(upbeat music) >> Hey everyone, welcome to theCUBE's special program series Women of the Cloud, brought to you by AWS. I'm your host, Lisa Martin. Very pleased to welcome Angie Perez Thomas the area sales leader from AWS as my next guest. Angie, welcome to theCUBE. It's great to have you here. >> I'm super excited. Thank you so much, Lisa. >> Of course. Talk to me a little bit about you a little bit about your role in sales at AWS. >> Yeah, absolutely. So I'm a tenure Amazonian so I've been with AWS for about 10 years here. And as you mentioned, I'm the area sales leader and so my team supports new enterprise customers and executives who are just starting their journey into the cloud. >> Talk a little bit about some of your career paths. Did you have a linear path? You said tenure Amazonian, linear path maybe more Zig-zaggy. I'd love to get some of your recommendations for those who may be early in their tech careers looking to grow their careers. What are some of the experiences that you've had that you think are have shaped your career? >> Yeah, absolutely. So, you know, mine have, I've gone back and forth through different roles, both in leadership and as an IC and I'd probably say I've got three recommendations for those looking to grow their career in technology. So the first one is prioritize your time to actually think about what career experiences you want in in your fullness of your career. And so this actually may look like sitting down reserving time to actually deep think about what are those experiences you're looking to gain but also doing research on other careers of those who may inspire you and kind of collecting those ideas. My second recommendation is around documenting, writing down those career aspirations and actually putting it within and memorializing it within a document. So I've applied Amazon's working backwards methodology myself and applied that on my career and writing my own career press release. And so it's dated in 2029. It's got a headline and you know, it's a physical document of my own career aspirations. And third, I recommend sharing this documentation with others. You know, I really enjoy receiving and reading what others are wanting to do with their career aspirations and helping provide feedback and guidance. And so what we find is people genuinely want to help others. >> I agree. I love your recommendations for really being mindful, being thoughtful about what it is that you want to do doing that research, and then actually documenting it. I think it's so wonderful that you're taking Amazon's working backward approach from the press release going this is where I want to be in five years or in 10 years. And then putting that on paper. I still connect a lot with things like you that you put down on paper that you want to accomplish or something about writing it down that actually helps to you bring it to fruition. And then to your point is great about sharing it with others that can be mentors, that can be sponsors. I'm sure you've had some great mentors and sponsors along your career path that have probably helped you pretty successful. >> Yeah, absolutely. It's been really an effective tool for communicating with those who have helped me navigate as well. >> Talk a little bit about some of the successes now we'll switch gears but we'll continue on the success train. Some of the successes that you've had helping organizations really navigate, migrate to the cloud and and become successful businesses as a result. >> Yeah, no, absolutely. So across my tenure at AWS, you know I've truly enjoyed working with our customer executives and helping them deliver on their business outcomes. And so just recently I met with the COO of a real estate firm here in the Pacific Northwest and the COO has an initiative to identify and modify home titles and deeds with decades old discriminatory language and restrictions. So, although not invisible, due to the Fair Housing Act of 1968, racial covenants they're still present in millions of home titles across the United States today. And so partnering with AWS and using our cloud technology, you know, our teams together were able to build an application that was able to where homeowners are able to look up their titles you know, analyze it for discriminatory language and be able to submit it for modification. And so this, you know, today it can be done manually, but partnering with AWS, our teams were able to address modifying titles and deeds at scale. And so it's truly incredible what cloud computing has enabled just all of us to accomplish together. And so I kind of think of it like this our a catalyst for change is our customers and AWS and our partners is the how to accelerate that change. So it's really this partnership >> I love that accelerating change is so important across so many aspects of life, but the example that you gave is so, it's such an interesting use case. I wouldn't think that there is discriminatory language in deeds for houses, but the fact that it's probably a pervasive problem globally and the ability to help organizations to be able to change that for the better with cloud, with automation at scale is huge. I can imagine that's a use case that can be replicated surely across the states and more. >> Yeah, it's definitely gained interest across with different real estate forms across the United States. So we're really excited to be partnering and having impact on this change. >> And it's also an example of tech for good. I mean, we talk about that all the time but the fact that there's discriminatory language and housing deeds is still kind of blows my mind. But and we've seen so much in tech in terms of diversity and equity and inclusion but from a diversity perspective there's still a lot more to do. I'd love to get your opinion on what you think some of the the present day challenges are with respect to diversity in tech and maybe some of the things you think can be changed to for the better. >> Yeah, so you know, there's been a huge focus on, you know hiring for diverse talent in the tech industry for a number of years. And where I think we as an industry have an opportunity is to improve in investing and developing in this diverse talent and try to really think about how are we building up the skillsets to build today's and tomorrow's leaders. And so when I think about this it requires senior leaders to be really intentional about building a diverse ecosystem of talent and investing in this diverse talent. And let me clarify a little bit when I talk about investing in diverse talent, you know, this expands outside of just mentoring. This includes sponsoring, coaching, really providing opportunities where this talent has the ability to have a seat at the table. Getting into the room where it all happens. And so by doing so we're helping this talent build their skillsets to learn what questions are being asked within, the room? How are others communicating with each other? So that they can build the skillset so not only have a seat at the table but can be really leading with that seat at the table. And I would say last, we as companies we tend to or you know, we in the industry, we tend to just focus on developing those within our companies. And where I see a need is to really challenge the industry to reach outside of our own companies in diverse talent. And so developing just that ecosystem because not just thinking about the roles that are open today but really building the skillsets for the roles and and senior level positions that are going to be open tomorrow and making sure we're developing this talent to raise their hand and be the leading candidate for those opportunities. >> I love how you said kind of really a couple things that you know, with all the women in this program that I've spoken to is a common theme in terms of diversity and it's really about senior leaders making investments. And another thing that you said that's spot on is doing it with intention. There's so much to be gained by having an intention with diversity, thought diversity. To your point, going outside, it sounds to me like kind of let's go outside of our comfort zones to bring in different thoughts, different perspectives be able to grow them in their career because of course technologies and products and solutions can only get better the more diversity of thought we have. >> Yeah, no, absolutely. It's really being intentional. We as senior leaders, we have a law on our plate. And so yes this is an additional thing to be thinking about but it really has impact and change in driving the right things both for our customers and for the industry as well. And so it's an investment that's worth making. >> And speaking of that investment worth making I liked how you said, let's have some forethought about what are some of the roles that are going to be there in the future. How are some of the roles today going to be evolving? How do you see your role evolving in the next few years? How do you see cloud evolving and what excites you about that? >> Yeah, well, cloud has really been helping our customers move faster and adapt to just the ever changing landscape. I mean it's over the last couple years it's been very real for all of us to see. And so my role has moved from just being an advisor to a CIO to actually being an advisor to both the CEO and board of directors and when they come speak to us, cost or cloud is not just about cost savings, it truly is about helping a CEO deliver on their business outcomes. So I'll give an example. We're working with a growing community bank and their executive team has embarked on a transformation to becoming a digital first bank. And so when we think about the economic factors that they're working with them to come to mind. The first, their move towards online banking has it's accelerated with the pandemic really creating that customer experience of which when you think about local banks, you think about community where everybody knows your name over in the brick and mortar down the road. Well they have to bridge that community and trust into the digital world. And second, they needed to improve on operational efficiencies. And so they have to strategically think about what investments they're going to make to balance inflation while driving growth. And so where I've been finding both myself and my teams is having a seat at the table with these executives, helping them make these strategic business decisions. And we know we're successful when our customers are able to deliver on those business outcomes. They meet those objectives, they exceed those objectives. And then we know we've just exceeded customer expectation when our partnership actually shows up in their next earnings call. You know, it's really special. >> Oh, I bet it is. I mean, being able to be that influential in terms of an organization's success I love how you talked about kind of a career evolution that your career has evolved from now you're really with the board of directors having a seat at the table there. My last question for you is kind of on that front Angie is what are some of the changes in in the tech workforce that you've seen the last few years and what are some of the things that you're excited about that are down the road? >> Yeah, so a couple things where I've really seen change and evolution has been in the leadership level. We are needing to lead with empathy and really think about inclusion as a cornerstone skillset. So for our customers, our partners, our employees we've really moved into this hybrid environment. We're both leaders and team norms. We're challenged to change. We have to adapt. And so really having inclusion as that foundational skillset is a requirement for both today and tomorrow's leaders. What I'm really excited about is on the innovation front. Anyone can innovate now, you don't need to be a part of the R&D division of a company. We're seeing that cloud is providing tools all the way down to the elementary student level. So when you think about that, just think the imagination of our youth, brought to life with cloud technology. I mean, the future really is bright. >> It is. That horizon is endless. And I'm going to take some of your advice, Angie I loved that you talked about from your own perspective and your recommendations for the audience. Write that down, write your own press release in terms of what you want to see down the road. I'm going to take your advice, I'm going to do that. I thank you so much for joining me on the program. You've been so inspiring. Your career path has been impressive. What you're seeing in terms of innovation and cloud coming next is incredibly exciting. Thank you so much for your time, Angie. >> Thank you Lisa. >> For Angie Perez Thomas. I'm Lisa Martin. You're watching theCUBE's special program series Women of the Cloud, brought to you by AWS. We'll see you soon. (upbeat music)

(bright upbeat music) >> Welcome to The Cube. We're here for the AWS Executive Summit part of Reinvent 2021. I'm John Farrow, your host of the Cube. We've got a great segment focus here, Art of the Possible is the segment. Jas Bains, Chief Executive at Hafod and Jamie Smith, director of research and innovation and Laetitia Cailleteau who's the global lead of conversational AI at Accenture. Thanks for joining me today for this Art of the Possible segment. >> Thank you. >> So tell us a little bit about Hafod and what you guys are doing to the community 'cause this is a really compelling story of how technology in home care is kind of changing the game and putting a stake in the ground. >> Yeah, so Hafod is one of the largest not for profits in Wales. We employ about 1400 colleagues. We have three strands a service, which practices on key demographics. So people who are vulnerable and socioeconomically disadvantaged. Our three core strands of service are affordable housing, we provide several thousand homes to people in housing need across Wales. We also are an extensive provider of social provision, both residential and in the community. And then we have a third tier, which is a hybrid in between. So that supports people who are not quite ready for independent living but neither are they ready for residential care. So that's a supportive provision. I suppose what one of the things that marks Hafod out and why we're here in this conversation is that we're uniquely placed as one of the organizations that actually has a research and innovation capacity. And it's the work of the research and innovation capacity led by Jamie that brought about this collaboration with Accenture which is great in great meaning and benefits. So thousands of our customers and hopefully universal application as it develops. >> You know this is a really an interesting discussion because multiple levels, one, the pandemic accelerated this needs so, I want to get comments on that. But two, if you look at the future of work and work and home life, you seeing the convergence of where people live. And I think this idea of having this independent home and the ecosystem around it, there's a societal impact as well. So what brought this opportunity together? How did this come together with Accenture and AWS? >> We're going for Jamie and Laetitia. >> Yeah, I can start. Well, we were trying to apply for the LC Aging Grand Challenge in the U.K., so the United Kingdom recognized the need for change around independent living and run a grand challenge. And then we got together as part of this grand challenge. You know, we had some technology, we had trialed with AGK before and Hanover Housing Association. Hafod was really keen to actually start trying some of that technology with some of the resident. And we also worked with Swansea University, was doing a lot of work around social isolation and loneliness. And we came together to kind of pitch for the grand challenge. And we went quite far actually, unfortunately we didn't win but we have built such a great collaboration that we couldn't really let it be, you know, not going any further. And we decided to continue to invest in this idea. And now we here, probably 18 months on with a number of people, Hafod using the technology and a number of feedbacks and returns coming back and us having a grand ambitions to actually go much broader and scale this solution. >> Jas and Jamie, I'd love to get your reaction and commentary on this trend of tech for good because I mean, I'm sure you didn't wake up, oh, just want to do some tech for good. You guys have an environment, you have an opportunity, you have challenges you're going to turn into opportunities. But if you look at the global landscape right now, things that are jumping out at us are looking at the impact of social media on people. You got the pandemic with isolation, this is a first order problem in this new world of how do we get technology to change how people feel and make them better in their lives. >> Yeah, I think for us, the first has to be a problem to solve. There's got to be a question to be answered. And for us, that was in this instance, how do we mitigate loneliness and how do we take services that rely on person to person contact and not particularly scalable and replicate those through technology somehow. And even if we can do 10% of the job of that in-person service then for us, it's worth it because that is scalable. And there are lots of small interventions we can make using technology which is really efficient way for us to support people in the community when we just can't be everywhere at once. >> So, John, just to add, I think that we have about 1500 people living in households that are living alone and isolated. And I think the issue for us was more than just about technology because a lot of these people don't have access to basic technology features that most of us would take for granted. So far this is a two-prong journey. One is about increasing the accessibility to tech and familiarizing people so that they're comfortable with these devices technology and two importantly, make sure that we have the right means to help people reduce their loneliness and isolation. So the opportunity to try out something over the last 12 months, something that's bespoke, that's customized that will undoubtedly be tweaked as we go forward has been an absolutely marvelous opportunity. And for us, the collaboration with Accenture has been absolutely key. I think what we've seen during COVID is cross-fertilization. We've seen multi-disciplinary teams, we've got engineers, architects, manufacturers, and clinicians, and scientists, all trying to develop new solutions around COVID. And I think this probably just exemplary bias, especially as a post COVID where industry and in our case for example public sector and academia working together. >> Yeah, that's a great example and props to everyone there. And congratulations on this really, really important initiative. Let's talk about the home care solution. What does it do? How does it work? Take us through what's happening? >> Okay, so Home Care is actually a platform which is obviously running on AWS technology and this particular platform is the service offered accessible via voice through the Alexa device. We use the Echo Show to be able to use voice but also visuals to kind of make the technology more accessible for end user. On the platform itself, we have a series of services available out there. We connecting in the background a number of services from the community. So in the particular case of Hafod, we had something around shopping during the pandemic where we had people wanting to have access to their food bank. Or we also had during the pandemic, there was some need for having access to financial coaching and things like that. So we actually brought all of the service on the platform and the skills and this skill was really learning how to interact with the end user. And it was all customized for them to be able to access those things in a very easy way. It did work almost too well because some of our end users have been a kind of you know, have not been digital literate before and it was working so well, they were like, "But why can't it do pretty much anything on the planet? "Why can't it do this or that?" So the expectations were really, really high but we did manage to bring comfort to Hafod residents in a number of their daily kind of a need, some of the things during COVID 'cause people couldn't meet face to face. There was some challenge around understanding what events are running. So the coaches would publish events, you know, through the skills and people would be able to subscribe and go to the event and meet together virtually instead of physically. The number of things that really kind of brought a voice enabled experience for those end users. >> You know, you mentioned the people like the solution just before we, I'm going to get the Jamie in a second, but I want to just bring up something that you brought up. This is a digital divide evolution because digital divide, as Josh was saying, is that none about technology,, first, you have to access, you need access, right? First, then you have to bring broadband and internet access. And then you have to get the technology in the home. But then here it seems to be a whole nother level of digital divide bridging to the new heights. >> Yeah, completely, completely. And I think that's where COVID has really accelerated the digital divide before the solution was put in place for Hafod in the sense that people couldn't move and if they were not digitally literate, it was very hard to have access to services. And now we brought this solution in the comfort of their own home and they have the access to the services that they wouldn't have had otherwise on their own. So it's definitely helping, yeah. >> It's just another example of people refactoring their lives or businesses with technology. Jamie, what's your take on the innovation here and the technical aspects of the home care solutions? >> I think the fact that it's so easy to use, it's personalized, it's a digital companion for the home. It overcomes that digital divide that we talked about, which is really important. If you've got a voice you can use home care and you can interact with it in this really simple way. And what I love about it is the fact that it was based on what our customers told us they were finding difficult during this time, during the early lockdowns of the pandemic. There was 1500 so people Jas talked about who were living alone and at risk of loneliness. Now we spoke to a good number of those through a series of welfare calls and we found out exactly what it is they found challenging. >> What were some of the things that they were finding challenging? >> So tracking how they feel on a day-to-day basis. What's my mood like, what's my wellbeing like, and knowing how that changes over time. Just keeping the fridge in the pantry stocked up. What can I cook with these basic ingredients that I've got in my home? You could be signposted to basic resources to help you with that. Staying connected to the people who are really important to you but the bit that shines out for me is the interface with our services, with our neighborhood coaching service, where we can just give these little nudges, these little interventions just to mitigate and take the edge of that loneliness for people. We can see the potential of that coming up to the pandemic, where you can really encourage people to interact with one another, to be physically active and do all of those things that sort of mitigate against loneliness. >> Let me ask you a question 'cause I think a very important point. The timing of the signaling of data is super important. Could you comment on the relevance of having access to data? If you're getting something connected, when you're connected like this, I can only imagine the benefits. It's all about timing, right? Knowing that someone might be thinking some way or whether it's a tactical, in any scenario, timing of data, the right place at the right time, as they say. What's your take on that 'cause it sounds like what you're saying is that you can see things early when people are in the moment. >> Yeah, exactly. So if there's a trend beginning to emerge, for example, around some of these wellbeing, which has been on a low trajectory for a number of days, that can raise a red flag in our system and it alerts one of our neighborhood coaches just to reach out to that person and say, "Well, John, what's going on? "You haven't been out for a walk for a few days. "We know you like to walk, what's happening?" And these early warning signs are really important when we think of the long-term effects of loneliness and how getting upstream of those, preventing it reaching a point where it moves from being a problem into being a crisis. And the earlier we can detect that the more chance we've got of these negative long-term outcomes being mitigated. >> You know, one of the things we see in the cloud business is kind of separate track but it kind of relates to the real world here that you're doing, is automation and AI and machine learning bringing in a lot of value if applied properly. So how are you guys seeing, I can almost imagine that patterns are coming in, right? Do you see patterns in the data? How does AI and analytics technology improve this process especially with the wellbeing and emotional wellbeing of the elderly? >> I think one of the things we've learned through the pilot study we've done is there's not one size fits all. You know, all those people are very different individuals. They have very different habits. You know, there's some people not sleeping over the night. There's some people wanting to be out early, wanting to be social. Some people you have to put in much more. So it's definitely not one size fits all. And automation and digitalization of those kinds of services is really challenging because if they're not personalized, it doesn't really catch the interest or the need of the individuals. So for me as an IT professional being in the industry for like a 20 plus years, I think this is the time where personalization has really a true meaning. Personalization at scale for those people that are not digitally literate. But also in more vulnerable settings 'cause there's just so many different angles that can make them vulnerable. Maybe it's the body, maybe it's the economy position, their social condition, there's so many variation of all of that. So I think this is one of the use case that has to be powered by technology to complement the human side of it. If we really want to start scaling the services we provide to people in general, meaning obviously, in all the Western country now we all growing old, it's no secret. So in 20 years time the majority of everybody will be old and we obviously need people to take care of us. And at the moment we don't have that population to take care of us coming up. So really to crack on those kinds of challenges, we really need to have technology powering and just helping the human side to make it more efficient, connected than human. >> It's interesting. I just did a story where you have these bots that look at the facial recognition via cameras and can detect either in hospitals and or in care patients, how they feel. So you see where this is going. Jas I got to ask you how all this changes, the home care model and how Hafod works. Your workforce, the career's culture, the consortium you guys are bringing to the table, partners, you know this is an ecosystem now, it's a system. >> Yes John, I think that probably, it's also worth talking a little bit about the pressures on state governments around public health issues which are coming to the fore. And clearly we need to develop alternative ways that we engage with mass audiences and technology is going to be absolutely key. One of the challenges I still think that we've not resolved in the U.K. level, this is probably a global issue, is about data protection. When we're talking to cross governmental agencies, it's about sharing data and establishing protocols and we've enjoyed a few challenging conversations with colleagues around data protection. So I think those need to be set out in the context of the journey of this particular project. I think that what's interesting around COVID is that, hasn't materially changed the nature in which we do things, probably not in our focus and our work remains the same. But what we're seeing is very clear evidence of the ways, I mean, who would have thought that 12 months ago, the majority of our workforce would be working from home? So rapid mobilization to ensure that people can use, set IT home effectively. And then how does that relationship impact with people in the communities we're serving? Some of whom have got access to technology, others who haven't. So that's been, I think the biggest change, and that is a fundamental change in the design and delivery of future services that organizations like us will be providing. So I would say that overall, some things remain the same by and large but technology is having an absolutely profound change in the way that our engagement with customers will go forward. >> Well, you guys are in the front end of some massive innovation here with this, are they possible and that, you're really delivering impact. And I think this is an example of that. And you brought up the data challenges, this is something that you guys call privacy by design. This is a cutting edge issue here because there are benefits around managing privacy properly. And I think here, your solution clearly has value, right? And no one can debate that, but as these little blockers get in the way, what's your reaction to that? 