depends on the use case and where the night you're going to use an interpreter of model or a neural network which is more of a black box model. T tell her you've got a cat or you've got a problem >>somewhere. So, Bob, that's really interested. So can you not unpacking? Neural network is just the nature of the way that the communication and the data flows and the inferences are made that you can't go in and unpack it, that you have to have the >>separate kind of process too. Get to the root cause. >>Yeah, assigned is always hard to say. Never. But inherently s neural networks are very complicated. Saito set of weights, right? It's basically usually a supervised training model, and we're feeding a bunch of data and trying to train it to detect a certain features, sir, an output. But that is where they're powerful, right? And that's why they basically doing such good, Because they are mimicking the brain, right? That neural network is a very complex thing. Can't like your brain, right? We really don't understand how your brain works right now when you have a problem, it's really trialling there. We try to figure out >>right going right. So I want to stay with you, bought for a minute. So what about when you change what you're optimizing? Four? So you just said you're optimizing for throughput of the network. You're looking for problems. Now, let's just say it's, uh, into the end of the quarter. Some other reason we're not. You're changing your changing what you're optimizing for, Can you? You have to write separate algorithm. Can you have dynamic movement inside that algorithm? How do you approach a problem? Because you're not always optimizing for the same things, depending on the market conditions. >>Yeah, I mean, I think a good example, you know, again, with Marvis is really with what we call reinforcement. Learning right in reinforcement. Learning is a model we use for, like, radio resource management. And there were really trying to optimize for the user experience in trying to balance the reward, the models trying to reward whether or not we have a good balance between the network and the user. Right, that reward could be changed. So that algorithm is basically reinforcement. You can finally change hell that Algren works by changing the reward you give the algorithm >>great. Um, Rajan back to you. A couple of huge things that have come into into play in the marketplace and get your take one is open source, you know, kind of. What's the impact of open source generally on the availability, desire and more applications and then to cloud and soon to be edge? You know, the current next stop. How do you guys incorporate that opportunity? How does it change what you can do? How does it open up the lens of >>a I Yeah, I think open source is really important because I think one thing that's interesting about a I is that it's a very nascent field and the more that there's open source, the more that people could build on top of each other and be able to utilize what what others others have done. And it's similar to how we've seen open source impact operating systems, the Internet, things like things like that with Cloud. I think one of the big things with cloud is now you have the processing power and the ability to access lots of data to be able to t create these thes networks. And so the capacity for data and the capacity for compute is much higher. Edge is gonna be a very important thing, especially going into next few years. You're seeing Maur things incorporated on the edge and one exciting development is around Federated learning where you can train on the edge and then combine some of those aspects into a cloud side model. And so that I think will actually make EJ even more powerful. >>But it's got to be so dynamic, right? Because the fundamental problem used to always be the move, the computer, the data or the date of the computer. Well, now you've got on these edge devices. You've got Tanya data right sensor data all kinds of machining data. You've got potentially nasty hostile conditions. You're not in a nice, pristine data center where the environmental conditions are in the connective ity issues. So when you think about that problem yet, there's still great information. There you got latent issues. Some I might have to be processed close to home. How do you incorporate that age old thing of the speed of light to still break the break up? The problem to give you a step up? Well, we see a lot >>of customers do is they do a lot of training on the cloud, but then inference on the on the edge. And so that way they're able to create the model that they want. But then they get fast response time by moving the model to the edge. The other thing is that, like you said, lots of data is coming into the edge. So one way to do it is to efficiently move that to the cloud. But the other way to do is filter. And to try to figure out what data you want to send to the clouds that you can create the next days. >>Shawna, back to you let's shift gears into ethics. This pesky, pesky issue that's not not a technological issue at all, but right. We see it often, especially in tech. Just cause you should just cause you can doesn't mean that you should. Um so and this is not a stem issue, right? There's a lot of different things that happened. So how should people be thinking about ethics? How should they incorporate ethics? Um, how should they make sure that they've got kind of a, you know, a standard kind of overlooking kind of what they're doing? The decisions are being made. >>Yeah, One of the more approachable ways that I have found to explain this is with behavioral science methodologies. So ethics is a massive field of study, and not everyone shares the same ethics. However, if you try and bring it closer to behavior change because every product that we're building is seeking to change of behavior. We need to ask questions like, What is the gap between the person's intention and the goal we have for them? Would they choose that goal for themselves or not? If they wouldn't, then you have an ethical problem, right? And this this can be true of the intention, goal gap or the intention action up. We can see when we regulated for cigarettes. What? We can't just make it look cool without telling them what the cigarettes are doing to them, right so we can apply the same principles moving forward. And they're pretty accessible without having to know. Oh, this philosopher and that philosopher in this ethicist said these things, it can be pretty human. The challenge with this is that most people building these algorithms are not. They're not trained in this way of thinking, and especially when you're working at a start up right, you don't have access to massive teams of people to guide you down this journey, so you need to build it in from the beginning, and you need to be open and based upon principles. Um, and it's going to touch every component. It should touch your data, your algorithm, the people that you're using to build the product. If you only have white men building the product, you have a problem you need to pull in other people. Otherwise, there are just blind spots that you are not going to think of in order to still that product for a wider audience, but it seems like >>they were on such a razor sharp edge. Right with Coca Cola wants you to buy Coca Cola and they show ads for Coca Cola, and they appeal to your let's all sing together on the hillside and be one right. But it feels like with a I that that is now you can cheat. Right now you can use behavioral biases that are hardwired into my brain is a biological creature against me. And so where is where is the fine line between just trying to get you to buy Coke? Which somewhat argues Probably Justus Bad is Jule cause you get diabetes and all these other issues, but that's acceptable. But cigarettes are not. And now we're seeing this stuff on Facebook with, you know, they're coming out. So >>we know that this is that and Coke isn't just selling Coke anymore. They're also selling vitamin water so they're they're play isn't to have a single product that you can purchase, but it is to have a suite of products that if you weren't that coke, you can buy it. But if you want that vitamin water you can have that >>shouldn't get vitamin water and a smile that only comes with the coat. Five. You want to jump in? >>I think we're going to see ethics really break into two different discussions, right? I mean, ethics is already, like human behavior that you're already doing right, doing bad behavior, like discriminatory hiring, training, that behavior. And today I is gonna be wrong. It's wrong in the human world is gonna be wrong in the eye world. I think the other component to this ethics discussion is really round privacy and data. It's like that mirror example, right? No. Who gave that mirror the right to basically tell me I'm old and actually do something with that data right now. Is that my data? Or is that the mirrors data that basically recognized me and basically did something with it? Right. You know, that's the Facebook. For example. When I get the email, tell me, look at that picture and someone's take me in the pictures Like, where was that? Where did that come from? Right? >>What? I'm curious about to fall upon that as social norms change. We talked about it a little bit for we turn the cameras on, right? It used to be okay. Toe have no black people drinking out of a fountain or coming in the side door of a restaurant. Not that long ago, right in the 60. So if someone had built an algorithm, then that would have incorporated probably that social norm. But social norms change. So how should we, you know, kind of try to stay ahead of that or at least go back reflectively after the fact and say kind of back to the black box, That's no longer acceptable. We need to tweak this. I >>would have said in that example, that was wrong. 50 years ago. >>Okay, it was wrong. But if you ask somebody in Alabama, you know, at the University of Alabama, Matt Department who have been born Red born, bred in that culture as well, they probably would have not necessarily agreed. But so generally, though, again, assuming things change, how should we make sure to go back and make sure that we're not again carrying four things that are no longer the right thing to do? >>Well, I think I mean, as I said, I think you know what? What we know is wrong, you know is gonna be wrong in the eye world. I think the more subtle thing is when we start relying on these Aye. Aye. To make decisions like no shit in my car, hit the pedestrian or save my life. You know, those are tough decisions to let a machine take off or your balls decision. Right when we start letting the machines Or is it okay for Marvis to give this D I ps preference over other people, right? You know, those type of decisions are kind of the ethical decision, you know, whether right or wrong, the human world, I think the same thing will apply in the eye world. I do think it will start to see more regulation. Just like we see regulation happen in our hiring. No, that regulation is going to be applied into our A I >>right solutions. We're gonna come back to regulation a minute. But, Roger, I want to follow up with you in your earlier session. You you made an interesting comment. You said, you know, 10% is clearly, you know, good. 10% is clearly bad, but it's a soft, squishy middle at 80% that aren't necessarily super clear, good or bad. So how should people, you know, kind of make judgments in this this big gray area in the middle? >>Yeah, and I think that is the toughest part. And so the approach that we've taken is to set us set out a set of AI ai principles on DDE. What we did is actually wrote down seven things that we will that we think I should do and four things that we should not do that we will not do. And we now have to actually look at everything that we're doing against those Aye aye principles. And so part of that is coming up with that governance process because ultimately it boils down to doing this over and over, seeing lots of cases and figuring out what what you should do and so that governments process is something we're doing. But I think it's something that every company is going to need to do. >>Sharon, I want to come back to you, so we'll shift gears to talk a little bit about about law. We've all seen Zuckerberg, unfortunately for him has been, you know, stuck in these congressional hearings over and over and over again. A little bit of a deer in a headlight. You made an interesting comment on your prior show that he's almost like he's asking for regulation. You know, he stumbled into some really big Harry nasty areas that were never necessarily intended when they launched Facebook out of his dorm room many, many moons ago. So what is the role of the law? Because the other thing that we've seen, unfortunately, a lot of those hearings is a lot of our elected officials are way, way, way behind there, still printing their e mails, right? So what is the role of the law? How should we think about it? What shall we What should we invite from fromthe law to help sort some of this stuff out? >>I think as an individual, right, I would like for each company not to make up their own set of principles. I would like to have a shared set of principles that were following the challenge. Right, is that with between governments, that's impossible. China is never gonna come up with same regulations that we will. They have a different privacy standards than we D'oh. Um, but we are seeing locally like the state of Washington has created a future of work task force. And they're coming into the private sector and asking companies like text you and like Google and Microsoft to actually advise them on what should we be regulating? We don't know. We're not the technologists, but they know how to regulate. And they know how to move policies through the government. What will find us if we don't advise regulators on what we should be regulating? They're going to regulate it in some way, just like they regulated the tobacco industry. Just like they regulated. Sort of, um, monopolies that tech is big enough. Now there is enough money in it now that it will be regularly. So we need to start advising them on what we should regulate because just like Mark, he said. While everyone else was doing it, my competitors were doing it. So if you >>don't want me to do it, make us all stop. What >>can I do? A negative bell and that would not for you, but for Mark's responsibly. That's crazy. So So bob old man at the mall. It's actually a little bit more codified right, There's GDP are which came through May of last year and now the newness to California Extra Gatorade, California Consumer Protection Act, which goes into effect January 1. And you know it's interesting is that the hardest part of the implementation of that I think I haven't implemented it is the right to be for gotten because, as we all know, computers, air, really good recording information and cloud. It's recorded everywhere. There's no there there. So when these types of regulations, how does that impact? Aye, aye, because if I've got an algorithm built on a data set in in person, you know, item number 472 decides they want to be forgotten How that too I deal with that. >>Well, I mean, I think with Facebook, I can see that as I think. I suspect Mark knows what's right and wrong. He's just kicking ball down tires like >>I want you guys. >>It's your problem, you know. Please tell me what to do. I see a ice kind of like any other new technology, you know, it could be abused and used in the wrong waste. I think legally we have a constitution that protects our rights. And I think we're going to see the lawyers treat a I just like any other constitutional things and people who are building products using a I just like me build medical products or other products and actually harmful people. You're gonna have to make sure that you're a I product does not harm people. You're a product does not include no promote discriminatory results. So I >>think we're going >>to see our constitutional thing is going applied A I just like we've seen other technologies work. >>And it's gonna create jobs because of that, right? Because >>it will be a whole new set of lawyers >>the holdings of lawyers and testers, even because otherwise of an individual company is saying. But we tested. It >>works. Trust us. Like, how are you gonna get the independent third party verification of that? So we're gonna start to see a whole terrorist proliferation of that type of fields that never had to exist before. >>Yeah, one of my favorite doctor room. A child. Grief from a center. If you don't follow her on Twitter Follower. She's fantastic and a great lady. So I want to stick with you for a minute, Bob, because the next topic is autonomous. And Rahman up on the keynote this morning, talked about missed and and really, this kind of shifting workload of fixing things into an autonomous set up where the system now is, is finding problems, diagnosing problems, fixing problems up to, I think, he said, even generating return authorizations for broken gear, which is amazing. But autonomy opens up all kinds of crazy, scary things. Robert Gates, we interviewed said, You know, the only guns that are that are autonomous in the entire U. S. Military are the ones on the border of North Korea. Every single other one has to run through a person when you think about autonomy and when you can actually grant this this a I the autonomy of the agency toe act. What are some of the things to think about in the word of the things to keep from just doing something bad, really, really fast and efficiently? >>Yeah. I mean, I think that what we discussed, right? I mean, I think Pakal purposes we're far, you know, there is a tipping point. I think eventually we will get to the CP 30 Terminator day where we actually build something is on par with the human. But for the purposes right now, we're really looking at tools that we're going to help businesses, doctors, self driving cars and those tools are gonna be used by our customers to basically allow them to do more productive things with their time. You know, whether it's doctor that's using a tool to actually use a I to predict help bank better predictions. They're still gonna be a human involved, you know, And what Romney talked about this morning and networking is really allowing our I T customers focus more on their business problems where they don't have to spend their time finding bad hard were bad software and making better experiences for the people. They're actually trying to serve >>right, trying to get your take on on autonomy because because it's a different level of trust that we're giving to the machine when we actually let it do things based on its own. But >>there's there's a lot that goes into this decision of whether or not to allow autonomy. There's an example I read. There's a book that just came out. Oh, what's the title? You look like a thing. And I love you. It was a book named by an A I, um if you want to learn a lot about a I, um and you don't know much about it, Get it? It's really funny. Um, so in there there is in China. Ah, factory where the Aye Aye. Is optimizing um, output of cockroaches now they just They want more cockroaches now. Why do they want that? They want to grind them up and put them in a lotion. It's one of their secret ingredients now. It depends on what parameters you allow that I to change, right? If you decide Thio let the way I flood the container, and then the cockroaches get out through the vents and then they get to the kitchen to get food, and then they reproduce the parameters in which you let them be autonomous. Over is the challenge. So when we're working with very narrow Ai ai, when use hell the Aye. Aye. You can change these three things and you can't just change anything. Then it's a lot easier to make that autonomous decision. Um and then the last part of it is that you want to know what is the results of a negative outcome, right? There was the result of a positive outcome. And are those results something that we can take actually? >>Right, Right. Roger, don't give you the last word on the time. Because kind of the next order of step is where that machines actually write their own algorithms, right? They start to write their own code, so they kind of take this next order of thought and agency, if you will. How do you guys think about that? You guys are way out ahead in the space, you have huge data set. You got great technology. Got tensorflow. When will the machines start writing their own A their own out rhythms? Well, and actually >>it's already starting there that, you know, for example, we have we have a product called Google Cloud. Ottawa. Mel Village basically takes in a data set, and then we find the best model to be able to match that data set. And so things like that that that are there already, but it's still very nascent. There's a lot more than that that can happen. And I think ultimately with with how it's used I think part of it is you have to start. Always look at the downside of automation. And what is what is the downside of a bad decision, whether it's the wrong algorithm that you create or a bad decision in that model? And so if the downside is really big, that's where you need to start to apply Human in the loop. And so, for example, in medicine. Hey, I could do amazing things to detect diseases, but you would want a doctor in the loop to be able to actually diagnose. And so you need tohave have that place in many situations to make sure that it's being applied well. >>But is that just today? Or is that tomorrow? Because, you know, with with exponential growth and and as fast as these things are growing, will there be a day where you don't necessarily need maybe need the doctor to communicate the news? Maybe there's some second order impacts in terms of how you deal with the family and, you know, kind of pros and cons of treatment options that are more emotional than necessarily mechanical, because it seems like eventually that the doctor has a role. But it isn't necessarily in accurately diagnosing a problem. >>I think >>I think for some things, absolutely over time the algorithms will get better and better, and you can rely on them and trust them more and more. But again, I think you have to look at the downside consequence that if there's a bad decision, what happens and how is that compared to what happens today? And so that's really where, where that is. So, for example, self driving cars, we will get to the point where cars are driving by themselves. There will be accidents, but the accident rate is gonna be much lower than what's there with humans today, and so that will get there. But it will take time. >>And there was a day when will be illegal for you to drive. You have manslaughter, right? >>I I believe absolutely there will be in and and I don't think it's that far off. Actually, >>wait for the day when I have my car take me up to Northern California with me. Sleepy. I've only lived that long. >>That's right. And work while you're while you're sleeping, right? Well, I want to thank everybody Aton for being on this panel. This has been super fun and these air really big issues. So I want to give you the final word will just give everyone kind of a final say and I just want to throw out their Mars law. People talk about Moore's law all the time. But tomorrow's law, which Gardner stolen made into the hype cycle, you know, is that we tend to overestimate in the short term, which is why you get the hype cycle and we turn. Tend to underestimate, in the long term the impacts of technology. So I just want it is you look forward in the future won't put a year number on it, you know, kind of. How do you see this rolling out? What do you excited about? What are you scared about? What should we be thinking about? We'll start with you, Bob. >>Yeah, you know, for me and, you know, the day of the terminus Heathrow. I don't know if it's 100 years or 1000 years. That day is coming. We will eventually build something that's in part of the human. I think the mission about the book, you know, you look like a thing and I love >>you. >>Type of thing that was written by someone who tried to train a I to basically pick up lines. Right? Cheesy pickup lines. Yeah, I'm not for sure. I'm gonna trust a I to help me in my pickup lines yet. You know I love you. Look at your thing. I love you. I don't know if they work. >>Yeah, but who would? Who would have guessed online dating is is what it is if you had asked, you know, 15 years ago. But I >>think yes, I think overall, yes, we will see the Terminator Cp through It was probably not in our lifetime, but it is in the future somewhere. A. I is definitely gonna be on par with the Internet cell phone, radio. It's gonna be a technology that's gonna be accelerating if you look where technology's been over last. Is this amazing to watch how fast things have changed in our lifetime alone, right? Yeah, we're just on this curve of technology accelerations. This in the >>exponential curves China. >>Yeah, I think the thing I'm most excited about for a I right now is the addition of creativity to a lot of our jobs. So ah, lot of we build an augmented writing product. And what we do is we look at the words that have happened in the world and their outcomes. And we tell you what words have impacted people in the past. Now, with that information, when you augment humans in that way, they get to be more creative. They get to use language that have never been used before. To communicate an idea. You can do this with any field you can do with composition of music. You can if you can have access as an individual, thio the data of a bunch of cultures the way that we evolved can change. So I'm most excited about that. I think I'm most concerned currently about the products that we're building Thio Give a I to people that don't understand how to use it or how to make sure they're making an ethical decision. So it is extremely easy right now to go on the Internet to build a model on a data set. And I'm not a specialist in data, right? And so I have no idea if I'm adding bias in or not, um and so it's It's an interesting time because we're in that middle area. Um, and >>it's getting loud, all right, Roger will throw with you before we have to cut out, or we're not gonna be able to hear anything. So I actually start every presentation out with a picture of the Mosaic browser, because what's interesting is I think that's where >>a eyes today compared to kind of weather when the Internet was around 1994 >>were just starting to see how a I can actually impact the average person. As a result, there's a lot of hype, but what I'm actually finding is that 70% of the company's I talked to the first question is, Why should I be using this? And what benefit does it give me? Why 70% ask you why? Yeah, and and what's interesting with that is that I think people are still trying to figure out what is this stuff good for? But to your point about the long >>run, and we underestimate the longer I think that every company out there and every product will be fundamentally transformed by eye over the course of the next decade, and it's actually gonna have a bigger impact on the Internet itself. And so that's really what we have to look forward to. >>All right again. Thank you everybody for participating. There was a ton of fun. Hope you had fun. And I look at the score sheet here. We've got Bob coming in and the bronze at 15 points. Rajan, it's 17 in our gold medal winner for the silver Bell. Is Sharna at 20 points. Again. Thank you. Uh, thank you so much and look forward to our next conversation. Thank Jeffrey Ake signing out from Caesar's Juniper. Next word unpacking. I Thanks for watching.

Published Date : Nov 14 2019

SUMMARY :

We don't have to do it over the phone s so we're happy to have him. Thank you, Christy. So just warm everybody up and we'll start with you. Well, I think we all know the examples of the south driving car, you know? So this is kind I have a something for You know, you start getting some advertising's And that one is is probably the most interesting one to be right now. it's about the user experience that you can create as a result of a I. Raja, you know, I think a lot of conversation about A They always focus the general purpose general purpose, And I think it really boils down to getting to the right use cases where a I right? And how do you kind of think about those? the example of beach, you type sheep into your phone and you might get just a field, the Miss Technology and really, you know, it's interesting combination of data sets A I E. I think we all know data sets with one The tipping points for a I to become more real right along with cloud in a just versus when you first started, you're not really sure how it's gonna shake out in the algorithm. models, basically, to be able to predict if there's gonna be an anomaly or network, you know? What do you do if you don't have a big data set? I mean, so you need to have the right data set. You have to be able thio over sample things that you need, Or do you have some May I objectives that you want is that you can actually have starting points. I couldn't go get one in the marketplace and apply to my data. the end, you need to test and generate based on your based on your data sets the business person and the hard core data science to bring together the knowledge of Here's what's making Um, the algorithms that you use I think maybe I had, You know, if you look at Marvis kind of what we're building for the networking community Ah, that you can't go in and unpack it, that you have to have the Get to the root cause. Yeah, assigned is always hard to say. So what about when you change what you're optimizing? You can finally change hell that Algren works by changing the reward you give the algorithm How does it change what you can do? on the edge and one exciting development is around Federated learning where you can train The problem to give you a step up? And to try to figure out what data you want to send to Shawna, back to you let's shift gears into ethics. so you need to build it in from the beginning, and you need to be open and based upon principles. But it feels like with a I that that is now you can cheat. but it is to have a suite of products that if you weren't that coke, you can buy it. You want to jump in? No. Who gave that mirror the right to basically tell me I'm old and actually do something with that data right now. So how should we, you know, kind of try to stay ahead of that or at least go back reflectively after the fact would have said in that example, that was wrong. But if you ask somebody in Alabama, What we know is wrong, you know is gonna be wrong So how should people, you know, kind of make judgments in this this big gray and over, seeing lots of cases and figuring out what what you should do and We've all seen Zuckerberg, unfortunately for him has been, you know, stuck in these congressional hearings We're not the technologists, but they know how to regulate. don't want me to do it, make us all stop. I haven't implemented it is the right to be for gotten because, as we all know, computers, Well, I mean, I think with Facebook, I can see that as I think. you know, it could be abused and used in the wrong waste. to see our constitutional thing is going applied A I just like we've seen other technologies the holdings of lawyers and testers, even because otherwise of an individual company is Like, how are you gonna get the independent third party verification of that? Every single other one has to run through a person when you think about autonomy and They're still gonna be a human involved, you know, giving to the machine when we actually let it do things based on its own. It depends on what parameters you allow that I to change, right? How do you guys think about that? And what is what is the downside of a bad decision, whether it's the wrong algorithm that you create as fast as these things are growing, will there be a day where you don't necessarily need maybe need the doctor But again, I think you have to look at the downside And there was a day when will be illegal for you to drive. I I believe absolutely there will be in and and I don't think it's that far off. I've only lived that long. look forward in the future won't put a year number on it, you know, kind of. I think the mission about the book, you know, you look like a thing and I love I don't know if they work. you know, 15 years ago. It's gonna be a technology that's gonna be accelerating if you look where technology's And we tell you what words have impacted people in the past. it's getting loud, all right, Roger will throw with you before we have to cut out, Why 70% ask you why? have a bigger impact on the Internet itself. And I look at the score sheet here.