'Cause this certainly is something that has to be solved. I mean, it's a problem. >> Yeah, so we designed a solution, I think we had, when we design, I co-designed with your end-users actually. We had up to 14 lawyers working with us at one point in time looking at different kinds of angles. So definitely really tackle the solution with privacy by design in mind and with end users but obviously you can't co-design with thousands of people, you have to co-design with a representative subset of a cohort. And some of the challenge we find is obviously, the media have done a lot of scaremongering around technology, AI and all of that kind of things, especially for people that are not necessarily digitally literate, people that are just not in it. And when we go and deploy the solution, people are a little bit worried. When we make them, we obviously explain to them what's going to happen if they're happy, if they want to consent and all that kind of things. But the people are scared, they're just jumping on a technology on top of it we're asking them some questions around consent. So I think it's just that the solution is super secured and we've gone over millions of hoops within Accenture but also with Hafod itself. You know, it's more that like the type of user we deploying the solution to are just not in that world and then they are little bit worried about sharing. Not only they're worried about sharing with us but you know, in home care, there there's an option as well to share some of that data with your family. And there we also see people are kind of okay to share with us but they don't want to share with their family 'cause they don't want to have too much information kind of going potentially worrying or bothering some of their family member. So there is definitely a huge education kind of angle to embracing the technology. Not only when you create the solution but when you actually deploy it with users. >> It's a fabulous project, I am so excited by this story. It's a great story, has all the elements; technology, innovation, cidal impact, data privacy, social interactions, whether it's with family members and others, internal, external. In teams themselves. You guys doing some amazing work, thank you for sharing. It's a great project, we'll keep track of it. My final question for you guys is what comes next for the home care after the trial? What are Hafod's plans and hopes for the future? >> Maybe if I just give an overview and then invite Jamie and Laetitia. So for us, without conversations, you don't create possibilities and this really is a reflection of the culture that we try to engender. So my ask of my team is to remain curious, is to continue to explore opportunities because it's home care up to today, it could be something else tomorrow. We also recognize that we live in a world of collaboration. We need more cross industrial partnerships. We love to explore more things that Accenture, Amazon, others as well. So that's principally what I will be doing is ensuring that the culture invites us and then I hand over to the clever people like Jamie and Laetitia to get on with the technology. I think for me we've already learned an awful lot about home care and there's clearly a lot more we can learn. We'd love to build on this initial small-scale trial and see how home care could work at a bigger scale. So how would it work with thousands of users? How do we scale it up from a cohort of 50 to a cohort of 5,000? How does it work when we bring different kinds of organizations into that mix? So what if, for example, we could integrate it into health care? So a variety of services can have a holistic view of an individual and interact with one another, to put that person on the right pathway and maybe keep them out of the health and care system for longer, actually reducing the costs to the system in the long run and improving that person's outcomes. That kind of evidence speaks to decision-makers and political partners and I think that's the kind of evidence we need to build. >> Yeah, financial impact is there, it's brutal. It's a great financial impact for the system. Efficiency, better care, everything. >> Yeah and we are 100% on board for whatever comes next. >> Laetitia-- >> What about you Laetitia? >> Great program you got there. A amazing story, thank you for sharing. Congratulations on this awesome project. So much to unpack here. I think this is the future. I mean, I think this is a case study of represents all the moving parts that need to be worked on, so congratulations. >> Thank you. >> Thank you. >> We are the Art of the Possible here inside the Cube, part of AWS Reinvent Executive Summit, I'm John Furrier, your host, thanks for watching. (bright upbeat music)

(bright upbeat music) >> Welcome to The Cube. We're here for the AWS Executive Summit part of Reinvent 2021. I'm John Farrow, your host of the Cube. We've got a great segment focus here, Art of the Possible is the segment. Jas Bains, Chief Executive at Hafod and Jamie Smith, director of research and innovation and Laetitia Cailleteau who's the global lead of conversational AI at Accenture. Thanks for joining me today for this Art of the Possible segment. >> Thank you. >> So tell us a little bit about Hafod and what you guys are doing to the community 'cause this is a really compelling story of how technology in home care is kind of changing the game and putting a stake in the ground. >> Yeah, so Hafod is one of the largest not for profits in Wales. We employ about 1400 colleagues. We have three strands a service, which practices on key demographics. So people who are vulnerable and socioeconomically disadvantaged. Our three core strands of service are affordable housing, we provide several thousand homes to people in housing need across Wales. We also are an extensive provider of social provision, both residential and in the community. And then we have a third tier, which is a hybrid in between. So that supports people who are not quite ready for independent living but neither are they ready for residential care. So that's a supportive provision. I suppose what one of the things that marks Hafod out and why we're here in this conversation is that we're uniquely placed as one of the organizations that actually has a research and innovation capacity. And it's the work of the research and innovation capacity led by Jamie that brought about this collaboration with Accenture which is great in great meaning and benefits. So thousands of our customers and hopefully universal application as it develops. >> You know this is a really an interesting discussion because multiple levels, one, the pandemic accelerated this needs so, I want to get comments on that. But two, if you look at the future of work and work and home life, you seeing the convergence of where people live. And I think this idea of having this independent home and the ecosystem around it, there's a societal impact as well. So what brought this opportunity together? How did this come together with Accenture and AWS? >> We're going for Jamie and Laetitia. >> Yeah, I can start. Well, we were trying to apply for the LC Aging Grand Challenge in the U.K., so the United Kingdom recognized the need for change around independent living and run a grand challenge. And then we got together as part of this grand challenge. You know, we had some technology, we had trialed with AGK before and Hanover Housing Association. Hafod was really keen to actually start trying some of that technology with some of the resident. And we also worked with Swansea University, was doing a lot of work around social isolation and loneliness. And we came together to kind of pitch for the grand challenge. And we went quite far actually, unfortunately we didn't win but we have built such a great collaboration that we couldn't really let it be, you know, not going any further. And we decided to continue to invest in this idea. And now we here, probably 18 months on with a number of people, Hafod using the technology and a number of feedbacks and returns coming back and us having a grand ambitions to actually go much broader and scale this solution. >> Jas and Jamie, I'd love to get your reaction and commentary on this trend of tech for good because I mean, I'm sure you didn't wake up, oh, just want to do some tech for good. You guys have an environment, you have an opportunity, you have challenges you're going to turn into opportunities. But if you look at the global landscape right now, things that are jumping out at us are looking at the impact of social media on people. You got the pandemic with isolation, this is a first order problem in this new world of how do we get technology to change how people feel and make them better in their lives. >> Yeah, I think for us, the first has to be a problem to solve. There's got to be a question to be answered. And for us, that was in this instance, how do we mitigate loneliness and how do we take services that rely on person to person contact and not particularly scalable and replicate those through technology somehow. And even if we can do 10% of the job of that in-person service then for us, it's worth it because that is scalable. And there are lots of small interventions we can make using technology which is really efficient way for us to support people in the community when we just can't be everywhere at once. >> So, John, just to add, I think that we have about 1500 people living in households that are living alone and isolated. And I think the issue for us was more than just about technology because a lot of these people don't have access to basic technology features that most of us would take for granted. So far this is a two-prong journey. One is about increasing the accessibility to tech and familiarizing people so that they're comfortable with these devices technology and two importantly, make sure that we have the right means to help people reduce their loneliness and isolation. So the opportunity to try out something over the last 12 months, something that's bespoke, that's customized that will undoubtedly be tweaked as we go forward has been an absolutely marvelous opportunity. And for us, the collaboration with Accenture has been absolutely key. I think what we've seen during COVID is cross-fertilization. We've seen multi-disciplinary teams, we've got engineers, architects, manufacturers, and clinicians, and scientists, all trying to develop new solutions around COVID. And I think this probably just exemplary bias, especially as a post COVID where industry and in our case for example public sector and academia working together. >> Yeah, that's a great example and props to everyone there. And congratulations on this really, really important initiative. Let's talk about the home care solution. What does it do? How does it work? Take us through what's happening? >> Okay, so Home Care is actually a platform which is obviously running on AWS technology and this particular platform is the service offered accessible via voice through the Alexa device. We use the Echo Show to be able to use voice but also visuals to kind of make the technology more accessible for end user. On the platform itself, we have a series of services available out there. We connecting in the background a number of services from the community. So in the particular case of Hafod, we had something around shopping during the pandemic where we had people wanting to have access to their food bank. Or we also had during the pandemic, there was some need for having access to financial coaching and things like that. So we actually brought all of the service on the platform and the skills and this skill was really learning how to interact with the end user. And it was all customized for them to be able to access those things in a very easy way. It did work almost too well because some of our end users have been a kind of you know, have not been digital literate before and it was working so well, they were like, "But why can't it do pretty much anything on the planet? "Why can't it do this or that?" So the expectations were really, really high but we did manage to bring comfort to Hafod residents in a number of their daily kind of a need, some of the things during COVID 'cause people couldn't meet face to face. There was some challenge around understanding what events are running. So the coaches would publish events, you know, through the skills and people would be able to subscribe and go to the event and meet together virtually instead of physically. The number of things that really kind of brought a voice enabled experience for those end users. >> You know, you mentioned the people like the solution just before we, I'm going to get the Jamie in a second, but I want to just bring up something that you brought up. This is a digital divide evolution because digital divide, as Josh was saying, is that none about technology,, first, you have to access, you need access, right? First, then you have to bring broadband and internet access. And then you have to get the technology in the home. But then here it seems to be a whole nother level of digital divide bridging to the new heights. >> Yeah, completely, completely. And I think that's where COVID has really accelerated the digital divide before the solution was put in place for Hafod in the sense that people couldn't move and if they were not digitally literate, it was very hard to have access to services. And now we brought this solution in the comfort of their own home and they have the access to the services that they wouldn't have had otherwise on their own. So it's definitely helping, yeah. >> It's just another example of people refactoring their lives or businesses with technology. Jamie, what's your take on the innovation here and the technical aspects of the home care solutions? >> I think the fact that it's so easy to use, it's personalized, it's a digital companion for the home. It overcomes that digital divide that we talked about, which is really important. If you've got a voice you can use home care and you can interact with it in this really simple way. And what I love about it is the fact that it was based on what our customers told us they were finding difficult during this time, during the early lockdowns of the pandemic. There was 1500 so people Jas talked about who were living alone and at risk of loneliness. Now we spoke to a good number of those through a series of welfare calls and we found out exactly what it is they found challenging. >> What were some of the things that they were finding challenging? >> So tracking how they feel on a day-to-day basis. What's my mood like, what's my wellbeing like, and knowing how that changes over time. Just keeping the fridge in the pantry stocked up. What can I cook with these basic ingredients that I've got in my home? You could be signposted to basic resources to help you with that. Staying connected to the people who are really important to you but the bit that shines out for me is the interface with our services, with our neighborhood coaching service, where we can just give these little nudges, these little interventions just to mitigate and take the edge of that loneliness for people. We can see the potential of that coming up to the pandemic, where you can really encourage people to interact with one another, to be physically active and do all of those things that sort of mitigate against loneliness. >> Let me ask you a question 'cause I think a very important point. The timing of the signaling of data is super important. Could you comment on the relevance of having access to data? If you're getting something connected, when you're connected like this, I can only imagine the benefits. It's all about timing, right? Knowing that someone might be thinking some way or whether it's a tactical, in any scenario, timing of data, the right place at the right time, as they say. What's your take on that 'cause it sounds like what you're saying is that you can see things early when people are in the moment. >> Yeah, exactly. So if there's a trend beginning to emerge, for example, around some of these wellbeing, which has been on a low trajectory for a number of days, that can raise a red flag in our system and it alerts one of our neighborhood coaches just to reach out to that person and say, "Well, John, what's going on? "You haven't been out for a walk for a few days. "We know you like to walk, what's happening?" And these early warning signs are really important when we think of the long-term effects of loneliness and how getting upstream of those, preventing it reaching a point where it moves from being a problem into being a crisis. And the earlier we can detect that the more chance we've got of these negative long-term outcomes being mitigated. >> You know, one of the things we see in the cloud business is kind of separate track but it kind of relates to the real world here that you're doing, is automation and AI and machine learning bringing in a lot of value if applied properly. So how are you guys seeing, I can almost imagine that patterns are coming in, right? Do you see patterns in the data? How does AI and analytics technology improve this process especially with the wellbeing and emotional wellbeing of the elderly? >> I think one of the things we've learned through the pilot study we've done is there's not one size fits all. You know, all those people are very different individuals. They have very different habits. You know, there's some people not sleeping over the night. There's some people wanting to be out early, wanting to be social. Some people you have to put in much more. So it's definitely not one size fits all. And automation and digitalization of those kinds of services is really challenging because if they're not personalized, it doesn't really catch the interest or the need of the individuals. So for me as an IT professional being in the industry for like a 20 plus years, I think this is the time where personalization has really a true meaning. Personalization at scale for those people that are not digitally literate. But also in more vulnerable settings 'cause there's just so many different angles that can make them vulnerable. Maybe it's the body, maybe it's the economy position, their social condition, there's so many variation of all of that. So I think this is one of the use case that has to be powered by technology to complement the human side of it. If we really want to start scaling the services we provide to people in general, meaning obviously, in all the Western country now we all growing old, it's no secret. So in 20 years time the majority of everybody will be old and we obviously need people to take care of us. And at the moment we don't have that population to take care of us coming up. So really to crack on those kinds of challenges, we really need to have technology powering and just helping the human side to make it more efficient, connected than human. >> It's interesting. I just did a story where you have these bots that look at the facial recognition via cameras and can detect either in hospitals and or in care patients, how they feel. So you see where this is going. Jas I got to ask you how all this changes, the home care model and how Hafod works. Your workforce, the career's culture, the consortium you guys are bringing to the table, partners, you know this is an ecosystem now, it's a system. >> Yes John, I think that probably, it's also worth talking a little bit about the pressures on state governments around public health issues which are coming to the fore. And clearly we need to develop alternative ways that we engage with mass audiences and technology is going to be absolutely key. One of the challenges I still think that we've not resolved in the U.K. level, this is probably a global issue, is about data protection. When we're talking to cross governmental agencies, it's about sharing data and establishing protocols and we've enjoyed a few challenging conversations with colleagues around data protection. So I think those need to be set out in the context of the journey of this particular project. I think that what's interesting around COVID is that, hasn't materially changed the nature in which we do things, probably not in our focus and our work remains the same. But what we're seeing is very clear evidence of the ways, I mean, who would have thought that 12 months ago, the majority of our workforce would be working from home? So rapid mobilization to ensure that people can use, set IT home effectively. And then how does that relationship impact with people in the communities we're serving? Some of whom have got access to technology, others who haven't. So that's been, I think the biggest change, and that is a fundamental change in the design and delivery of future services that organizations like us will be providing. So I would say that overall, some things remain the same by and large but technology is having an absolutely profound change in the way that our engagement with customers will go forward. >> Well, you guys are in the front end of some massive innovation here with this, are they possible and that, you're really delivering impact. And I think this is an example of that. And you brought up the data challenges, this is something that you guys call privacy by design. This is a cutting edge issue here because there are benefits around managing privacy properly. And I think here, your solution clearly has value, right? And no one can debate that, but as these little blockers get in the way, what's your reaction to that? 'Cause this certainly is something that has to be solved. I mean, it's a problem. >> Yeah, so we designed a solution, I think we had, when we design, I co-designed with your end-users actually. We had up to 14 lawyers working with us at one point in time looking at different kinds of angles. So definitely really tackle the solution with privacy by design in mind and with end users but obviously you can't co-design with thousands of people, you have to co-design with a representative subset of a cohort. And some of the challenge we find is obviously, the media have done a lot of scaremongering around technology, AI and all of that kind of things, especially for people that are not necessarily digitally literate, people that are just not in it. And when we go and deploy the solution, people are a little bit worried. When we make them, we obviously explain to them what's going to happen if they're happy, if they want to consent and all that kind of things. But the people are scared, they're just jumping on a technology on top of it we're asking them some questions around consent. So I think it's just that the solution is super secured and we've gone over millions of hoops within Accenture but also with Hafod itself. You know, it's more that like the type of user we deploying the solution to are just not in that world and then they are little bit worried about sharing. Not only they're worried about sharing with us but you know, in home care, there there's an option as well to share some of that data with your family. And there we also see people are kind of okay to share with us but they don't want to share with their family 'cause they don't want to have too much information kind of going potentially worrying or bothering some of their family member. So there is definitely a huge education kind of angle to embracing the technology. Not only when you create the solution but when you actually deploy it with users. >> It's a fabulous project, I am so excited by this story. It's a great story, has all the elements; technology, innovation, cidal impact, data privacy, social interactions, whether it's with family members and others, internal, external. In teams themselves. You guys doing some amazing work, thank you for sharing. It's a great project, we'll keep track of it. My final question for you guys is what comes next for the home care after the trial? What are Hafod's plans and hopes for the future? >> Maybe if I just give an overview and then invite Jamie and Laetitia. So for us, without conversations, you don't create possibilities and this really is a reflection of the culture that we try to engender. So my ask of my team is to remain curious, is to continue to explore opportunities because it's home care up to today, it could be something else tomorrow. We also recognize that we live in a world of collaboration. We need more cross industrial partnerships. We love to explore more things that Accenture, Amazon, others as well. So that's principally what I will be doing is ensuring that the culture invites us and then I hand over to the clever people like Jamie and Laetitia to get on with the technology. I think for me we've already learned an awful lot about home care and there's clearly a lot more we can learn. We'd love to build on this initial small-scale trial and see how home care could work at a bigger scale. So how would it work with thousands of users? How do we scale it up from a cohort of 50 to a cohort of 5,000? How does it work when we bring different kinds of organizations into that mix? So what if, for example, we could integrate it into health care? So a variety of services can have a holistic view of an individual and interact with one another, to put that person on the right pathway and maybe keep them out of the health and care system for longer, actually reducing the costs to the system in the long run and improving that person's outcomes. That kind of evidence speaks to decision-makers and political partners and I think that's the kind of evidence we need to build. >> Yeah, financial impact is there, it's brutal. It's a great financial impact for the system. Efficiency, better care, everything. >> Yeah and we are 100% on board for whatever comes next. >> Laetitia-- >> What about you Laetitia? >> Great program you got there. A amazing story, thank you for sharing. Congratulations on this awesome project. So much to unpack here. I think this is the future. I mean, I think this is a case study of represents all the moving parts that need to be worked on, so congratulations. >> Thank you. >> Thank you. >> We are the Art of the Possible here inside the Cube, part of AWS Reinvent Executive Summit, I'm John Furrier, your host, thanks for watching. (bright upbeat music)

>>From the Bellagio hotel in Las Vegas, it's the cube covering UI path forward for brought to you by >>Welcome to the cubes coverage of UI path forward for live from Las Vegas. We're here at the Bellagio. Lisa Martin, with Dave a long time, very excited to have in-person events back ish. I'll say we're going to be talking about automation as a boardroom imperative. We have two guests joining us here, James Matras here consulting principal. America's intelligent automation leader at UI and Irv. Dennis retired EA partner, and former CFO of HUD gentlemen. Welcome to the program. Exciting topic automation as a boardroom imperative, James says COO and start with you. How do you discuss the value of automation as being a key component and driver of transformation? >>That's a great question. I think what we've seen in the last couple of years is the evolution of what automation used to be. Two is going nine. And we've seen the shift from what we call generation one, which is very RPA centric type automation to more generation two, which is the combined integration of multiple technologies. It can target an intern process and it's quite important that you understand the pivotal shift because it's not enabling us to move from a task micro top agenda to a macro agenda actually impacts an organization at a strategic level. The ability to be able to look at processes more deeply to automate them in an end to end process collectively and use these different technologies in a synergistic manner truly becomes powerful because it shifts the narrative from a micro process agenda into more systemic area. >>So gen zero is an Emmanuel gen one is RPA point tools that individual maybe getting their personal productivity out. And then now you're saying gen three is across the enterprise. Where are we in terms of, you know, take your experience from your practical experience? Where do you think the world is? It's like probably between zero and one still. Right. But the advanced folks of thinking about gen three, w what's your, >>Yeah, it's a great question. And, um, when you and I, I can do the comparison being private and public sector on this because I was 37 years with E Y then went into retirement and CFL at HUD CFO. Ed was, was a HUD was nowhere. They had to just do all the intelligence digitalization, um, throughout, uh, from scratch. The private sector is probably five or six years ahead of them. But when you think about James talks about the gen one, two and three, the private sector is probably somewhere between two and three. And I know we're talking about the board in this conversation. Um, boards probably have one and two on their radar. Some boards may have three, some may not, but that's where the real strategic focus for boards needs to be is looking forward and, and getting ahead. But I think from a public sector standpoint, lot to go private sector, more to go as well. But, uh, there's a, there's a bit of a gap, but the public sector is probably only about three or four years behind the private sector >>To be okay. Let's look at the numbers, look at, look at the progress for the quarter. And now it's like discussion on cyber discussion on digital discussion on automated issue. It really changed the narrative over the last decade. >>Yeah, I think when you think of boards today, the lots of conversation on cyber that that conversation has been around for a while. A lot of conversation on ESG today, that conversation is getting, getting very popular. But I think when you think of next three, a Jen talks that bear James talks about, um, that's got to start elevating itself if it's not within the boardroom right now, because that will be the future of the company. And the way I think of it from a board's conversation is if a company doesn't think of themselves as a technology company in all aspects, no matter what you do, you are a technology company or you need to be. And if you're not thinking along that way, you're gonna, you're gonna lose market share and you're going to start falling behind your competitors. >>Well, and how much acceleration did the pandemic bring to just that organizations that weren't digital forward last year are probably gone? >>I think it certainly has shifted quite a lot. There's been a drive, the relevance of technology and hard plays for us in the modern workforce in the modern workplace has fundamentally changed the pandemic. We reimagine how we do things. Technology has progressed in itself significantly, and that made a big difference for, for all the environments as a result of that. So certainly is one of the byproducts of the pandemic has been certainly a good thing for everybody. >>Where does automation fit in the board? Virginia? You've got compensation committee. You've probably, I mean, there's somebody in charge of cyber. You got ESG now there's automation part of a broader digital agenda. Where's what's the right word. >>You know, I, I would personally put it in a enterprise risk management from a standpoint that if you're not focused on it, it's going to be a risk to the enterprise. And, um, when you think of automation and intelligent automation and RPA, uh, I think boards have a pretty good sense of how you interface with your customers and your vendors. I think a big push ought to be looking internally at your own infrastructure. You know, what are you, what are you doing in the HR space? What are you doing in a financial statement, close process? What are you doing your procurement process? I suspect there's still a lot of very routine transactions and processing within those, that infrastructure that if you just apply some RPA artificial intelligence, that data extraction techniques, you can probably eliminate a lot of man hours from the routine stuff. And, and the many man hours is probably not the right way to think of it. You could elevate people's work from being pushing numbers around to being data analyzers. And that's where the excitement is for people to see. >>It's not how it's viewed at organizations. We're not eliminating hours. Well focusing folks on much more strategic down at a test. >>Yes. I would say that that's exactly right now in the private sector, you're always going to have the efficiency play and profitability. So there will be an element of that. I know when at HUD we're, we're focused, we were not focused on eliminating hours because we needed people and we focused on creating efficiencies within the space and having people convert from, again, being Trent routine transactions, to being data analyzers and made the jobs, I'm sure. Fund for them as well. I mean, this is a lot of fun stuff. And, and if, uh, uh, companies need to be pushing this down through their entire infrastructure, not just dealing with our customers and the third parties that they deal with >>Catalyst or have been public sector. So you mentioned they may be five or six years behind, but I've seen certain public sector organizations really lean in, they learn from, from the private sector. And then even when you think about some of the military, how advanced they are absolutely. You know, the private could learn from them and if they could open it up. But >>So, yeah, I think that's, that's well said I was in this, you know, the that's the civilian part with, with the housing and urban development. I think the catalyst is, uh, bringing the expertise in, uh, I know when I, when I came, I went to HUD to elevate their financial infrastructure. It was, it was probably the worst of the cabinet agency. The financials were a mess. There was no, there was a, uh, there was not a clean audit opinion for eight years. And I was there to fix that and we fixed it through digitalization and digital transformation, as well as a financial transformation. The catalyst is just creating the education, letting people know what is, what, what technology can do. You don't have to be a programmer, but it's like driving a car. Anybody can drive a car, but we can't mechanic, you know, work as a mechanic on it. >>So I think it's creating education, letting people know what it can do. And at HUD, for example, we did a very simple, I was telling James earlier, we did a very simple RPA project on an, an, a financial statement, close process. It was 2,600 hours, six months. Once we implemented the RPA, brought that down to 70 hours, two weeks, people's eyes exploded with it. And then all of a sudden, I said, I want everyone to go back and come back with, with any manual process, any routine process that can convert to an RPA. And I got a list of a hundred, then it came then became trying to slow everything down. We're not going to do it overnight. Yeah, exactly. >>So, but it was self-funding. It was >>Self-funded. Yes. >>And, and how do you take that message to customers that it could be self-funding how how's that resonating >>Very well. And I think it was important. I always like to say, it's a point of differentiation because you look at, uh, mentioned earlier that organizations are basically technology companies. That's what they are. But now if you look across that we no longer compete at the ERP level without got SAP, Oracle, it's not a point of differentiation. We don't compete the application layer where they've got service. Now, black line, how we use them is helpful. We competed the digital layer and with automation is a major component of that. That's where your differentiation takes place. Now, if you have a point of differentiation, that is self-funding, it fundamentally changes the game. And that's why it's so important for boards to understand this, because that risk management, if you've not doing it, somebody is getting ahead of the game much faster than you are. >>Yeah. Yeah. You mentioned ERP and it, and it triggered something in my mind. Cause I, I said this 10 years ago about data. If in the nineties, you, you couldn't have picked SAP necessarily as the winner of ERP. But if you could have picked the companies that were using ERP could have made a lot of money in the stock market because they outperform their peers. And the same thing was true with data. And I think the same thing is going to be true with automation in the coming decade. >>Couldn't agree more. And I think that's exactly the point that differential acceleration happening this. And it's harder because of the Europeans. Once you knew what it was, you can put the boundaries on it. Digital, the options are infinite. It's just continuous progress as are from there. >>I've got a question for you. You talked about some great stats about how dramatically faster things were took far less time. How does that help from an adoption perspective? I know how much cultural change is very difficult for folks in any organization, but that sort of self-serving how does that help fuel adoption? >>Well, it's interesting. Um, it's, it is a, we're actually going to talk about this tomorrow. It is a framework and it's got to start at the leadership has got to start with governance. It's got to start with a detailed plan. That's executable. And it's got to start with getting buy-in from not only your, the, the organization, but the people you're dealing with outside the organization. Um, it's, it's, uh, I think that's absolutely critical. And when you bring this back to the boardroom, they are the leaders of the companies. And, and I, James, I talked about this as we're getting ready for tomorrow's session. I think the number one thing a board can do today is an own personal self assessment. Do they understand automation? Do they understand what next generation three is? Do they understand what the different components can do? And do they understand how the companies are implementing it? And if I was a board member, uh, on our boards, I say, we need to understand that or else this is nothing's going to happen. We're going to be here at the reliance of the CEO and the CFO strategy, which may or may not include or be thinking about this next three. So leadership at the top is going to drive this. And it's so critical. >>We were talking about catalyst before. And you mentioned education and expertise. I'm always curious as to what drew you to public sector because it's, yeah, I mean, very successful, you know, you're, you're with one of the global SIS directly, you can make a lot more money and that side. So what was it did, was it a desire to it's a great country? Was it >>Take one for the team and I'm going to do a selfish plug here. I just actually wrote a book in this whole thing called transforming a federal agency. What's the name of the book transforming and federal agency. And it's, uh, I spent my time at E Y for 37 years, fully retired. I wanted to give back and do meaningful work. And we lived in Columbus, Ohio, as I was talking about earlier, I was going to go teach and I got a call from the president's personnel office to see if I wanted to come. And these, the CFO at HUD with secretary Carson and change turn the agency around, uh, that took me a little while to say yes, because I wasn't sure I wanted something full time. It was a, it was in DC. So I'd be in a commuting role back and forth. My family's in Columbus. >>Um, but it was, uh, I did it and I loved it. It was, uh, I would pray, I would ask anyone that's has the ability to go into public service at any point in their career to do it. It's it was very rewarding. It was one of my favorite three years of life. And to your point, I didn't have to do it, but, uh, if I wanted to do something and give back and that met the criteria and we were very successful in turning it around with the digital transformation and a lot of stuff that we're talking about today gave me the ability to talk about it because I helped lead it >>For sharing that and did it. So did it start with the CFO's office? Because the first time I ever even heard about our RPO RPA was at a CFO conference and I started talking to him like, oh, this is going to be game changing. Is that where it started? Is that where it lands today? >>From an infrastructure standpoint, the CFO has the wonderful ability to see most processes within a company and its entire lifestyle from beginning to end. So CFO has that visibility to understand where efficiencies can happen in the process. And so the CFO plays a dramatically important role in this. And you think about a CFO's role today versus 20 years ago, it's no longer this, the bean counter rolling up numbers that become a business advisors to the board, to the CEO and to the executive suite. Um, so the CFO, I think has probably the best visibility of all the processes on a global basis. And they can see where the, the efficiencies and the implementation of automation can happen. >>So they can be catalysts and really fueling the actual >>Redesign of work. Yes, they, they, they probably need to be the catalyst. And as a board member, you want to be asking what is the CFO's strategic imperative for the next year? And if it doesn't include this, it's just got to get on the agenda. >>Well, curve ball here is his CFO question and you know, three years or two years ago, you wouldn't have even thought, I mean, let me set it up better. One of the industries that is highly automated is crypto. Yeah. You wouldn't even thought about crypto in your balance sheet a couple of years ago, but I'm not sure it's a widespread board level discussion, but as a CFO, what do you make of the trend to put Bitcoin on balance sheets? >>Yeah, I'm probably not the right person to ask because I'm a conservative guy. >>If somebody supported me and he said, Hey, why don't we put crypto on the balance sheet? >>I would get much more educated. I wouldn't shut it down. I would put it into, let's get more educated. Let's get the experts in here. Let's understand what's really happening with it. Let's understand what the risks are, what the rewards are. And can we absorb any sort of risk or reward with it? And when you say put it on the balance sheet, you can put it on in a small way to test it out. I wouldn't put the whole, I wouldn't make the whole balance sheet for Dell on day one. So that's why I would think about it. Just tell, tell me more, get me educated. How did you think about it? How can it help our business? How can I help our shareholders? How does it grow the bottom line? And then, then you start making decisions. >>Cause CFOs, let me find nature often conservative and most CFOs that I talked to just say no way, not a chance, but you're, maybe you're not as conservative as you think. Well, >>No, but I will never say go away on anything. I mean, cause I want to learn. I want to know. I mean, um, if you like all this stuff, that's new, it's easy to say go away, right? Yeah. But all of a sudden, three years later, the go away, all your competitors are doing it at a competitive advantage. So never say go away, get yourself educated before you jump into it. >>That's good advice. Yeah. In any walk of life question for you, or have you talked about the education aspect there? I'm curious from a risk mitigation perspective, especially given the last 18, 19 months, so tumultuous, so scary for all those organizations that were very digital, they're either gone or they accelerated very quickly. How much of an education do you have to provide certain industries? And are you seeing certain industries? I think healthcare manufacturing, financial services as being leaders in the uptake? >>Well, I think the financial service industries, for sure, they, they, they get this and then they need to, uh, cause they, you know, they're, they're a transaction and based, uh, industry. Uh, so they get it completely. Um, you know, I think maybe some manufacturing distribution, some of the old line businesses are, you know, they may not be thinking of this as progressively as they should. Um, but they'll get there. They're going to have to get there eventually. Um, you know, when you think about the education, my, I thought you were gonna ask a question about the education of the workforce. And I think as a board member, I would be really focused on, uh, how am I educating my workforce of the future? And do I have the workforce of the future today? Do I have to educate them to have to bring in hiring for it? Do I have to bring third-party service providers to get us there? So as a board member really focus on, do I have the right workforce to get us to this next stage? And if not, what do I need to do to get there? Because >>We'll allocate a percentage of their budgets to training and education. And the question is where do they put it >>In? Is it the right training and education, right? >>Where do they focus though? Right now we hear you iPad talking about they're a horizontal play, but James, when you and Lisa, we were asking about industry, when you go to market, are you, are you more focused on verticals? Are you thinking, >>No, it's on two things. So which often find is regardless of the sector with some nuanced variation, the back office functions are regionally the procure to pay process as the same fundamentals, regardless of the sector where the differentiation comes in at a sector of service is when you start going to the middle of the front office, I mean a mining has only one customer. They sold their product to image the retailer has an endless number of them. So when you get to the middle and front office and really start engaging with a customer and external vendors, then a differentiation is very unique and you'd have a lot of sort of customers having sector specific nuances and variations in how you use the platform. And that's where the shift now is happening as well is the back office functions that are largely driven by the CFO. If now getting good, robust value out of it, there's pivot to make it a differentiator in the market, comes in the front and middle office. And that's where we starting to say, sector specific genres solutions, nuances really come to the fall >>Deep industry expertise. Do you think digital at all changes that the reason I ask it because I see Amazon as a retail and then they're in cloud and they're in grocery other in content Apple's in, in financial services and you're seeing these internet giants with a dual agenda, they're disrupting horizontal technology and then there's disruptive industries. And my premise is it's because of data and digital. Do you ever see that industry specialization changing that value chain >>Without a doubt? And I think it's happens initially. It starts off. When people have started looking at the process, they realize there's such key dependencies on the upstream and downstream components of the value chain that they want to control it. So they actually start bridging out of what the core practices or the core business to own a broader agenda. And with digital, you can do it. You can actively interact more systemically that installs triggering, well, maybe I have a different product offering. Maybe I can own this. Could I monetize the information I had at my disposal today in a completely new line. And that really what gets truly innovative and starts creating a revenue increase as opposed as the cost saving. And that's what they're really going after. It's how do I, >>The vertical integration is not new. The plenty of ended up Koch industries, Tyson foods, but now it's digital. So presumably you can do it faster with greater greater scale >>Without a doubt. And you don't have to move your big ERP and things like that. Cause that's the only way it takes five years to move my technology backbone with digital. I can do the interaction tomorrow and we can build up enough to be able to sustain that in the short term. >>Right. And speaking of speed, unfortunately, guys, we are out of time, but thank you. Fantastic conversation automation as a board imperative guys, that's been great James or >>Thank you for your time. Thank you so much >>For Dave a long day. I'm Lisa Martin. You're watching the queue. We are live in Las Vegas at the Bellagio at UI path forward for stick around Dave and I will be right back. Okay.