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Eric Herzog, IBM | CUBEConversation, March 2019


 

(upbeat music) [Announcer] From our studios in the heart of Silicon Valley Palo Alto, California. This is a CUBE conversation. >> Hi, I'm Peter Burris, and welcome to another CUBE conversation from our studios in beautiful Palo Alto, California. One of the biggest challenges that every user faces is how are they going to arrange their resources that are responsible for storing, managing, delivering, and protecting data. And that's a significant challenge, but it gets even worse when we start talking about multi-cloud. So, today we've got Eric Herzog who's the CMO and VP of Worldwide Storage Channels at IBM Storage to talk a bit about the evolving relationship of what constitutes a modern, comprehensive storage portfolio and multi-cloud. Eric, welcome to theCUBE. >> Peter, Thank you, thank you. >> So, start off, what's happening with IBM Storage these days, and let's get into this kind of how multi-cloud is affecting some of your decisions, and some of your customer's decisions. >> So, what we've done, is we've started talking about multi-cloud over two years ago. When Ed Walsh joined the company as a general manager, we went on an analyst roadshow, in fact, we came here to theCUBE and shot a video, and we talked about how the IBM Storage Division is all about multi-cloud. And we look about that in three ways. First of all, if you are creating a private cloud, we work with you. From a container, whether you're Vmware based, whether you are doing a more traditional cloud- private cloud. Now the modern private cloud, all container based. Second is Hybrid Cloud, data on parem, out to a public cloud provider. And the third aspect, and in fact, you guys have written about it in one of your studies is that no one is going to use one public cloud provider, they're going to use multiple cloud providers. So whether that be IBM Cloud, which of course we love because we're IBM shareholders, but we work with Amazon, we work with Google, and in fact we work with any cloud provider. Our Spectrum Protect backup product, which is one of the most awarded enterprise backup packages can backup to any cloud. In fact, over 350 small to medium cloud providers, the engine for their backup as a service, is Spectrum Protect. Again, completely heterogeneous, we don't care what cloud you use, we support everyone. And we started that mantra two and a half years ago, when Ed first joined the company. >> Now, I remember when you came on, we talked a lot about this notion of data first and the idea that data driven was what we talked about >> Right, data driven. >> And increasingly, we talked about, or we made the observation that enterprises were going to take a look at the natural arrangement of their data, and that was going to influence a lot of their cloud, a lot of their architecture, and certainly a lot of their storage divisions or decisions. How is that playing out? Is that still obtaining? Are you still seeing more enterprises taking this kind of data driven approach to thinking about their overall cloud architectures? >> Well the world is absolutely data-centric. Where does the data go? What are security issues with that data? How is it close to the compute when I need it? How do I archive I, how do I back it up? How do I protect it? We're here in Silicon Valley. I'm a native Palo Alton, by the way, and we really do have earthquakes here, and they really do have earthquakes in Japan and China and there is all kinds of natural disasters. And of course as you guys have pointed out, as have almost all of the analysts, the number one cause of data loss besides humans is actually still fire. Even with fire suppressant data centers. >> And we have fires out here in Northern California too. >> That's true. So, you've got to make sure that you're backing up that data, you're archiving the data. Cloud could be part of that strategy. When does it need to be on parem, when does it need to be off parem? So, it's all about being a data-driven, and companies look at the data, profile the date and time, What sort of storage do I need? Can I go high end, mid-range and entry, profile that data, figure that out, what they need to do. And then do the same thing now with on parem and off parem. For certain data sets, for security reasons, legal reasons you probably are not going to put it out into a public cloud provider. But other data sets are ideal for that and so all of those decisions that are being made by: What's the security of the data? What's the legality of that data? What's the performance I need of that data? And, how often do I need the data? If you're going to constantly go back and forth, pull data back in, going to a public cloud provider, which charge both for in and out of the data, that actually may cost more than buying an Array on parem. And so, everyone's using that data-centricity to figure out how do they spend their money, and how do they optimize the data to use it in their applications, workloads and use cases. >> So, if you think about it, the reality is by application, workload, location, regulatory issues, we're seeing enterprises start to recognize and increase specialization of their data assets. And that's going to lead to a degree of specializations in the classes of data management and storage technologies that they utilize. Now, what is the challenge of choosing a specific solution versus looking at more of a portfolio of solutions, that perhaps provide a little bit more commonality? How are customers, how are the IMB customer base dealing with that question. >> Well, for us the good thing was to have a broad portfolio. When you look at the base storage Arrays we have file, block and object, they're all award winning. We can go big, we can go medium, and we can go small. And because of what we do with our Array family we have products that tend to be expensive because of what they do, products that mid-price and products that are perfect for Herzog's Bar and Grill. Or maybe for 5,000 different bank branches, 'cause that bank is not going to buy expensive storage for every branch. They have a small Array there in case core goes down, of course. When you or I go in to get a check or transact, if the core data center is down, that Wells Fargo, BofA, Bank of Tokyo. >> Still has to do business. >> They are all transacting. There's a small Array there. Well you don't want to spend a lot of money for that, you need a good, reliable all flash Array with the right RAS capability, right? The availability, capability, that's what you need, And we can do that. The other thing we do is, we have very much, cloud-ified everything we do. We can tier to the cloud, we can backup to the cloud. With object storage we can place it in the cloud. So we've made the cloud, if you will, a seamless tier to the storage infrastructure for our customers. Whether that be backup data, archive data, primary data, and made it so it's very easy to do. Remember, with that downturn in '08 and '09 a lot of storage people left their job. And while IT headcount is back up to where it used to be, in fact it's actually exceeded, if there was 50 storage guys at Company X, and they had to let go 25 of them, they didn't hire 25 storage guys now, but they got 10 times the data. So they probably have 2 more storage guys, they're from 25 to 27, except they're managing 10 times the data, so automation, seamless integration with clouds, and being multi-cloud, supporting hybrid clouds is a critical thing in today's storage world. >> So you've talked a little bit about format, data format issues still impact storage decisions. You've talked about how disasters or availability still impact storage decisions, certainly cost does. But you've also talked about some of the innovative things that are happening, security, encryption, evolved backup and and restore capabilities, AI and how that's going to play, what are some of the key thing that your customer base is asking for that's really driving some of your portfolio decisions? >> Sure, well when we look beyond making sure we integrate with every cloud and make it seamless, the other aspect is AI. AI has taken off, machine learning, big data, all those. And there it's all about having the right platform from an Array perspective, but then marrying it with the right software. So for example, our scale-out file system, Spectrum Scale can go to Exabyte Class, in fact the two fastest super computers on this planet have almost half an exabyte of IBM Spectrum Scale for big data, analytics, and machine learning workloads. At the same time you need to have Object Store. If you're generating that huge amount of data set in AI world, you want to be able to put it out. We also now have Spectrum discover, which allows you to use Metadata, which is the data about the data, and allow and AI app, a machine learning app, or an analytics app to actually access the metadata through an API. So that's one area, so cloud, then AI, is a very important aspect. And of course, cyber resiliency, and cyber security is critical. Everyone thinks, I got to call a security company, so the IBM Security Division, RSA, Check Point, Symantec, McAfee, all of these things. But the reality is, as you guys have noted, 98% of all enterprises are going to get broken into. So while they're in your house, they can steal you blind. Before the cops show up, like the old movie, what are they doing? They're loading up the truck before the cops show up. Well guess what, what if that happened, cops didn't show up for 20 minutes, but they couldn't steal anything, or the TV was tied to your fingerprint? So guess what, they couldn't use the TV, so they couldn't steal it, that's what we've done. So, whether it be encryption everywhere, we can encrypt backup sets, we can encrypt data at rest, we can even encrypt Arrays that aren't ours with our Spectrum Virtualize family. Air gapping, so that if you have ransomware or malware you can air-gap to tape. We've actually created air gapping out with a cloud snapshot. We have a product called Safeguard Copy which creates what I'll call a faux air gap in the mainframe space, but allows that protection so it's almost as if it was air gapped even though it's on an Array. So that's a ransomware and malware, being able to detect that, our backup products when they see an unusual activity will flag the backup restore jam and say there is unusual activity. Why, because ransomware and malware generate unusual activity on back up data sets in particular, so it's flaky. Now we don't go out and say, "By the way, that's Herzog ransomware, or "Peter Burris ransomware." But we do say "something is wrong, you need to take a look." So, integrating that sort of cyber resiliency and cyber security into the entire storage portfolio doesn't mean we solve everything. Which is why when you get an overall security strategy, you've got that Great Wall of China to keep the enemy out, you've got the what I call, chase software to get the bad guy once he's in the house, the cops that are coming to get the bad guy. But you've got to be able to lock everything down, you'll do it. So a comprehensive security strategy, and resiliency strategy involves not only your security vendor, but actually your storage vendor. And IBM's got the right cyber resiliency and security technology on the storage side to marry up, regardless of which security vendor they choose. >> Now you mention a number of things that are associated with how an enterprise is going to generate greater leverage, greater value out of data that you already know. So, you mentioned, you know, encryption end to end, you mention being able to look at metadata for AI applications. As we move to a software driven world of storage where physical volumes can still be made more virtual so you can move them around to different workloads. >> Right. >> And associate the data more easily, tell us a little bit about how data movement becomes an issue in the storage world, because the storage has already been associated with it's here. But increasingly, because of automation, because of AI, because of what businesses are trying to do, it's becoming more associated with intelligent, smart, secure, optimized movement of data. How is that starting to impact the portfolio? >> So we look at that really as data mobility. And data mobility can be another number of different things, for example, we already mentioned, we treat clouds as transparent tiers. We can backup to cloud, that's data mobility. We also tier data, we can tier data within an Array, or the Spectrum Virtualize product. We can tier data, block data cross 450 Arrays, most of which aren't IBM logo'd. We can tier from IBM to EMC, EMC can then tier to HDS, HDS can tier to Hitachi, and we do that on Arrays that aren't ours. So in that case what you're doing is looking for the optimal price point, whether it be- >> And feature set. >> And feature sets, and you move things, data around all transparently, so it's all got to be automated, that's another thing, in the old days we thought we had Nirvana when the tiering was automatically moved the data when it's 30 days old. What if we automatically move data with our Easy Tier technology through AI, when the data is hot moves it to the hottest tier, when the data is cold it puts it out to the lowest cost tier. That's real automation leveraging AI technology. Same thing, something simple, migration. How much money have all the storage companies made on migration services? What if you could do transparent block migration in the background on the fly, without ever taking your servers down, we can do that. And what we do is, it's so intelligent we always favor the data set, so when the data is being worked on, migration slows down. When the data set slows down, guess what? Migration picks up. But the point is, data mobility, in this case from an old Array to an new Array. So whether it be migrating data, whether it be tiering data, whether you're moving data out to the cloud, whether it be primary data or backup data, or object data for archive, the bottom line is we've infused not only the cloudification of our storage portfolio, but the mobility aspects of the portfolio. Which does of course include cloud. But all tiering more likely is on premise. You could tier to the cloud, but all flash Array to a cheap 7200 RPM Array, you save a lot of money and we can do that using AI technology with Easy Tier. All examples of moving data around transparently, quickly, efficiently, to save cost both in CapEx, using 7200 RPM Arrays of course to cut costs, but actually OpEx the storage admin, there aren't a hundred storage admins at Burris Incorporated. You had to let them go, you've hired 100 of the people back, but you hired them all for DevOps so you have 50 guys in storage >> Actually there are, but I'm a lousy businessman so I'm not going to be in business long. (laughing) One more question, Eric. I mean look you're an old style road warrior, you're out with customers a lot. Increasingly, and I know this because we've talked about it, you're finding yourself trying to explain to business people, not just IT people how digital business, data and storage come together. When you're having these conversations with executives on the business side, how does this notion of data services get discussed? What are some of the conversations like? >> Well I think the key thing you got to point out is storage guys love to talk speeds and feeds. I'm so old I can still talk TPI and BPI on hard drives and no one does that anymore, right? But, when you're talking to the CEO or the CFO or the business owner, it's all about delivering data at the right performance level you need for your applications, workloads and use cases, your right resiliency for applications, workloads and use cases, your right availability, so it's all about application, workloads, and use cases. So you don't talk about storage speeds and feeds that you would with Storage Admin, or maybe in the VP of infrastructure in the Fortune 500, you'd talk about it's all about the data, keeping the data secure, keeping the data reliable, keeping it at right performance. So if it's on the type of workload that needs performance, for example, let's take the easy one, Flash. Why do I need Flash? Well, Mr. CEO, do you use logistics? Of course we do! Who do you use, SAP. Oh, how long does that logistics workload take? Oh, it takes like 24 hours to run. What if I told you you could run that every night, in an hour? That's the power of Flash. So you translate what you and I are used to, storage nerdiness, we translate it into businessfied, in this case, running that SAP workload in an hour vs. 24 has a real business impact. And that's the way you got to talk about storage these days. When you're out talking to a storage admin, with the admin, yes, you want to talk latency and IOPS and bandwidth. But the CEO is just going to turn his nose up. But when you say I can run the MongoDB workload, or I can do this or do that, and I can do it. What was 24 hours in an hour, or half an hour. That translates to real data, and real value out of that data. And that's what they're looking for, is how to extract value from the data. If the data isn't performant, you get less value. If the data isn't there, you clearly have no value. And if the data isn't available enough so that it's down part time, if you are doing truly digital business. So, if Herzog's Bar and Grill, actually everything is done digitally, so before you get that pizza, or before you get that cigar, you have to order it online. If my website, which has a database underneath, of course, so I can handle the transactions right, I got to take the credit card, I got to get the orders right. If that is down half the time, my business is down, and that's an example of taking IT and translating it to something as simple as a Bar and Grill. And everyone is doing it these days. So when you talk about, do you want that website up all the time? Do you need your order entry system up all the time? Do you need your this or that? Then they actually get it, and then obviously, making sure that the applications run quickly, swiftly, and smoothly. And storage is, if you will, that critical foundation underneath everything. It's not the fancy windows, it's not the fancy paint. But if that foundation isn't right, what happens? The whole building falls down. And that's exactly what storage delivers regardless of the application workload. That right critical foundation of performance, availability, reliability. That's what they need, when you have that all applications run better, and your business runs better. >> Yeah, and the one thing I'd add to that, Eric, is increasingly the conversations that we're having is options. And one of the advantages of a large portfolio or a platform approach is that the things you're doing today, you'll discover new things that you didn't anticipate, and you want the option to be able to do them quickly. >> Absolutely. >> Very, very important thing. So, applications, workload, use cases, multi-cloud storage portfolio. Eric, thanks again for coming on theCUBE, always love having you. >> Great, thank you. >> And once again, I'm Peter Burris, talking with Eric Herzog, CMO, VP of Worldwide Storage Channels at IBM Storage. Thanks again for watching this CUBE conversation, until next time. (upbeat music)

Published Date : Mar 22 2019

SUMMARY :

[Announcer] From our studios in the heart One of the biggest challenges that every user faces how multi-cloud is affecting some of your And the third aspect, and in fact, you guys have take a look at the natural arrangement of their And of course as you guys have pointed out, as have What's the legality of that data? How are customers, how are the IMB customer base And because of what we do with our Array family We can tier to the cloud, we can backup to the cloud. AI and how that's going to play, But the reality is, as you guys have noted, 98% of data that you already know. And associate the data more easily, tell us a little HDS, HDS can tier to Hitachi, and we cloudification of our storage portfolio, but the What are some of the conversations like? And that's the way you got to talk about storage these days. Yeah, and the one thing I'd add to that, Eric, is multi-cloud storage portfolio. And once again, I'm Peter Burris, talking with

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Annabel Chang, Alaska Airlines | Alaska Airlines Elevated Experience 2019


 

(upbeat music) >> Hey, welcome back everybody, Jeff Frick here with theCube. We're at San Francisco International Gate 54B, at the Alaska Elevated Experience Event. It's pretty exciting, they're really used the opportunity on the Virgin integration, to kind of rebrand everything. Redo the planes, add a lot of new technology, and we're really happy to have our next guest , she's Annabel Chang, she's the vice president of the Bay area for Alaska. Annabelle great seeing you. >> Thank you for having me. >> So congratulations on the event,-- >> Yes. >> I'm sure there's a lot of work that went into this thing. >> Just to say the least, yes. >> So in your remarks during the pressor you spent a lot of time talking about the community involvement >> Yes >> I think you said that you guys invested over a million dollars in kind of local community >> Yes >> Types of activity. So highlight a couple of those organizations and why is it important for Alaska to play in the community that has nothing to do with me getting on an airplane and flying to Seatag. >> Ah, well it actually has everything to do with that. For example, last year we partnered up with the San Jose Mayor's office and the San Jose Public Library Foundation to offer the first ever free coding camp for girls. It was a week long coding camp. Parents didn't have to worry about providing breakfast or lunch. We had it all taken care of. Why does it matter to Alaska Airlines? We also need engineers to help create the apps, to help run the planes and it is super important that we have a diverse workforce that represents our community. Whether we fly and all of the focus that are onboard, as well. >> Right, so that's pretty interesting. Cause I don't think most people would think of you doing that, right? That's a little bit outside the seat mile, kind of calculation and really investing in the community. >> Yes >> A lot of conversation too about the investment in this terminal. You guys are at all 3 Bay Area airports thank you very much. I like to be able to hop on a plane if I'm delayed. >> Yeah >> But you guys are making a big investment here at SFO. >> Yes, so actually I will add a couple of things. We actually are at 6 Northern California airports. So in addition to our big Bay Area airports, we have flights out of Santa Rosa, right into wine country, Monterey and Sacramento. >> Flights out of Santa Rosa? >> Yes. You can bring that wine right onboard. Not, not a problem. Which is really exciting. But last week we just announced that we are going to be opening up a San Francisco lounge. 8500 sq ft. in 2020 on the third floor. You'll have stunning views of the runway. It'll be like nothing else. It'll be the highest domestic lounge at SFO. >> Right. I was wondering if you could just talk about, a little bit about, thinking about the entire customer experience. I had really interesting interview at GE Aviation. >> Yes >> Years ago, where even GE was thinking about kind from the time you leave your door at your house to the arrive at your destination, and all kind of that whole experience between. When you guys talk about lounges, and terminals, and gates, you really are trying to take a much more wholistic view then simply the travel of actual miles in the air. >> 100 percent. It is all about the guest experience. We are trying to be your favorite airline. And we have to earn that loyalty. So from the moment that you are thinking about booking the flight, we already want that to be as easy of a process as possible. From the moment that you deplane and get your bags. And hopefully, we are always looking for ways to be innovative. So, you know many years ago, Alaska Airlines was the first ever to have the kiosks and mobile check-in. And we continue to look for ways to be top in the field. And actually in flight, I'm proud to share that we have the most free movies in the sky, of any airlines. All I tend to watch a few of the same movies over and over again But literally you could scroll, scroll, scroll. It goes from A to Z. Most people kind of get stuck in like the Gs. >> They don't make it past the Gs. >> Yeah, but I promise there's some goodies in the back of the alphabet. >> Right, to just kind of close. You know you talk about WiFi, and you talked about movies, about kind of the role of technology and how Alaska continues to be innovative, leveraging technology with that, with the lounge, with the new C configurations. >> Yeah >> How important to you guys to be able to execute your vision. >> So we want to be your top west coast airline. And the west coast is obviously the tech hub of the entire world. So we know that our travelers care very much about technology. So we're looking ways creative, to make sure that everyone has power. As I always say ABC, always be charging. >> Right, right. >> So we want to make sure your tablets, your phone, your laptop is always available to charge. And we are looking for ways to be creative. So, for example, we know that everyone has personal mobile phones or laptops now. And we're looking for ways to make sure we can take advantage of that technology and offer it to you. >> Right. >> I know, number 1, fast WiFi is going to be key to our success. >> Well Annabel, thanks for taking a few minutes. We look forward to getting on the plane here >> Yeah. >> In a few minutes and >> We're going to have some ice cream aren't we. >> Oh we're going to have ice cream? Yes >> Salt and straw, you don't have to wait in line hopefully. >> Yeah, thank you. >> She's Annabel, I'm Jeff >> Thank you. >> You're watching theCube, we're here at SFO, Gate 54B. Soon we'll be at 35,000 feet. Thanks for watching. >> Awesome >> Catch you next time >> (upbeat music)

Published Date : Mar 1 2019

SUMMARY :

on the Virgin integration, to kind of rebrand everything. of work that went into this thing. in the community that has nothing to do the San Jose Public Library Foundation to offer kind of calculation and really investing in the community. I like to be able to hop on a plane if I'm delayed. So in addition to our big Bay Area airports, in 2020 on the third floor. I was wondering if you could just talk about, kind from the time you leave your door at your house So from the moment that you are thinking in the back of the alphabet. about kind of the role of technology and How important to you guys to be able to execute So we want to be your top west coast airline. So we want to make sure your tablets, I know, number 1, fast WiFi is going to be key We look forward to getting on the plane here You're watching theCube, we're here at SFO,

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Paul Daugherty, Accenture | Accenture Technology Vision Launch 2019


 