>>Hello, and welcome to today's event, dealing government emergency responses beyond the pandemic. This is Bob Wooley, senior fellow for the center for digital government and formerly the chief tech clerk for the state of Utah. I'm excited to serve as moderator for today's event. And just want to say, thank you for joining us. I know we're in for an informative session over the next 60 minutes before we begin a couple of brief housekeeping notes or recording of this presentation will be emailed to all registrants within 48 hours. You can use the recording for your reference or feel free to pass it along to colleagues. This webcast is designed to be interactive and you can participate in Q and a with us by asking questions at any time during the presentation, you should see a Q and a box on the bottom left of the presentation panel. >>Please send in your questions as they come out throughout the presentation, our speakers will address as many of these questions as we can during the Q and a portion of the close of our webinar today, if you would like to download the PDF of the slides for this presentation, you can do so by clicking the webinar resources widget at the bottom of the console. Also during today's webinar, you'll be able to connect with your peers by LinkedIn, Twitter and Facebook. Please use the hashtag gov tech live to connect with your peers across the government technology platform, via Twitter. At the close of the webinar, we encourage you to complete a brief survey about the presentation. We would like to hear what you think if you're unable to see with us for the entire webinar, but we're just like to complete the survey. As much as you're able, please click the survey widget at the bottom of the screen to launch the survey. Otherwise it will pop up once the webinar concludes at this time, we recommend that you disable your pop-up blockers, and if you experiencing any media player issues or have any other problems, please visit our webcast help guide by clicking on the help button at the bottom of the console. >>Joining me today to discuss this very timely topic are Karen revolt and Tim Burch, Kim Berge currently serves as the administrator of human services for Clark County Nevada. He's invested over 20 years in improving health and human service systems of care or working in the private public and nonprofit sectors. 18 of those years have been in local government in Clark County, Las Vegas, where you served in a variety of capacities, including executive leadership roles as the director of department of social services, as well as the director for the department of family services. He has also served as CEO for provider of innovative hosted software solutions, as well as chief strategy officer for a boutique public sector consulting firm. Karen real-world is the social program management offering lead for government health and human services with IBM Watson health. Karen focuses delivering exciting new offerings by focusing on market opportunities, determining unmet needs and identifying innovative solutions. >>Much of her career has been in health and human services focused on snap, TANIF, Medicaid, affordable care act, and child welfare prior to joining IBM. Karen was the senior director of product management for a systems integrator. She naturally fell in love with being a project manager. She can take her user requirements and deliver offerings. Professionals would use to make their job easier and more productive. Karen has also found fulfillment in working in health and human services on challenges that could possibly impact the outcome of people's lives. Now, before we begin our discussion of the presentation, I want to one, we'd like to learn a little more about you as an audience. So I'm going to ask you a polling question. Please take a look at this. Give us an idea of what is your organization size. I won't bother to read all these to you, but there are other a range of sizes zero to 250 up to 50,000. Please select the one that is most appropriate and then submit. >>It looks like the vast majority are zero to two 50. Don't have too many over 250,000. So this is a very, very interesting piece of information. Now, just to set up our discussion today, what I want to do is just spend just a moment and talk about the issue that we're dealing with. So when you look the COVID-19 pandemic, it's put immense pressure on States. I've been a digital state judge and had been judging a lot of the responses from States around the country. It's been very interesting to me because they bifurcate really into two principle kinds of reactions to the stress providing services that COVID environment present. One is we're in a world of hurt. We don't have enough money. I think I'm going to go home and engage as little as I have to. Those are relatively uncommon. Thankfully, most of them have taken the COVID-19 pandemic has immense opportunity for them to really do a lot more with telework, to do more with getting people, employees, and citizens involved with government services. >>And I've done some really, really creative things along the way. I find that to be a really good thing, but in many States systems have been overloaded as individuals and families throughout the country submitted just an unprecedented number of benefit applications for social services. At the same time, government agencies have had to contend with social distance and the need for a wholly different approach to engage with citizens. Um, overall most public agencies, regardless of how well they've done with technology have certainly felt some strain. Now, today we have the opportunity to go into a discussion with our speakers, have some wonderful experience in these areas, and I'm going to be directing questions to them. And again, we encourage you as you hear what they have to say. Be sure and submit questions that we can pick up later at the time. So Tim, let's start with you. Given that Las Vegas is a hub for hospitality. An industry hit severely as a result of this pandemic. How's the County doing right now and how are you prioritizing the growing needs of the County? >>Thanks Bob. Thanks for having me. Let me start off by giving just a little, maybe context for Clark County too, to our audience today. So, uh, Clark County is, you know, 85% of the state of Nevada if we serve not just as a regional County by way of service provision, but also direct municipal services. Well, if, uh, the famous Las Vegas strip is actually in unincorporated Clark County, and if we were incorporated, we would be the largest city in the state. So I say all of that to kind of help folks understand that we provide a mix of services, not just regional services, like health and human services, the direct and, and missable, uh, services as well as we work with our other five jurisdiction partners, uh, throughout the area. Uh, we are very much, um, I think during the last recession we were called the Detroit of the West. >>And, uh, that was because we're very much seen as a one industry town. Uh, so most like when the car plants, the coal plants closed back East and in the communities fuel that very rapidly, the same thing happens to us when tourism, uh, it's cut. Uh, so of course, when we went into complete shutdown and March, uh, we felt it very rapidly, not just on, uh, uh, tax receipts and collectibles, but the way in which we could deliver services. So of course our first priority was to, uh, like I think you mentioned mobilized staff. We, we mobilized hundreds of staff overnight with laptops and phones and cars and the things they needed to do to get mobile and still provide the priority services that we're mandated to provide from a safety standpoint. Um, and then we got busy working for our clients and that's really where our partnership with IBM and Watson, uh, came in and began planning that in July. And we're able to open that portal up in October to, to really speed up the way in which we're giving assistance to, to our residents. Um, re focus has been on making sure that people stay housed. We have, uh, an estimated, uh, 2.5 million residents and over 150,000 of those households are anticipated to be facing eviction, uh, as of January one. So we, we've got a, a big task ahead of us. >>All of this sounds kind of expensive. Uh, one of the common threads as you know, runs throughout government is, ah, I don't really have the money for that. I think I'd be able to afford that a diaper too, as well. So what types of funding has been made available for counties, a result of a pandemic, >>Primarily our funding stream that we're utilizing to get these services out the door has been the federal cares act. Uh, now we had some jurisdictions regionally around us and even locally that prioritize those funds in a different way. Um, our board of County commissioners, uh, took, um, a sum total of about $85 million of our 240 million that said, this will go directly to residents in the form of rental assistance and basic needs support. No one should lose their home or go hungry during this pandemic. Uh, so we've really been again working through our community partners and through our IBM tools to make sure that happens. >>So how does, how does, how does the cares act funding then support Clark County? Cause it seems to me that the needs would be complex, diverse >>Pretty much so. So as you, as folks may know him a call there's several tronches of the cares act, the original cares act funding that has come down to us again, our board, uh, identified basic needs or rental assistance and, and gave that the department of social service to go to the tunicate, uh, through the community. We then have the cares act, uh, uh, coronavirus relief funds that have, uh, impacted our CDBG and our emergency solutions grants. We've taken those. And that's what we was going to keep a lot of the programs and services, uh, like our IBM Watson portal open past January one when the cares act dollars expire. Uh, our initial response was a very manual one, uh, because even though we have a great home grown homeless management information system, it does not do financials. Uh, so we had 14 local nonprofits adjudicating, uh, this rental assistance program. >>And so we could get our social service visitor portal up, uh, to allow us to take applications digitally and run that through our program. Uh, and, uh, so those partners were obviously very quickly overwhelmed and were able to stand up our portal, uh, which for the reason we were driving so hard, even from, uh, beginning of the conversations where after going into lockdown into contracting in July and getting the portal open in October, which was an amazing turnaround. Uh, so the kudos that IBM team, uh, for getting us up and out the door so quickly, uh, was a tie in, uh, to our, uh, Curam IBM, uh, case management system that we utilize to adjudicate benefits on daily basis in Clark County for all our local indigent population, uh, and high needs folks. Uh, and then that ties into our SAP IBM platform, which gets the checks out the door. >>So what, what we've been able to do with these dollars is created in Lucian, uh, that has allowed us in the last 60 days to get as much money out the door, as our nonprofits were able go out the door in the first six months pandemic. So it really has helped us. Uh, so I'm really grateful to our board of County commissioners for recognizing the investment in technology to, to not only get our teams mobile, but to create ease of access for our constituents and our local residents to give them the help they need quickly and the way that they need it. >>Just to follow up question to that, Tim, that I'm curious about having done a lot of work like this in government, sometimes getting procurement through in a timely way is a bit challenging. How were you able to work through those issues and getting this up and provision so quickly? >>Uh, yeah, so we, we put together a, what we call a pandemic playbook, which is kind of lessons learned. And what we've seen is the folks who were essential workers in the first 60 days of the, uh, pandemic. We were able to get a lot done quickly because we were taking full advantage of the emergency. Uh, it may sound a little crass to folks not inside the service world, but it was, uh, you know, don't want you to crisis. It was things we've been planning or trying to do for years. We need them yesterday. We should have had them yesterday, but let's get them tomorrow and get it moving very quickly. Uh, this IBM procurement was something we were able to step through very quickly because of our longstanding relationship. Our countywide, uh, system of record for our financials is SAP. Uh, we've worked with Curam, uh, solution, uh, for years. >>So we've got this long standing relationship and trust in the product and the teams, which helped us build the business case of why we did it, no need to go out for competitive procurement that we didn't have time. And we needed something that would integrate very quickly into our existing systems. Uh, so that part was there. Now when the folks who were non essential came back in June and the reopening, it was whiplash, uh, the speed at which we were moving, went back to the pace of normal business, uh, which feels like hitting a wall, doing a hundred miles an hour when you're used to having that, uh, mode of doing business. Uh, so that's certainly been a struggle, uh, for all of those involved, uh, in trying to continue to get things up. Um, but, uh, once again, the teams have been great because we've probably tripled our licensure on this portal since we opened it, uh, because of working with outside vendors, uh, to, uh, literally triple the size of our staff that are processing these applications by bringing on temporary staff, uh, and short-term professionals. Uh, and so we've been able to get those things through, uh, because we'd already built the purchasing vehicle during the early onset of the crisis. >>That's very helpful. Karen, IBM has played a really pivotal role in all of this. Uh, IBM Watson health works with a number of global government agencies, raging from counties like Clark County to federal governments. What are some of the major challenges you've seen with your clients as a result of the pandemic and how is technology supporting them in a time of need and give us some background Watson health too. So we kind of know a little more about it because this is really a fascinating area. >>Yeah. Thank you, Bob. And thanks Tim for the background on Clark County, because I think Clark County is definitely also an example of what federal governments and global governments are doing worldwide today. So, um, Watson health is our division within IBM where we really focus on health and human services. And our goal is to really focus in on, um, the outcomes that we're providing to individuals and families and looking at how we use data and insights to really make that impact and that change. And within that division, we have our government health and human services area, which is the focus of where we are with our clients around social program. But it also allows us to work with, um, different agencies and really look at how we can really move the ball in terms of, um, effecting change and outcomes for, um, really moving the needle of how we can, uh, make an impact on individuals and families. >>So as we look at the globe globally as well, you know, everything that Tim had mentioned about how the pandemic has really changed the way that government agencies operate and how they do services, I think it's amazing that you have that pandemic playbook because a lot of agencies in the same way also had these set of activities that they always wanted to go and take part on, but there was no impetus to really allow for that to happen. And with the pandemic, it allowed that to kind of open and say, okay, we can try this. And unfortunately I'm in a very partial house way to do that. And, um, what Tim has mentioned about the new program that they set up for the housing, some of those programs could take a number of years to really get a program online and get through and allowing, uh, the agencies to be able to do that in a matter of weeks is amazing. >>And I think that's really gonna set a precedent as we go forward and how you can bring on programs such as the housing and capability in Canada with the economic, uh, social, um, uh, development and, and Canada need that the same thing. They actually had a multi benefit delivery system that was designed to deliver benefits for three programs. And as part of the department of fisheries and oceans Canada, the, um, the state had an emergency and they really need to set up on how they could provide benefits to the fishermen who had been at that impacted, um, from that. And they also did set up a digital front-end using IBM citizen engagement to start to allow the applications that benefits, um, and they set it up in a matter of weeks. And as I mentioned, we, uh, Clark County had a backend legacy system where they could connect to and process those applications. And this case, this is a brand new program and the case management system that they brought up was on cloud. And they had to set up a new one, but allow them to set up a, what we used to call straight through processing, I think has been now turned, turned or coined contact less, uh, processing and allowing us to really start to move those benefits and get those capabilities out to the citizens in even a faster way than has been imagined. Uh, pre pandemic. >>Karen, I have one follow-up question. I want to ask you, having had a lot of experience with large projects in government. Sometimes there's a real gap between getting to identified real requirements and then actions. How do you, how do you work with clients to make sure that process time to benefit is shortened? >>So we really focus on the user themselves and we take a human centered design focus and really prioritizing what those needs are. Um, so working with the clients, uh, effectively, and then going through agile iterations of brain, that capability out as, um, in, in a phased approach to, so the idea of getting what we can bring out that provides quality and capability to the users, and then over time starting to really roll out additional functions and, um, other, uh, things that citizens or individuals and families would need >>Very helpful. Tim, this is an interesting partnership. It's always good to see partnerships between private sector and government. Tell us a little bit about how the partnership with IBM Watson health was established and what challenges or they were brought into assist, where they brought into assist with back to requirements. Again, within the requirements definitely shifted on us. You know, we had the con looking at, uh, Watson on our child welfare, uh, side of the house that I'm responsible for and how that we could, uh, increase access to everything from tele-health to, to, uh, foster parent benefit, uh, kinship, placement benefits, all those types of things that, that right now are very manual, uh, on the child welfare side. Uh, and then the pandemic kid. And we very quickly realized that we needed, uh, to stand up a, um, a new program because, uh, a little bit for context, uh, the park County, we don't administer TANIF or Medicaid at the County level. >>It is done at the state level. So we don't have, uh, unemployment systems or Medicaid, 10 of snap benefits systems to be able to augment and enroll out. We provide, uh, the indigent supports the, the homelessness prevention, referee housing continuum of care, long-term care, really deep emergency safety net services for our County, which is a little bit different and how those are done. So that was really our focus, which took a lot of in-person investigation. We're helping people qualify for disability benefits so they can get into permanent supportive housing, uh, things that are very intensive. And yet now we have a pandemic where we need things to happen quickly because the cares act money expires at the end of December. And people were facing eviction and eviction can help spread exposure to, to COVID. Uh, so, uh, be able to get in and very rapidly, think about what is the minimal pelvis to MVP. >>What's the minimum viable product that we can get out the door that will help people, uh, entrance to a system as contactless as possible, which again was a complete one 80 from how we had been doing business. Um, and, uh, so the idea that you could get on and you have this intelligent chat bot that can walk you through questions, help you figure out if you look like you might be eligible, roll you right into an application where you can upload the few documents that we're going to require to help verify your coat would impact and do that from a smartphone and under, you know, 20 minutes. Um, it, it, it is amazing. And the fact that we've stood that up and got it out the door in 90 days, it's just amazing to me, uh, when it shows the, uh, strength of partnership. Um, I think we can, we have some shared language because we had that ongoing partnership, but we were able to actually leverage some system architects that we had that were familiar with our community and our other products. So it really helped expedite, uh, getting this, uh, getting this out to the citizens. >>So, uh, I assume that there are some complexities in doing this. So overall, how has this deployment of citizen engagement with Watson gone and how do you measure success other than you got it out quick? How do you know if it's working? >>Yeah. Right. So it's the adage of, you know, quick, fast and good, right. Um, or fast, good and cheap. So, uh, we measure success in this way. Um, how are we getting access as our number one quality measurement here? So we were able to collect, uh, about 13,000 applications, uh, manual NRC, manually folks had to go onto our website, download a PDF, fill it out, email it, or physically drop it off along with their backup. One of their choice of 14 non-profits in town, whichever is closest to them. Um, and, uh, and then wait for that process. And they were able to get 13,000 of those, uh, process for the last six months. Uh, we have, I think we had about 8,000 applications the first month come into the portal and about an equal amount of folks who could not provide the same documentation that it was needed. >>And self-selected out. If we had not had the, the tool in place, we would have had 16,000 applications, half of which would have been non-eligible would have been jamming up the system, uh, when we don't have the bandwidth to deal to deal with that, we, we need to be able to focus in on, uh, Judy Kenny applications that we believe are like a 95% success rate from the moment our staff gets them, but because we have the complex and he was on already being dependent upon the landlord, having to verify the rent amount and be willing to work with us, um, which is a major hurdle. Um, but, uh, so w we knew we could not do is go, just reinvent the manual process digitally that that would have been an abject failure on our behalf. So, uh, the ideas that, uh, folks had can go on a very, had this very intuitive conversation to the chat bot, answer some questions and find out if they're eligible. >>And then self-select out was critical for us to not only make sure that the citizens got the help they needed, but not so burnt out and overload our workforce, which is already feeling the strain of the COVID pandemic on their own personal lives and in their homes and in the workplace. Um, so that was really critical for us. So it's not just about speed, ease of access was important. Uh, the ability to quickly automate things on the fly, uh, we have since changed, uh, the area median income, a qualifier for the rental assistance, because we were able to reallocate more money, uh, to the program. So we were able to open it up to more people. We were able to make that, uh, change to the system very quickly. Uh, the idea that we can go on the home page and put updates, uh, we recognized that, uh, some of our monolingual Hispanic residents were having difficulty even with some guidance getting through the system. >>So we're able to record a, a Spanish language walkthrough and get done on the home page the next day, right into the fordable, there'll be a fine, so they could literally run the YouTube video while they're walking through their application. Side-by-side so things like that, that those are how we are able to, for us measured success, not just in the raw dollars out the door, not just in the number of applications that have come in, but our ability to be responsive when we hear from our constituents and our elected officials that, Hey, I want, I appreciate the 15,000 applications as you all, a process and record time, I've got three, four, five, six, 10 constituents that having this type of problem and be able to go back and retool our systems to make them more intuitive, to do, be able to keep them responsive for us is definitely a measure of success and all of this, probably more qualitative than here we're looking >>For, but, uh, that's for us, that's important. Actually the qualitative side is what usually gets ignored. Uh, Karen, I've got a question that's a follow up for you on the same topic. How does IBM facilitate reporting within this kind of an environment given the different needs of stakeholders, online managers and citizens? What kinds of things do you, are you able to do >>So with, um, the influx of digitalization? I think it allows us to really take a more data-driven approach to start looking at that. So, as, as Tim was mentioning, you can see where potentially users are spending more time on certain questions, or if they're stuck on a question, you can see where the abandoned rate is. So using a more data-driven approach to go in to identify, you know, how do we actually go and, um, continue to drive that user experience that may not be something that we drive directly from the users. So I would say that analytics is really, uh, I think going to continue to be a driving force as government agencies go forward, because now they are capturing the data. But one thing that they have to be careful of is making sure that the data that they're getting is the right data to give them the information, to make the right next steps and decisions. >>And Tim, you know, use a really good example with, um, the chatbot in terms of, you know, with the influx of everything going on with COVID, the citizens are completely flooded with information and how do they get the right information to actually help them decide, can I apply for this chap program? Or should I, you know, not even try and what Tim mentioned just saved the citizens, you know, the people that may not be eligible a lot of time and going through and applying, and then getting denied by having that upfront, I have questions and I need answers. Um, so again, more data-driven of how do we provide that information? And, you know, we've seen traditionally citizens having to go on multiple website, web pages to get an answer to the question, because they're like, I think I have a question in this area, but I'm not exactly sure. And they, then they're starting to hunt and hunt and hunt and not even potentially get an answer. So the chocolate really like technology-wise helps to drive, you know, more data-driven answers to what, um, whether it's a citizen, whether it's, um, Tim who needs to understand how and where my citizens getting stuck, are they able to complete the application where they are? Can we really get the benefits to, um, this individual family for the housing needs >>Too many comments on the same thing. I know you have to communicate measures of success to County executives and others. How do you do that? I mean, are you, do you have enough information to do it? Yeah, we're able to, we actually have a standup meeting every morning where the first thing I learn is how many new applications came in overnight. How many of those were completed with full documentation? How many will be ported over into our system, assigned the staff to work, where they're waiting >>On landlord verification. So I can see the entire pipeline of applications, which helps us then determine, um, Oh, it's, it's not, you know, maybe urban legend is that folks are having difficulty accessing the system. When I see really the bottleneck there, it got gotten the system fine, the bottlenecks laying with our landlord. So let's do a landlord, a town hall and iterate and reeducate them about what their responsibilities are and how easy it is for them to respond with the form they need to attest to. And so it lets us see in real time where we're having difficulties, uh, because, uh, there's a constant pressure on this system. Not just that, uh, we don't want anyone to lose their home, uh, but these dollars also go away within a December. So we've got this dual pressure of get it right and get it right now. >>Uh, and so th the ability to see these data and these metrics on, on a daily basis is critical for us to, to continue to, uh, ModuLite our response. Um, and, and not just get comfortable are baked into well, that's why we developed the flowchart during requirements, and that's just the way things are gonna stay. Uh, that's not how you respond to a pandemic. Uh, and so having a tool and a partner that helps us, uh, stay flexible, state agile, I guess, to, to, to leverage some