>> From the Salesforce Tower in downtown San Francisco, it's theCUBE covering Accenture TechVision 2019. Brought to you by SiliconANGLE Media. (electronic music) >> Welcome back everybody, Jeff Frick here with theCUBE. We're in downtown San Francisco at the Salesforce Tower, the 33rd floor, brand new Accenture Innovation Hub, five stories here in the building, the ribbon cutting this morning, and we're really excited to have our next guest. He's been on many times, I think the first time in 2013. Fresh off the plane from Davos, Paul Daugherty, great to see you. >> It's great to be here Jeff and thanks for joining us at this event. It's a really big day for us here. >> Absolutely, now I didn't get your title in, I give you Chief Technology and Innovation Officer. You're really at kind of the forefront, so let's jump into the TechVision. This is something you guys do every year. You pick five kind of big trends that we should be taking a look at. There's a lot of detail. People can (laughs) take their time to read through it. But, I just want to touch on some of the highlights. What are some of the big changes from when we sat down a year ago? >> We have five trends this year. The number of trends varies a little bit, but the, you know, I think the one key takeaway and highlight from the Vision this year is this idea, the big idea, that we're entering the post-digital era, and I think many people will be surprised by that. They'll go what do ya mean post-digital? >> When you said that earlier today, I'm like post? We're just right in the meat of it aren't we? >> Right, but just to contextualize that a little bit, last year companies spent 1.1 trillion dollars on digital transformation. 94% of companies are doing some stage of digital transformation. 68% of them said they're pretty well set with their digital transformation. >> They said they're set? >> They're in good shape. Now you can question it. >> Does that surprise you? >> I question it, yes, it surprises me, and we're not sure that that's entirely-- >> Accurate? >> Representative, >> That's okay. >> But nonetheless, what is true is that every organization is adopting digital, and the question we're asking in the Vision is if everybody's doing digital, what's going to differentiate you? And, we believe that that's the characteristics of the post-digital environment where what you did leading up to now isn't going to be enough to differentiate you and lead to success in the future. In the post-digital era, it's about some new business concepts about how you shape your business and new technologies and some new corporate obligations that are going to be instrumental in your success as an organization. >> I want to dig into that a little bit 'cause I think it's a really interesting conversation. At the ribbon cutting this morning, we had representatives from the city and county of San Francisco, a representative from, I think, San Francisco State academic institution, and you said in some earlier remarks today that the responsibility for the company has moved beyond kind of stewardship for their customers, stewardship for their employees and their shareholders, but really they've got to be kind of active contributors to the community. And, that's been kind of called out over the last couple years especially in the tech industry that hey, you can't just do this stuff willy-nilly. You got to kind of take responsibility for what you can do. >> Yeah, well put, and that's one of the key things that we've been talking about in prior Visions, if you'll recall. This year, it's a big theme. The importance of this is, it's not just because it feels good. It's not just because you want to create good headlines. It's instrumental to your business success to be responsible, to create trust with your workers, employees, consumers and citizens and people in the communities you live in, and I'll explain why. What's happening is, we're creating increasingly intimate technology-enabled experiences for consumers. Think about implantable medical devices to prevent epileptic seizures. Think about the monitoring devices we use. Think about the information that's collected on us. People swipe on Tinder 1.1 million times per second, 3.7 million Google searches per second, 178 million emails per second, 266,000 hours of Netflix tracking every pause, play, fast forward, yeah per second, 266,000 hours. There's so much information collected on us out there. Our information is being used in so many different ways, and the technology is enabling companies to create individualized services for you that are great for consumers, but they're only going to be great if companies build the trust with their customers to get that data from them and if they honor the boundaries of responsibility to make sure they can sustain those products and services. >> But Paul, you scare me to death because every day we hear this breach, that breach, this breach, that breach. It's almost now-- >> Three billion identities in 2018 alone stolen. >> That's half the world, right, or almost. So, it's almost like okay, that's going to happen. And now that you're getting all this additional information, now you can tie the information from my phone that I'm takin' eight trips to 7-Eleven a day and spending way too much time on my couch not movin' around and how those things are going to tie together. One, for kind of the ethics of how the information is used when they have it, and two, it is probably going to get breached. An amazing concept you talked about earlier today, a digital twin. We hear about it from GE all the time for a jet engine, but to have a digital twin of me in some data base, that's, uh, you know, it's with everything, right? There's a good side and a scary side. >> There is, but I think this is where the idea of trust becomes very important. We need to think about, companies need to think about these services and their consumers in different ways. A lot of people, including myself, in the past have used phrases like data is the new oil. Data's the gold of artificial intelligence in this digital age we're living. I think that's dead wrong, and we got to change the mindset. Data isn't fuel or gold. Each piece of data is a fragment of a person and represents a part of a person's activity and identity, and I think if you change your thinking that way, and if you take a view that it's not all about optimizing the use of data, but it's about carefully using data in the right way that builds trust and provides value for the consumer, and you get that equitable exchange of value, that's what the future's all about. >> Right, so one of the topics, and again, we don't have time to go through all of 'em here, and you're going to give a presentation later, it's kind of just the whole machine and human interaction and how that's evolving. Specifically, I want to ask in terms of the work world. We hear about RPA, and everybody should have their own bots, and you can have bionic legs, so that you don't hurt your back if you're doing lifting. So, as you guys kind of look at how these things are melding, it's going to be an interesting combination of people with machines that are going to enable this kind of next gen of work. >> Yeah, no it'll be interesting. I think the important thing that we need to really think about is that like anything else, all these technologies are being designed by us, and we're deciding how to use them. We're deciding the principals around it, so this is about how do we design the world we want which gets back to the theme around responsibility and such. If you look at it, we find that workers are actually optimistic about the technology. Two thirds of workers are positive and optimistic about how all this technology's going to improve their job to even increase career prospects, but only half of those workers believe that their companies are going to provide them with the right training and learning. When we're talking about the human plus trend in here, the human plus worker trend is that it's not a nice to have for companies to provide learning platforms and train their employees. It's critical to their success because the jobs are changing so fast, roles are changing so fast, that if you as a company don't invest in a learning platform to continuously advance your people to fill the new jobs as they're being redefined every day, you as a company are going to get left behind, and that's what we're talking about in the human plus trend of the Vision. >> Right, another thing we hear all the time in terms of how technology's advancing on accelerating curves and people aren't so good at accelerating curves, but very specifically how no one person in one particular industry really has visibility as to what's happening in all these tangential. What's happening in health care? What's happening in drugs? What's happening in logistics? I'm in the media business, so I don't know. You guys are really sitting in an interesting catbird seat because you can see the transformation and the impacts of technology across this huge front, and it's that movement across that front which is really accelerating this thing way faster than people realize I think. >> Yeah it is, and it's a great position to be in to be able to look across like that. The thing I would say though is that unlike other eras of technology earlier, we're seeing remarkably broad industry adoption of these concepts. It's a little different in each industry as you just said, but every industry is looking at this. The interesting thing to me is one of the most common requests that I get from CEOs and from the C-Suite is they want to pull together a workshop, and they want to talk about their strategy and where they're going, and very often, more often than not now, they're saying, and I want to hear from people outside my industry. I want to hear what's happening over there. If I'm in insurance, I might want to hear what's happening in retail, or you know, they want to hear about different industries because they understand that the change is happening differently. They want to make sure they're not missing a pattern that they could apply in their own industry. >> Right, so last question before I let you go. You're speaking all the time. You're talkin' to customers. You go to cool shows like Davos and get to hang out with other big-brained people, but you get to participate in all these things, and now you have this facility. What does the Innovation Hub and these resources enable you to do with the clients that you couldn't do as we sit here in this beautiful new facility? >> Yeah, that's a great question. It's something we've worked on really hard over the last four or five years. It's creating what we call our Innovation Architecture, and it's, what we think, a unique way of putting together capability from research and thought leadership to our Accenture Ventures which is our venture capital investing arm to Accenture Labs which is our R and D and inventors to our studios where we co-create with clients to our industry professionals, the 2,000 people here in Northern California that are working with our clients everyday, and we can put all that together to turn the idea, the research, into results very quickly for our clients, and I don't think anybody can do it in the same way we can by co-like-heading all this and by the sheer investment we put into this. We invest over 800 million dollars a year in research and development, over a billion dollars a year in training for our people, and that results in things like 6,500, 6,500 patents that we generate, more than anybody else in our sector, and 1,400 of those come from our people right here in the San Francisco Innovation Hub, so it's an amazing place for innovation right here. >> All right, well Paul, thanks again for taking a few minutes. I know it's a busy day. You're gettin' ready to go present the findings for people. Where should they go to learn more about the TechVision? >> Go to accenture.com dot, uh, accenture.com/techvision. I think at midnight tonight Pacific Time it'll be out there, but by the time they see this, they'll probably have access to it, thanks. >> Paul, thanks for takin' a minute and good luck tonight. >> Always fun, thanks Jeff. >> He's Paul, I'm Jeff, you're watchin' theCUBE. We're at the Accenture Innovation Hub in downtown San Francisco in the Salesforce Tower. Thanks for watchin'. (electronic music)

Published Date : Feb 7 2019

SUMMARY :

Brought to you by SiliconANGLE Media. the ribbon cutting this morning, It's great to be here Jeff so let's jump into the TechVision. from the Vision this year Right, but just to Now you can question it. and the question we're especially in the tech industry that hey, in the communities you live But Paul, you scare me to in 2018 alone stolen. One, for kind of the ethics of the consumer, and you get in terms of the work world. in the human plus trend of the Vision. and the impacts of technology that the change is happening differently. Davos and get to hang out with over the last four or five years. more about the TechVision? but by the time they see this, Paul, thanks for takin' a in the Salesforce Tower.

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John del Santo, Accenture | Accenture Technology Vision Launch 2019


 

>> From the Salesforce tower in downtown San Francisco, it's theCUBE, covering Accenture Tech Vision 2019 brought to you by Silicon Angle Media. (upbeat music) >> Hey welcome back, everybody. Jeff Frick here with theCUBE. We are in an exciting new location. Last year we covered the Accenture technology vision release 2018. It was at Minna Gallery, cool event. But this year the venue is off the hook and 33 stories high and we're really excited to be in the brand-new Accenture Innovation Hub and joining me here our first guest, John Del Santo, he is the senior managing director for the West region for Accenture and he is responsible for this beautiful five-story. So John, first off congratulations to you and the team. >> Thanks, it's been a big project opening up this place over the last year, but it's come together great. >> Yeah and this morning they had a nice ribbon cutting, all kinds of dignitaries so, you know, what does this mean in terms of kind of, you've been with the center a long time. Your presence in the Bay Area specifically, but also as part of more of this global innovation effort. >> Well I think it's this, this is bringing together all the best of Accenture that we already had in the Bay Area. We're putting it all under one roof. We're relocating everybody and we're expanding the team. So we announced 500 new technology jobs here in this location over the next year and expanding our apprentice program. But basically, it's all about bringing more talent to this location in San Francisco to do more projects with clients in this space. >> Right. So we'll get into it with some of the other folks that we have scheduled, but it's both a coworking space for the Accenture people in town and three solid floors of all kinds of labs and innovation, kind of hands-on spaces, if you will, to do this work with your clients. >> Absolutely, that co-creation, we think, is what is really differentiating us from our competitors and it's really allowing our clients to work with us and our experts, our technology experts, and the ecosystem partners that we do a ton of work with, real time to solve a problem. Brainstorm a problem, prototype it, solve it over a very short period of time. >> Yeah, I think it's a pretty unique approach that you guys have, which is imagine the future and then create the future. >> Yeah >> As opposed to just reacting to the future. And you made an interesting comment this morning about, you know, be the disrupter, not the disruptee. And my question is really, as you see the leadership at these traditional companies that are afraid of being disrupted, how are they kind of changing the way that they do things, knowing that the digital natives and the threats that they don't even see coming from a completely different direction are now bearing down, and they have to get with the program. >> Well they do have to. And then it's really our job, our purpose, you know, the talent that we have in this company's purpose is to make our clients succeed and be disrupters. Because if they're not, they will be disrupted. And so it's in our best interest to make sure we're bringin' in the best talent, pushing their thinking on ideas, and actually getting to a solution that can actually allow them to differentiate and serve their customers better. >> Right. >> So that's what we're all about, is making sure our clients are successful. >> And draggin' 'em kicking and screaming? Or are they, are they seeing-- >> Absolutely not. >> Are they seeing it in their competition? I mean, in terms of kind of that board-level discussion, where, you know, it's passe that everybody's a technology company, and everybody's doing digital disruption, but you're down in the weeds helping these people actually execute the detail. >> Yeah, well it's funny, you say everyone's a digital company, that was our big theme a few years ago at this exact event. >> Right, right. >> Absolutely, not kicking and screaming. Most executive teams, most business teams that we work with understand that they need to change. The pace of change at their business is rapid, it's faster and faster, and every year it gets faster, and so they need to actually be a lot more agile in that >> Right. >> And move quickly. >> So one of the big things in like the singularity and accelerating pace of change. And some of these big kind of macro trends that we're experiencing is that there's no single person that sees all the innovation change across this broad front, by industry, by role, etc. You guys are in a pretty unique position 'cause you actually get to see the technology innovation and the disruption and the digitization across a number of industries as well as a number of roles. So you can kind of see this big huge glacier that's moving down the valley. >> That's one of the really cool things about this particular geography and location is that literally steps from our door here on Mission Street in San Francisco, we've got clients from ten, fifteen different industries that we serve, and we can bring talent from ten or fifteen plus different industries plus the technology skills to make sure they're looking at the problem from all angles. So if it's a retailer, are they really thinking about financial services, 'cause we've got both skills here. If it's a retailer, are they thinking about platform-based selling? Do they have an omnichannel strategy? We've got the skills in this location cross-industry to help serve banks, retailers, products companies, software platform companies, etc. And I don't think you can find that anywhere else, at least in the Continental United States, given kind of where we are in our geography. >> Right. So you had a couple of special guests this morning at the ribbon cutting. You had a customer, which is great, but you also had a representative from City of San Francisco and I just want to shift gears and talk about, you know, what it is to be kind of an active member of the community. You know, the responsibility of companies we're seeing, with kind of this backlash, if you will, against some of the mega-companies out there. It's more than just taking care of your customers. It's more than just taking care of your employees and even your stockholders. But now companies are being asked to be more kind of responsible and active participants in their local community. That's always been sort of part of our ethos. It's always been part of our vision to help our clients succeed, but also to change the way the world works and lives. And therefore, we have to be really active in our communities. We're being a little bit more explicit about it lately. But it's our view that we need to be able to improve where we're working and living, 'cause our people are active and it's important that we help serve 'em. We have a very strong public service business. We serve the State of California, we serve the City and County of San Francisco as well as well as other entities in California. And it's critical for us to help improve California as we improve the businesses in California. And so it's clearly part of our mission. >> Right. The other thing I think it's interesting is kind of companies' roles with higher education. We've seen a lot of work that Accenture's doing with community colleges and, you know, it's more than just helping so that you get good talent to feed your own system, >> Right. >> But it's really, as the pace of change just continues to accelerate, you know, historical institutions aren't necessarily best-equipped to move that fast. So again, you guys are taking a much more active, you probably done it before, but more active vocal role in the local academic institutions as well. >> Absolutely, I mean, our university relationships are really, really strong, always have been. But it's always been a little selfish on our end. We're always trying to get the best talent out of the universities locally here and there's obviously great schools in the Bay Area. We want to be more engaged with those universities on projects together as well. We want more of a 360-degree relationship. We've got great examples of where we've done research with some of the universities here locally, where we've co-innovated with some of them and we want to do more of that so that there's more of a solid relationship. It's not just about us, you know, helping them find the best students to work here, >> Right. >> Which we want, (laughs) and we do every year, but making sure that we're actually involvin' them from a research perspective and any other kind of, you know, philanthropic idea that we might have together. >> Right. So big event tonight, big event this morning, >> Yeah. >> So before I let you go, it's a brand-new space, I wonder if you could share a couple fun facts for the people who haven't come to visit yet, but hopefully will come as part of a project and a co-creation about some of the cool unique features that you guys have-- >> Well some >> Built in this thing. >> Unique features in the building. First of all, there's unique features with the talent. So we have researchers here, labbers, we call 'em, from our labs, that have, you know, Accenture has thousands of patents. More than 10% of them have been actually invented here. So our inventors are a secret that we've had in Northern California for a long time and they're all based here now. We've got some really cool spaces. We've got an augmented reality room, which is basically a 360-degree room where you can, rather than having to wear virtual-reality goggles, you can actually go inside of a computer, go inside of a lab, go inside of a hospital, and get an experience that's much more hands-on and a lot more immersive, if you will, than you could any other way. We've got a maker lab where we actually are makin' stuff. So we've got a design business here where we've helped physically make not only software, we make a lot of software, everyone knows that, but we've actually made products that have embedded software in them and so there's that fabrication capability we actually have in this building as well, which is pretty unique for a high-rise. (laughs) so >> Right. No, we saw all the machines back there, >> Yup. >> Had a good tour earlier today so-- >> Oh lots of robots and toys and all that good stuff, too. >> Yeah, that's right, it's all the robot room. All right, well, John, thanks for taking a few minutes of your time. Really exciting day for you and the team, >> Yeah. >> And nothing but congratulations. >> Thank you so much. >> All right. >> Thank you, thanks for coming. >> He's John, I'm Jeff, you're watching theCUBE. We're at the brand-new Accenture Innovation Hub in downtown San Francisco in the Salesforce tower. Thanks for watching. (upbeat music)

Published Date : Feb 7 2019

SUMMARY :

brought to you by Silicon Angle Media. So John, first off congratulations to you and the team. over the last year, but it's come together great. all kinds of dignitaries so, you know, that we already had in the Bay Area. that we have scheduled, but it's both a coworking space and the ecosystem partners that we do a ton of work with, that you guys have, which is imagine the future and the threats that they don't even see coming the talent that we have in this company's purpose So that's what we're all about, where, you know, it's passe you say everyone's a digital company, and so they need to actually be a lot more agile and the disruption and the digitization plus the technology skills to make sure and it's important that we help serve 'em. it's more than just helping so that you get good talent just continues to accelerate, you know, It's not just about us, you know, you know, philanthropic idea that we might have together. So big event tonight, big event from our labs, that have, you know, No, we saw all the machines and the team, for coming. in downtown San Francisco in the Salesforce tower.

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Sazzala Reddy, Datrium & Stuart Lewallen, Sonoma County | VMworld 2018


 

>> Live from Las Vegas, it's theCUBE. Covering VMworld 2018. Brought to you by VMware and its ecosystem partners. >> Welcome back. This is theCUBE in Las Vegas. VMworld 2018. Three days wall-to-wall coverage with two sets. We've got about 95 guests and so many sessions that people go to in this, happy to have one of the sessions that just went on come to give you a view into what people attending VMworld are talking about. I'm Stu Miniman with my cohost Justin Warren. Happy to welcome back to the program Sazzala Reddy, who's the Chief Technology Officer with Datrium. He's brought a customer along with him. His name is also Stuart like mine, spelled the proper Scottish way S-T-U-A-R-T, Lewallen, who is the Data Center Team Lead with Sonoma County. Gentleman, thanks so much for joining us. >> Happy to be here. >> Thanks for having us. >> Stuart, we're going to get to the tech and your role, but first of all Sonoma County. Some, I guess, interesting might not be the right thing to say, but it's been a lot of activity going on. Maybe you can share what's been happening in your neck of the woods. >> Last October, we had a little bit of excitement. We had some wildfires roll through. Burned about 140 square miles. Burned a little bit over 5,000 houses. Unfortunately, 42 people lost their life in the disaster. A lot of lessons were learned from that. >> Horrific. We've seen what's happened. I've got a lot of friends and some family in California. We've seen people far and wide that have been effected. How were you involved with this and I know you talked a little bit about it in your session? >> I was wakened in the middle of the night by a page, somebody letting me know hey, we got a problem here. They were telling me they were already evacuating. At that point, I knew it was something serious so I started getting my family ready for evacuation. Started trying to gather news about what was actually going on and what I had found was the fire had started in Napa County and was being driven by 16 mile an hour winds. It had moved 12 miles in the first three hours. Nobody was able to get a handle on it. Nobody really even knew which way it was going. That's what our emergency operations center was trying to track is where is it and where is it headed to try to get people there. >> We have a bit of familiarity with wildfires in Australia. It's well-known, it's horrific to be involved with. Tell us a little bit about how you were managing that situation day to day. What does that actually do to your normal day, it just goes out the window. What did that feel like, what was that like when you were in that situation? >> That's a fantastic question. My entire team was scattered all over Northern California. I was in San Anselmo, one of my guys was in Fresno, one of the guys had packed up his trailer and went to the beach. One of the guys was in an evacuation center and everybody was ready to go. Everybody was scattered. The county center, the fires had gotten within three blocks of our data center, so the county center had been evacuated and they wouldn't let us back. Everybody was working remote. That mostly worked OK, but again, we had a lot of learning points. From the after action, we learned a lot from what worked well and what didn't. >> Sazzala, people often talk about the human things, but technology's a lot of times involved in a lot of these emergencies, disaster recovery. I remember numerous times in my career when I worked on the vendor side where SWAT teams are helping and you've got the base product, but bring us in as to how technology plays in. >> If you talk to anybody and say what's your dream plan of DR, they can draw a nice picture, but the reality is it can be too expensive. Even if the money's not the problem, then it's painful to set up and it's fearful when you have a problem. You have fear, like is it going to work for me? If you still look at the innovation in the last decade, there was deduplication, VMware has changed infrastructure, cloud is here, AI is here, but still DR happens to be still one of those not moved forward in terms of innovation. That's something where we see the opportunity for us to help customers take to the next level. >> That's true, and maybe you can bring that in of going well how did Datrium actually help you in this situation with that DR aspect? What did that look like? >> During the event, there was really not a lot of involvement of Datrium other than the fact that one of their field engineers emailed me and said hey, do you need anything? Anything at all. I'll bring you a generator, water, food, whatever you need. Which was fantastic, you think who does that? Datrium does. Sorry, I had to get a little plug in there for you guys. Very happy with that. But, in the aftermath, when we were evaluating what we did good and what we did bad, what needs improvement and how do we do that? That's where they really came in and helped us. Helped us to get an easy way to move our data offsite. That was a fantastic product, and that's one we just started using and recently came out is the ability to back-up local data to AWS in a very simplistic way. >> If you have a data center, you also have a second data center most people set up so they can do DR for it. It's an expensive operation. It just sits there, does nothing, and then waiting for one day to show up and be used magically. If you change anything here, you got to go change something there. It is untenable kind of a model. It's a cost center for a CIOs. A lot of people I talk to, that's an easy one to eliminate and get rid of it. The cloud is here, let's take advantage of it. It's an on-demand infrastructure. Let's use that leverage for doing disaster recovery in the cloud. Because it's expensive, as you all know, cloud. There's a 80-page manual for AWS, just for pricing. It's expensive but for a week or two weeks of disaster, it is a perfectly awesome use case. There are a few things you need. It has to work well, it has to be cost effective, and it has to be operationally consistent. What I mean by that is that if you move from your workloads from your data center to the public cloud, it has to look the same. If it looks different from you, then you're not going to use it. Fundamentally, that's a thing where we have helped is that how do we bring that, how do you do back-ups to the cloud? How do you think about the orchestration software and how does that work? How do you bring up the workloads in the cloud so that it looks similar when you move from here to there? To some degree, cloud is a commodity, right? Let's use it that way. Let's take advantage of the hybrid cloud because it's already there. This is what Datrium is doing. >> A few more things that came out of our experience was we realized that failover had to be simple. The reason it had to be simple was exactly what I said before. You have no idea who you're going to have on your staff that's able to pull the trigger on this. It can't be some complex thing that only two people in your organization can do and it takes three days just to get it kicked off. It's got to be a push button, it really does these days. To make it effective. And it's got to be able to be tested. You've got to be able to validate that it's going to work. You can't wait and just hope and pray that when that day comes that it's going to work. I think, finally, it's got to be affordable. If it's not in your budget, it's not even a starter. You're going back to scripts and people running things. >> (laughing) The idea that you have to hope that that script that you wrote once is actually going to work in the middle of that disaster. You're going, oh yeah, that's right, I forgot to fix that bug. It's not something that you really want to do. Just being able to rely on something in that situation is really important. Stuart, you mentioned something before we went on to camera that you were quite interested in, which is coming from Datrium, which is around that movement of data into the cloud. Maybe you could tell us a little bit more about what that feature is and why you find it interesting. >> Think of it as like on offsite tape back-up, that's basically what it replaced. We used to spend, back in the day when we had mainframes, we spent a bazillion dollars having tapes shipped offsite. That's what everybody did back in the day. Then you went to on-site tapes that got moved, and then you went to disk arrays and you went to a remote disk array. That's kind of how things have transitioned and now instead of having a disk array somewhere else, why not just put it up in the cloud? AWS is very money-efficient as far as putting data there. If you don't need to do anything with it, which is what you're describing is your offsite back-up, it's a fantastic use case. >> This feature's coming out soon, I believe? >> It's coming out soon, we announced it-- >> And I'm sorry, I missed what it's called. >> Sorry? >> The feature? >> Yes, it's going to come out, it's called CloudShift. >> Thank you. >> It's going to be happening pretty soon. We're announcing it today. We have some demos in our booth, you can come by and check it out. If you look at applications, most people think about the application life cycle. There is the running of applications at high-performance, there's backing it up, and then doing DR. That's how the life cycle is. But if you look at the, no company has solved it end to end. I don't know why, but everybody seems to be doing piecemeal solutions, so you end up with five different products in your data center and they work together very well. Then you pray, like Murphy's Law, that it's all going to work together for you, when you actually have a problem, to get it resolved. That's kind of hoping for things to work well for you. >> Stuart, now you like five different products, right? >> No. (all laughing) I like one different product. The reality is everything's been cobbled together for years. Truly, if it was that simple, I'd be doing something else probably, they wouldn't pay me to do what I do. In this particular case, it's got to be simple. You can't rely on having your best or any particular people there in an emergency, so it's got to be simple. Has to be. >> Yeah. >> Having that (mumbles) platform really changes the game, basically. >> Stuart, talk to us, what are you looking for from the vendor community going forward? We talked about this one feature. Anything else on your wish list to make things simpler, as you've said, I think is one of the key criteria that you're looking for? >> You see all the commercials these days. Make it simple. People have simple buttons and everybody wants push button, everybody wants it simple. They want to make technology simple for everybody, for the average person. I think it's a laudable effort. I think that's where it has to go. It can't be all complex and it can't be the old days where you had guys that they were the only guys that knew anything and they became indispensable. These days, everybody has to know how to do things. You can't rely on one person cause, God forbid, what if they get hit by a bus? What if they just go to a different company and then you're left with this big hole? Simplicity is the key to any organization, really. >> You know what's simpler than one click? Zero clicks. Because one click requires you to read the manual. You'll just see what does it do for me? That's something, how we think about it, really try hard to do zero click. But it's very hard, though, because you have to build a lot more things into the system to imagine how this is going to work for the customer and imagine the best case scenario for the customer. >> It's certainly something, we're seeing a trend in a lot of companies here is automation and actually taking all of that manual effort out of things and having that automation actually be baked into the product as well, rather than relying on customers to have to automate their own environment. It just comes with it, which goes to that we just want an easy button. We want to have something which I don't even have to press the button, it presses its own buttons. >> We're living in the age of convenience. >> Yeah. >> (mumbles) Amazon to ship us products before we know it. (all laughing) >> I'll subscribe to that. >> I shudder to think what my house would fill up with there. (all laughing) >> Excellent. Sazzala and Stuart, really appreciate you giving the update. Stuart, we hope that things with the wildfires settle down, we know it's been challenging to deal with there. Thanks so much for sharing the story. >> Thanks for having me. >> Thanks for having us. >> Absolutely. Justin Warren, and I'm Stu Miniman, we'll be back with more coverage here from VMworld 2018. Thanks for watching theCUBE. (electronic tones)

Published Date : Aug 29 2018

SUMMARY :

Brought to you by VMware that people go to in this, happy to the tech and your role, A lot of lessons were learned from that. How were you involved with to try to get people there. that situation day to day. One of the guys was in as to how technology plays in. it going to work for me? Sorry, I had to get a little and it has to be operationally consistent. And it's got to be able to be tested. that you have to hope and then you went to missed what it's called. Yes, it's going to come Law, that it's all going to it's got to be simple. really changes the game, basically. Stuart, talk to us, Simplicity is the key to the system to imagine I don't even have to press (mumbles) Amazon to ship I shudder to think what my to deal with there. Justin Warren, and I'm

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Azam Shaghaghi, Shivom.io


 

(upbeat music) >> Live from Toronto, Canada. It's The Cube, covering Blockchain, futurist conference 2018. Brought to you by, The Cube. >> Hello, everyone, welcome back. The Cube's live coverage here in Toronto, Ontario, for Untraceable's Blockchain futurist conference. Two days, this is day one of two days, of Cube coverage. I'm John Furrier, your host. Our next guest is, Azam Shaghaghi, who is the director of public relations, and strategy for Shivom.io. Really interesting story, raised a bunch of money in 15 seconds in an ICO. Really interesting story, welcome to The Cube. Thanks for coming in. >> Yeah, thank you so much for having me. >> So we were just talking on camera, you studied at NASA in Northern California, where I live, and you've got this really cool venture. Before we get into it, talk about what you guys did with the ICO, then talk about what the company does. >> Sure, the project Shivom is about owning your own DNA. So, we are sequencing DNA, and storing it on the patient-friendly platform on Blockchain. Which actually give the power back to the donors, and the people that have the... I mean, and the users, basically. So basically, you can monetize, manage and... >> Control your data. >> Control your own data. >> How much did you guys raise? You did 15 seconds, give us the numbers. What happened? >> So we raised the 35 million. We reached the hard-cap, our public sell was sold out under 15 seconds. >> 15 seconds? - 15 seconds. >> And what month was that? >> It was, actually, on May, the third. >> So it was post, after, I mean, a lot of these actually just went out last year. Still, that's really a good signal, given the climate at that time. >> Exactly, and I think it's about what your actually, your intention is, in order to disrupt. We're talking about genomic information. We're talking about healthcare. At a very highly regulated industry, right? A lot of things have been untapped in that sector. So, hopefully, with the help of Blockchain, A.I., and advanced technology, we can disrupt. >> Now I...Crystal Rose, who's the CEO of Sensay Token, when I interviewed her, in Puerto Rico, she had a comment, which I love, I still use to this day. She makes kind of like A.I. chat boxes, really cool things, your brain and the Blockchain. Similar concept that you're doing, you're DNA on the Blockchain, that you can own and manage, for your own personal benefit, and/or value. >> Exactly. >> That's kind of the concept, if I get that right? >> That it is. >> Okay, who does the genoming? >> Oh, you mean the sequencing? >> Yeah, the sequencing. >> So, I mean, right now, there are companies out there that they do the, I mean, the... >> So, I've got to get it done, and then I bring it to the platform? How does that work? >> So what we, actually, we do, we have created the marketplace, for the industry players, right? For the donors, for the users, for the governments, hospitals, insurance companies, and research labs. So, basically, after you sequence your DNA, we can, you can give it us and we sequence, we manage it, and secure it, store it on the Blockchain. Obviously, we are doing a lot of partnerships with different companies and different ventures. We have an alliance, with different partners out there, that we do, we're trying to promote that, in terms of also helping to develop the kits. >> So I get this right, so a variety of touchpoints, with stakeholders, service providers would do the service, >> Exactly. >> and the users themselves...so if I get my DNA sequence... >> Why? >> If I get my DNA sequence... >> Right... >> Do I direct the provider to put it on the Blockchain, or do I take it myself and put it on the Blockchain? >> So, when you sequence, well, okay, so you just sign up in our platform, >> Got it. >> and after that you sign up in order to sequence your DNA. The kit will be sent out to you. So, it's all through Spark contract. >> So I use your marketplace and you do all the work? >> We do all the work. >> Got it, and how does the tokens work? >> So, basically... >> The better the DNA, the more tokens you get? I wish. Whoops! >> I wish it was like that. I don't think that there is a discussion of a better... >> Okay, I know I'm kidding. >> like DNA. >> I'm afraid you get my DNA sequence, I've got all of these diseases, who knows what I have. Alzheimers or, you know. >> Well that's maybe why you should figure that out, right? Why don't you just sequence your DNA? But, what was the question again? I'm sorry, I forgot. >> So I use your marketplace, and I instruct the service provider to put the DNA. How does the tokens work? >> Oh yes, so the token is OMX token. So, per transaction there is kind of like the token economics that actually has, is kind of like being managed. For example, you donate your DNA to a research lab, you get a certain amount of OMX, and each OMX is going to be worth, you know, some fraction to a varium. >> So some people might know 23 and me. >> Right. >> And do the mail-order kit, same thing. I think some other folks have, I think Ancestry.com does something similar. How do you guys differ from them? Just, decentralized, or they are centralized, obviously. >> They're very centralized, and there is also, there has been research going on, and that they even don't know what is going on, after they sequence your DNA, where that information is going, how is it being stored, so it is all, kind of like, company's property after it is... then you, kind of like, basically sign an agreement that you will give out all the authority to them, and they can do whatever they want to do with it. So basically you are on chain, and we are creating this economy of precision... so, we are promoting precision medicine, we're promoting advanced healthcare, and how we can tackle rare disease, for example, like cancer. We just kicked off, two projects, one in India, and one in Africa. So, we partner with EMQT, a not-for-profit organization, in Africa, in order to sequence 100 people that has Sickle Cell Disease. >> If I want to team the company, how big are you guys, what are you going to do with the funding, where's the product? Take us to a quick update on where you guys are at. >> Sure, we just actually, we had a shuffle in our management team after the ICO, obviously. Now we are moving towards the product development. So, we are hiring a lot of developers, we are working on product development. We are on our roadmap, and are on track. Obviously, we have initiation, re-initiated some of the partnerships, and some of the projects. We are on our marketing, get innovative, kind of like PR, strategy right now, and with a new team... >> And what's the PR strategy, you're in charge of that, is there an outreach, is it promoting the service provider, does it get the marketplace out there? >> It's everything, literally. So we are at the first thing, that our first pillar is the community. So, we want to have the community, you know, engaged in everything that we do. We keep updating them, we get them involved. That's what matters, you know, with us, and we have an organic, kind of like, community. We've already great support in Asia, in India, I mean all over the world, but we are like, very kind of like, you know, some industries favorite...market's favorite. >> Community's super important, well I love your mission. I'd love to keep in touch. It's getting loud in here, but I'd love to follow up with you guys. >> Yeah, obviously, thank you so much for your time. >> People, it's a great project, I mean, it's one of those things where this is a real example of de-centralization, where you can use your own information, and broker that for value. Be part of studies, I'd imagine. >> Exactly. >> Engage with community. >> And create an impact. >> Great, so thanks so much for coming out, appreciate it. It's The Cube coverage live, here, in Toronto, Ontario, for the Blockchain Futurist conference, John Furrier, day one, coverage. Thanks for watching. (digital music)

Published Date : Aug 16 2018

SUMMARY :

Brought to you by, The Cube. I'm John Furrier, your host. Before we get into it, talk about what you guys did So, we are sequencing DNA, and storing it on the How much did you guys raise? So we raised the 35 million. 15 seconds? given the climate at that time. and advanced technology, we can disrupt. for your own personal benefit, and/or value. So, I mean, right now, there are companies out there So, basically, after you sequence your DNA, and after that you sign up in order to sequence your DNA. The better the DNA, the more tokens you get? I don't think that there is a discussion I'm afraid you get my DNA sequence, Why don't you just sequence your DNA? and I instruct the service provider to put the DNA. and each OMX is going to be worth, you know, How do you guys differ from them? and we are creating this economy of precision... what are you going to do with the funding, So, we are hiring a lot of developers, So, we want to have the community, you know, but I'd love to follow up with you guys. de-centralization, where you can use your own information, for the Blockchain Futurist conference,

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Jaron Lanier, Author | PTC LiveWorx 2018


 

>> From Boston, Massachusetts, it's the cube. covering LiveWorx 18, brought to you by PTC. (upbeat music) >> Welcome back to the Boston Seaport everybody. My name is David Vellante, I'm here with my co-host Stu Miniman and you're watching the cube, the leader in live tech coverage. We're at LiveWorx PTC's big IOT conference. Jaron Lanier is here, he's the father of virtual reality and the author of Dawn of the New Everything. Papa, welcome. >> Hey there. >> What's going on? >> Hey, how's it going? >> It's going great. How's the show going for you? It's cool, it's cool. It's, it's fine. I'm actually here talking about this other book a little bit too, but, yeah, I've been having a lot of fun. It's fun to see how hollow lens applied to a engines and factories. It's been really cool to see people seeing the demos. Mixed reality. >> Well, your progeny is being invoked a lot at the show. Everybody's sort of talking about VR and applying it and it's got to feel pretty good. >> Yeah, yeah. It seems like a VR IoT blockchain are the sort of the three things. >> Wrap it all with digital transformation. >> Yeah, digital transformation, right. So what we need is a blockchain VR IoT solution to transform something somewhere. Yeah. >> So tell us about this new book, what it's called? >> Yeah. This is called the deleting all your social media accounts right now. And I, I realize most people aren't going to do it, but what I'm trying to do is raise awareness of how the a psychological manipulation algorithms behind the system we're having an effect on society and I think I love the industry but I think we can do better and so I'm kind of agitating a bit here. >> Well Jaron, I was reading up a little bit getting ready for the interview here and people often will attack the big companies, but you point at the user as, you know, we need to kind of take back and we have some onus ourselves as to what we use, how we use it and therefore can have impact on, on that. >> Well, you know, what I've been finding is that within the companies and Silicon Valley, a lot of the top engineering talent really, really wants to pursue ethical solutions to the problem, but feels like our underlying business plan, the advertising business plan keeps on pulling us back because we keep on telling advertisers we have yet new ways to kind of do something to tweak the behaviors of users and it kind of gradually pulls us into this darker and darker territory. The thing is, there's always this assumption, oh, it's what users want. They would never pay for something the way they pay for Netflix, they would never pay for social media that way or whatever it is. The thing is, we've never asked users, nobody's ever gone and really checked this out. So I'm going to, I'm kind of putting out there as a proposition and I think in the event that users turn out to really want more ethical social media and other services by paying for them, you know, I think it's going to create this enormous sigh of relief in the tech world. I think it's what we all really want. >> Well, I mean ad-based business models that there's a clear incentive to keep taking our data and doing whatever you want with it, but, but perhaps there's a better way. I mean, what if you're, you're sort of proposing, okay, maybe users would be willing to pay for various services, which is probably true, but what if you were able to give users back control of their data and let them monetize their data. What are your thoughts on that? >> Yeah, you know, I like a lot of different solutions, like personally, if it were just up to me, if I ran the world, which I don't, but if I ran the world, I can make every single person of the world into a micro-entrepreneur where they can package, sell and price their data the way they want. They can, they can form into associations with others to do it. And they can also purchase data from others as they want. And I think what we'd see is this flowering of this giant global marketplace that would organize itself and would actually create wonders. I really believe that however, I don't run the world and I don't think we're going to see that kind of perfect solution. I think we're going to see something that's a bit rougher. I think we might see something approximating that are getting like a few steps towards that, but I think we are going to move away from this thing where like right now if two people want to do anything on online together, the only way that's possible is if there's somebody else who's around to pay them, manipulate them sneakily and that's stupid. I mean we can be better than that and I'm sure we will. >> Yeah, I'm sure we will too. I mean we think, we think blockchain and smart contracts are a part of that solution and obviously a platform that allows people to do exactly what you just described. >> And, and you know, it's funny, a lot of things that sounded radical a few years ago are really not sounding too radical. Like you mentioned smart contracts. I remember like 10 years ago for sure, but even five years ago when you talked about this, people are saying, oh no, no, no, no, no, this, the world is too conservative. Nobody's ever going to want to do this. And the truth is people are realizing that if it makes sense, you know, it makes sense. And, and, and, and so I think, I think we're really seeing like the possibilities opening up. We're seeing a lot of minds opening, so it's kind of an exciting time. >> Well, something else that I'd love to get your thoughts on and we think a part of that equation is also reputation that if you, if you develop some kind of reputation system that is based on the value that you contribute to the community, that affects your, your reputation and you can charge more if you have a higher reputation or you get dinged if you're promoting fake news. That that reputation is a linchpin to the successful community like that. >> Well, right now the problem is because, in the free model, there's this incredible incentive to just sort of get people to do things instead of normal capitalist. And when you say buy my thing, it's like you don't have to buy anything, but I'm going to try to trick you into doing something, whatever it is. And, and, and if you ever direct commercial relationship, then the person who's paying the money starts to be a little more demanding. And the reason I'm bringing that up is that right now there's this huge incentive to create false reputation. Like in reviews, a lot of, a lot of the reviews are fake, followers a lot of them are fake instance. And so there's like this giant world of fake stuff. So the thing is right now we don't have reputation, we have fake reputation and the way to get real reputation instead of think reputation is not to hire an army of enforcing us to go around because the company is already doing that is to change the financial incentives so you're not incentivizing criminals, you know I mean, that's incentives come first and then you can do the mop up after that, but you have to get the incentives aligned with what you want. >> You're here, and I love the title of the book. We interviewed James Scott and if you know James Scott, he's one of the principals at ICIT down PTC we interviewed him last fall and we asked him, he's a security expert and we asked them what's the number one risk to our country? And he said, the weaponization of social media. Now this is, this is before fake news came out and he said 2020 is going to be a, you know, what show and so, okay. >> Yeah, you know, and I want to say there's a danger that people think this is a partisan thing. Like, you know, if you, it's not about that. It's like even if you happen to support whoever has been on, on the good side of social media manipulation, you should still oppose the manipulation. You know, like I was, I was just in the UK yesterday and they had the Brexit foot where there was manipulation by Russians and others. And you know, the point I've made over there is that it's not about whether you support Brexit or not. That's your business, I don't even have an opinion. It's not, I'm an American. That's something that's for somebody else. But the thing is, if you look at the way Brexit happened, it tore society apart. It was nasty, it was ugly, and there have been tough elections before, but now they're all like that. And there was a similar question when the, the Czechoslovakia broke apart and they didn't have all the nastiness and it's because it was before social media that was called the velvet divorce. So the thing is, it's not so much about what's being supported, whatever you think about Donald Trump or anything else, it's the nastiness. It's the way that people's worst instincts are being used to manipulate them, that's the problem. >> Yeah, manipulation denial is definitely a problem no matter what side of the aisle you're on, but I think you're right that the economic incentive if the economic incentive is there, it will change behavior. And frankly, without it, I'm not sure it will. >> Well, you know, in the past we've tried to change the way things in the world by running around in outlying things. For instance, we had prohibition, we outlawed, we outlawed alcohol, and what we did is we created this underground criminal economy and we're doing something similar now. What we're trying to do is we're saying we have incentives for everything to be fake, everything to be phony for everything to be about manipulation and we're creating this giant underground of people trying to manipulate search results or trying to manipulate social media feeds and these people are getting more and more sophisticated. And if we keep on doing this, we're going to have criminals running the world. >> Wonder if I could bring the conversation back to the virtual reality. >> Absolutely. >> I'm sorry about that. >> So, but you know, you have some concerns about whether virtual reality will be something you for good or if it could send us off the deep end. >> Oh yeah, well. Look, there's a lot to say about virtual reality. It's a whole world after all. So you can, there is a danger that if the same kinds of games are being played on smartphones these days were transferred into a virtual reality or mixed reality modalities. Like, you could really have a poisonous level of mind control and I, I do worry about that I've worried about that for years. What I'm hoping is that the smartphone era is going to force us to fix our ways and get the whole system working well enough so that by the time technologies like virtual reality are more common, we'll have a functional way to do things. And it won't, it won't all be turned into garbage, you know because I do worry about it. >> I heard, I heard a positive segment on NPR saying that one of the problems is we all stare at our phones and maybe when I have VR I'll actually be talking to actual people so we'll actually help connections and I'm curious to hear your thoughts on that. >> Well, you know, most of the mixed reality demos you see these days are person looking at the physical world and then there's extra stuff added to the physical world. For instance, in this event, just off camera over there, there's some people looking at automobile engines and seeing them augmented and, and that's great. But, there's this other thing you can do which is augmenting people and sometimes it can be fun. You can put horns or wings or long noses or something on people. Of course, you still see them with the headsets all that's great. But you can also do other stuff. You can, you can have people display extra information that they have in their mind. You can have more sense of what each other are thinking and feeling. And I actually think as a tool of expression between people in real life, it's going to become extremely creative and interesting. >> Well, I mean, we're seeing a lot of applications here. What are some of your favorites? >> Oh Gosh. Of the ones right here? >> Yes. >> Well, you know, the ones right here are the ones I described and I really like them, there's a really cool one of some people getting augmentation to help them maintain and repair factory equipment. And it's, it's clear, it's effective, it's sensible. And that's what you want, right? If you ask me personally what really, a lot of the stuff my students have done, really charms me like up, there was just one project, a student intern made where you can throw virtual like goop like paint and stuff around in the walls and it sticks and starts running down and this is running on the real world and you can spray paint the real world so you can be a bit of a juvenile delinquent basically without actually damaging anything. And it was great, it was really fun and you know, stuff like that. There was this other thing and other student did where you can fill a whole room with these representations of mathematical objects called tensors and I'm sorry to geek out, but you had this kid where all these people could work together, manipulating tensors and the social environment. And it was like math coming alive in this way I hadn't experienced before. That really was kind of thrilling. And I also love using virtual reality to make music that's another one of my favorite things, >> Talk more about that. >> Well, this is something I've been doing forever since the '80s, since the '80s. I've been, I've been at this for awhile, but you can make an imaginary instruments and play them with your hands and you can do all kinds of crazy things. I've done a lot of stuff with like, oh I made this thing that was halfway between the saxophone and an octopus once and I'll just >> Okay. >> all this crazy. I love that stuff I still love it. (mumbling) It hasn't gotten old for me. I still love it as much as I used to. >> So I love, you mentioned before we came on camera that you worked on minority report and you made a comment that there were things in that that just won't work and I wonder if you could explain a little bit more, you know, because I have to imagine there's a lot of things that you talked about in the eighties that, you know, we didn't think what happened that probably are happening. Well, I mean minority report was only one of a lot of examples of people who were thinking about technology in past decades. Trying to send warnings to the future saying, you know, like if you try to make a society where their algorithms predicting what'll happen, you'll have a dystopia, you know, and that's essentially what that film is about. It uses sort of biocomputer. They're the sort of bioengineered brains in these weird creatures instead of silicon computers doing the predicting. But then, so there are a lot of different things we could talk about minority report, but in the old days one of the famous VR devices which these gloves that you'd use to manipulate virtual objects. And so, I put a glove in a scene mockup idea which ended up and I didn't design the final production glove that was done by somebody in Montreal, but the idea of putting a glove a on the heroes hand there was that glove interfaces give you arm fatigue. So the truth is if you look at those scenes there physically impossible and what we were hoping to do is to convey that this is a world that has all this power, but it's actually not. It's not designed for people. It actually wouldn't work in. Of course it kind of backfired because what happened is the production designers made these very gorgeous things and so now every but every year somebody else tries to make the minority report interface and then you discover oh my God, this doesn't work, you know, but the whole point was to indicate a dystopian world with UI and that didn't quite work and there are many other examples I could give you from the movie that have that quality. >> So you just finished the book. When did this, this, this go to print the. >> Yeah, so this book is just barely out. It's fresh from the printer. In fact, I have this one because I noticed a printing flaw. I'm going to call the publisher and say, Oh, you got to talk to the printer about this, but this is brand new. What happened was last year I wrote a kind of a big book of advert triality that's for real aficionados and it's called Dawn of the new everything and then when I would go and talk to the media about it they'd say, well yeah, but what about social media? And then all this stuff, and this was before it Cambridge Analytica, but people were still interested. So I thought, okay, I'll do a little quick book that addresses what I think about all that stuff. And so I wrote this thing last year and then Cambridge Analytica happened and all of a sudden it's, it seems a little bit more, you know, well timed >> than I could have imagined >> Relevant. So, what other cool stuff are you working on? >> I have to tell you something >> Go ahead. >> This is a real cat. This is a black cat who is rescued from a parking lot in Oakland, California and belongs to my daughter. And he's a very sweet cat named Potato. >> Awesome. You, you're based in Northern California? >> Yeah, yeah, yeah. >> Awesome And he was, he was, he was an extra on the set of, of the Black Panther movie. He was a stand-in for like a little mini black panthers. >> What other cool stuff are you working on? What's next for you? >> Oh my God, there's so much going on. I hardly even know where to begin. There's. Well, one of the things I'm really interested in is there's a certain type of algorithm that's really transforming the world, which is usually called machine learning. And I'm really interested in making these things more transparent and open so it's less like a black box. >> Interesting. Because this has been something that's been bugging me you know, most kinds of programming. It might be difficult programming, but at least the general concept of how it works is obvious to anyone who's program and more and more we send our kids to coding camps and there's just a general societal, societal awareness of what conventional programming is like. But machine learning has still been this black box and I view that as a danger. Like you can't have society run by something that most people feel. It's like this black box because it'll, it'll create a sense of distrust and, and, I think could be, you know, potentially quite a problem. So what I want to try to do is open the black box and make it clear to people. So that's one thing I'm really interested in right now and I'm, oh, well, there's a bunch of other stuff. I, I hardly even know where to begin. >> The black box problem is in, in machine intelligence is a big one. I mean, I, I always use the example I can explain, I can describe to you how I know that's a dog, but I really can't tell you how I really know it's a dog. I know I look at a dog that's a dog, but. Well, but, I can't really in detail tell you how I did that but it isn't AI kind of the same way. A lot of AI. >> Well, not really. There's, it's a funny thing right now in, in, in the tech world, there are certain individuals who happen to be really good at getting machine language to work and they get very, very well paid. They're sort of like star athletes. But the thing is even so there's a degree of almost like folk art to it where we're not exactly sure why some people are good at it But even having said that, we, it's wrong to say that we have no idea how these things work or what we can certainly describe what the difference is between one that fails and that's at least pretty good, you know? And so I think any ordinary person, if we can improve the user interface and improve the way it's taught any, any normal person that can learn even a tiny bit of programming like at a coding camp, making the turtle move around or something, we should be able to get to the point where they can understand basic machine learning as well. And we have to get there. All right in the future, I don't want it to be a black box. It doesn't need to be. >> Well basic machine learning is one thing, but how the machine made that decision is increasingly complex. Right? >> Not really it's not a matter of complexity. It's a funny thing. It's not exactly complexity. It has to do with getting a bunch of data from real people and then I'm massaging it and coming up with the right transformation so that the right thing spit out on the other side. And there's like a little, it's like to me it's a little bit more, it's almost like, I know this is going to sound strange but it's, it's almost like learning to dress like you take this data and then you dress it up in different ways and all of a sudden it turns functional in a certain way. Like if you get a bunch of people to tag, that's a cat, that's a dog. Now you have this big corpus of cats and dogs and now you want to tell them apart. You start playing with these different ways of working with it. That had been worked out. Maybe in other situations, you might have to tweak it a little bit, but you can get it to where it's very good. It can even be better than any individual person, although it's always based on the discrimination that people put into the system in the first place. In a funny way, it's like Yeah, it's like, it's like a cross between a democracy and a puppet show or something. Because what's happening is you're taking this data and just kind of transforming it until you find the right transformation that lets you get the right feedback loop with the original thing, but it's always based on human discrimination in the first place so it's not. It's not really cognition from first principles, it's kind of leveraging data, gotten from people and finding out the best way to do that and I think really, really work with it. You can start to get a two to feel for it. >> We're looking forward to seeing your results of that work Jared, thanks for coming on the cube. You're great guests. >> Really appreciate it >> I really appreciate you having me here. Good. Good luck to all of you. And hello out there in the land that those who are manipulated. >> Thanks again. The book last one, one last plug if I may. >> The book is 10 arguments for deleting your social media accounts right now and you might be watching this on one of them, so I'm about to disappear from your life if you take my advice. >> All right, thanks again. >> All right. Okay, keep it right there everybody. We'll be back with our next guest right after this short break. You're watching the cube from LiveWorx in Boston. We'll be right back. (upbeat music)

Published Date : Jun 18 2018

SUMMARY :

brought to you by PTC. and the author of Dawn see people seeing the demos. and applying it and it's are the sort of the three things. Wrap it all with to transform something somewhere. This is called the deleting but you point at the user as, a lot of the top engineering talent and doing whatever you want with it, Yeah, you know, to do exactly what you just described. And, and you know, it's funny, and you can charge more if and then you can do the mop up after that, and if you know James Scott, But the thing is, if you look that the economic incentive Well, you know, in the past bring the conversation So, but you know, and get the whole system that one of the problems is But, there's this other thing you can do a lot of applications here. Of the ones right here? and you know, stuff like that. and you can do all kinds of crazy things. I love that stuff So the truth is if you So you just finished the book. and it's called Dawn of the new everything stuff are you working on? and belongs to my daughter. You, you're based in Northern California? of the Black Panther movie. Well, one of the things and, and, I think could be, you know, but it isn't AI kind of the same way. and that's at least pretty good, you know? but how the machine made that decision and then you dress it up in different ways Jared, thanks for coming on the cube. you having me here. The book last one, and you might be watching right after this short break.