terminology, uh, is important. And, and it's, it's paid dividends for our citizens. Karen, again, is another up to the same thing. I'm kind of curious about one of the problems of government from time to time. And Tim, I think attest to this is how do you know when Dunn has been reached? How did you go about defining what done would look like for the initial rollout with this kind of a customer? >>So I think Doug, I guess in this case, um, is, is this, isn't able to get the benefits that they're looking for and how do we, uh, you know, starting from, I think what we were talking about earlier, like in terms of requirements and what is the minimum viable, um, part of that, and then you start to add on the bells and whistles that we're really looking to do. So, um, you know, our team worked with him to really define what are those requirements. I know it's a new program. So some of those policy decisions were still also being worked out as the requirements were being defined as well. So making sure that you are staying on top of, okay, what are the key things and what do we really need to do from a compliance standpoint, from a functionality, and obviously, um, the usability of how, uh, an assistant can come on and apply and, um, have those, uh, requirements, make sure that you can meet that, that version before you start adding on additional scope. >>Very helpful. Jim, what's your comment on this since I know done matters to you? Yeah. And look, I I've lived through a, again, multiple, uh, county-wide it implementations and some department wide initiatives as well. So I think we know that our staff always want more so nothing's ever done, uh, which is a challenge and that's on our side of the customer. Um, but, uh, for this, it really was our, our experience of recognizing the, the time was an essence. We didn't have a chance. We didn't have, uh, the space to get into these endless, uh, conversations, uh, the agile approach, rather than doing the traditional waterfall, where we would have been doing requirements tracking for months before we ever started coding, it was what do we need minimally to get a check in the hands of a landlord on behalf of a client, so they don't get evicted. >>And we kept just re honing on that. That's nice. Let's put that in the parking lot. We'll come back to it because again, we want to leverage this investment long term, uh, because we've got a we, and we've got the emergency solutions and CDBG, and then our, uh, mainstream, uh, services we brought on daily basis, but we will come back to those things speed and time are of the essence. So what do we need, uh, to, to get this? So a chance to really, um, educate our staff about the concepts of agile iteration, um, and say, look, this is not just on the it side. We're gonna roll a policy out today around how you're doing things. And we may figure out through data and metrics that it's not working next week, and we'll have to have that. You want it. And you're going to get the same way. >>You're getting updated guidance from the CDC on what to do and what not to do. Uh, health wise, you're getting the same from us, uh, and really to helping the staff understand that process from the beginning was key. And, uh, so, and, and that's, again, partnering with, with our development team in that way was helpful. Um, because once we gave them that kind of charter as I am project champion, this is what we're saying. They did an equally good job of staying on task and getting to the point of is this necessary or nice. And if it wasn't necessary, we put it in the nice category and we'll come back to it. So I think that's really helpful. My experience having done several hundred sheet applications also suggest the need for MBP matters, future stages really matter and not getting caught. My flying squirrels really matters. So you don't get distracted. So let's move on to, let's do a polling question before we go on to some of our other questions. So for our audience, do you have a digital front ends for your benefit delivery? Yes, no. Or we're planning to a lot of response here yet. There we go. Looks like about half, have one and half note. So that's an interesting question. What's going to one more polling question, learn a little more here. Has COVID-19 >>Accelerated or moved cloud. Yes, no. We already run a majority of applications on cloud. Take a moment and respond if you would, please. So this is interesting. No real acceleration was taken place and in terms of moving to cloud is not what I was expecting, but that's interesting. So let's go onto another question then. And Karen, let me direct this one to you, given that feedback, how do you envision technologies such as citizen engagement and watching the system will be used, respond to emergency situations like the pandemic moving forward? I mean, what should government agencies consider given the challenges? This kind of a pandemic is brought upon government and try to tie this in, if you would, what, what is the role of cloud in all of this for making this happen in a timely way? Karen, take it away. >>Okay. Thanks Bob. So as we started the discussion around the digital expansion, you know, we definitely see additional programs and additional capabilities coming online as we continue on. Um, I think, uh, agencies have really seen a way to connect with their citizens and families and landlords, um, in this case an additional way. And he prepared them like there were, uh, presuppose assumptions that the, um, the citizens or landlords really wanted to interact with agency face-to-face and have that high touch part. And I think, um, through this, the governments have really learned that there is a way to still have an impact on the citizen without having a slow, do a face to face. And so I think that's a big realization for them to now really explore other ways to digitally explain, expand their programs and capabilities. Another area that we touched on was around the AI and chat bot piece. >>So as we start to see capabilities like this, the reason why Clark County was able to bring it up quickly and everything was because it was housed on cloud, we are seeing the push of starting to move some of the workloads. I know from a polling question perspective that it's been, um, lighter in terms of getting, uh, moving to the cloud. But we have seen the surge of really chatbots. I think we've been talking about chatbots for a while now. And, um, agencies hadn't really had the ability to start to implement that and really put it into effect. But with the pandemic, they were able to bring things up and, you know, very short amount of time to solve, um, a big challenge of not having the call center be flooded and have a different way to direct that engagement between the citizen and the government. >>So really building a different type of channel for them to engage rather than having to call or to come into an office, which wasn't really allowed in terms of, um, the pandemic. Um, the other thing I'll touch on is, um, 10 mentioned, you know, the backlog of applications that are coming in and we're starting to see the, um, the increase in automation. How do we automate areas where it's administratively highly burdened, but it's really a way that we can start to automate those processes, to give our workers the ability to focus on more of those complex situations that really need attention. So we're starting to see where the trends of trying to push there of can we automate some of those processes, um, uh, uploading documents and verification documents is another way of like, trying to look at, is there a way that we can make that easier? >>Not only for the applicant that's applying, but also for the caseworker. So there's not having to go through that. Um, does the name match, um, the applicant, uh, information and what we're looking on here, and Bob, you mentioned cloud. So behind the scenes of, you know, why, uh, government agencies are really pushing the cloud is, um, you heard about, I mean, with the pandemic, you see a surge of applicants coming in for those benefits and how do we scale for that kind of demand and how do you do that in an inappropriate way, without the huge pressures that you put on to your data center or your staff who's already trying to help our citizens and applicants, applicants, and families get the benefits they need. And so the cloud, um, you know, proposition of trying, being able to be scalable and elastic is really a key driver that we've seen in terms of, uh, uh, government agencies going to cloud. >>We haven't really seen during a pandemic, the core competencies, some of them moving those to cloud, it's really been around that digital front end, the chat bot area of how do we start to really start with that from a cloud perspective and cloud journey, and then start to work in the other processes and other areas. Um, security is also huge, uh, focus right now with the pandemic and everything going online. And with cloud allows you to be able to make sure that you're secure and be able to apply the right security so that you're always covered in terms of the type of demand and, um, impact, uh, that is coming through >>Very helpful. Tim, I'm going to ask to follow up on this of a practical nature. So you brought this up very quickly. Uh, there's a certain amount of suspicion around state government County government about chatbots. How did you get a chat much and be functional so quickly? And were you able to leverage the cloud in this process? Yeah, so on the trust is important. Uh, and I'll go back to my previous statement about individuals being able to see upfront whether they believe they're eligible or not, because nothing will erode trust more than having someone in hours applying and weeks waiting to find out they were denied because they weren't eligible to begin with, uh, that erodes trust. So being able to let folks know right up front, here's what it looks like to be eligible, actually help us build some of that, uh, cause they don't feel like, uh, someone in the bureaucracy is just putting them through the ringer for no reason. >>Um, now in regard to how do we get the chat bot out? I will say, uh, we have a, uh, dynamic it and leadership, uh, team at the highest level of County government who we have been already having conversations over the last year about what it meant to be smart government, uh, the department of social service and family services that I'm responsible for. We're already, uh, hands up first in line, you know, Guinea pigs volunteering to be on the front end of, uh, certain projects. So w we have primed ourselves for, for some of this readiness in that aspect. Um, but for citizen trust, um, the timeliness of application right now is the biggest element of trust. Uh, so I've applied I've I feel like I put my housing future in your hands. Are you going to deliver and having the ability for us to rapidly scale up? >>Uh, we typically have 120 staff in the department of social service that, that are adjudicating benefits for programs on daily basis. We've doubled that with temporary staff, uh, through some partnerships, uh, we're, we're gonna, as of next week, probably have more temporary per professional staff helping an adjudicator applications. No, do full-time County staff, because again, this rush to get the dollars out, out the door. So having a system where I can easily, uh, ramp on new users and manage them without having to be solely dependent upon an already, uh, overworked it staff who were trying to support 37 other departments in the County, um, around infrastructure needs has been greatly helpful. Sounds to me like a strong outcome focus and one that seems to work. Let's move on now to our audience questions. We're getting close to the end of our time. So let's jump into some questions from the audience. A number of you have been asking about getting copies of today's presentation within the next 48 hours. Government technology will provide all attendees with the link to the recording for your reference, or to share with colleagues. Well, let's go to our first question. So this is an interesting one. And Karen, this is for you did IBM work with other counties and States to provide digital engagement portals. >>We did Bob, uh, we've worked, um, so globally we've provided guidance on this. We work closely with New York city. They've been the integral part of the development also with our citizen engagement offering. Um, we work closely with the States. So we worked with New York city. Um, North Carolina was also another state who, um, improved their, uh, citizen engagement piece, bring up their Medicaid and snap, um, applications along with Medicaid. COVID testing along that. And I mentioned, um, the economic and social development in Canada as well. And we also work with the ministry of social development in Singapore. So a number of our customers had put up, uh, a global, uh, or sorry, a citizen engagement frontend. And during this timeframe, >>Very helpful. I don't know how much did you hear your mom provide you, but how much did it cost for initial deployment and what are the ongoing costs in other words, is this thing going to be sustainable over time? >>Yeah, absolutely. So total, uh, to date, we've spent about a $1.8 million on development implementations and licensure. A big chunk of that again has been the rapid extended of licensure, uh, for this program. Um, I think over a third of that is probably licensing because again, we need to get the dollars out and we need staff to do that and making the short term several hundred thousand dollar investment in a professional support staff and having them be able to work this portal is much cheaper than the long-term investment of bringing on a staff, printing a job, uh, during a financial difficulty that we're facing, uh, the single largest fiscal cliff let's get into that us history. Um, so it's not smart to create jobs that have a 30 year, one way to retirement, uh, inside our in unionized government environment here. So having this, the staff that would come on and do this and get out the door on these federal dollars was critical for us. Um, and there is a $800,000 a year, I believe so ongoing costs associated with licensure and, and the programming support. Uh, but once again, we're going to be moving, um, our traditional services into this digital front end. We'll be continuing this because we're, we're, we're facing, it took us, I think, six and a half, seven years to come back from the previous recession. Undoubtedly, take a little longer to get back >>From this one. Here's another interesting question, I guess really primarily Tim Tim was the solution on primarily on premise or in the cloud. >>So we'll, we've done a mix. Uh, the, and I'm starting a lot of feedbacks. I don't know if you all can hear that or not, but the, uh, I think we went on prem for, uh, some people because of the, uh, bridge into our service case manager system, which is on prem. So we did some management there. I do believe the chat bot piece of it though is in the cloud. So we're bringing it down to, from one system to the other. Uh, and, and part of that was a student negotiations and costs and worrying about what long-term is that we have a very stated goal of moving, uh, our Curam platform, which is on-prem, this is the backend. So how are we? We, we set our IBM Watson, uh, portal up, uh, and moving all of that on cloud, uh, because I mean, we've got, uh, a workforce who, uh, has the ability to retire at a very high rate over the next five years. >>And, uh, having 24 seven support in the cloud is, is as a, someone who would be called to respond to emergency situations like the is, is a much better Cod deal for, for myself and the citizen. So migrating, uh, and, um, our typical on-prem stuff up into the cloud, uh, as we continue on this, uh, evolution of what IBM Watson, uh, and the plug into our Curam, uh, system looks like Karen related question for another user is the portal provided with Clara County and others linked to other third-party backend office apps, or can it be, >>Yeah, the answer is it can be it's interoperable. So through APIs, uh, rest, uh, however, um, assistance that they need to be integrated with can definitely be integrated with, uh, like, uh, Tim mentioned, we, we went to the case management solution, but it can be integrated with other applications as well. >>Tim, did you use some other backend third party apps with yours? Uh, we did not. Uh, again, just for speed of getting, uh, this MVP solution out the door. Uh, now what we do with that on the go forward, it is going to look different and probably will include some, another practical question. Given the cares funding should be expended by December. Can this application even be employed at this late date? And you want to take a cut at that? Yeah, for us, uh, once again, we brought up earlier, um, the emergency solutions grants and the community development block grants, which have a Corona virus, uh, CV traunch, each one of those, and those have two to three year expenditure timeframes on them. Uh, so we were going to leverage those to keep this system and some of these programs going once again, that the housing needs, uh, will outstrip our capacity for years to come. >>I guess probably I should have said upfront Las Vegas has one of the worst affordable housing inventories in the nation. Uh, so we know we're going to be facing a housing issue, um, because of this for, for a long time. So we'll be using those two traunches of dollars, ESE, ESPs, uh, CV CDBG, CB funds, uh, in addition to dollars earmarked through some, uh, recreational marijuana license fees that have been dedicated to our homelessness. And when you consider this housing, uh, stability program was part of that homelessness prevention. That's our funding mix locally. Very helpful. So questions maybe for bolts for you on this one, you can probably also teach respond is the system has been set up helping the small business community. Um, this user's been canvassing and the general feeling is that small businesses have been left behind and they've been unable to access funds. What's your response on that? Karen, do you want to take that first? >>Um, yes. So in terms of, uh, the security and sorry. Um, but, uh, can you repeat the last part of that? I just missed the last part when you >>Behind it, but unable to access funds. >>Uh, yeah, so I think from a funding perspective, there's different types of, I think what Tim mentioned in terms of the cares funding, there was different types of funding that came out from a government perspective. Uh, I think there were also other grants and things that are coming out one, uh, that we're still looking at. And I think as we go into the new year, it'll be interesting to see, you know, what additional funding, um, hopefully is, is provided. Uh, but in terms of creativity, we've seen other creative ways that organizations come together to kind of, uh, help with the different agencies, to provide some, some guidance to the community, um, and helping to, uh, provide efforts and, uh, maybe looking at different ways of, um, providing, uh, some of the capabilities that the, either at the County or at the state level that they're able to leverage. But Tim happy to maybe have you chime in here too. >>Yeah. So I'll first start with my wheelhouse and I'll expand out to, to some of my partners. Uh, so the primary, small business, we knew the idea was a daily basis inside this realm is going to be landlords. Uh, so actually this afternoon, we're doing a town hall with folks to be able to roll out, uh, which they will go to our portal to find a corporate landlord program. Uh, so that I seem a landlord for Camille the application pack and on behalf of a hundred residents, rather than us having to adjudicate a hundred individual applications and melon a hundred checks. Uh, so that is because we were listening to that particular segment of the, uh, the business community. Now I know early on, we were, we were really hoping that the, the paycheck protection program federally would have, uh, been dispersed in a way that helped our local small businesses. >>Uh, more we did a, our economic development team did a round of small business supports through our cares act. Uh, our quarterly unfortunate was not open yet. It was just about 15, 20 days shy. So we use, uh, another traditional grant mechanism that we have in place to dedicate that. Uh, but on a go forward board, willing to Congress passes something over the next 30 days, um, that if there's a round two of cares or some other programs, we absolutely now have a tool that we know we can create a digital opening for individuals to come figure out if they're eligible or not for whatever program it is, the it housing, the it, uh, small business operations supports, uh, and it would apply through that process and in a very lightweight, so we're looking forward to how we can expand our footprint to help all of the needs that are present in our community. This leads to another question which may be our last one, but this is an interesting question. How can agencies use COVID-19 as a proof point providing a low cost configurable solutions that can scale across government. Karen, do you want to respond to that? And then Tim also, >>Thanks, Bob. So I believe like, you know, some of the things that we've said in terms of examples of how we were able to bring up the solution quicker, I definitely see that scaling as you go forward and trying to really, um, focus in on the needs and getting that MVP out the door. Uh, and then Tim alluded to this as well. A lot of the change management processes that went into re-imagining what these processes look like. I definitely see a additional, you know, growth mindset of how do we get better processes in place, or really focusing on the core processes so that we can really move the ball forward and continuing to go that path of delivering on a quicker path, uh, leveraging cloud, as we mentioned of, um, some, some of the capabilities around the chat bot and other things to really start to push, um, uh, the capabilities out to those citizens quicker and really reduce that timeline that we have to take on the backend side, um, that that would be our hope and goal, um, given, you know, sort of what we've been able to accomplish and hoping using that as a proof point of how we can do this for other types of, uh, either programs or other processes. >>Yeah, I think, um, the, you know, the tool has given us capability now there, whether we use local leaders leverage that to the fullest really becomes a coming upon us. So do we take a beat, uh, when we can catch our breath and then, you know, work through our executive leadership to say, look, here's all the ways you can use this tool. You've made an enterprise investment in. Um, and I know for us, uh, at Clark County, we've stood up, uh, enterprise, uh, kind of governance team where we can come and talk through all of our enterprise solutions, uh, encourage our other department head peers, uh, to, to examine how you might be able to use this. Is there a way that, um, you know, parks and rec might use this to better access their scholarship programs to make sure that children get into youth sports leagues and don't get left out, uh, because we know youth suicide on the rise and they need something positive to do when this pandemic is clear, I'm there for them to get out and do those things. >>So the possibilities really are out there. It really becomes, um, how do we mind those internally? And I know that being a part of listservs and, uh, you know, gov tech and all the magazines and things are out there to help us think about how do we better use our solutions, um, as well as our IBM partners who are always eager to say, Hey, have you seen how they're using this? Um, it is important for us to continue to keep our imaginations open, um, so that we continue to iterate through this process. Um, cause I, I would hate to see the culture of, um, iteration go away with this pandemic. >>Okay. We have time for one final question. We've already addressed this in part two, and this one is probably for you and that you've used the cares act to eliminate some of the procurement red tape that's shown up. Well, how do you somehow that's been very positive. How do you see that impacting you going forward? What happens when the red tape all comes back? >>Yeah, so I think I mentioned a little bit, uh, about that when some of the folks who are deemed non essential came back during our reopening phases and they're operating at the speed of prior business and red tape where we had all been on this, these green tape, fast tracks, uh, it, it was a bit of a organizational whiplash. Uh, but it, for us, we've had the conversation with executive management of like, we cannot let this get in the way of what our citizens need. So like keep that pressure on our folks to think differently. Don't and, uh, we've gone so far as to, uh, even, uh, maybe take it a step further and investigate what had been done in, in, in Canada. Some other places around, um, like, like going right from in a 48 hour period, going from a procurement statement through a proof of concept and doing purchasing on the backside, like how can we even get this even more streamlined so that we can get the things we need quickly, uh, because the citizens don't understand, wait, we're doing our best, uh, your number 3000 and queue on the phone line that that's not what they need to hear or want to hear during times of crisis. >>Very helpful. Well, I want to be respectful of our one hour commitment, so we'll have to wrap it up here in closing. I want to thank everyone for joining us for today's event and especially a big, thank you goes to Karen and Tim. You've done a really great job of answering a lot of questions and laying this out for us and a special thanks to our partners at IBM for enabling us to bring this worthwhile discussion to our audience. Thanks once again, and we look forward to seeing you at another government technology event,