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Mandy Whaley, Cisco DevNet | DevNet Create 2018


 

>> Announcer: Live from the Computer History Museum in Mountain View, California, it's The Cube, covering DevNet Create 2018. Brought to you by Cisco. >> Okay, welcome back, everyone. We're here live with The Cube in Mountain View, California for exclusive coverage of Cisco DevNet Create. I'm John Furrier with my co-host today, Lauren Cooney. Our next guest is Mandy Whaley, who's the Director of Developer Experience at Cisco DevNet, been on multiple times. She's also the key person here in the DevNet community on the Cisco side, putting all of this together with Susie Wee and the team. Great to have you back. >> Thank you! >> You look fabulous. >> Really excited to be here. >> Great job on the stage today. I want to just quickly get the news out there. You've got some new things going on here at this event that's new, but building on top of what you guys did at the inaugural event. >> Yes, yes! So one of the new things that we added this year is called Camp Create, and the idea with it was, we wanted to have a builder track for our people that wanted to come and actually code the whole time that they were here. We put together a specific sort of experience for them. And it's not a hackathon, but it has hackathon elements. We started with six use cases that we outlined originally, gave them all the technology here on site, so they're actually using location services from the wireless network here. We've got collaboration equipment, we've got things from the Google partnership we brought in. And these six teams all picked a use case, and they're building furiously, and they're going to present their final demos tomorrow. One of the teams is even doing like an Oculus Rift kind of thing that'll be cool. >> That's great, so how much time do these folks have? >> So, they started this morning at 8, and they're finishing tomorrow at 3. >> So, will they stay up all night? >> They, many of them, are thinking to stay up all night. >> That's awesome. >> So let's just get this, the numbers, so Camp Create is six teams of five people, over six use cases? >> Six different use cases, >> Over two days. >> Two days, that's right. >> So they have to pick a use case, or they have to do all six? >> They are each picking, each team picks a use case. >> One use case. And codes away as a team. >> Yes. And they can, there is parameters in the use case, but there's also a lot of room for creativity to add to it. So we're interested to see how those come together. And we started, this is our first year. We had a waiting list of people who were wanting to get into Camp Create. So we plan to grow it next year, and we thought maybe have 12 teams on the six use cases, and then have the two teams face off on who has the best solution, so that could be fun. >> Camp Create madness. You got to do a qualifying round. >> Oh, yeah, a whole, yeah. >> You know, down the road, you'll have brackets. >> John's going to be a judge. >> That'd be great! >> I want to work with you on this, I love the idea. Camp Create, check it out. Congrats, I love the formula. >> Thank you. >> It creates competitiveness with collaboration, makes it fun, but that's part of your program here, fun, as well. >> That's right. We definitely want to have fun. So we wanted this DevNet Create to be a lot about community connections that form, and you generally have an easier time doing that when you're having fun. So a lot of hands on, a lot of time for community members to connect. >> Oh yeah, the Tech Talks are back, right? >> The Tech Talks are back. >> What's the topics this week in Tech Talks? >> So, we've got topics ranging from DevOps practices and patterns to IoT and blockchain and we have a lot even around developer experience and API experience, which I'm super excited about. And then we have all the hands-on workshops, where you can actually go and sit and code and get hands-on with many open source projects, with different platforms from our partners, all kinds of stuff. >> That's great. Yeah, there's also a big emphasis on the microservices and Kubernetes because of the Google partnership that we brought in this year. >> Is that weaved in to Istio stuff? >> Yes. >> Has that weaved in, and where has that kind of made its way into the workshops, mini-hacks and things you got going on? >> It's in pretty much all of them, so one of the things we've been excited about is our Istio sandbox. So our DevNet sandbox, where developers can try out all kinds of different platforms, we have an Istio one that's, it's set up and it has some rails on it, some use cases, so it's easy for people who, maybe, aren't familiar with Istio to really try it out. So we have some challenges here around that, and then definitely a lot of workshops that are covering different cloud native topics. >> Well, you guys do a great job. This is the second event. Last year was phenomenal. DevNet and the booth at Cisco Live in Barcelona was great. We'll be at Cisco Live in Orlando. What's it like now, internally at Cisco, because the Cisco Developer Program, I mean, I've watched it from the a kernel of a handful, one person, to two people to three people, and then, all of a sudden, internal politics says, "We're a routing company, we're a networking company," So now Cisco has evolved itself into a full-blown, almost a half a million, billion people, I mean half a million people, I'm thinking about Facebook scale, but half a million people, almost, in the DevNet community. >> Right. >> And you've got the Create, which is now the cloud native, how's it going, what's the team look like, what are you guys excited about? >> It's going great. The team has been growing, but growing thoughtfully and intentionally in how we want to grow it. The community has been amazing, because we really have been working hard to bring together these two audiences. Our networking and infrastructure developers, who are moving into DevOps, doing more automation, starting to use APIs, and then connecting them with the application developers, who work in the enterprise, and really working to get that conversation together and show, kind of, the value of Cisco to both of them. And we've seen growth in both, this conference, it's more about the application developers, and that is a big growing part of it. >> I got to say, I've seen a natural progression between network engineers, network developers with cloud, because anyone who's done any kind of configuration or provisioning of anything-- >> That's right. >> knows, can go to the cloud instantly. It's like, oh my God. And then you got containers, a concept that's well understood by network engineers, and they write software. So not a lot of learning, I mean, some learning language, but it's not a big leap. >> It's not a big leap, and it's such a technically proficient group of people anyway who are fast learners, and so it's definitely an easy way forward for them. And then, what we try to do is, our Edge Compute, for instance, that's deploy a docker container, so developers already know how to do that, it's using tools they're familiar with, so trying to connect that from both sides. >> It's like a fish taking to water, I mean, it's not that hard. Just jump right in. So, okay, now the cloud native really gets exciting when you talk about what Kubernetes is enabling. Because now you're a true DevOps world, where the people who don't want to touch the network at all still need to have some enablement where in that world, it's like, "Hey, I'm coding away on my apps, "that's all I care about. "I don't want to get down in the weeds under the hood "on provisioning stuff," or any kind of programmability. Where's that kick in? Where's that cross-connect? >> Yeah, so you definitely, for the groups that do want to work at that level, you want to enable that for sure, and get all the acceleration you can, and then, like our guest speaker from Google this morning said, he was like, HyperCloud is real, and it's also hard, and there's challenges, and so I think the Google partnership with Cisco and Cisco DevNet is to really work through those challenges, make it real and find the ways through those challenges. So we're trying to bring, again, kind of those two worlds together. >> Where are those connection points with the Google relationship? Is it Istio? Is it Kubernetes? >> Istio is part of it, Kubernetes, there's use cases for connecting on from, to cloud services, and then connecting cloud applications to on-prem things, so it's really about enabling all of those different use cases. >> And those best practices that these developers cross-environment need to actually deliver these applications to the cloud or pull them back on-prem. That's right, and how do they learn, maybe, the piece that they don't already know, whichever side of that equation they're coming from. So some of our DevNet audience, we started doing Containers 101. Like, if you don't know about containers, here's how you learn it. Get started with Istio, so connecting those dots. >> Well, Mandy, great to see you. Congratulations, Camp Create. >> Thank you, yeah! >> I want to get in, put a team together. >> Okay, we're doing the bracket year and all that. >> No, we do a whole qualifying. >> Yes, definitely! >> just Northern California, Southern California, >> Regional. >> and then bring the best of the best for a face-off cage match. >> Are you going to plan it? That's great. >> Yeah, of course, I'm in. >> You plan it next year. >> He can plan it, I'll judge. >> Awesome, perfect, thank you! >> I love anything to do with camping, but, appreciate it, thanks for coming on. >> Absolutely! >> Thank you. >> We're bringing you all the action here at DevNet Create here in Silicon Valley, Mountain View, California. Be right back with more after this short break. >> Mandy: Thanks so much!

Published Date : Apr 10 2018

SUMMARY :

Brought to you by Cisco. Great to have you back. Great job on the stage today. and the idea with it was, and they're finishing tomorrow at 3. each team picks a use case. One use case. on the six use cases, You got to do a qualifying round. You know, down the road, I want to work with you It creates competitiveness with collaboration, a lot of time for community members to connect. and we have a lot even around developer experience because of the Google partnership so one of the things we've been excited about DevNet and the booth at Cisco Live in Barcelona was great. and show, kind of, the value of Cisco to both of them. And then you got containers, so developers already know how to do that, It's like a fish taking to water, and get all the acceleration you can, all of those different use cases. maybe, the piece that they don't already know, Well, Mandy, great to see you. I want to get in, the bracket year and all that. and then bring the best of the best Are you going to plan it? I love anything to do with camping, all the action here at DevNet Create

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Becky Wanta, RSW1C Consulting - CloudNOW Awards 2017


 

(click) >> Hey, Lisa Martin on the ground with theCUBE at Google for the Sixth Annual CloudNOW Top Women in Cloud Awards Event, our second year covering this, very excited to be joined by tonight's emcee, Becky Wanta, the founder of RSW1C. Welcome to theCUBE. >> Thank you. >> It's great to have you here. So tell us a little bit about what you do and your background as a technology leader. >> So, I've been in technology for close to 40 years. I started out as a software. >> Sorry, I don't even, what? (laughing) >> Ha, ha, ha, it's a long time ago, yeah. So I started out as a developer back in the Department of Defense. So it wasn't rocket science in the early days when I began because it was back when computers took up whole rooms and I realized I had an affinity for that. So, I leveraged that, but then I got into, at that time, and I'm from northern California, if you remember right, the Department of Defense was drawing down. And so I decided I was going to leverage my experience in IT to get into either integrative financial services or healthcare, right. So I took over running all of tech for the Money Store at the time which you would have no idea who that is. And then that got acquired by Wells Fargo First Union, so I took over as their Global CTO for Wells Fargo. And what you'll see is, so let me just tell you about RSW1C because what it is is it's a technology consulting firm that's me. And the reason I have it is because tech changes so much that it's easy to stay current. And when I get brought into companies, and you'll look at me, so I've been the executive officer for tiny little companies like PepsiCo, Wells Fargo, Southwest Airlines. >> The small ones. >> Yeah, tiny, not really, MGM Resorts International, the largest worker's comp company in California, a company that, unborn midsize SMB in southern California that just wrapped up last year. And when I get brought into these companies, I get brought in to transform them. It's at a time in the maturation of these companies, these tiny little brands we've mentioned, where they're ready to jettison IT. So I take that very seriously because I know technology is that gateway to keep that competitive advantage. And the beauty is of that the companies I've mentioned, they're all number one in their markets. And when you're number one, there's only one direction to go, so they take that very seriously. >> How do you come in there and help an MGM Grand Resorts transform? >> So what happened in MGM's case and probably in the last five CIO positions that I've taken, they've met me as a consultant, again, from RSW1C. And then when I look into what needs to happen and I have the conversation, because everybody thinks they want to do digital transformation, and it's not an easy journey and if you don't have the executive sponsorship, don't even try it at home, right? And so, in MGM's case, they had been talking. MGM's the largest taxpayer in Nevada. People think about it as MGM Grand. It's 19 brands on The Strip. >> Is that right? >> It's Bellagio, MGM, so it's the largest taxpayer in Nevada. So it owns 44,860 rooms on The Strip. So if I just counted now, you have Circa Circa, Slots of Fun, Mirage, Bellagio, Monte Carlo, New York, New York, um, MGM Grand Las Vegas, MGM Grand Detroit. They're in the countries and so forth. So it's huge. And that includes Mandalay, ARIA, and all those, so it's huge, right? And so in MGM's case, they knew they wanted to do M life, so M life game changes their industry. And I put that in. This will be our nine year anniversary coming up on Valentine's Day. Thirty years they talked about it, and I put in with a great team And that was part of the transformation into a new way of running their business. >> Wow, we have a couple of minutes left. I'd love to get your perspective on being a female leader in tech. Who were your mentors back in the day? And who are your mentors now? >> So, I don't have any mentors. I never did. Because when I started in the industry, there wasn't a lot of women. And obviously, technology was fairly new which is why one of my passions is around helping the next generation be hugely successful. And one of the things that's important is in the space of tech, I like this mantra, this mantra that says, "How about brains "and beauty that gets you in the door? "How about having the confidence in yourself?" So I want to help a lot of the next generation be hugely successful. And that's what Jocelyn has built with CloudNow, her and Susan. And I'm a big proponent of this because I think it's a chance for us to give back and help the next generation of leaders in a non-traditional way be hugely successful in brands, in companies that are going to unleash their passion and show them how to do that. Because, the good news is that I'm a total bum, Lisa. I've never had a job. I love what I do, and I do it around the clock, so. >> Oh, if only more people could say that. That's so cool. But what we've seen with CloudNow, this is our second year covering it, I love talking to the winners and even the folks that are keynoting or helping to sponsor scholarships. There's so much opportunity. >> There really is. >> And it's so exciting when you can see someone whose life is changing as a result of finding a mentor or having enough conviction to say, "You know what? "I am interested in a STEM field. "I'm going to pursue that." >> Right. >> So, we thank you so much Becky for stopping by theCUBE. And your career is amazing. >> Thanks. >> And I'm sure you probably are mentors to countless, countless men and women out there. >> Absolutely. >> Well, thanks again for stopping by. >> Thank you, Lisa. >> Thank you for watching theCUBE. I'm Lisa Martin on the ground at Google with the CloudNow Sixth Annual Top Women in Cloud Awards Event. Stick around, we'll be right back.

Published Date : Dec 8 2017

SUMMARY :

Hey, Lisa Martin on the ground with theCUBE It's great to have you here. So, I've been in technology for close to 40 years. And the reason I have it is because tech changes so much And the beauty is of that the companies I've mentioned, And then when I look into what needs to happen And I put that in. And who are your mentors now? And one of the things that's important is and even the folks that are keynoting And it's so exciting when you can see someone And your career is amazing. And I'm sure you probably are mentors for stopping by. I'm Lisa Martin on the ground at Google

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Mary Min, SEWORKS | Samsung Developer Conference 2017


 

>> Announcer: Live, from San Francisco , it's The Cube. Covering Samsung Developer Conference 2017. Brought to you by Samsung. >> Okay we're back here live in San Francisco at Moscone West for exclusive coverage of Samsung Developer Conference on John Furrier, the co-founder of SiliconANGLE Media and the host of the cube here. Our next guest is Mary Min, Vice President of Global Business Development at SE Works Inc. Former entrepreneur, gamer, still entrepreneurial in her new world, but has seen the evolution of gaming. Here to talk about Augmented Reality, Virtual Reality, and kind of the trajectory of life in the digital era. Welcome to The Cube. >> Okay thank you. >> So we were just talking before we came on about the evolution of your career. You had a start-up, you sold it. It was a game. You been gaming since the late 90s and looking forward. What is the evolution of gaming and how it relates to Augmented Reality? Because there's a debate that goes on in the industry. Oh, VR is the next big thing, but yet it failed. Tim Cook recently came out and said hey, you know, don't get your hopes up. There's still more head room to do. Not necessarily a bad thing. Because now Augmented Reality is winning. You're seeing it in industrial IOT. You're seeing Augmented Reality. So what's your thoughts about how people should think about the evolution of this new wave of innovation. >> I think that with any new technology that's really life-changing for society as a whole, nothing ever gets done on the first iteration or the first phase. Things will never really take off on the first round especially when you're going mass consumer. Because people need time for learned behavior. People are creatures of habit. They like to stick what's familiar. And in order for them to move from one leap to the next, you need baby steps. And those baby steps unfortunately will include pioneers in whatever field, whether it be AR, or VR, that need to blaze the trail for their successors to come and start building on top of that as well. I read something really interesting this morning coming here where if you have someone who's trying to dig a well, and you need to dig 10 feet, the first person fails because they only dug the first foot. Second person, third person, subsequently until the ninth person, that well is not dug. But that 10th person is who successfully has the water filling the well. That 10th person could not have dug that final last foot if the first nine didn't go before him. And I consider that's really the phase that VR and AR honor as well. We needed that first iteration of VR in order to have the new generation of engineers, entrepreneurs, product people, mindset people, to start thinking about how to shape the future of this ecosystem. And we needed that to have it's course in order for AR to build on top of those learnings. And hopefully as we subsequently start to build on those as well, we don't view this as failures necessarily, but as necessary advancements in order to get to the ultimate goal of integrating more technology into our lives to make it a better life. >> And the relationship between the hardware platforms, whether it's console, PC, handset, or headset, and software, is interesting. And I want to talk about that with you. But first I want to tell you a story. Tell about your entrepreneur story. You were at UC-Berkeley Cal here, University of California - Berkeley, my daughter is a junior there, but... Great school, doing a lot of cutting-edge stuff there at Berkeley, and certainly not a lack of protests either these days. But, tell us the story. You dropped out and started a company. Tell the story. >> So I was attending Berkeley, and I'm very grateful that I was able to go to Cal. Particularly because I grew up in southern California where around the time that I grew up, there really wasn't a lot of start-ups or entrepreneurial minded people. And I came up here and became really immersed in tech and that was my first foray into it. And during college, I was working at a gaming company to help support myself through school. And just really fell in love with it. And decided that was truly what I wanted to do. My parents supported my decision, and so with their help and approval, I started building games. And I've been building games since, again, the mid-to-late 90s until now. Ran a couple of companies. Founded a few of them. And the latest one that I founded was a few years ago called Second-Wave Games. We had sold it to a larger company called World Golf Tour. And here I am now building tools for game developers actually. >> And what an evolution. You go back, I mean, the Nokia phones. You know, then the iPhone hit the scene. The smart phones. So everything in-between has been a balance of being creative with software and art, if you will gaming as art. What has changed? I mean obviously things fail, because it's a content business. Content is games. So there's always that symbiotic relationship between hardware and software. Who pushes who? Is it the yin and the yang? Or is it the good and the bad? What's going on between the relationship these days? Because we certainly see it on the enterprise side. Software at the end is driving infrastructure. What's the relationship from the content, from the artistry standpoint, and the handset. >> From our point, content makers are not very interested in any platform or hardware that doesn't have the distribution. But the hardware manufacturers need the content in order to push the distribution of hardware. So it becomes a chicken and the egg problem. And it really depends on the approach that people will take. The content distributors do not own the platform. They don't own the distribution of the actual devices that will run things. So it really kind of falls on the hardware manufacturers to decide what path they will go down. We will see more aggressive things like Microsoft when they first launched the Xbox for example. They took a heavy loss on every unit that they sold. But they were focused primarily on distribution. And then, they hit on this magic, very very like, really really run-away hit called Halo. You like Halo, you have to play on Xbox. It's not available on the other consoles. >> And Call of Duty right after it. >> Call of Duty right after it. >> The list is endless. >> So that becomes a really excellent example of how content drives adaptation of hardware. Because if you are huge fans of this title, you have to go to this hardware. And there is no other argument about it. >> It's interesting, the evolution of the internet, early adopters you saw as the adult industry. It was a leading indicator of the trends in online advertising. That's a big joke in the industry. Now, you are seeing the leading indicators in terms of cutting-edge pioneer blade trailers is gaming. Virtual communities, virtual currencies, the gaming culture you can almost use as a precursor to what you're seeing on the crypto side with blockchain. You can see on the Augmented Reality. That's a gamification of life where now the content is the real world. So that's super exciting for someone who has been in the gaming era. And software developers got to be sitting there licking their chops saying, hey I want to get in on this. >> So at my current company, SEWORKS, when we started developing our solution, we actually tested it first and foremost with gaming. With gaming apps above everything else. And people were a little puzzled thinking why would you test gaming above finance or healthcare or IOT? And our answer is because gaming is the most complex thing anyone can possibly make. It contains pretty much every single piece of technology that you could ever know. There are communications layers, there have the most sophisticated graphics layers, they have intense AI layers, they have intense algorithms, anything calculated, and it is in itself an inherit small economical ecosystem as well. So it is a very complex mini-world that you are building inside of the constraints of one application which then has to be very sophisticated in technology in order to run on our current set of hardware and devices. So it's the most challenging thing that we could build for and that's why we chose it. And I see the same thing happening. Gaming is life and life is games. Outside of solving your very basic human needs of shelter, food, and sleep, clothing. What's the immediate next thing that you want to do? People want to be entertained in some format or another. And games are really just almost like a primal urge in an instant. >> Yeah, and you said you're seeing the intersection of E-commerce, entertainment, and web services or cloud. Which you can bundle in IOT, all intersecting. And that's really what the real world is. Analog digital coming together is the consumerization of physical and digital. Which Samsung is putting out there. And this is the perfect beginning wave coming. Do you agree? >> I think so. As I was sitting through the keynote today, and I'm just reflecting on the future where I can watch TV and there's this beautiful scene of a local in northern California. Then I say, I want to go! And I jump in my car and the destination is magically loaded on my GPS in my very smart car, and it just takes me there. I don't have think about it. And on the way, they've already made reservations, right? It seems like a very seamless integration of everything if it's ideally done, and part of me, I think the security paranoia in me, is also a little afraid that too much information is going to be not necessarily a good thing in a lot of senses, because what we see, and what I've seen in almost 20 years of tech, is every time we rush to new technology, new platforms, new distribution, methodologies, people rush in and make the same mistakes over and over again. So I am a little afraid that with this era, it's going to be exactly the same. Where we see explosion of growth, we see explosion of content, people coming in with a gold rush, and then a few years later when thing are established, we're going to start to see the security leaks, the data leaks, the breaches. >> It's kind of like you don't know that smoking is bad for you until they realized people die of lung cancer. It's like data is the same thing. You don't know how much privacy you have given up. I mean look at Equifax. There's going to be more of those. So I think permission-less, permission-based data security, huge issue governing. That's big. >> It is, particularly because your average consumer is not very privacy sensitive. If I want to use something, I want to use something and asking me for permissions is just a hurdle that if I'm motivated enough to actually use a service, or use an app, I'm just going to keep brushing aside without really thinking about it. And alarmingly, the number of apps that we look at, the number of permissions that they ask, is kind of scary. >> Mary, great to have you on the cube. Great conversation. Great thought leadership. I'll give you the final word. What are you guys doing at SEWORKS? What are you up to after the event? What are some of the things you're working on? Get the plug in for your company. >> Yeah, so, what SEWORKS does is, we do tools for developers to help you alleviate your security needs when you're developing for mobile apps or for IOT or for connected, anything actually. If you're building on Android or iOS, we have a solution for you. We're essentially like your armory so we outfit you with an incredible shield that protects your application when it ships to the public. Against hacking and reverse engineering. >> So security as a service? >> We're security as a service. Just think of us as your on-call hackers, how's that? >> Great, your white hat shield for the apps, for mobile, mobile development is hot obviously. New user experiences and expectations are here. There's a big wave coming in, we're seeing on machine learning. You're seeing with AI. And certainly Augmented Reality and Virtual Reality. All powered by unlimited compute in the cloud. Mary Min, SEWORKS, The Cube, more live coverage here in San Francisco after the short break.

Published Date : Oct 19 2017

SUMMARY :

Brought to you by Samsung. and kind of the trajectory of life in the digital era. What is the evolution of gaming And I consider that's really the phase And the relationship between the hardware platforms, And the latest one that I founded Or is it the good and the bad? And it really depends on the approach that people will take. Because if you are huge fans of this title, the gaming culture you can almost use as a precursor And I see the same thing happening. is the consumerization of physical and digital. And I jump in my car and the destination It's like data is the same thing. And alarmingly, the number of apps that we look at, What are some of the things you're working on? so we outfit you with an incredible shield Just think of us as your on-call hackers, how's that? after the short break.

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John Walsh, Accenture | Accenture Lab's 30th Anniversary


 

>> Narrator: From the Computer History Museum in Mountain View, California, it's The CUBE. On the ground with Accenture Labs 30th Anniversary Celebration. (techy music) >> Hello everyone, welcome to the special CUBE coverage of Accenture Labs 30th years of celebration here at the Computer History Museum in Mountain View, California, the heart of Silicon Valley. I'm John Furrier with The CUBE. Our next guest is John Walsh who is the Northern California Office Managing Director as well as the General Manager of the P&L of Telecom, High Tech, and Media Entertainment. Three big P&Ls, plus running the whole territory. You got a big celebration here, thanks for joining me. >> Thanks for coming, John. It's great to have you. >> So first of all, Northern California, you got The Warriors in the backyard. I'm sure Accenture's got a box, schmoozing customers, you guys working with them at all? >> Well, ya know, it's funny you bring that up, John. We are working, we're pretty close with The Warriors as it turns out. As you know, The Warriors are building out their new stadium, right down at the Dogpatch in San Francisco, and so we've been working with them to really design the fan experience. Before, during, and after the game, what that experience is going to look like. Being here in Northern California, you can imagine that's going to be a very, very tech forward experience. Hopefully it's going to kind of define the state of the industry. We're proud to be a partner of The Warriors, and part of that design. >> What better topic to kind of, as a backdrop to the Labs, Accenture Labs, 30 years here, looking forward to the next 30 years. I mean, The Warriors are the poster child, kind of like The Patriots are in football, with respect to a culture, but they're innovative, tech geeks too. They understand how to use technology for an outcome, not trying to get an outcome out of their technology. They really understand that, and that's really kind of the ethos, of the Labs. >> I think that's exactly right, and obviously, ya know, we can talk about The Warriors as much as you want (John Furrier laughs) I'm a huge fan, but ya know, the way they've thought about actually changing the game through technology, and embedding it in part of the way they actually build that experience out, is one of the reasons why we partner well with them. Obviously, we'll leverage our Labs' capabilities and a lot of our Lab practitioners in order to actually co-innovate with The Warriors. I think all of us here in the Bay Area, are going to be able to appreciate that in the coming years. >> Well, when the NDAs are expired, or maybe even sooner, we'll have to come up to your office and get a deeper dive on The Warriors situation. >> Let's do a double click on that. >> It's worth a bigger feature. But here at the Labs and Computer History Museum, better place to kind of talk about where the industry's come from, where Accenture Labs has come from, and where it's going. So I got to ask you, Arthur Anderson back at a big six accounting firm 30 plus years ago, to Anderson Consulting to Accenture, really kind of was the ways of innovation that everyone talks about. Now, the next 30 years, we're looking down the throat of AI, blockchain, internet of things, using data at scale, cloud computing, quantum computing, really changing how companies are executing their business architecture, not just IT. >> For sure. >> I mean, it's a complete transformation, disruption. >> For sure. >> Well, I mean, Accenture, you went through the history. I actually joined Arthur Anderson, ya know, 30 some years ago. I think we've always prided ourselves on being on that leading edge, and sort of our objective was to actually incorporate those new technologies, apply them to our enterprise client base. Be able to do that, ya know kind of be there, and then be gone before our competitors get there. I think you'll see some of that tonight as we're sort of walking around the showcase here. You've heard this a hundred times, John. There's never been a better time to be in the tech world. To be able to actually look at the breadth of technology opportunity that's here. How to apply that to our global enterprise base to create advantage differentiation and change. Change is what drives our business model. >> Yeah, we were just talking with Mark, one of the Senior Directors of the Labs. Ya know, talking about accounting firms and those kinds of, way back in the day, they would instrument business. Now, as you guys are now in more, 30 years, plus years later, the instrumentation's all in the data. So literally, for the first time in the history of the world of business, you might not need accounting with blockchain, and everything's instrumented. So there's no more questions that can't be answered, some level! So this is going to be like a complete new generation. Next 30 years, pretty significant. Everything's instrumented, and all kind of disruptions around how a company organizes themselves. What is Accenture's vision? How do you guys talk to customers? Not only is it mind blowing, it also is fear. >> Yeah >> If I don't adapt and move on, I can't get there. >> Yeah, well I mean, and again that is, that's the nature of competition. That's always been the nature of technology. Right now, I think it's a combination of, the digital natives have been the ones that have kind of been pushing the envelope and putting pressure on every industry, every business model, and I think that they've been out in front. We're seeing, ya know, sort of our whole global client base adapt and respond and start to incorporate all of these, and re-engineer their processes with benefit of digital at every one of those layers. You mentioned it, analytics, sort of end data, is at the core of, I think, what will define success in the future for every enterprise, in every industry. That's really where we're spending our time with our customers. It's like, how do you take advantage of the data and the insight and the knowledge that you have, to run your business more efficiently and better serve customers? By empowering your employees to serve customers, and to allow customers to better serve themselves, with all these tools? >> We're here at the Computer History Museum, in your backyard, your territory, so you're obviously going to crash the party, but I find that really compelling, and rightfully so, to be in Silicon Valley. But the world's changing, and they're going to come up with the next 30 years, it's going to match your show here. So I got to ask you, someone who leads the business, who have been through the organization, how do you hire the next generation talent? You got to build out, you got to innovate. What's the profile, is there an algorithm? Is there a formula that you have as you build out and continue to scale out your people? Got the innovation DNA and the culture-- >> We do. >> We see that. We got the Labs pumping on all cylinders, we see that. What's the people strategy? Diversity's key, you're seeing more women coming into the workforce. Certainly in Silicon Valley, our territory, has been great news lately for women. >> Right. >> What are you guys doing? >> So, let me start last first, with the diversity comment. I think we've been pretty public in terms of communicating sort of, what the profile of our employee base looks like. All the statistics, top to bottom, from diversity, ethnic diversity and gender diversity. Our CEO has recently made a commitment to be at 50/50 gender diversity by 2025. I don't think there's any other company-- >> That's amazing-- >> of our size and scale, that's made that level of commitment >> That's a moon shot. That's a moon shot level, Mars shot, what do you want to call it. >> It's a moon shot, for sure, but the way we're looking at it, it's 50 percent of the IQ actually, ya know, is there, and we need to be able to be tapping into all of that. For those folks, they're in the marketplace, they're just not at Accenture, and we want to create an environment that actually brings all those folks in. Other than that, it's just, ya know, it's based-- >> More data scientists. >> More data scientists. >> More engineering. >> More engineers, more computer science, and more people that are good at problem solving, and naturally curious. We have a pretty rigorous recruiting process, and we also have a brand that I think, attracts talent. We build deep relationships with universities, which helps, kind of gives us early access. I was talking to a couple of our interns who are here tonight, like wow, this is awesome. That's always been the recipe for Accenture. >> What do you say to the young college grads that are graduating, undergraduate or Masters degree, man, I'm going to land a job at Accenture! It's a dream job at some level. What do you say to them? What do you look for? I'm looking for, fill in the blank. When you say, answer that question. >> For me, I'm looking for people that love problem solving, right. That are naturally curious. Working at Accenture's hard, right. So having that work ethic, that ability to be persistent. >> You got to be skilled, you got to be skilled. >> Well, you got to be skilled. You don't even get the interview if you don't have (John Furrier laughs) at least that much on your resume. But beyond that, ya know, it's how they interact. We're a client focused business as well, so having people that are actually able to to work as part of a team, and work with clients, is pretty critical. >> John, congratulations, and the event's starting. Thanks from all at the CUBE, we really appreciate it. John Walsh, who runs the California, Northern California Managing Director, as well as the P&L responsibility for Telecom, High Tech, and Media Entertainment. Here at the CUBE coverage of Accenture Labs 30 year celebration at the Computer History Museum. I'm John Furrier with the CUBE, thanks for watching. (techy music)

Published Date : Jul 19 2017

SUMMARY :

On the ground with Accenture Labs the General Manager of the P&L of It's great to have you. you got The Warriors in the backyard. Well, ya know, it's funny you bring that up, John. the ethos, of the Labs. and embedding it in part of the way they and get a deeper dive on The Warriors situation. But here at the Labs and Computer History Museum, the breadth of technology opportunity that's here. one of the Senior Directors of the Labs. and the insight and the knowledge that you have, You got to build out, you got to innovate. We got the Labs pumping on all cylinders, we see that. All the statistics, top to bottom, from diversity, what do you want to call it. of the IQ actually, ya know, is there, That's always been the recipe for Accenture. I'm looking for, fill in the blank. So having that work ethic, that ability to be persistent. You don't even get the interview if you don't have Here at the CUBE coverage of Accenture Labs

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AI for Good Panel - Precision Medicine - SXSW 2017 - #IntelAI - #theCUBE


 