>>Yeah, yeah. >>Welcome back. I'm so excited to introduce our next session empowerment through inclusion, reimagining society and technology. This is a topic that's personally very near and dear to my heart. Did you know that there's only 2% of Latinas in technology as a Latina? I know that there's so much more we could do collectively to improve these gaps and diversity. I thought spot diversity is considered a critical element across all levels of the organization. The data shows countless times. A diverse and inclusive workforce ultimately drives innovation better performance and keeps your employees happier. That's why we're passionate about contributing to this conversation and also partnering with organizations that share our mission of improving diversity across our communities. Last beyond, we hosted the session during a breakfast and we packed the whole room. This year, we're bringing the conversation to the forefront to emphasize the importance of diversity and data and share the positive ramifications that it has for your organization. Joining us for this session are thought spots Chief Data Strategy Officer Cindy Housing and Ruhollah Benjamin, associate professor of African American Studies at Princeton University. Thank you, Paola. So many >>of you have journeyed with me for years now on our efforts to improve diversity and inclusion in the data and analytic space. And >>I would say >>over time we cautiously started commiserating, eventually sharing best practices to make ourselves and our companies better. And I do consider it a milestone. Last year, as Paola mentioned that half the room was filled with our male allies. But I remember one of our Panelists, Natalie Longhurst from Vodafone, suggesting that we move it from a side hallway conversation, early morning breakfast to the main stage. And I >>think it was >>Bill Zang from a I G in Japan. Who said Yes, please. Everyone else agreed, but more than a main stage topic, I want to ask you to think about inclusion beyond your role beyond your company toe. How Data and analytics can be used to impact inclusion and equity for the society as a whole. Are we using data to reveal patterns or to perpetuate problems leading Tobias at scale? You are the experts, the change agents, the leaders that can prevent this. I am thrilled to introduce you to the leading authority on this topic, Rou Ha Benjamin, associate professor of African studies at Princeton University and author of Multiple Books. The Latest Race After Technology. Rou ha Welcome. >>Thank you. Thank you so much for having me. I'm thrilled to be in conversation with you today, and I thought I would just kick things off with some opening reflections on this really important session theme. And then we could jump into discussion. So I'd like us to as a starting point, um, wrestle with these buzzwords, empowerment and inclusion so that we can have them be more than kind of big platitudes and really have them reflected in our workplace cultures and the things that we design in the technologies that we put out into the world. And so to do that, I think we have to move beyond techno determinism, and I'll explain what that means in just a minute. Techno determinism comes in two forms. The first, on your left is the idea that technology automation, um, all of these emerging trends are going to harm us, are going to necessarily harm humanity. They're going to take all the jobs they're going to remove human agency. This is what we might call the techno dystopian version of the story and this is what Hollywood loves to sell us in the form of movies like The Matrix or Terminator. The other version on your right is the techno utopian story that technologies automation. The robots as a shorthand, are going to save humanity. They're gonna make everything more efficient, more equitable. And in this case, on the surface, he seemed like opposing narratives right there, telling us different stories. At least they have different endpoints. But when you pull back the screen and look a little bit more closely, you see that they share an underlying logic that technology is in the driver's seat and that human beings that social society can just respond to what's happening. But we don't really have a say in what technologies air designed and so to move beyond techno determinism the notion that technology is in the driver's seat. We have to put the human agents and agencies back into the story, the protagonists, and think carefully about what the human desires worldviews, values, assumptions are that animate the production of technology. And so we have to put the humans behind the screen back into view. And so that's a very first step and when we do that, we see, as was already mentioned, that it's a very homogeneous group right now in terms of who gets the power and the resource is to produce the digital and physical infrastructure that everyone else has to live with. And so, as a first step, we need to think about how to create more participation of those who are working behind the scenes to design technology now to dig a little more a deeper into this, I want to offer a kind of low tech example before we get to the more hi tech ones. So what you see in front of you here is a simple park bench public bench. It's located in Berkeley, California, which is where I went to graduate school and on this particular visit I was living in Boston, and so I was back in California. It was February. It was freezing where I was coming from, and so I wanted to take a few minutes in between meetings to just lay out in the sun and soak in some vitamin D, and I quickly realized, actually, I couldn't lay down on this bench because of the way it had been designed with these arm rests at intermittent intervals. And so here I thought. Okay, the the armrest have, ah functional reason why they're there. I mean, you could literally rest your elbows there or, um, you know, it can create a little bit of privacy of someone sitting there that you don't know. When I was nine months pregnant, it could help me get up and down or for the elderly, the same thing. So it has a lot of functional reasons, but I also thought about the fact that it prevents people who are homeless from sleeping on the bench. And this is the Bay area that we were talking about where, in fact, the tech boom has gone hand in hand with a housing crisis. Those things have grown in tandem. So innovation has grown within equity because we haven't thought carefully about how to address the social context in which technology grows and blossoms. And so I thought, Okay, this crisis is growing in this area, and so perhaps this is a deliberate attempt to make sure that people don't sleep on the benches by the way that they're designed and where the where they're implemented and So this is what we might call structural inequity. By the way something is designed. It has certain effects that exclude or harm different people. And so it may not necessarily be the intense, but that's the effect. And I did a little digging, and I found, in fact, it's a global phenomenon, this thing that architects called hostile architecture. Er, I found single occupancy benches in Helsinki, so only one booty at a time no laying down there. I found caged benches in France. And in this particular town. What's interesting here is that the mayor put these benches out in this little shopping plaza, and within 24 hours the people in the town rallied together and had them removed. So we see here that just because we have, uh, discriminatory design in our public space doesn't mean we have to live with it. We can actually work together to ensure that our public space reflects our better values. But I think my favorite example of all is the meter bench. In this case, this bench is designed with spikes in them, and to get the spikes to retreat into the bench, you have to feed the meter you have to put some coins in, and I think it buys you about 15 or 20 minutes. Then the spikes come back up. And so you'll be happy to know that in this case, this was designed by a German artists to get people to think critically about issues of design, not just the design of physical space but the design of all kinds of things, public policies. And so we can think about how our public life in general is metered, that it serves those that can pay the price and others are excluded or harm, whether we're talking about education or health care. And the meter bench also presents something interesting. For those of us who care about technology, it creates a technical fix for a social problem. In fact, it started out his art. But some municipalities in different parts of the world have actually adopted this in their public spaces in their parks in order to deter so called lawyers from using that space. And so, by a technical fix, we mean something that creates a short term effect, right. It gets people who may want to sleep on it out of sight. They're unable to use it, but it doesn't address the underlying problems that create that need to sleep outside in the first place. And so, in addition to techno determinism, we have to think critically about technical fixes that don't address the underlying issues that technology is meant to solve. And so this is part of a broader issue of discriminatory design, and we can apply the bench metaphor to all kinds of things that we work with or that we create. And the question we really have to continuously ask ourselves is, What values are we building in to the physical and digital infrastructures around us? What are the spikes that we may unwittingly put into place? Or perhaps we didn't create the spikes. Perhaps we started a new job or a new position, and someone hands us something. This is the way things have always been done. So we inherit the spike bench. What is our responsibility when we noticed that it's creating these kinds of harms or exclusions or technical fixes that are bypassing the underlying problem? What is our responsibility? All of this came to a head in the context of financial technologies. I don't know how many of you remember these high profile cases of tech insiders and CEOs who applied for Apple, the Apple card and, in one case, a husband and wife applied and the husband, the husband received a much higher limit almost 20 times the limit as his wife, even though they shared bank accounts, they lived in Common Law State. And so the question. There was not only the fact that the husband was receiving a much better interest rate and the limit, but also that there was no mechanism for the individuals involved to dispute what was happening. They didn't even know what the factors were that they were being judged that was creating this form of discrimination. So in terms of financial technologies, it's not simply the outcome that's the issue. Or that could be discriminatory, but the process that black boxes, all of the decision making that makes it so that consumers and the general public have no way to question it. No way to understand how they're being judged adversely, and so it's the process not only the product that we have to care a lot about. And so the case of the apple cart is part of a much broader phenomenon of, um, racist and sexist robots. This is how the headlines framed it a few years ago, and I was so interested in this framing because there was a first wave of stories that seemed to be shocked at the prospect that technology is not neutral. Then there was a second wave of stories that seemed less surprised. Well, of course, technology inherits its creator's biases. And now I think we've entered a phase of attempts to override and address the default settings of so called racist and sexist robots, for better or worse. And here robots is just a kind of shorthand, that the way people are talking about automation and emerging technologies more broadly. And so as I was encountering these headlines, I was thinking about how these air, not problems simply brought on by machine learning or AI. They're not all brand new, and so I wanted to contribute to the conversation, a kind of larger context and a longer history for us to think carefully about the social dimensions of technology. And so I developed a concept called the New Jim Code, which plays on the phrase Jim Crow, which is the way that the regime of white supremacy and inequality in this country was defined in a previous era, and I wanted us to think about how that legacy continues to haunt the present, how we might be coding bias into emerging technologies and the danger being that we imagine those technologies to be objective. And so this gives us a language to be able to name this phenomenon so that we can address it and change it under this larger umbrella of the new Jim Code are four distinct ways that this phenomenon takes shape from the more obvious engineered inequity. Those were the kinds of inequalities tech mediated inequalities that we can generally see coming. They're kind of obvious. But then we go down the line and we see it becomes harder to detect. It's happening in our own backyards. It's happening around us, and we don't really have a view into the black box, and so it becomes more insidious. And so in the remaining couple minutes, I'm just just going to give you a taste of the last three of these, and then a move towards conclusion that we can start chatting. So when it comes to default discrimination. This is the way that social inequalities become embedded in emerging technologies because designers of these technologies aren't thinking carefully about history and sociology. Ah, great example of this came Thio headlines last fall when it was found that widely used healthcare algorithm affecting millions of patients, um, was discriminating against black patients. And so what's especially important to note here is that this algorithm healthcare algorithm does not explicitly take note of race. That is to say, it is race neutral by using cost to predict healthcare needs. This digital triaging system unwittingly reproduces health disparities because, on average, black people have incurred fewer costs for a variety of reasons, including structural inequality. So in my review of this study by Obermeyer and colleagues, I want to draw attention to how indifference to social reality can be even more harmful than malicious intent. It doesn't have to be the intent of the designers to create this effect, and so we have to look carefully at how indifference is operating and how race neutrality can be a deadly force. When we move on to the next iteration of the new Jim code coded exposure, there's attention because on the one hand, you see this image where the darker skin individual is not being detected by the facial recognition system, right on the camera or on the computer. And so coated exposure names this tension between wanting to be seen and included and recognized, whether it's in facial recognition or in recommendation systems or in tailored advertising. But the opposite of that, the tension is with when you're over included. When you're surveiled when you're to centered. And so we should note that it's not simply in being left out, that's the problem. But it's in being included in harmful ways. And so I want us to think carefully about the rhetoric of inclusion and understand that inclusion is not simply an end point. It's a process, and it is possible to include people in harmful processes. And so we want to ensure that the process is not harmful for it to really be effective. The last iteration of the new Jim Code. That means the the most insidious, let's say, is technologies that are touted as helping US address bias, so they're not simply including people, but they're actively working to address bias. And so in this case, There are a lot of different companies that are using AI to hire, create hiring software and hiring algorithms, including this one higher view. And the idea is that there there's a lot that AI can keep track of that human beings might miss. And so so the software can make data driven talent decisions. After all, the problem of employment discrimination is widespread and well documented. So the logic goes, Wouldn't this be even more reason to outsource decisions to AI? Well, let's think about this carefully. And this is the look of the idea of techno benevolence trying to do good without fully reckoning with what? How technology can reproduce inequalities. So some colleagues of mine at Princeton, um, tested a natural learning processing algorithm and was looking to see whether it exhibited the same, um, tendencies that psychologists have documented among humans. E. And what they found was that in fact, the algorithm associating black names with negative words and white names with pleasant sounding words. And so this particular audit builds on a classic study done around 2003, before all of the emerging technologies were on the scene where two University of Chicago economists sent out thousands of resumes to employers in Boston and Chicago, and all they did was change the names on those resumes. All of the other work history education were the same, and then they waited to see who would get called back. And the applicants, the fictional applicants with white sounding names received 50% more callbacks than the black applicants. So if you're presented with that study, you might be tempted to say, Well, let's let technology handle it since humans are so biased. But my colleagues here in computer science found that this natural language processing algorithm actually reproduced those same associations with black and white names. So, too, with gender coded words and names Amazon learned a couple years ago when its own hiring algorithm was found discriminating against women. Nevertheless, it should be clear by now why technical fixes that claim to bypass human biases are so desirable. If Onley there was a way to slay centuries of racist and sexist demons with a social justice box beyond desirable, more like magical, magical for employers, perhaps looking to streamline the grueling work of recruitment but a curse from any jobseekers, as this headline puts it, your next interview could be with a racist spot, bringing us back to that problem space we started with just a few minutes ago. So it's worth noting that job seekers are already developing ways to subvert the system by trading answers to employers test and creating fake applications as informal audits of their own. In terms of a more collective response, there's a federation of European Trade unions call you and I Global that's developed a charter of digital rights for work, others that touches on automated and a I based decisions to be included in bargaining agreements. And so this is one of many efforts to change their ecosystem to change the context in which technology is being deployed to ensure more protections and more rights for everyday people in the US There's the algorithmic accountability bill that's been presented, and it's one effort to create some more protections around this ubiquity of automated decisions, and I think we should all be calling from more public accountability when it comes to the widespread use of automated decisions. Another development that keeps me somewhat hopeful is that tech workers themselves are increasingly speaking out against the most egregious forms of corporate collusion with state sanctioned racism. And to get a taste of that, I encourage you to check out the hashtag Tech won't build it. Among other statements that they have made and walking out and petitioning their companies. Who one group said, as the people who build the technologies that Microsoft profits from, we refuse to be complicit in terms of education, which is my own ground zero. Um, it's a place where we can we can grow a more historically and socially literate approach to tech design. And this is just one, um, resource that you all can download, Um, by developed by some wonderful colleagues at the Data and Society Research Institute in New York and the goal of this interventionist threefold to develop an intellectual understanding of how structural racism operates and algorithms, social media platforms and technologies, not yet developed and emotional intelligence concerning how to resolve racially stressful situations within organizations, and a commitment to take action to reduce harms to communities of color. And so as a final way to think about why these things are so important, I want to offer a couple last provocations. The first is for us to think a new about what actually is deep learning when it comes to computation. I want to suggest that computational depth when it comes to a I systems without historical or social depth, is actually superficial learning. And so we need to have a much more interdisciplinary, integrated approach to knowledge production and to observing and understanding patterns that don't simply rely on one discipline in order to map reality. The last provocation is this. If, as I suggested at the start, inequity is woven into the very fabric of our society, it's built into the design of our. Our policies are physical infrastructures and now even our digital infrastructures. That means that each twist, coil and code is a chance for us toe. We've new patterns, practices and politics. The vastness of the problems that we're up against will be their undoing. Once we accept that we're pattern makers. So what does that look like? It looks like refusing color blindness as an anecdote to tech media discrimination rather than refusing to see difference. Let's take stock of how the training data and the models that we're creating have these built in decisions from the past that have often been discriminatory. It means actually thinking about the underside of inclusion, which can be targeting. And how do we create a more participatory rather than predatory form of inclusion? And ultimately, it also means owning our own power in these systems so that we can change the patterns of the past. If we're if we inherit a spiked bench, that doesn't mean that we need to continue using it. We can work together to design more just and equitable technologies. So with that, I look forward to our conversation. >>Thank you, Ruth. Ha. That was I expected it to be amazing, as I have been devouring your book in the last few weeks. So I knew that would be impactful. I know we will never think about park benches again. How it's art. And you laid down the gauntlet. Oh, my goodness. That tech won't build it. Well, I would say if the thoughts about team has any saying that we absolutely will build it and will continue toe educate ourselves. So you made a few points that it doesn't matter if it was intentional or not. So unintentional has as big an impact. Um, how do we address that does it just start with awareness building or how do we address that? >>Yeah, so it's important. I mean, it's important. I have good intentions. And so, by saying that intentions are not the end, all be all. It doesn't mean that we're throwing intentions out. But it is saying that there's so many things that happened in the world, happened unwittingly without someone sitting down to to make it good or bad. And so this goes on both ends. The analogy that I often use is if I'm parked outside and I see someone, you know breaking into my car, I don't run out there and say Now, do you feel Do you feel in your heart that you're a thief? Do you intend to be a thief? I don't go and grill their identity or their intention. Thio harm me, but I look at the effect of their actions, and so in terms of art, the teams that we work on, I think one of the things that we can do again is to have a range of perspectives around the table that can think ahead like chess, about how things might play out, but also once we've sort of created something and it's, you know, it's entered into, you know, the world. We need to have, ah, regular audits and check ins to see when it's going off track just because we intended to do good and set it out when it goes sideways, we need mechanisms, formal mechanisms that actually are built into the process that can get it back on track or even remove it entirely if we find And we see that with different products, right that get re called. And so we need that to be formalized rather than putting the burden on the people that are using these things toe have to raise the awareness or have to come to us like with the apple card, Right? To say this thing is not fair. Why don't we have that built into the process to begin with? >>Yeah, so a couple things. So my dad used to say the road to hell is paved with good intentions, so that's >>yes on. In fact, in the book, I say the road to hell is paved with technical fixes. So they're me and your dad are on the same page, >>and I I love your point about bringing different perspectives. And I often say this is why diversity is not just about business benefits. It's your best recipe for for identifying the early biases in the data sets in the way we build things. And yet it's such a thorny problem to address bringing new people in from tech. So in the absence of that, what do we do? Is it the outside review boards? Or do you think regulation is the best bet as you mentioned a >>few? Yeah, yeah, we need really need a combination of things. I mean, we need So on the one hand, we need something like a do no harm, um, ethos. So with that we see in medicine so that it becomes part of the fabric and the culture of organizations that that those values, the social values, have equal or more weight than the other kinds of economic imperatives. Right. So we have toe have a reckoning in house, but we can't leave it to people who are designing and have a vested interest in getting things to market to regulate themselves. We also need independent accountability. So we need a combination of this and going back just to your point about just thinking about like, the diversity on teams. One really cautionary example comes to mind from last fall, when Google's New Pixel four phone was about to come out and it had a kind of facial recognition component to it that you could open the phone and they had been following this research that shows that facial recognition systems don't work as well on darker skin individuals, right? And so they wanted Thio get a head start. They wanted to prevent that, right? So they had good intentions. They didn't want their phone toe block out darker skin, you know, users from from using it. And so what they did was they were trying to diversify their training data so that the system would work better and they hired contract workers, and they told these contract workers to engage black people, tell them to use the phone play with, you know, some kind of app, take a selfie so that their faces would populate that the training set, But they didn't. They did not tell the people what their faces were gonna be used for, so they withheld some information. They didn't tell them. It was being used for the spatial recognition system, and the contract workers went to the media and said Something's not right. Why are we being told? Withhold information? And in fact, they told them, going back to the park bench example. To give people who are homeless $5 gift cards to play with the phone and get their images in this. And so this all came to light and Google withdrew this research and this process because it was so in line with a long history of using marginalized, most vulnerable people and populations to make technologies better when those technologies are likely going toe, harm them in terms of surveillance and other things. And so I think I bring this up here to go back to our question of how the composition of teams might help address this. I think often about who is in that room making that decision about sending, creating this process of the contract workers and who the selfies and so on. Perhaps it was a racially homogeneous group where people didn't want really sensitive to how this could be experienced or seen, but maybe it was a diverse, racially diverse group and perhaps the history of harm when it comes to science and technology. Maybe they didn't have that disciplinary knowledge. And so it could also be a function of what people knew in the room, how they could do that chest in their head and think how this is gonna play out. It's not gonna play out very well. And the last thing is that maybe there was disciplinary diversity. Maybe there was racial ethnic diversity, but maybe the workplace culture made it to those people. Didn't feel like they could speak up right so you could have all the diversity in the world. But if you don't create a context in which people who have those insights feel like they can speak up and be respected and heard, then you're basically sitting on a reservoir of resource is and you're not tapping into it to ensure T to do right by your company. And so it's one of those cautionary tales I think that we can all learn from to try to create an environment where we can elicit those insights from our team and our and our coworkers, >>your point about the culture. This is really inclusion very different from just diversity and thought. Eso I like to end on a hopeful note. A prescriptive note. You have some of the most influential data and analytics leaders and experts attending virtually here. So if you imagine the way we use data and housing is a great example, mortgage lending has not been equitable for African Americans in particular. But if you imagine the right way to use data, what is the future hold when we've gotten better at this? More aware >>of this? Thank you for that question on DSO. You know, there's a few things that come to mind for me one. And I think mortgage environment is really the perfect sort of context in which to think through the the both. The problem where the solutions may lie. One of the most powerful ways I see data being used by different organizations and groups is to shine a light on the past and ongoing inequities. And so oftentimes, when people see the bias, let's say when it came to like the the hiring algorithm or the language out, they see the names associated with negative or positive words that tends toe have, ah, bigger impact because they think well, Wow, The technology is reflecting these biases. It really must be true. Never mind that people might have been raising the issues in other ways before. But I think one of the most powerful ways we can use data and technology is as a mirror onto existing forms of inequality That then can motivate us to try to address those things. The caution is that we cannot just address those once we come to grips with the problem, the solution is not simply going to be a technical solution. And so we have to understand both the promise of data and the limits of data. So when it comes to, let's say, a software program, let's say Ah, hiring algorithm that now is trained toe look for diversity as opposed to homogeneity and say I get hired through one of those algorithms in a new workplace. I can get through the door and be hired. But if nothing else about that workplace has changed and on a day to day basis I'm still experiencing microaggressions. I'm still experiencing all kinds of issues. Then that technology just gave me access to ah harmful environment, you see, and so this is the idea that we can't simply expect the technology to solve all of our problems. We have to do the hard work. And so I would encourage everyone listening to both except the promise of these tools, but really crucially, um, Thio, understand that the rial kinds of changes that we need to make are gonna be messy. They're not gonna be quick fixes. If you think about how long it took our society to create the kinds of inequities that that we now it lived with, we should expect to do our part, do the work and pass the baton. We're not going to magically like Fairy does create a wonderful algorithm that's gonna help us bypass these issues. It can expose them. But then it's up to us to actually do the hard work of changing our social relations are changing the culture of not just our workplaces but our schools. Our healthcare systems are neighborhoods so that they reflect our better values. >>Yeah. Ha. So beautifully said I think all of us are willing to do the hard work. And I like your point about using it is a mirror and thought spot. We like to say a fact driven world is a better world. It can give us that transparency. So on behalf of everyone, thank you so much for your passion for your hard work and for talking to us. >>Thank you, Cindy. Thank you so much for inviting me. Hey, I live back to you. >>Thank you, Cindy and rou ha. For this fascinating exploration of our society and technology, we're just about ready to move on to our final session of the day. So make sure to tune in for this customer case study session with executives from Sienna and Accenture on driving digital transformation with certain AI.

>>welcome back. And thanks for joining us for our second session. External data, your new leading indicators. We'll be hearing from industry leaders as they share best practices and challenges in leveraging external data. This panel will be a true conversation on the part of the possible. All right, let's get to >>it >>today. We're excited to be joined by thought spots. Chief Data Strategy Officer Cindy Housing Deloitte's chief data officer Manteo, the founder and CEO of Eagle Alfa. And it Kilduff and Snowflakes, VP of data marketplace and customer product strategy. Matt Glickman. Cindy. Without further ado, the floor is yours. >>Thank you, Mallory. And I am thrilled to have this brilliant team joining us from around the world. And they really bring each a very unique perspective. So I'm going to start from further away. Emmett, Welcome. Where you joining us from? >>Thanks for having us, Cindy. I'm joining from Dublin, Ireland, >>great. And and tell us a little bit about Eagle Alfa. What do you dio >>from a company's perspective? Think of Eagle Alfa as an aggregator off all the external data sets on a word I'll use a few times. Today is a big advantage we could bring companies is we have a data concierge service. There's so much data we can help identify the right data sets depending on the specific needs of the company. >>Yeah. And so, Emma, you know, people think I was a little I kind of shocked the industry. Going from gardener to a tech startup. Um, you have had a brave journey as well, Going from financial services to starting this company, really pioneering it with I think the most data sets of any of thes is that right? >>Yes, it was. It was a big jump to go from Morgan Stanley. Uh, leave the comforts of that environment Thio, PowerPoint deck and myself raising funding eight years ago s So it was a big jump on. We were very early in our market. It's in the last few years where there's been real momentum and adoption by various types of verticals. The hedge funds were first, maybe then private equity, but corporate sar are following quite quickly from behind. That will be the biggest users, in our view, by by a significant distance. >>Yeah, great. Thank um, it So we're going to go a little farther a field now, but back to the U. S. So, Juan, where you joining us from? >>Hey, Cindy. Thanks for having me. I'm joining you from Houston, Texas. >>Great. Used to be my home. Yeah, probably see Rice University back there. And you have a distinct perspective serving both Deloitte customers externally, but also internally. Can you tell us about that? >>Yeah, absolutely. So I serve as the Lord consultants, chief data officer, and as a professional service firm, I have the responsibility for overseeing our overall data agenda, which includes both the way we use data and insights to run and operate our own business, but also in how we develop data and insights services that we then take to market and how we serve our dealers and clients. >>Great. Thank you, Juan. And last but not least, Matt Glickman. Kind of in my own backyard in New York. Right, Matt? >>Correct. Joining I haven't been into the city and many months, but yes, um, based in New York. >>Okay. Great. And so, Matt, you and Emmett also, you know, brave pioneers in this space, and I'm remembering a conversation you and I shared when you were still a J. P. Morgan, I believe. And you're Goldman Sachs. Sorry. Sorry. Goldman. Can you Can you share that with us? >>Sure. I made the move back in 2015. Um, when everyone thought, you know, my wife, my wife included that I was crazy. I don't know if I would call it Comfortable was emitted, but particularly had been there for a long time on git suffered in some ways. A lot of the pains we're talking about today, given the number of data, says that the amount of of new data sets that are always demand for having run analytics teams at Goldman, seeing the pain and realizing that this pain was not unique to Goldman Sachs, it was being replicated everywhere across the industry, um, in a mind boggling way and and the fortuitous, um, luck to have one of snowflakes. Founders come to pitch snowflake to Goldman a little bit early. Um, they became a customer later, but a little bit early in 2014. And, you know, I realized that this was clearly, you know, the answer from first principles on bond. If I ever was going to leave, this was a problem. I was acutely aware of. And I also was aware of how much the man that was in financial services for a better solution and how the cloud could really solve this problem in particular the ability to not have to move data in and out of these organizations. And this was something that I saw the future of. Thank you, Andi, that this was, you know, sort of the pain that people just expected to pay. Um, this price if you need a data, there was method you had thio. You had to use you either ftp data in and out. You had data that was being, you know, dropped off and, you know, maybe in in in a new ways and cloud buckets or a P i s You have to suck all this data down and reconstruct it. And God forbid the formats change. It was, you know, a nightmare. And then having issues with data, you had a what you were seeing internally. You look nothing like what the data vendors were seeing because they want a completely different system, maybe model completely differently. Um, but this was just the way things were. Everyone had firewalls. Everyone had their own data centers. There was no other way on git was super costly. And you know this. I won't even share the the details of you know, the errors that would occur in the pain that would come from that, Um what I realized it was confirmed. What I saw it snowflake at the time was once everyone moves to run their actual workloads in this in the cloud right where you're now beyond your firewall, you'll have all this scale. But on top of that, you'll be able to point at data from these vendors were not there the traditional data vendors. Or, you know, this new wave of alternative data vendors, for example, like the ones that eagle out for brings together And bring these all these data sets together with your own internal data without moving it. Yeah, this was a fundamental shift of what you know, it's in some ways, it was a side effect of everyone moving to the cloud for costs and scale and elasticity. But as a side effect of that is what we talked about, You know it snowflake summit, you know, yesterday was this notion of a data cloud that would connect data between regions between cloud vendors between customers in a way where you could now reference data. Just like your reference websites today, I don't download CNN dot com. I point at it, and it points me to something else. I'm always seeing the latest version, obviously, and we can, you know, all collaborate on what I'm seeing on that website. That's the same thing that now can happen with data. So And I saw this as what was possible, and I distinctly asked the question, you know, the CEO of the time Is this possible? And not only was it possible it was a fundamental construct that was built into the way that snowflake was delivered. And then, lastly, this is what we learned. And I think this is what you know. M It also has been touting is that it's all great if data is out there and even if you lower that bar of access where data doesn't have to move, how do I know? Right? If I'm back to sitting at Goldman Sachs, how do I know what data is available to me now in this this you know, connected data network eso we released our data marketplace, which was a very different kind of marketplace than these of the past. Where for us, it was really like a global catalog that would elect a consumer data consumer. Noah data was available, but also level the playing field. Now we're now, you know, Eagle, Alfa, or even, you know, a new alternative data vendor build something in their in their basement can now publish that data set so that the world could see and consume and be aligned to, you know, snowflakes, core business, and not where we wouldn't have to be competing or having to take, um, any kind of custody of that data. So adding that catalog to this now ubiquitous access, um really changed the game and, you know, and then now I seem like a genius for making this move. But back then, like I said, we've seen I seem like instant. I was insane. >>Well, given, given that snowflake was the hottest aipo like ever, you were a genius. Uh, doing this, you know, six years in advance. E think we all agree on that, But, you know, a lot of this is still visionary. Um, you know, some of the most leading companies are already doing this. But one What? What is your take our Are you best in class customers still moving the data? Or is this like they're at least thinking about data monetization? What are you seeing from your perspective? >>Yeah, I mean, I did you know, the overall appreciation and understanding of you know, one. I got to get my house in order around my data, um, has something that has been, you know, understood and acted upon. Andi, I do agree that there is a shift now that says, you know, data silos alone aren't necessarily gonna bring me, you know, new and unique insights on dso enriching that with external third party data is absolutely, you know, sort of the the ship that we're seeing our customers undergo. Um, what I find extremely interesting in this space and what some of the most mature clients are doing is, you know, really taking advantage of these data marketplaces. But building data partnerships right there from what mutually exclusive, where there is a win win scenario for for you know, that organization and that could be, you know, retail customers or life science customers like with pandemic, right the way we saw companies that weren't naturally sharing information are now building these data partnership right that are going are going into mutually benefit, you know, all organizations that are sort of part of that value to Andi. I think that's the sort of really important criteria. And how we're seeing our clients that are extremely successful at this is that partnership has benefits on both sides of that equation, right? Both the data provider and then the consumer of that. And there has to be, you know, some way to ensure that both parties are are are learning right, gaining you insights to support, you know, whatever their business organization going on. >>Yeah, great one. So those data partnerships getting across the full value chain of sharing data and analytics Emmett, you work on both sides of the equation here, helping companies. Let's say let's say data providers maybe, like, you know, cast with human mobility monetize that. But then also people that are new to it. Where you seeing the top use cases? Well, >>interestingly, I agree with one of the supply side. One of the interesting trends is we're seeing a lot more data coming from large Corporates. Whether they're listed are private equity backed, as opposed to maybe data startups that are earning money just through data monetization. I think that's a great trend. I think that means a lot of the best. Data said it data is yet to come, um, in terms off the tough economy and how that's changed. I think the category that's had the most momentum and your references is Geo location data. It's that was the category at our conference in December 2000 and 12 that was pipped as the category to watch in 2019. On it didn't become that at all. Um, there were some regulatory concerns for certain types of geo data, but with with covert 19, it's Bean absolutely critical for governments, ministries of finance, central banks, municipalities, Thio crunch that data to understand what's happening in a real time basis. But from a company perspective, it's obviously critical as well. In terms of planning when customers might be back in the High Street on DSO, fourth traditionally consumer transaction data of all the 26 categories in our taxonomy has been the most popular. But Geo is definitely catching up your slide. Talked about being a tough economy. Just one point to contradict that for certain pockets of our clients, e commerce companies are having a field day, obviously, on they are very data driven and tech literate on day are they are really good client base for us because they're incredibly hungry, firm or data to help drive various, uh, decision making. >>Yeah, So fair enough. Some sectors of the economy e commerce, electron, ICS, healthcare are doing great. Others travel, hospitality, Um, super challenging. So I like your quote. The best is yet to come, >>but >>that's data sets is yet to come. And I do think the cloud is enabling that because we could get rid of some of the messy manual data flows that Matt you talked about, but nonetheless, Still, one of the hardest things is the data map. Things combining internal and external >>when >>you might not even have good master data. Common keys on your internal data. So any advice for this? Anyone who wants to take that? >>Sure I can. I can I can start. That's okay. I do think you know, one of the first problems is just a cataloging of the information that's out there. Um, you know, at least within our organization. When I took on this role, we were, you know, a large buyer of third party data. But our organization as a whole didn't necessarily have full visibility into what was being bought and for what purpose. And so having a catalog that helps us internally navigate what data we have and how we're gonna use it was sort of step number one. Um, so I think that's absolutely important. Um, I would say if we could go from having that catalog, you know, created manually to more automated to me, that's sort of the next step in our evolution, because everyone is saying right, the ongoing, uh, you know, creation of new external data sets. It's only going to get richer on DSO. We wanna be able to take advantage of that, you know, at the at the pacing speed, that data is being created. So going from Emanuel catalog to anonymous >>data >>catalog, I think, is a key capability for us. But then you know, to your second point, Cindy is how doe I then connect that to our own internal data to drive greater greater insights and how we run our business or how we serve our customers. Andi, that one you know really is a It's a tricky is a tricky, uh, question because I think it just depends on what data we're looking toe leverage. You know, we have this concept just around. Not not all data is created equal. And when you think about governance and you think about the management of your master data, your internal nomenclature on how you define and run your business, you know that that entire ecosystem begins to get extremely massive and it gets very broad and very deep on DSO for us. You know, government and master data management is absolutely important. But we took a very sort of prioritized approach on which domains do we really need to get right that drive the greatest results for our organization on dso mapping those domains like client data or employee data to these external third party data sources across this catalog was really the the unlocked for us versus trying to create this, you know, massive connection between all the external data that we're, uh, leveraging as well as all of our own internal data eso for us. I think it was very. It was a very tailored, prioritized approach to connecting internal data to external data based on the domains that matter most to our business. >>So if the domains so customer important domain and maybe that's looking at things, um, you know, whether it's social media data or customer transactions, you prioritized first by that, Is that right? >>That's correct. That's correct. >>And so, then, Matt, I'm going to throw it back to you because snowflake is in a unique position. You actually get to see what are the most popular data sets is is that playing out what one described are you seeing that play out? >>I I'd say Watch this space. Like like you said. I mean this. We've you know, I think we start with the data club. We solve that that movement problem, which I think was really the barrier that you tended to not even have a chance to focus on this mapping problem. Um, this notion of concordance, I think this is where I see the big next momentum in this space is going to be a flurry of traditional and new startups who deliver this concordance or knowledge graph as a service where this is no longer a problem that I have to solve internal to my organization. The notion of mastering which is again when everyone has to do in every organization like they used to have to do with moving data into the organization goes away. And this becomes like, I find the best of breed for the different scopes of data that I have. And it's delivered to me as a, you know, as a cloud service that just takes my data. My internal data maps it to these 2nd and 3rd party data sets. Um, all delivered to me, you know, a service. >>Yeah, well, that would be brilliant concordance as a service or or clean clean master data as a service. Um, using augmented data prep would be brilliant. So let's hope we get there. Um, you know, so 2020 has been a wild ride for everyone. If I could ask each of you imagine what is the art of the possible or looking ahead to the next to your and that you are you already mentioned the best is yet to come. Can you want to drill down on that. What what part of the best is yet to come or what is your already two possible? >>Just just a brief comment on mapping. Just this week we published a white paper on mapping, which is available for for anyone on eagle alfa dot com. It's It's a massive challenge. It's very difficult to solve. Just with technology Onda people have tried to solve it and get a certain level of accuracy, but can't get to 100% which which, which, which makes it difficult to solve it. If if if there is a new service coming out against 100% I'm all ears and that there will be a massive step forward for the entire data industry, even if it comes in a few years time, let alone next year, I think going back to the comment on data Cindy. Yes, I think boards of companies are Mawr and Mawr. Viewing data as an asset as opposed to an expense are a cost center on bond. They are looking therefore to get their internal house in order, as one was saying, but also monetize the data they are sitting on lots of companies. They're sitting on potentially valuable data. It's not all valuable on a lot of cases. They think it's worth a lot more than it is being frank. But in some cases there is valuable data on bond. If monetized, it can drop to the bottom line on. So I think that bodes well right across the world. A lot of the best date is yet to come on. I think a lot of firms like Deloitte are very well positioned to help drive that adoption because they are the trusted advisor to a lot of these Corporates. Um, so that's one thing. I think, from a company perspective. It's still we're still at the first base. It's quite frustrating how slow a lot of companies are to move and adopt, and some of them are haven't hired CDO. Some of them don't have their internal house in order. I think that has to change next year. I think if we have this conference at this time next year, I would expect that would hopefully be close to the tipping point for Corporates to use external data. And the Malcolm Gladwell tipping point on the final point I make is I think, that will hopefully start to see multi department use as opposed to silos again. Parliaments and silos, hopefully will be more coordinated on the company's side. Data could be used by marketing by sales by r and D by strategy by finance holds external data. So it really, hopefully will be coordinated by this time next year. >>Yeah, Thank you. So, to your point, there recently was an article to about one of the airlines that their data actually has more value than the company itself now. So I know, I know. We're counting on, you know, integrators trusted advisers like Deloitte to help us get there. Uh, one what? What do you think? And if I can also drill down, you know, financial services was early toe all of this because they needed the early signals. And and we talk about, you know, is is external data now more valuable than internal? Because we need those early signals in just such a different economy. >>Yeah, I think you know, for me, it's it's the seamless integration of all these external data sources and and the signals that organizations need and how to bring those into, you know, the day to day operations of your organization, right? So how do you bring those into, You know, you're planning process. How do you bring that into your sales process on DSO? I think for me success or or where I see the that the use and adoption of this is it's got to get down to that level off of operations for organizations. For this to continue to move at the pace and deliver the value that you know, we're all describing. I think we're going to get there. But I think until organizations truly get down to that level of operations and how they're using this data, it'll sort of seem like a Bolton, right? So for me, I think it's all about Mawr, the seamless integration. And I think to what Matt mentioned just around services that could help connect external data with internal data. I'll take that one step beyond and say, How can we have the data connect itself? Eso I had references Thio, you know, automation and machine learning. Um, there's significant advances in terms of how we're seeing, you know, mapping to occur in a auto generated fashion. I think this specific space and again the connection between external and internal data is a prime example of where we need to disrupt that, you know, sort of traditional data pipeline on. Try to automate that as much as possible. And let's have the data, you know, connect itself because it then sort of supports. You know, the first concept which waas How do we make it more seamless and integrated into, you know, the business processes of the organization's >>Yeah, great ones. So you two are thinking those automated, more intelligent data pipelines will get us there faster. Matt, you already gave us one. Great, Uh, look ahead, Any more to add to >>it, I'll give you I'll give you two more. One is a bit controversial, but I'll throw that you anyway, um, going back to the point that one made about data partnerships What you were saying Cindy about, you know, the value. These companies, you know, tends to be somehow sometimes more about the data they have than the actual service they provide. I predict you're going to see a wave of mergers and acquisitions. Um, that it's solely about locking down access to data as opposed to having data open up. Um to the broader, you know, economy, if I can, whether that be a retailer or, you know, insurance company was thes prime data assets. Um, you know, they could try to monetize that themselves, But if someone could acquire them and get exclusive access that data, I think that's going to be a wave of, um, in a that is gonna be like, Well, we bought this for this amount of money because of their data assets s. So I think that's gonna be a big wave. And it'll be maybe under the guise of data partnerships. But it really be about, you know, get locking down exclusive access to valuable data as opposed to trying toe monetize it itself number one. And then lastly, you know. Now, did you have this kind of ubiquity of data in this interconnected data network? Well, we're starting to see, and I think going to see a big wave of is hyper personalization of applications where instead of having the application have the data itself Have me Matt at Snowflake. Bring my data graph to applications. Right? This decoupling of we always talk about how you get data out of these applications. It's sort of the reverse was saying Now I want to bring all of my data access that I have 1st, 2nd and 3rd party into my application. Instead of having to think about getting all the data out of these applications, I think about it how when you you know, using a workout app in the consumer space, right? I can connect my Spotify or connect my apple music into that app to personalize the experience and bring my music list to that. Imagine if I could do that, you know, in a in a CRM. Imagine I could do that in a risk management. Imagine I could do that in a marketing app where I can bring my entire data graph with me and personalize that experience for, you know, for given what I have. And I think again, you know, partners like thoughts. But I think in a unique position to help enable that capability, you know, for this next wave of of applications that really take advantage of this decoupling of data. But having data flow into the app tied to me as opposed to having the APP have to know about my data ahead of time, >>Yeah, yeah, So that is very forward thinking. So I'll end with a prediction and a best practice. I am predicting that the organizations that really leverage external data, new data sources, not just whether or what have you and modernize those data flows will outperform the organizations that don't. And as a best practice to getting there, I the CDOs that own this have at least visibility into everything they're purchasing can save millions of dollars in duplicate spend. So, Thio, get their three key takeaways. Identify the leading indicators and market signals The data you need Thio. Better identify that. Consolidate those purchases and please explore the data sets the range of data sets data providers that we have on the thought spot. Atlas Marketplace Mallory over to you. >>Wow. Thank you. That was incredible. Thank you. To all of our Panelists for being here and sharing that wisdom. We really appreciate it. For those of you at home, stay close by. Our third session is coming right up and we'll be joined by our partner AWS and get to see how you can leverage the full power of your data cloud complete with the demo. Make sure to tune in to see you >>then