>> Welcome to the Intel AI Lounge. Today, we're very excited to share with you the Precision Medicine panel discussion. I'll be moderating the session. My name is Kay Erin. I'm the general manager of Health and Life Sciences at Intel. And I'm excited to share with you these three panelists that we have here. First is John Madison. He is a chief information medical officer and he is part of Kaiser Permanente. We're very excited to have you here. Thank you, John. >> Thank you. >> We also have Naveen Rao. He is the VP and general manager for the Artificial Intelligence Solutions at Intel. He's also the former CEO of Nervana, which was acquired by Intel. And we also have Bob Rogers, who's the chief data scientist at our AI solutions group. So, why don't we get started with our questions. I'm going to ask each of the panelists to talk, introduce themselves, as well as talk about how they got started with AI. So why don't we start with John? >> Sure, so can you hear me okay in the back? Can you hear? Okay, cool. So, I am a recovering evolutionary biologist and a recovering physician and a recovering geek. And I implemented the health record system for the first and largest region of Kaiser Permanente. And it's pretty obvious that most of the useful data in a health record, in lies in free text. So I started up a natural language processing team to be able to mine free text about a dozen years ago. So we can do things with that that you can't otherwise get out of health information. I'll give you an example. I read an article online from the New England Journal of Medicine about four years ago that said over half of all people who have had their spleen taken out were not properly vaccinated for a common form of pneumonia, and when your spleen's missing, you must have that vaccine or you die a very sudden death with sepsis. In fact, our medical director in Northern California's father died of that exact same scenario. So, when I read the article, I went to my structured data analytics team and to my natural language processing team and said please show me everybody who has had their spleen taken out and hasn't been appropriately vaccinated and we ran through about 20 million records in about three hours with the NLP team, and it took about three weeks with a structured data analytics team. That sounds counterintuitive but it actually happened that way. And it's not a competition for time only. It's a competition for quality and sensitivity and specificity. So we were able to indentify all of our members who had their spleen taken out, who should've had a pneumococcal vaccine. We vaccinated them and there are a number of people alive today who otherwise would've died absent that capability. So people don't really commonly associate natural language processing with machine learning, but in fact, natural language processing relies heavily and is the first really, highly successful example of machine learning. So we've done dozens of similar projects, mining free text data in millions of records very efficiently, very effectively. But it really helped advance the quality of care and reduce the cost of care. It's a natural step forward to go into the world of personalized medicine with the arrival of a 100-dollar genome, which is actually what it costs today to do a full genome sequence. Microbiomics, that is the ecosystem of bacteria that are in every organ of the body actually. And we know now that there is a profound influence of what's in our gut and how we metabolize drugs, what diseases we get. You can tell in a five year old, whether or not they were born by a vaginal delivery or a C-section delivery by virtue of the bacteria in the gut five years later. So if you look at the complexity of the data that exists in the genome, in the microbiome, in the health record with free text and you look at all the other sources of data like this streaming data from my wearable monitor that I'm part of a research study on Precision Medicine out of Stanford, there is a vast amount of disparate data, not to mention all the imaging, that really can collectively produce much more useful information to advance our understanding of science, and to advance our understanding of every individual. And then we can do the mash up of a much broader range of science in health care with a much deeper sense of data from an individual and to do that with structured questions and structured data is very yesterday. The only way we're going to be able to disambiguate those data and be able to operate on those data in concert and generate real useful answers from the broad array of data types and the massive quantity of data, is to let loose machine learning on all of those data substrates. So my team is moving down that pathway and we're very excited about the future prospects for doing that. >> Yeah, great. I think that's actually some of the things I'm very excited about in the future with some of the technologies we're developing. My background, I started actually being fascinated with computation in biological forms when I was nine. Reading and watching sci-fi, I was kind of a big dork which I pretty much still am. I haven't really changed a whole lot. Just basically seeing that machines really aren't all that different from biological entities, right? We are biological machines and kind of understanding how a computer works and how we engineer those things and trying to pull together concepts that learn from biology into that has always been a fascination of mine. As an undergrad, I was in the EE, CS world. Even then, I did some research projects around that. I worked in the industry for about 10 years designing chips, microprocessors, various kinds of ASICs, and then actually went back to school, quit my job, got a Ph.D. in neuroscience, computational neuroscience, to specifically understand what's the state of the art. What do we really understand about the brain? And are there concepts that we can take and bring back? Inspiration's always been we want to... We watch birds fly around. We want to figure out how to make something that flies. We extract those principles, and then build a plane. Don't necessarily want to build a bird. And so Nervana's really was the combination of all those experiences, bringing it together. Trying to push computation in a new a direction. Now, as part of Intel, we can really add a lot of fuel to that fire. I'm super excited to be part of Intel in that the technologies that we were developing can really proliferate and be applied to health care, can be applied to Internet, can be applied to every facet of our lives. And some of the examples that John mentioned are extremely exciting right now and these are things we can do today. And the generality of these solutions are just really going to hit every part of health care. I mean from a personal viewpoint, my whole family are MDs. I'm sort of the black sheep of the family. I don't have an MD. And it's always been kind of funny to me that knowledge is concentrated in a few individuals. Like you have a rare tumor or something like that, you need the guy who knows how to read this MRI. Why? Why is it like that? Can't we encapsulate that knowledge into a computer or into an algorithm, and democratize it. And the reason we couldn't do it is we just didn't know how. And now we're really getting to a point where we know how to do that. And so I want that capability to go to everybody. It'll bring the cost of healthcare down. It'll make all of us healthier. That affects everything about our society. So that's really what's exciting about it to me. >> That's great. So, as you heard, I'm Bob Rogers. I'm chief data scientist for analytics and artificial intelligence solutions at Intel. My mission is to put powerful analytics in the hands of every decision maker and when I think about Precision Medicine, decision makers are not just doctors and surgeons and nurses, but they're also case managers and care coordinators and probably most of all, patients. So the mission is really to put powerful analytics and AI capabilities in the hands of everyone in health care. It's a very complex world and we need tools to help us navigate it. So my background, I started with a Ph.D. in physics and I was computer modeling stuff, falling into super massive black holes. And there's a lot of applications for that in the real world. No, I'm kidding. (laughter) >> John: There will be, I'm sure. Yeah, one of these days. Soon as we have time travel. Okay so, I actually, about 1991, I was working on my post doctoral research, and I heard about neural networks, these things that could compute the way the brain computes. And so, I started doing some research on that. I wrote some papers and actually, it was an interesting story. The problem that we solved that got me really excited about neural networks, which have become deep learning, my office mate would come in. He was this young guy who was about to go off to grad school. He'd come in every morning. "I hate my project." Finally, after two weeks, what's your project? What's the problem? It turns out he had to circle these little fuzzy spots on these images from a telescope. So they were looking for the interesting things in a sky survey, and he had to circle them and write down their coordinates all summer. Anyone want to volunteer to do that? No? Yeah, he was very unhappy. So we took the first two weeks of data that he created doing his work by hand, and we trained an artificial neural network to do his summer project and finished it in about eight hours of computing. (crowd laughs) And so he was like yeah, this is amazing. I'm so happy. And we wrote a paper. I was the first author of course, because I was the senior guy at age 24. And he was second author. His first paper ever. He was very, very excited. So we have to fast forward about 20 years. His name popped up on the Internet. And so it caught my attention. He had just won the Nobel Prize in physics. (laughter) So that's where artificial intelligence will get you. (laughter) So thanks Naveen. Fast forwarding, I also developed some time series forecasting capabilities that allowed me to create a hedge fund that I ran for 12 years. After that, I got into health care, which really is the center of my passion. Applying health care to figuring out how to get all the data from all those siloed sources, put it into the cloud in a secure way, and analyze it so you can actually understand those cases that John was just talking about. How do you know that that person had had a splenectomy and that they needed to get that pneumovax? You need to be able to search all the data, so we used AI, natural language processing, machine learning, to do that and then two years ago, I was lucky enough to join Intel and, in the intervening time, people like Naveen actually thawed the AI winter and we're really in a spring of amazing opportunities with AI, not just in health care but everywhere, but of course, the health care applications are incredibly life saving and empowering so, excited to be here on this stage with you guys. >> I just want to cue off of your comment about the role of physics in AI and health care. So the field of microbiomics that I referred to earlier, bacteria in our gut. There's more bacteria in our gut than there are cells in our body. There's 100 times more DNA in that bacteria than there is in the human genome. And we're now discovering a couple hundred species of bacteria a year that have never been identified under a microscope just by their DNA. So it turns out the person who really catapulted the study and the science of microbiomics forward was an astrophysicist who did his Ph.D. in Steven Hawking's lab on the collision of black holes and then subsequently, put the other team in a virtual reality, and he developed the first super computing center and so how did he get an interest in microbiomics? He has the capacity to do high performance computing and the kind of advanced analytics that are required to look at a 100 times the volume of 3.2 billion base pairs of the human genome that are represented in the bacteria in our gut, and that has unleashed the whole science of microbiomics, which is going to really turn a lot of our assumptions of health and health care upside down. >> That's great, I mean, that's really transformational. So a lot of data. So I just wanted to let the audience know that we want to make this an interactive session, so I'll be asking for questions in a little bit, but I will start off with one question so that you can think about it. So I wanted to ask you, it looks like you've been thinking a lot about AI over the years. And I wanted to understand, even though AI's just really starting in health care, what are some of the new trends or the changes that you've seen in the last few years that'll impact how AI's being used going forward? >> So I'll start off. There was a paper published by a guy by the name of Tegmark at Harvard last summer that, for the first time, explained why neural networks are efficient beyond any mathematical model we predict. And the title of the paper's fun. It's called Deep Learning Versus Cheap Learning. So there were two sort of punchlines of the paper. One is is that the reason that mathematics doesn't explain the efficiency of neural networks is because there's a higher order of mathematics called physics. And the physics of the underlying data structures determined how efficient you could mine those data using machine learning tools. Much more so than any mathematical modeling. And so the second thing that was a reel from that paper is that the substrate of the data that you're operating on and the natural physics of those data have inherent levels of complexity that determine whether or not a 12th layer of neural net will get you where you want to go really fast, because when you do the modeling, for those math geeks in the audience, a factorial. So if there's 12 layers, there's 12 factorial permutations of different ways you could sequence the learning through those data. When you have 140 layers of a neural net, it's a much, much, much bigger number of permutations and so you end up being hardware-bound. And so, what Max Tegmark basically said is you can determine whether to do deep learning or cheap learning based upon the underlying physics of the data substrates you're operating on and have a good insight into how to optimize your hardware and software approach to that problem. >> So another way to put that is that neural networks represent the world in the way the world is sort of built. >> Exactly. >> It's kind of hierarchical. It's funny because, sort of in retrospect, like oh yeah, that kind of makes sense. But when you're thinking about it mathematically, we're like well, anything... The way a neural can represent any mathematical function, therfore, it's fully general. And that's the way we used to look at it, right? So now we're saying, well actually decomposing the world into different types of features that are layered upon each other is actually a much more efficient, compact representation of the world, right? I think this is actually, precisely the point of kind of what you're getting at. What's really exciting now is that what we were doing before was sort of building these bespoke solutions for different kinds of data. NLP, natural language processing. There's a whole field, 25 plus years of people devoted to figuring out features, figuring out what structures make sense in this particular context. Those didn't carry over at all to computer vision. Didn't carry over at all to time series analysis. Now, with neural networks, we've seen it at Nervana, and now part of Intel, solving customers' problems. We apply a very similar set of techniques across all these different types of data domains and solve them. All data in the real world seems to be hierarchical. You can decompose it into this hierarchy. And it works really well. Our brains are actually general structures. As a neuroscientist, you can look at different parts of your brain and there are differences. Something that takes in visual information, versus auditory information is slightly different but they're much more similar than they are different. So there is something invariant, something very common between all of these different modalities and we're starting to learn that. And this is extremely exciting to me trying to understand the biological machine that is a computer, right? We're figurig it out, right? >> One of the really fun things that Ray Chrisfall likes to talk about is, and it falls in the genre of biomimmicry, and how we actually replicate biologic evolution in our technical solutions so if you look at, and we're beginning to understand more and more how real neural nets work in our cerebral cortex. And it's sort of a pyramid structure so that the first pass of a broad base of analytics, it gets constrained to the next pass, gets constrained to the next pass, which is how information is processed in the brain. So we're discovering increasingly that what we've been evolving towards, in term of architectures of neural nets, is approximating the architecture of the human cortex and the more we understand the human cortex, the more insight we get to how to optimize neural nets, so when you think about it, with millions of years of evolution of how the cortex is structured, it shouldn't be a surprise that the optimization protocols, if you will, in our genetic code are profoundly efficient in how they operate. So there's a real role for looking at biologic evolutionary solutions, vis a vis technical solutions, and there's a friend of mine who worked with who worked with George Church at Harvard and actually published a book on biomimmicry and they wrote the book completely in DNA so if all of you have your home DNA decoder, you can actually read the book on your DNA reader, just kidding. >> There's actually a start up I just saw in the-- >> Read-Write DNA, yeah. >> Actually it's a... He writes something. What was it? (response from crowd member) Yeah, they're basically encoding information in DNA as a storage medium. (laughter) The company, right? >> Yeah, that same friend of mine who coauthored that biomimmicry book in DNA also did the estimate of the density of information storage. So a cubic centimeter of DNA can store an hexabyte of data. I mean that's mind blowing. >> Naveen: Highly done soon. >> Yeah that's amazing. Also you hit upon a really important point there, that one of the things that's changed is... Well, there are two major things that have changed in my perception from let's say five to 10 years ago, when we were using machine learning. You could use data to train models and make predictions to understand complex phenomena. But they had limited utility and the challenge was that if I'm trying to build on these things, I had to do a lot of work up front. It was called feature engineering. I had to do a lot of work to figure out what are the key attributes of that data? What are the 10 or 20 or 100 pieces of information that I should pull out of the data to feed to the model, and then the model can turn it into a predictive machine. And so, what's really exciting about the new generation of machine learning technology, and particularly deep learning, is that it can actually learn from example data those features without you having to do any preprogramming. That's why Naveen is saying you can take the same sort of overall approach and apply it to a bunch of different problems. Because you're not having to fine tune those features. So at the end of the day, the two things that have changed to really enable this evolution is access to more data, and I'd be curious to hear from you where you're seeing data come from, what are the strategies around that. So access to data, and I'm talking millions of examples. So 10,000 examples most times isn't going to cut it. But millions of examples will do it. And then, the other piece is the computing capability to actually take millions of examples and optimize this algorithm in a single lifetime. I mean, back in '91, when I started, we literally would have thousands of examples and it would take overnight to run the thing. So now in the world of millions, and you're putting together all of these combinations, the computing has changed a lot. I know you've made some revolutionary advances in that. But I'm curious about the data. Where are you seeing interesting sources of data for analytics? >> So I do some work in the genomics space and there are more viable permutations of the human genome than there are people who have ever walked the face of the earth. And the polygenic determination of a phenotypic expression translation, what are genome does to us in our physical experience in health and disease is determined by many, many genes and the interaction of many, many genes and how they are up and down regulated. And the complexity of disambiguating which 27 genes are affecting your diabetes and how are they up and down regulated by different interventions is going to be different than his. It's going to be different than his. And we already know that there's four or five distinct genetic subtypes of type II diabetes. So physicians still think there's one disease called type II diabetes. There's actually at least four or five genetic variants that have been identified. And so, when you start thinking about disambiguating, particularly when we don't know what 95 percent of DNA does still, what actually is the underlining cause, it will require this massive capability of developing these feature vectors, sometimes intuiting it, if you will, from the data itself. And other times, taking what's known knowledge to develop some of those feature vectors, and be able to really understand the interaction of the genome and the microbiome and the phenotypic data. So the complexity is high and because the variation complexity is high, you do need these massive members. Now I'm going to make a very personal pitch here. So forgive me, but if any of you have any role in policy at all, let me tell you what's happening right now. The Genomic Information Nondiscrimination Act, so called GINA, written by a friend of mine, passed a number of years ago, says that no one can be discriminated against for health insurance based upon their genomic information. That's cool. That should allow all of you to feel comfortable donating your DNA to science right? Wrong. You are 100% unprotected from discrimination for life insurance, long term care and disability. And it's being practiced legally today and there's legislation in the House, in mark up right now to completely undermine the existing GINA legislation and say that whenever there's another applicable statute like HIPAA, that the GINA is irrelevant, that none of the fines and penalties are applicable at all. So we need a ton of data to be able to operate on. We will not be getting a ton of data to operate on until we have the kind of protection we need to tell people, you can trust us. You can give us your data, you will not be subject to discrimination. And that is not the case today. And it's being further undermined. So I want to make a plea to any of you that have any policy influence to go after that because we need this data to help the understanding of human health and disease and we're not going to get it when people look behind the curtain and see that discrimination is occurring today based upon genetic information. >> Well, I don't like the idea of being discriminated against based on my DNA. Especially given how little we actually know. There's so much complexity in how these things unfold in our own bodies, that I think anything that's being done is probably childishly immature and oversimplifying. So it's pretty rough. >> I guess the translation here is that we're all unique. It's not just a Disney movie. (laughter) We really are. And I think one of the strengths that I'm seeing, kind of going back to the original point, of these new techniques is it's going across different data types. It will actually allow us to learn more about the uniqueness of the individual. It's not going to be just from one data source. They were collecting data from many different modalities. We're collecting behavioral data from wearables. We're collecting things from scans, from blood tests, from genome, from many different sources. The ability to integrate those into a unified picture, that's the important thing that we're getting toward now. That's what I think is going to be super exciting here. Think about it, right. I can tell you to visual a coin, right? You can visualize a coin. Not only do you visualize it. You also know what it feels like. You know how heavy it is. You have a mental model of that from many different perspectives. And if I take away one of those senses, you can still identify the coin, right? If I tell you to put your hand in your pocket, and pick out a coin, you probably can do that with 100% reliability. And that's because we have this generalized capability to build a model of something in the world. And that's what we need to do for individuals is actually take all these different data sources and come up with a model for an individual and you can actually then say what drug works best on this. What treatment works best on this? It's going to get better with time. It's not going to be perfect, because this is what a doctor does, right? A doctor who's very experienced, you're a practicing physician right? Back me up here. That's what you're doing. You basically have some categories. You're taking information from the patient when you talk with them, and you're building a mental model. And you apply what you know can work on that patient, right? >> I don't have clinic hours anymore, but I do take care of many friends and family. (laughter) >> You used to, you used to. >> I practiced for many years before I became a full-time geek. >> I thought you were a recovering geek. >> I am. (laughter) I do more policy now. >> He's off the wagon. >> I just want to take a moment and see if there's anyone from the audience who would like to ask, oh. Go ahead. >> We've got a mic here, hang on one second. >> I have tons and tons of questions. (crosstalk) Yes, so first of all, the microbiome and the genome are really complex. You already hit about that. Yet most of the studies we do are small scale and we have difficulty repeating them from study to study. How are we going to reconcile all that and what are some of the technical hurdles to get to the vision that you want? >> So primarily, it's been the cost of sequencing. Up until a year ago, it's $1000, true cost. Now it's $100, true cost. And so that barrier is going to enable fairly pervasive testing. It's not a real competitive market becaue there's one sequencer that is way ahead of everybody else. So the price is not $100 yet. The cost is below $100. So as soon as there's competition to drive the cost down, and hopefully, as soon as we all have the protection we need against discrimination, as I mentioned earlier, then we will have large enough sample sizes. And so, it is our expectation that we will be able to pool data from local sources. I chair the e-health work group at the Global Alliance for Genomics and Health which is working on this very issue. And rather than pooling all the data into a single, common repository, the strategy, and we're developing our five-year plan in a month in London, but the goal is to have a federation of essentially credentialed data enclaves. That's a formal method. HHS already does that so you can get credentialed to search all the data that Medicare has on people that's been deidentified according to HIPPA. So we want to provide the same kind of service with appropriate consent, at an international scale. And there's a lot of nations that are talking very much about data nationality so that you can't export data. So this approach of a federated model to get at data from all the countries is important. The other thing is a block-chain technology is going to be very profoundly useful in this context. So David Haussler of UC Santa Cruz is right now working on a protocol using an open block-chain, public ledger, where you can put out. So for any typical cancer, you may have a half dozen, what are called sematic variance. Cancer is a genetic disease so what has mutated to cause it to behave like a cancer? And if we look at those biologically active sematic variants, publish them on a block chain that's public, so there's not enough data there to reidentify the patient. But if I'm a physician treating a woman with breast cancer, rather than say what's the protocol for treating a 50-year-old woman with this cell type of cancer, I can say show me all the people in the world who have had this cancer at the age of 50, wit these exact six sematic variants. Find the 200 people worldwide with that. Ask them for consent through a secondary mechanism to donate everything about their medical record, pool that information of the core of 200 that exactly resembles the one sitting in front of me, and find out, of the 200 ways they were treated, what got the best results. And so, that's the kind of future where a distributed, federated architecture will allow us to query and obtain a very, very relevant cohort, so we can basically be treating patients like mine, sitting right in front of me. Same thing applies for establishing research cohorts. There's some very exciting stuff at the convergence of big data analytics, machine learning, and block chaining. >> And this is an area that I'm really excited about and I think we're excited about generally at Intel. They actually have something called the Collaborative Cancer Cloud, which is this kind of federated model. We have three different academic research centers. Each of them has a very sizable and valuable collection of genomic data with phenotypic annotations. So you know, pancreatic cancer, colon cancer, et cetera, and we've actually built a secure computing architecture that can allow a person who's given the right permissions by those organizations to ask a specific question of specific data without ever sharing the data. So the idea is my data's really important to me. It's valuable. I want us to be able to do a study that gets the number from the 20 pancreatic cancer patients in my cohort, up to the 80 that we have in the whole group. But I can't do that if I'm going to just spill my data all over the world. And there are HIPAA and compliance reasons for that. There are business reasons for that. So what we've built at Intel is this platform that allows you to do different kinds of queries on this genetic data. And reach out to these different sources without sharing it. And then, the work that I'm really involved in right now and that I'm extremely excited about... This also touches on something that both of you said is it's not sufficient to just get the genome sequences. You also have to have the phenotypic data. You have to know what cancer they've had. You have to know that they've been treated with this drug and they've survived for three months or that they had this side effect. That clinical data also needs to be put together. It's owned by other organizations, right? Other hospitals. So the broader generalization of the Collaborative Cancer Cloud is something we call the data exchange. And it's a misnomer in a sense that we're not actually exchanging data. We're doing analytics on aggregated data sets without sharing it. But it really opens up a world where we can have huge populations and big enough amounts of data to actually train these models and draw the thread in. Of course, that really then hits home for the techniques that Nervana is bringing to the table, and of course-- >> Stanford's one of your academic medical centers? >> Not for that Collaborative Cancer Cloud. >> The reason I mentioned Standford is because the reason I'm wearing this FitBit is because I'm a research subject at Mike Snyder's, the chair of genetics at Stanford, IPOP, intrapersonal omics profile. So I was fully sequenced five years ago and I get four full microbiomes. My gut, my mouth, my nose, my ears. Every three months and I've done that for four years now. And about a pint of blood. And so, to your question of the density of data, so a lot of the problem with applying these techniques to health care data is that it's basically a sparse matrix and there's a lot of discontinuities in what you can find and operate on. So what Mike is doing with the IPOP study is much the same as you described. Creating a highly dense longitudinal set of data that will help us mitigate the sparse matrix problem. (low volume response from audience member) Pardon me. >> What's that? (low volume response) (laughter) >> Right, okay. >> John: Lost the school sample. That's got to be a new one I've heard now. >> Okay, well, thank you so much. That was a great question. So I'm going to repeat this and ask if there's another question. You want to go ahead? >> Hi, thanks. So I'm a journalist and I report a lot on these neural networks, a system that's beter at reading mammograms than your human radiologists. Or a system that's better at predicting which patients in the ICU will get sepsis. These sort of fascinating academic studies that I don't really see being translated very quickly into actual hospitals or clinical practice. Seems like a lot of the problems are regulatory, or liability, or human factors, but how do you get past that and really make this stuff practical? >> I think there's a few things that we can do there and I think the proof points of the technology are really important to start with in this specific space. In other places, sometimes, you can start with other things. But here, there's a real confidence problem when it comes to health care, and for good reason. We have doctors trained for many, many years. School and then residencies and other kinds of training. Because we are really, really conservative with health care. So we need to make sure that technology's well beyond just the paper, right? These papers are proof points. They get people interested. They even fuel entire grant cycles sometimes. And that's what we need to happen. It's just an inherent problem, its' going to take a while. To get those things to a point where it's like well, I really do trust what this is saying. And I really think it's okay to now start integrating that into our standard of care. I think that's where you're seeing it. It's frustrating for all of us, believe me. I mean, like I said, I think personally one of the biggest things, I want to have an impact. Like when I go to my grave, is that we used machine learning to improve health care. We really do feel that way. But it's just not something we can do very quickly and as a business person, I don't actually look at those use cases right away because I know the cycle is just going to be longer. >> So to your point, the FDA, for about four years now, has understood that the process that has been given to them by their board of directors, otherwise known as Congress, is broken. And so they've been very actively seeking new models of regulation and what's really forcing their hand is regulation of devices and software because, in many cases, there are black box aspects of that and there's a black box aspect to machine learning. Historically, Intel and others are making inroads into providing some sort of traceability and transparency into what happens in that black box rather than say, overall we get better results but once in a while we kill somebody. Right? So there is progress being made on that front. And there's a concept that I like to use. Everyone knows Ray Kurzweil's book The Singularity Is Near? Well, I like to think that diadarity is near. And the diadarity is where you have human transparency into what goes on in the black box and so maybe Bob, you want to speak a little bit about... You mentioned that, in a prior discussion, that there's some work going on at Intel there. >> Yeah, absolutely. So we're working with a number of groups to really build tools that allow us... In fact Naveen probably can talk in even more detail than I can, but there are tools that allow us to actually interrogate machine learning and deep learning systems to understand, not only how they respond to a wide variety of situations but also where are there biases? I mean, one of the things that's shocking is that if you look at the clinical studies that our drug safety rules are based on, 50 year old white guys are the peak of that distribution, which I don't see any problem with that, but some of you out there might not like that if you're taking a drug. So yeah, we want to understand what are the biases in the data, right? And so, there's some new technologies. There's actually some very interesting data-generative technologies. And this is something I'm also curious what Naveen has to say about, that you can generate from small sets of observed data, much broader sets of varied data that help probe and fill in your training for some of these systems that are very data dependent. So that takes us to a place where we're going to start to see deep learning systems generating data to train other deep learning systems. And they start to sort of go back and forth and you start to have some very nice ways to, at least, expose the weakness of these underlying technologies. >> And that feeds back to your question about regulatory oversight of this. And there's the fascinating, but little known origin of why very few women are in clinical studies. Thalidomide causes birth defects. So rather than say pregnant women can't be enrolled in drug trials, they said any woman who is at risk of getting pregnant cannot be enrolled. So there was actually a scientific meritorious argument back in the day when they really didn't know what was going to happen post-thalidomide. So it turns out that the adverse, unintended consequence of that decision was we don't have data on women and we know in certain drugs, like Xanax, that the metabolism is so much slower, that the typical dosing of Xanax is women should be less than half of that for men. And a lot of women have had very serious adverse effects by virtue of the fact that they weren't studied. So the point I want to illustrate with that is that regulatory cycles... So people have known for a long time that was like a bad way of doing regulations. It should be changed. It's only recently getting changed in any meaningful way. So regulatory cycles and legislative cycles are incredibly slow. The rate of exponential growth in technology is exponential. And so there's impedance mismatch between the cycle time for regulation cycle time for innovation. And what we need to do... I'm working with the FDA. I've done four workshops with them on this very issue. Is that they recognize that they need to completely revitalize their process. They're very interested in doing it. They're not resisting it. People think, oh, they're bad, the FDA, they're resisting. Trust me, there's nobody on the planet who wants to revise these review processes more than the FDA itself. And so they're looking at models and what I recommended is global cloud sourcing and the FDA could shift from a regulatory role to one of doing two things, assuring the people who do their reviews are competent, and assuring that their conflicts of interest are managed, because if you don't have a conflict of interest in this very interconnected space, you probably don't know enough to be a reviewer. So there has to be a way to manage the conflict of interest and I think those are some of the keypoints that the FDA is wrestling with because there's type one and type two errors. If you underregulate, you end up with another thalidomide and people born without fingers. If you overregulate, you prevent life saving drugs from coming to market. So striking that balance across all these different technologies is extraordinarily difficult. If it were easy, the FDA would've done it four years ago. It's very complicated. >> Jumping on that question, so all three of you are in some ways entrepreneurs, right? Within your organization or started companies. And I think it would be good to talk a little bit about the business opportunity here, where there's a huge ecosystem in health care, different segments, biotech, pharma, insurance payers, etc. Where do you see is the ripe opportunity or industry, ready to really take this on and to make AI the competitive advantage. >> Well, the last question also included why aren't you using the result of the sepsis detection? We do. There were six or seven published ways of doing it. We did our own data, looked at it, we found a way that was superior to all the published methods and we apply that today, so we are actually using that technology to change clinical outcomes. As far as where the opportunities are... So it's interesting. Because if you look at what's going to be here in three years, we're not going to be using those big data analytics models for sepsis that we are deploying today, because we're just going to be getting a tiny aliquot of blood, looking for the DNA or RNA of any potential infection and we won't have to infer that there's a bacterial infection from all these other ancillary, secondary phenomenon. We'll see if the DNA's in the blood. So things are changing so fast that the opportunities that people need to look for are what are generalizable and sustainable kind of wins that are going to lead to a revenue cycle that are justified, a venture capital world investing. So there's a lot of interesting opportunities in the space. But I think some of the biggest opportunities relate to what Bob has talked about in bringing many different disparate data sources together and really looking for things that are not comprehensible in the human brain or in traditional analytic models. >> I think we also got to look a little bit beyond direct care. We're talking about policy and how we set up standards, these kinds of things. That's one area. That's going to drive innovation forward. I completely agree with that. Direct care is one piece. How do we scale out many of the knowledge kinds of things that are embedded into one person's head and get them out to the world, democratize that. Then there's also development. The underlying technology's of medicine, right? Pharmaceuticals. The traditional way that pharmaceuticals is developed is actually kind of funny, right? A lot of it was started just by chance. Penicillin, a very famous story right? It's not that different today unfortunately, right? It's conceptually very similar. Now we've got more science behind it. We talk about domains and interactions, these kinds of things but fundamentally, the problem is what we in computer science called NP hard, it's too difficult to model. You can't solve it analytically. And this is true for all these kinds of natural sorts of problems by the way. And so there's a whole field around this, molecular dynamics and modeling these sorts of things, that are actually being driven forward by these AI techniques. Because it turns out, our brain doesn't do magic. It actually doesn't solve these problems. It approximates them very well. And experience allows you to approximate them better and better. Actually, it goes a little bit to what you were saying before. It's like simulations and forming your own networks and training off each other. There are these emerging dynamics. You can simulate steps of physics. And you come up with a system that's much too complicated to ever solve. Three pool balls on a table is one such system. It seems pretty simple. You know how to model that, but it actual turns out you can't predict where a balls going to be once you inject some energy into that table. So something that simple is already too complex. So neural network techniques actually allow us to start making those tractable. These NP hard problems. And things like molecular dynamics and actually understanding how different medications and genetics will interact with each other is something we're seeing today. And so I think there's a huge opportunity there. We've actually worked with customers in this space. And I'm seeing it. Like Rosch is acquiring a few different companies in space. They really want to drive it forward, using big data to drive drug development. It's kind of counterintuitive. I never would've thought it had I not seen it myself. >> And there's a big related challenge. Because in personalized medicine, there's smaller and smaller cohorts of people who will benefit from a drug that still takes two billion dollars on average to develop. That is unsustainable. So there's an economic imperative of overcoming the cost and the cycle time for drug development. >> I want to take a go at this question a little bit differently, thinking about not so much where are the industry segments that can benefit from AI, but what are the kinds of applications that I think are most impactful. So if this is what a skilled surgeon needs to know at a particular time to care properly for a patient, this is where most, this area here, is where most surgeons are. They are close to the maximum knowledge and ability to assimilate as they can be. So it's possible to build complex AI that can pick up on that one little thing and move them up to here. But it's not a gigantic accelerator, amplifier of their capability. But think about other actors in health care. I mentioned a couple of them earlier. Who do you think the least trained actor in health care is? >> John: Patients. >> Yes, the patients. The patients are really very poorly trained, including me. I'm abysmal at figuring out who to call and where to go. >> Naveen: You know as much the doctor right? (laughing) >> Yeah, that's right. >> My doctor friends always hate that. Know your diagnosis, right? >> Yeah, Dr. Google knows. So the opportunities that I see that are really, really exciting are when you take an AI agent, like sometimes I like to call it contextually intelligent agent, or a CIA, and apply it to a problem where a patient has a complex future ahead of them that they need help navigating. And you use the AI to help them work through. Post operative. You've got PT. You've got drugs. You've got to be looking for side effects. An agent can actually help you navigate. It's like your own personal GPS for health care. So it's giving you the inforamation that you need about you for your care. That's my definition of Precision Medicine. And it can include genomics, of course. But it's much bigger. It's that broader picture and I think that a sort of agent way of thinking about things and filling in the gaps where there's less training and more opportunity, is very exciting. >> Great start up idea right there by the way. >> Oh yes, right. We'll meet you all out back for the next start up. >> I had a conversation with the head of the American Association of Medical Specialties just a couple of days ago. And what she was saying, and I'm aware of this phenomenon, but all of the medical specialists are saying, you're killing us with these stupid board recertification trivia tests that you're giving us. So if you're a cardiologist, you have to remember something that happens in one in 10 million people, right? And they're saying that irrelevant anymore, because we've got advanced decision support coming. We have these kinds of analytics coming. Precisely what you're saying. So it's human augmentation of decision support that is coming at blazing speed towards health care. So in that context, it's much more important that you have a basic foundation, you know how to think, you know how to learn, and you know where to look. So we're going to be human-augmented learning systems much more so than in the past. And so the whole recertification process is being revised right now. (inaudible audience member speaking) Speak up, yeah. (person speaking) >> What makes it fathomable is that you can-- (audience member interjects inaudibly) >> Sure. She was saying that our brain is really complex and large and even our brains don't know how our brains work, so... are there ways to-- >> What hope do we have kind of thing? (laughter) >> It's a metaphysical question. >> It circles all the way down, exactly. It's a great quote. I mean basically, you can decompose every system. Every complicated system can be decomposed into simpler, emergent properties. You lose something perhaps with each of those, but you get enough to actually understand most of the behavior. And that's really how we understand the world. And that's what we've learned in the last few years what neural network techniques can allow us to do. And that's why our brain can understand our brain. (laughing) >> Yeah, I'd recommend reading Chris Farley's last book because he addresses that issue in there very elegantly. >> Yeah we're seeing some really interesting technologies emerging right now where neural network systems are actually connecting other neural network systems in networks. You can see some very compelling behavior because one of the things I like to distinguish AI versus traditional analytics is we used to have question-answering systems. I used to query a database and create a report to find out how many widgets I sold. Then I started using regression or machine learning to classify complex situations from this is one of these and that's one of those. And then as we've moved more recently, we've got these AI-like capabilities like being able to recognize that there's a kitty in the photograph. But if you think about it, if I were to show you a photograph that happened to have a cat in it, and I said, what's the answer, you'd look at me like, what are you talking about? I have to know the question. So where we're cresting with these connected sets of neural systems, and with AI in general, is that the systems are starting to be able to, from the context, understand what the question is. Why would I be asking about this picture? I'm a marketing guy, and I'm curious about what Legos are in the thing or what kind of cat it is. So it's being able to ask a question, and then take these question-answering systems, and actually apply them so that's this ability to understand context and ask questions that we're starting to see emerge from these more complex hierarchical neural systems. >> There's a person dying to ask a question. >> Sorry. You have hit on several different topics that all coalesce together. You mentioned personalized models. You mentioned AI agents that could help you as you're going through a transitionary period. You mentioned data sources, especially across long time periods. Who today has access to enough data to make meaningful progress on that, not just when you're dealing with an issue, but day-to-day improvement of your life and your health? >> Go ahead, great question. >> That was a great question. And I don't think we have a good answer to it. (laughter) I'm sure John does. Well, I think every large healthcare organization and various healthcare consortiums are working very hard to achieve that goal. The problem remains in creating semantic interoperatability. So I spent a lot of my career working on semantic interoperatability. And the problem is that if you don't have well-defined, or self-defined data, and if you don't have well-defined and documented metadata, and you start operating on it, it's real easy to reach false conclusions and I can give you a classic example. It's well known, with hundreds of studies looking at when you give an antibiotic before surgery and how effective it is in preventing a post-op infection. Simple question, right? So most of the literature done prosectively was done in institutions where they had small sample sizes. So if you pool that, you get a little bit more noise, but you get a more confirming answer. What was done at a very large, not my own, but a very large institution... I won't name them for obvious reasons, but they pooled lots of data from lots of different hospitals, where the data definitions and the metadata were different. Two examples. When did they indicate the antibiotic was given? Was it when it was ordered, dispensed from the pharmacy, delivered to the floor, brought to the bedside, put in the IV, or the IV starts flowing? Different hospitals used a different metric of when it started. When did surgery occur? When they were wheeled into the OR, when they were prepped and drapped, when the first incision occurred? All different. And they concluded quite dramatically that it didn't matter when you gave the pre-op antibiotic and whether or not you get a post-op infection. And everybody who was intimate with the prior studies just completely ignored and discounted that study. It was wrong. And it was wrong because of the lack of commonality and the normalization of data definitions and metadata definitions. So because of that, this problem is much more challenging than you would think. If it were so easy as to put all these data together and operate on it, normalize and operate on it, we would've done that a long time ago. It's... Semantic interoperatability remains a big problem and we have a lot of heavy lifting ahead of us. I'm working with the Global Alliance, for example, of Genomics and Health. There's like 30 different major ontologies for how you represent genetic information. And different institutions are using different ones in different ways in different versions over different periods of time. That's a mess. >> Our all those issues applicable when you're talking about a personalized data set versus a population? >> Well, so N of 1 studies and single-subject research is an emerging field of statistics. So there's some really interesting new models like step wedge analytics for doing that on small sample sizes, recruiting people asynchronously. There's single-subject research statistics. You compare yourself with yourself at a different point in time, in a different context. So there are emerging statistics to do that and as long as you use the same sensor, you won't have a problem. But people are changing their remote sensors and you're getting different data. It's measured in different ways with different sensors at different normalization and different calibration. So yes. It even persists in the N of 1 environment. >> Yeah, you have to get started with a large N that you can apply to the N of 1. I'm actually going to attack your question from a different perspective. So who has the data? The millions of examples to train a deep learning system from scratch. It's a very limited set right now. Technology such as the Collaborative Cancer Cloud and The Data Exchange are definitely impacting that and creating larger and larger sets of critical mass. And again, not withstanding the very challenging semantic interoperability questions. But there's another opportunity Kay asked about what's changed recently. One of the things that's changed in deep learning is that we now have modules that have been trained on massive data sets that are actually very smart as certain kinds of problems. So, for instance, you can go online and find deep learning systems that actually can recognize, better than humans, whether there's a cat, dog, motorcycle, house, in a photograph. >> From Intel, open source. >> Yes, from Intel, open source. So here's what happens next. Because most of that deep learning system is very expressive. That combinatorial mixture of features that Naveen was talking about, when you have all these layers, there's a lot of features there. They're actually very general to images, not just finding cats, dogs, trees. So what happens is you can do something called transfer learning, where you take a small or modest data set and actually reoptimize it for your specific problem very, very quickly. And so we're starting to see a place where you can... On one end of the spectrum, we're getting access to the computing capabilities and the data to build these incredibly expressive deep learning systems. And over here on the right, we're able to start using those deep learning systems to solve custom versions of problems. Just last weekend or two weekends ago, in 20 minutes, I was able to take one of those general systems and create one that could recognize all different kinds of flowers. Very subtle distinctions, that I would never be able to know on my own. But I happen to be able to get the data set and literally, it took 20 minutes and I have this vision system that I could now use for a specific problem. I think that's incredibly profound and I think we're going to see this spectrum of wherever you are in your ability to get data and to define problems and to put hardware in place to see really neat customizations and a proliferation of applications of this kind of technology. >> So one other trend I think, I'm very hopeful about it... So this is a hard problem clearly, right? I mean, getting data together, formatting it from many different sources, it's one of these things that's probably never going to happen perfectly. But one trend I think that is extremely hopeful to me is the fact that the cost of gathering data has precipitously dropped. Building that thing is almost free these days. I can write software and put it on 100 million cell phones in an instance. You couldn't do that five years ago even right? And so, the amount of information we can gain from a cell phone today has gone up. We have more sensors. We're bringing online more sensors. People have Apple Watches and they're sending blood data back to the phone, so once we can actually start gathering more data and do it cheaper and cheaper, it actually doesn't matter where the data is. I can write my own app. I can gather that data and I can start driving the correct inferences or useful inferences back to you. So that is a positive trend I think here and personally, I think that's how we're going to solve it, is by gathering from that many different sources cheaply. >> Hi, my name is Pete. I've very much enjoyed the conversation so far but I was hoping perhaps to bring a little bit more focus into Precision Medicine and ask two questions. Number one, how have you applied the AI technologies as you're emerging so rapidly to your natural language processing? I'm particularly interested in, if you look at things like Amazon Echo or Siri, or the other voice recognition systems that are based on AI, they've just become incredibly accurate and I'm interested in specifics about how I might use technology like that in medicine. So where would I find a medical nomenclature and perhaps some reference to a back end that works that way? And the second thing is, what specifically is Intel doing, or making available? You mentioned some open source stuff on cats and dogs and stuff but I'm the doc, so I'm looking at the medical side of that. What are you guys providing that would allow us who are kind of geeks on the software side, as well as being docs, to experiment a little bit more thoroughly with AI technology? Google has a free AI toolkit. Several other people have come out with free AI toolkits in order to accelerate that. There's special hardware now with graphics, and different processors, hitting amazing speeds. And so I was wondering, where do I go in Intel to find some of those tools and perhaps learn a bit about the fantastic work that you guys are already doing at Kaiser? >> Let me take that first part and then we'll be able to talk about the MD part. So in terms of technology, this is what's extremely exciting now about what Intel is focusing on. We're providing those pieces. So you can actually assemble and build the application. How you build that application specific for MDs and the use cases is up to you or the one who's filling out the application. But we're going to power that technology for multiple perspectives. So Intel is already the main force behind The Data Center, right? Cloud computing, all this is already Intel. We're making that extremely amenable to AI and setting the standard for AI in the future, so we can do that from a number of different mechanisms. For somebody who wants to develop an application quickly, we have hosted solutions. Intel Nervana is kind of the brand for these kinds of things. Hosted solutions will get you going very quickly. Once you get to a certain level of scale, where costs start making more sense, things can be bought on premise. We're supplying that. We're also supplying software that makes that transition essentially free. Then taking those solutions that you develop in the cloud, or develop in The Data Center, and actually deploying them on device. You want to write something on your smartphone or PC or whatever. We're actually providing those hooks as well, so we want to make it very easy for developers to take these pieces and actually build solutions out of them quickly so you probably don't even care what hardware it's running on. You're like here's my data set, this is what I want to do. Train it, make it work. Go fast. Make my developers efficient. That's all you care about, right? And that's what we're doing. We're taking it from that point at how do we best do that? We're going to provide those technologies. In the next couple of years, there's going to be a lot of new stuff coming from Intel. >> Do you want to talk about AI Academy as well? >> Yeah, that's a great segway there. In addition to this, we have an entire set of tutorials and other online resources and things we're going to be bringing into the academic world for people to get going quickly. So that's not just enabling them on our tools, but also just general concepts. What is a neural network? How does it work? How does it train? All of these things are available now and we've made a nice, digestible class format that you can actually go and play with. >> Let me give a couple of quick answers in addition to the great answers already. So you're asking why can't we use medical terminology and do what Alexa does? Well, no, you may not be aware of this, but Andrew Ian, who was the AI guy at Google, who was recruited by Google, they have a medical chat bot in China today. I don't speak Chinese. I haven't been able to use it yet. There are two similar initiatives in this country that I know of. There's probably a dozen more in stealth mode. But Lumiata and Health Cap are doing chat bots for health care today, using medical terminology. You have the compound problem of semantic normalization within language, compounded by a cross language. I've done a lot of work with an international organization called Snowmed, which translates medical terminology. So you're aware of that. We can talk offline if you want, because I'm pretty deep into the semantic space. >> Go google Intel Nervana and you'll see all the websites there. It's intel.com/ai or nervanasys.com. >> Okay, great. Well this has been fantastic. I want to, first of all, thank all the people here for coming and asking great questions. I also want to thank our fantastic panelists today. (applause) >> Thanks, everyone. >> Thank you. >> And lastly, I just want to share one bit of information. We will have more discussions on AI next Tuesday at 9:30 AM. Diane Bryant, who is our general manager of Data Centers Group will be here to do a keynote. So I hope you all get to join that. Thanks for coming. (applause) (light electronic music)

Published Date : Mar 12 2017

SUMMARY :

And I'm excited to share with you He is the VP and general manager for the And it's pretty obvious that most of the useful data in that the technologies that we were developing So the mission is really to put and analyze it so you can actually understand So the field of microbiomics that I referred to earlier, so that you can think about it. is that the substrate of the data that you're operating on neural networks represent the world in the way And that's the way we used to look at it, right? and the more we understand the human cortex, What was it? also did the estimate of the density of information storage. and I'd be curious to hear from you And that is not the case today. Well, I don't like the idea of being discriminated against and you can actually then say what drug works best on this. I don't have clinic hours anymore, but I do take care of I practiced for many years I do more policy now. I just want to take a moment and see Yet most of the studies we do are small scale And so that barrier is going to enable So the idea is my data's really important to me. is much the same as you described. That's got to be a new one I've heard now. So I'm going to repeat this and ask Seems like a lot of the problems are regulatory, because I know the cycle is just going to be longer. And the diadarity is where you have and deep learning systems to understand, And that feeds back to your question about regulatory and to make AI the competitive advantage. that the opportunities that people need to look for to what you were saying before. of overcoming the cost and the cycle time and ability to assimilate Yes, the patients. Know your diagnosis, right? and filling in the gaps where there's less training We'll meet you all out back for the next start up. And so the whole recertification process is being are there ways to-- most of the behavior. because he addresses that issue in there is that the systems are starting to be able to, You mentioned AI agents that could help you So most of the literature done prosectively So there are emerging statistics to do that that you can apply to the N of 1. and the data to build these And so, the amount of information we can gain And the second thing is, what specifically is Intel doing, and the use cases is up to you that you can actually go and play with. You have the compound problem of semantic normalization all the websites there. I also want to thank our fantastic panelists today. So I hope you all get to join that.

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Andreas S Weigend, PhD | Data Privacy Day 2017


 

>> Hey welcome back everybody, Jeff Frick here with theCUBE we're at the data privacy day at Twitter's world headquarters in downtown San Fransciso and we're really excited to get into it with our next guest Dr. Andreas Weigend, he is now at the Social Data Lab, used to be at Amazon, recently published author. Welcome. >> Good to be here, morning. >> Absolutely, so give us a little about what is Social Data Lab for people who aren't that familiar with it and what are you doing over at Berkeley? >> Alright, so let's start with what is social data? Social data is a data people create and share whether they know it or not and what that means is Twitter is explicit but also a geo location or maybe even just having photos about you. I was in Russia all day during the election day in the United States with Putin, and I have to say that people now share on Facebook what the KGB wouldn't have gotten out of them under torture. >> So did you ever see the Saturday Night Live sketch where they had a congressional hearing and the guy the CIA guy says, Facebook is the most successful project that we've ever launched, people tell us where they are who they're with and what they're going to do, share pictures, location, it's a pretty interesting sketch. >> Only be taught by Black Mirror, some of these episodes are absolutely amazing. >> People can't even watch is it what I have not seen I have to see but they're like that's just too crazy. Too real, too close to home. >> Yeah, so what was the question? >> So let's talk about your new book. >> Oh that was social data. >> Yeah social data >> Yeah, and so I call it actually social data revolution. Because if you think back, 10, 20 years ago we absolutely we doesn't mean just you and me, it means a billion people. They think about who they are, differently from 20 years ago, think Facebook as you mentioned. How we buy things, we buy things based on social data we buy things based on what other people say. Not on what some marketing department says. And even you know, the way we think about information I mean could you do a day without Google? >> No >> No. >> Could you go an hour without Google? >> An hour, yes, when I sleep. But some people actually they Google in their sleep. >> Well and they have their health tracker turned on while they sleep to tell them if they slept well. >> I actually find this super interesting. How dependent I am to know in the morning when I wake up before I can push a smiley face or the okay face or the frowny face, to first see how did I sleep? And if the cycles were nice up and down, then it must have been a good night. >> So it's interesting because the concept from all of these kind of biometric feedback loops is if you have the data, you can change your behavior based on the data, but on the other hand there is so much data and do we really change our behaivor based on the data? >> I think the question is a different one. The question is alright, we have all this data but how can we make sure that this data is used for us, not against us. Within a few hundred meters of here there's a company where employees were asked to wear a fit bit or tracking devices which retain more generally. And then one morning one employee came in after you know not having had an exactly solid night of sleep shall we say and his boss said I'm sorry but I just looked at your fit bit you know this is an important meeting, we can't have you at that meeting. Sorry about that. >> True story? >> Yeah >> Now that's interesting. So I think the fit bit angle is interesting when that is a requirement to have company issued health insurance and they see you've been sitting on your couch too much. Now how does that then run into the HIPPA regulations. >> You know, they have dog walkers here. I'm not sure where you live in San Francisco. But in the area many people have dogs. And I know that a couple of my neighbors they give when the dog walker comes to take the dog, they also give their phone to the dog walker so now it looks like they are taking regular walks and they're waiting for the discount from health insurance. >> Yeah, it's interesting. Works great for the person that does walk or gives their phone to the dog walker. But what about the person that doesn't, what about the person that doesn't stop at stop signs. What happens in a world on business models based on aggregated risk pooling when you can segment the individual? >> That is a very very very biased question. It's a question of fairness. So if we know everything about everybody what would it mean to be fair? As you said, insurance is built on pooling risk and that means by nature that there are things that we don't know about people. So maybe, we should propose lbotomy data lobotomy. So people actually have some part chopped off out of the data chopped off. So now we can pool again. >> Interesting >> Of course not, the answer is that we as society should come up with ways of coming up with objective functions, how do we weigh the person you know taking a walk and then it's easy to agree on the function then get the data and rank whatever insurance premium whatever you're talking about here rank that accordingly. So I really think it's a really important concept which actually goes back to my time at Amazon. Where we came up with fitness functions as we call it. And it takes a lot of work to have probably spent 50 hours on that with me going through groups and groups and groups figuring out, what do we want the fitness function to be like? You have to have the buy in of the groups you know it they just think you know that is some random management thing imposed on us, it's not going to happen. But if they understand that's the output they're managing for, then not bad. >> So I want to follow up on the Amazon piece because we're big fans of Jeff Hamilton and Jeff Bezzos who we go to AWS and it's interesting excuse me, James Hamilton when he talks about the resources that EWS can bring to bear around privacy and security and networking and all this massive infrastructure being built in terms of being able to protect privacy once you're in the quote un-quote public cloud versus people trying to execute that at the individual company level and you know RSA is in a couple of weeks the amount of crazy scary stuff that is coming in for people that want interviews around some of this crazy security stuff. When you look at kind of public cloud versus private cloud and privacy you know supported by a big heavy infrastructure like what EWS has versus a Joe Blow company you know trying to implement them themselves, how do you see that challenge. I mean I don't know how the person can compete with having the resourses again the aggregated resources pool that James Hamilton has to bring to barrel this problem. >> So I think we really need to distinguish two things. Which is security versus privacy. So for security there's no question in my mind that Joe Blow, with this little PC has not a chance against our Chinese or Russian friends. Is no question for me that Amazon or Google have way better security teams than anybody else can afford. Because it is really their bread and butter. And if there's a breach on that level then I think it is terrible for them. Just think about the Sony breach on a much smaller scale. That's a very different point from the point of privacy. And from the point about companies deliberately giving the data about you for targeting purposes for instance. And targeting purposes to other companies So I think for the cloud there I trust, I trust Google, I trust Amazon that they are doing hopefully a better job than the Russian hackers. I am more interested in the discussion on the value of data. Over the privacy discussion after all this is the world privacy day and there the question is what do people understand as the trade off they have, what they give in order to get something. People have talked about Google having this impossible irresistible value proposition that for all of those little data you get for instance I took Google Maps to get here, of course Google needs to know where I am to tell me to turn left at the intersection. And of course Google has to know where I want to be going. And Google knows that a bunch of other people are going there today, and you probably figure out that something interesting is happening here. >> Right >> And so those are the interesting questions from me. What do we do with data? What is the value of data? >> But A I don't really think people understand the amount of data that they're giving over and B I really don't think that they understand I mean now maybe they're starting to understand the value because of the value of companies like Google and Facebook that have the data. But do you see a shifting in A the awareness, and I think it's even worse with younger kids who just have lived on their mobile phones since the day they were conscious practically these days. Or will there be a value to >> Or will they even mobile before they were born? Children now come pre-loaded, because the parents take pictures of their children before they are born >> That's true. And you're right and the sonogram et cetera. But and then how has mobile changed this whole conversation because when I was on Facebook on my PC at home very different set of information than when it's connected to all the sensors in my mobile phone when Facebook is on my mobile phone really changes where I am how fast I'm moving, who I'm in proximity to it completely changed the privacy game. >> Yes so geo location and the ACLU here in Northern California chapter has a very good quote on that. "Geo location is really extremely powerful variable" Now what was the question? >> How has this whole privacy thing changed now with the proliferation of the mobile, and the other thing I would say, when you have kids that grew up with mobile and sharing on the young ones don't use Facebook anymore, Instagram, Snap Chat just kind of the notion of sharing and privacy relative to folks that you know wouldn't even give their credit card over the telephone not that long ago, much less type it into a keyboard, um do they really know the value do they really understand the value do they really get the implications when that's the world in which they've lived in. Most of them, you know they're just starting to enter the work force and haven't really felt the implications of that. >> So for me the value of data is how much the data impacts a decision. So for the side of the individual, if I have data about the restaurant, and that makes me decide whether to go there or to not go there. That is having an impact on my decision thus the data is valuable. For a company a decision whether to show me this offer or that offer that is how data is valued from the company. So that kind of should be quantified The value of the picture of my dog when I was a child. That is you know so valuable, I'm not talking about this. I'm very sort of rational here in terms of value of data as the impact is has on decisions. >> Do you see companies giving back more of that value to the providers of that data? Instead of you know just simple access to useful applications but obviously the value exceeds the value of the application they're giving you. >> So you use the term giving back and before you talked about kids giving up data. So I don't think that it is quite the right metaphor. So I know that metaphor come from the physical world. That sometimes has been data is in your oil and that indeed is a good metaphor when it comes to it needs to be refined to have value. But there are other elements where data is very different from oil and that is that I don't really give up data when I share and the company doesn't really give something back to me but it is much interesting exchange like a refinery that I put things in and now I get something not necessarily back I typically get something which is very different from what I gave because it has been combined with the data of a billion other people. And that is where the value lies, that my data gets combined with other peoples data in some cases it's impossible to actually take it out it's like a drop of ink, a drop in the ocean and it spreads out and you cannot say, oh I want my ink back. No, it's too late for that. But it's now spread out and that is a metaphor I think I have for data. So people say, you know I want to be in control of my data. I often think they don't have deep enough thought of what they mean by that. I want to change the conversation of people saying You what can I get by giving you the data? How can you help me make better decisions? How can I be empowered by the data which you are grabbing or which you are listening to that I produce. That is a conversation which I want to ask here at the Privacy Day. >> And that's happening with like Google Maps obviously you're exchanging the information, you're walking down the street, you're headed here they're telling you that there's a Starbucks on the corner if you want to pick up a coffee on the way. So that is already kind of happening right and that's why obviously Google has been so successful. Because they're giving you enough and you're giving them more and you get in this kind of virtuous cycle in terms of the information flow but clearly they're getting a lot more value than you are in terms of their you know based on their market capitalization you know, it's a very valuable thing in the aggregation. So it's almost like a one plus one makes three >> Yes. >> On their side. >> Yes, but it's a one trick pony ultimately. All of the money we make is rats. >> Right, right that's true. But in-- >> It's a good one to point out-- >> But then it begs the question too when we no longer ask but are just delivered that information. >> Yes, I have a friend Gam Dias and he runs a company called First Retail, and he makes the point that there will be no search anymore in a couple of years from now. What are you talking about? I search every day, but is it. Yes. But You know, you will get the things before you even think about it and with Google now a few years ago when other things, I think he is quite right. >> We're starting to see that, right where the cards come to you with a guess as to-- >> And it's not so complicated If let's see you go to the symphony you know, my phone knows that I'm at the symphony even if I turn it off, it know where I turned it off. And it knows when the symphony ends because there are like a thousand other people, so why not get Ubers, Lyfts closer there and amaze people by wow, your car is there already. You know that is always a joke what we have in Germany. In Germany we have a joke that says, Hey go for vacation in Poland your car is there already. But maybe I shouldn't tell those jokes. >> Let's talk about your book. So you've got a new book that came out >> Yeah >> Just recently released, it's called Data for the People. What's in it what should people expect, what motivated you to write the book? >> Well, I'm actually excited yesterday I got my first free copies not from the publisher and not from Amazon. Because they are going by the embargo by which is out next week. But Barnes and Noble-- >> They broke the embargo-- Barnes and Noble. Breaking news >> But three years of work and basically it is about trying to get people to embrace the data they create and to be empowered by the data they create. Lots of stories from companies I've worked with Lots of stories also from China, I have a house in China I spend a month or two months there every year for the last 15 years and the Chinese ecosystem is quite different from the US ecosystem and you of course know that the EU regulations are quite different from the US regulations. So, I wrote on what I think is interesting and I'm looking forward to actually rereading it because they told me I should reread it before I talk about it. >> Because when did you submit it? You probably submitted it-- >> Half a year >> Half a year ago, so yeah. Yeah. So it's available at Barnes and Noble and now Amazon >> It is available. I mean if you order it now, you'll get it by Monday. >> Alright, well Dr. Andreas Weigin thanks for taking a few minutes, we could go forever and ever but I think we've got to let you go back to the rest of the sessions. >> Thank you for having me. >> Alright, pleasure Jeff Frick, you're watching theCUBE see you next time.

Published Date : Jan 28 2017

SUMMARY :

Dr. Andreas Weigend, he is now at the Social Data Lab, day in the United States with Putin, So did you ever see the Saturday Night Live sketch Only be taught by Black Mirror, some of these episodes I have to see but they're like that's just too crazy. And even you know, the way we think about information But some people actually they Google in their sleep. Well and they have their health tracker turned on or the frowny face, to first see how did I sleep? an important meeting, we can't have you at that meeting. So I think the fit bit angle is interesting And I know that a couple of my neighbors they give aggregated risk pooling when you can segment the individual? As you said, insurance is built on pooling risk it they just think you know that is some random at the individual company level and you know RSA is the data about you for targeting purposes for instance. What is the value of data? because of the value of companies like Google and it completely changed the privacy game. Yes so geo location and the ACLU here in that you know wouldn't even give their credit card over the So for me the value of data is how much the data Instead of you know just simple access to How can I be empowered by the data which you are Because they're giving you enough and you're giving All of the money we make is rats. But in-- But then it begs the question too when You know, you will get the things before you even you know, my phone knows that I'm at the symphony So you've got a new book that came out what motivated you to write the book? free copies not from the publisher and not from Amazon. They broke the embargo-- and you of course know that the EU regulations are So it's available at Barnes and Noble and now Amazon I mean if you order it now, you'll get it by Monday. I think we've got to let you go back to the rest Jeff Frick, you're watching theCUBE see you next time.

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