>>from around the globe. It's the Q with digital coverage of AWS Public sector online brought to you by Amazon Web services. Welcome back to the cubes. Virtual coverage of AWS Amazon Web services published. Public Sector Summit Online I'm John for your host with a great Gas Cube alumni Kate Goodall, Healthy in co founder and CEO, also known as the Halsey in house in the D C area. Kate, great to see you. Thanks for coming on. Virtually >>you, too. Thanks for having me, John. >>We can't be there in person. Normally, we're in person by rain going to these events. We can't do it this year because of Cove in the Pandemic. But this topic that I'm proud to talk to you about is Bahrain Women intensive program and just diversity in the global tech scene in general. So first tell us what's going on with the 2021 by Rain. Women's initiative Intensive initiative. >>Yeah, absolutely. As you know, Housing Incubator has been running for about seven years now. We've welcomed during that time over 150 entrepreneurs through a full time fellowship program which you were there, John, you saw, you know It is a really unique program that includes residents in a ah house in Georgetown s O that people really get to sort of former community. But the full time residential program isn't the right fit preneurs. So we also offer these intensive housing incubator programs for early stage social entrepreneurs from different parts of the world in different industries and sectors. Um, a W s been an amazing partner both for the full time fellowship program on for many of these intensive, including one that was focused earlier this year on entrepreneurs, an opportunity zones in our very own city. Um, but this new intensive partnership is designed specifically to support tech oriented social enterprise startups that are founded by women and based in Bahrain s. So it's It's really nicely at this intersection of calcium goal off supporting entrepreneurs who are often underserved or underrepresented. And AWS is very clearly stated goal of diversifying leadership in tech. >>I was there last year in person Bahrain, and, uh, I went to the women's diversity um, breakfast and I'm like, This is exciting and I had to give up my seat. There was so many people, there was high demand eso I >>wanna >>ask you what >>is >>this program hoping to achieve the intensive initiative? >>Yeah. I mean, there's certain things that we're always seeking to achieve in supporting and serving sort of the brightest minds and the best ideas in social enterprise. On in many ways, this one is no different. Um, but we're really looking Thio Thio, find some incredible startups in Bahrain. Um, applications for the program start today. Andi will be measuring. You know, the success of the program on a number of factors, Aziz, we always do. You know, ultimately, it's the number of jobs that get created theme the quality and quantity of the impact of the startups Onda And ultimately, you know, revenue and dollars raised all of the things that you would measure a successful business by, um uh, s so we're just really excited to find some incredible ventures that fit really well in this in the selection criteria. Andi, we'll be looking thio. Everyone's help spread the word about this great opportunity. >>Congratulations on your new program. I wanna ask you specifically, if you could give some examples of the kinds of startups you're hoping to attract, so as you look at the candidates. What's gonna be the criteria you mentioned is a criteria What jumps off the page in your mind. >>Yeah. So we want people that really understand that. Why, you know, why are they starting that business on bond? Ideally, people that have a really good idea for a rapidly scaling tech startup that also has a double bottom line attached to it. So something whereby the business models succeeds and scales and achieves eso to with the impact that is inherent in that in that model, you know, some some examples from just passed cohorts at healthy. And, you know, we've had most recently, um, incredible entrepreneur that came out off the US prison system and was really interested in reducing recidivism and worked on a tech startup that allows families to communicate with incarcerated loved ones where through a tech platform where you can convert your text to a loved one into a postcard that then could be sent into the system because obviously people aren't allowed to communicate through cell phones when they're incarcerated s Oh, that's a good example of something where you know the profit and impact really scale themselves. Um, you know, similarly from just this. You know, recent cohorts, we had a, uh, founder who herself suffered from pulmonary pulmonary hypertension. And she created a really great wearable device that can attach to your ear. Looks just like an earring. It's quite fashionable, actually. I want one. And, um, it lets you know how your oxygen level is because she just didn't have access to something that was that easy and wearable, but needed to monitor her oxygen level. Turns out, that's actually really, ah, useful piece of technology during covert. So, you know, we're looking for people that are thinking about healthcare, thinking about the environment, thinking about education on decree, ating a sustainable business model that that will help them to scale that idea. >>I wanna get into the whole social entrepreneurship conversation. It's really great when I wanna unpack that, But let's stay on this program. Um, it's super exciting. How do people get involved? It's open, but there's some criteria. Um, you mentioned startups. You're looking for changing world double Bottom line. How do people get involved? >>Really excited. You asked that because I you know, I have some people that are watching can help us um certainly, uh, going to the home page of our website housing house dot or GTA. If anyone knows any great social entrepreneurs in Bahrain, please let them know and help us spread the word. Really happy to be working with AWS and startup Borane to do so. But we we want to, you know, make it as far and wide as possible. So both for people that are interested in applying to the program and also people that are interested in helping because we always pull together a vast network of mentors and advisors and investors to really make the programmers robustas possible, they should I would encourage everyone to reach out and get in touch either through the website or, uh at housing inspires on Social Media said that our team can get back to you >>for the question is how, um What? How will the selection process work and when will they be >>partnering with AWS and start up by rain? Thio select the best start up ventures. They'll be notified in December on by The program will begin virtually in January. >>And what are the winners get? They get money. Do they get mentoring? What can you talk >>about package, so every in computer program is a little bit different. But generally they all get, uh, some serious training and assigned mentor a specific skill. Siri's that's bespoke to that intensive, and those founders needs. But more than likely, this one will include, as as they all do, you know ways to plan Thio, acquire customers ways to improve your business model and make good projections ways to think about investment and how to understand. Um, investment bond, get investment should you need thio eso. It'll have all of that along with marketing and branding and how to measure impact. But then also some bespoke things. You know, once we know exactly what the founders needs are on but then very bespoke advisors and mentors in accordance with those needs >>and really nurturing that start up in that project to getting some traction, then hopefully track into some funding vehicles. I imagine right? >>Absolutely, absolutely, and access to D. C. S. You know, great landscape when it comes to this kind of thing, both in terms of sort of three institutions that air here and the investment that is here on do all of them will also, of course, receive a ws cloud computing credits and technical support, which we found to be profoundly helpful for all of our, um, tech startups or tech enabled startups. >>Yeah, I think that's one of the things that people don't realize that some free credits out there as well take advantage of those That's awesome. And I love how this ecosystem nurturing here. When I was in Bahrain, I noticed that very young demographics changing demographics. Diversity is huge. But like here in North America and all around the world, the lack of diversity in the tech sector has been a big conversation is always happening. Thes, impact driven businesses actually consult two things you're doing. A program that impacts the diversity as well as solves the problem for diversity. Talking about double Bottom line. Can you talk about this diversity? >>Yeah, absolutely. I mean, e think you know, it's interesting because we all know that diverse teams out perform. We all understand the imperative to do that, but you're right, it's it's not just a US problem or Bahrain problem. It's a global problem, you know. And I think one of the ways to solve it is to go early because we know that women founders and founders of color and other marginalized founders, you know, start businesses roughly at the same rate. But they generally don't grow as big, and they don't, um, uh often get us much investment. In fact, the investment numbers are quite stark. In terms of who receives venture capital eso. We know that there's a lot left to disrupt, but we also know that if we're going to solve the problems that we all face right now that we need the whole population involved in solving it. So we're really interested in in in creating a much better ecosystem everywhere for for women. Founders on DWI know that that requires the support of everyone, regardless of gender and background and lived experience. Eso it is it is an imperative. But it's also a tremendous opportunity, you know, to get more people involved on Bahrain's got some incredible women and some great, uh, resource is and pieces of the ecosystem already in place. Thio, I think really be a leader in this area. >>Yes. Start up our rain to you mentioned that they have a great program. They're they're really there to help the entrepreneur, and I think the key here and I want to get your reaction to this is that not only is that important to get off the ground and having someone to be around and being a community that fosters the kind of innovation, thinking and getting started, great. But you've had a very successful program. The Halsey in house housing house dot org's as you mentioned, the u R L. You've had success, but you've been physically in D. C. What have you learned from the house? Your house success that you're applying that could be applied for others? Toe learn. >>Yeah, there's there's a lot to unpack there. I mean, we've had a Zai mentioned about 150 you know, Fellows come through our doors and they've gone on to create over 1800 jobs around the world. Received $150 million in funding, which for early stage social social ventures is a really good mark of success. Andi have gone on to impact the lives of more than 2.5 million people around the world, so I hope that this program is that you know will be able to help empower these founders, um, in Bahrain to do exactly those things and to be able to scale the adventures to create that impact. You know, we've learned a lot about you know what these startups need. Um, you know, that goes beyond just sort of the the office space and sort of traditional incubator offerings that they need a really strong community around them to celebrate their successes and also to help them with their lows. Entrepreneurship is a very rocky journey, and so that community becomes really, really important. Eso we know a lot about building, you know, supportive, nurturing community. We also know that you know, women when they go to get investment, are going to receive 70% mawr prevention questions. And this is even from women venture capitalists, right? They just venture capitalists are creatures of habit, and they generally will just look at the patterns, successes and trends that they've had and repeat those. So they're going to be looking for the same types of people. Are they funded in the past, which are traditionally young white males and eso? We know that just by virtue of the system that we all live in on DWhite. It's implanted in all of us that women are going to receive more questions about the risk of their business many, many more than they will about the opportunity. So how do we train women for that landscape? You know, how do we train them to answer the questions about the risk realistically and fairly but pivot so that they get the same opportunities as a male entrepreneur, perhaps to answer questions about the ceiling as well as the floor. >>Yeah, and addresses trade up and understand the criteria and having that confidence. And I think that the great news is that we're all changing and we're all open to it. And there's more funds now like this and your >>leadership. E love that point, John. I think, you know, I think that everyone's eyes are open right, and I can say that sort of it with a really strong sense of conviction. That, like 2020 is is a great year for acknowledging this problem and for I think a lot of joint motivation to really properly address it. So I'm actually feeling really optimistic about it, >>and we're at a cultural crossroads. Everyone kind of knows that you're seeing it play out on the big stage of the world on again. Your leadership has been doing this, and I want to get your thoughts on this because you mentioned entrepreneurship, the ups and downs. Some call it a rollercoaster highs and lows. You have great days, and you have really, really bad days. And it's even compounded when you're not in the pattern matching world of what people are seeing. If you're a woman or under verse, a minority or group, I gotta ask you the question around mental health because one of the things, especially with co vid, is having that community. Because the ups and downs swings are important that people maintain their confidence, and mentors and community add value there. Can you talk about that important piece of the equation because it's it plays a big role, often not talked about much? Um, it is tough now more than ever than ever before, but still not enough. This community there, it's >>having support. We can, you know, we talk about it a lot of healthy and what people need to prioritize their mental health as they grow a business. And ultimately, if you're not doing a good job of that. Your business will not succeed because your team would be healthy and you're just it compounds. Um, so it's really imperative. And it does take a toll on founders on entrepreneurs, I think in in higher degrees. And it does in the general population because a small crack can become a chasm if people are not careful. Andi, everyone knows even if you're super passionate about something, putting in 20 hours a day, every day continuously is eventually going to catch up with you, right? So you have to create healthy habits from the beginning for you and your team on board. And certainly during covert we've seen some of those things exacerbated due to isolation. So that community peace becomes really, really important. I don't think she would mind me saying so. I'm going Thio mention that one of our previous entrepreneurs and Yang brilliant, brilliant woman actually did a great piece. Uh, you can just google and Yang entrepreneur depression, mental health and and it will come up for you, but just a really candid expose on what it is like. Thio be an entrepreneur that perhaps struggles with with mental health >>Yeah, it's super important. And I gotta say, I really love your work. I've always been an admirer of the Halsey in Mission and the people behind it, the halcyon house. And now you're taking it to buy rain under with an intensive kind of program. It's a global landscape. Final word, Kate. What should people know about this program? Summarize it real quick. >>We're just super happy to be reaching out and supporting a greater number off talented founders from the Middle East with Although Bahrain on our partners started, Borane and AWS have to offer. You know, we we love to expand our work to serve more and more entrepreneurs. And we couldn't be more excited to support these women. >>We're an upward better time now than ever. It's gonna be a big change happening. Big cultural change. Your part of it. Thank you for joining me. >>Thank you, John. >>Great to see you >>really appreciate it. >>Thank you. I'm John for your here. The cube. Virtual covering A W s public sector online. Thanks for watching

>>From Miami beach, Florida. It's the queue covering a cryonics global cyber summit 2019 brought to you by Acronis. >>Okay. Welcome back everyone. This is the cubes coverage here at the Chronis global cyber summit 2019 I'm John furrier, host to the cube. We're Miami beach at the Fontainebleau hotel with a second day. Excited to have this next guest on Christian Garcia, senior vice president of finance and administration at the chauffeur housing ShipIt housing Institute of technology. Did they get it right? Almost right. housing. welcome back. Welcome to the cube. Good to see you. Good to see you. Thanks for having me here. This is a really cool story because you guys are doing something very entrepreneurial, right, with education, right. Okay. Inspired by the founder of a Chronis. Exactly as well. He's got. He's made a lot of money in his day, so he's doing some good things with it. Um, but this is an interesting opportunity for you to take a minute to explain what this Institute stands for. >>It's sit for short. >> Yeah, so sat actually as a name Schaffhausen Institute of technology. So we are actually starting up a university in Schaffhausen in Schaffhausen. These a beautiful tiny CD in Switzerland, 30 minutes or 30 minutes from the Zurich airport, which is the biggest airport in Switzerland, uh, close to Germany at the border with Germany. And uh, so that's kind of your, in the center of Europe and that's where we plan to have our main campus. Now let me tell you this story. How about the vision about target, his vision on these, on this project? Um, he, he said that, you know, uh, he needs to have skills in 10 to 15 years time that nowadays at the institutions that do not do not, do not bring, um, there is the need of computer scientists that are not enough computer scientists and we are having emergent technologies and these is something that provides us with tremendous opportunities, which we cannot even imagine nowadays what type of opportunities and to be on the forefront there. >>That's why we want to found these are, we have founded the Schaffhausen Institute of technology. >> Chef housing is a technology just for share. The day was just two months ago, couple months ago. It was two months ago where we, where we have started up the legal structure and now we are really laying the foundation. We have to find some that are kind of secured for for the next 12 to 18 months. And um, we are, you know, defining the strategic advisory board. We are setting up the curriculum for our students. And so it's everything up and running and to be defined. So risk is right at the creation present at creation. We are talking about this as a, this is the origination story. Exactly. Of the shelf house in Institute of technology. Exactly. What's the vision? >>I mean obviously getting skills for jobs that are our century, our time that's having been teaching in universities and before I get back. But is it about being open and what's the vision is just Switzerland is going to be global. Can you just share, what do you guys are thinking? >>Sure, absolutely. So basically what we are trying to do is to design a curriculum in um, computer science and physics because we think that computer science or present the software in physics represents the hardware. And these two things need to be combined in a entrepreneurial mindset or with an entrepreneurial mindset, which means that we also want to foster the transformation process and the anti entrepreneurship. Now, let me go back to the software path. Uh, our curriculum will cover, um, software engineering, cybersecurity. That's why we are here today. Uh, the curriculum we also cover, um, on the physics part. On the hardware part, we'll cover, uh, quantum technologies, uh, quantum physics and also new materials. Um, and these will be kind of the foundation that will build the curriculum for students, computer scientists to have physics and physics to have computer science in their curriculum so that at some point in time they can come together and to research together. >>This is the digital transformation that we're talking about. The, the intersection and the confluence of physical reality. A world that we live in, whether it's a baseball game or a soccer match to the digital culture, they're not mutually exclusive anymore and they're together. And then the impact is profound. I can only imagine. IOT, industrial, IOT, airplanes, cars, electricity, electronic batteries, all these things, correct. It's software and digital. And physical material. Exactly that you guys are thinking. >>Exactly. Exactly that and actually also considering the industry, talking to the industry, talking to chief information technology officers around the world to understand what they need are and what type of they believe of skills are needed in in 10 to 15 years time. And that's what we want to build up now to get >>well you guys car gotta go, you gotta go faster because there's jobs now. There's thousands of jobs right now in cybersecurity. There's thousands and thousands of jobs for provision and cloud computing. Amazon educate. We talked to them all the time. They just can't get the word out fast enough that Hey, if you're unemployed there's no excuse for being unemployed. Write down there's so many new jobs. But because someone didn't go to the linear school and exactly know go step by step over the years and now you can level up very quickly. Exactly for certification. But you guys are taking a much more bigger idea around real kind of masters level. Is that what it is? Undergraduate masters level? What's the level of, actually we, we, we are starting >>out with this university and we have already students that are at our or with our partner universities currently in Singapore with NUS. And we then move to Karnak and Molly here in the U S um, in order to have it, we'll do a degree. So that's a unique opportunity to already start up with some presence, uh, in, in education. And uh, you ultimately, they will be then acquired. So we hope by, by, by, by the industry and the were terrific. Elon Musk is in there somewhere innovating with who knows what's next out there and he's around. And next Sergei is out there too. A exactly. Exactly. So just look at our, at our home page, look at the curriculum, which we are currently defining now. Eh, that would be, that would be great on sit.org take me through how it works. I know you're just starting, but as you guys look at the world, I mean, first of all, I can see, I can see the attractiveness of a dual degree. >>Yeah. Because most kids get bored in college. They're freelancing anyway. They're learning on their own. I get that. But I can S so I want, so as you guys start building it out, what's going on? What's going, how's it work? What are you guys doing? You're recruiting tickets through the, the factory of work that needs to get done, if you will. What's the workflows look like? What's happening right now? So currently, I mean, we are talking about the university because we, we have students and we will have students and we weren't to have the best talents, uh, globally available. And that's why we are building institution that attracts those talents. And these is kind of the first priority to have, do I have the talents to get the tens to get students come to, to, to sit? And obviously the second part is he said, well, talking to the CEOs and Tito was in to understand what are the needs in 10 to 15 years as an outcome of this digital transformation. >>I mean, the world is computerized. Uh, as you just mentioned before, there are not enough computer scientists currently available. So four out of five companies in Switzerland direction also globally are lacking. Uh, of computer scientists and they understand, you know, at what the digital transformation means. And that's something that we really try to understand as well to build it up the curriculum. What's the timeline of starting with students? Is you right away? Do you have a location? Is there a building, I mean, give us a timeline. When did classes start? When you start bringing people in? Is it happening now? I mean, absolutely. So, so actually currently we are, we are hunting at, at uh, at some campus locations, looking at some campus locations, each a thousand where our main campus will be, will be located. Um, at the, at the, at the same time we are really building buildings structure. >>So we are appointing the strategic advisory board will be, we twill direct, eh, the curriculum of the university. Um, and, and which is represented already by, uh, very, um, great scientists. One of them, the president of the strategic advisory board being professor Dr. Noble selloff, which is a Nobel prize winner. And which actually brings in that, that new ma new material, um, science in our physics curriculum. So that's another thing that we are currently trying to do to build up that governance appropriate components. And third element that we are looking at is also to attract uh, industries and companies that sponsor the students. And that's actually an attractive ecosystem that we are trying to build up to combine science education and also entrepreneurship in business. In order to foster that, which means that we are looking at the campus, we are setting up a research center and I'm talking about two or three years down the line, the research center and then also a tech park where we can commercialize the innovation that the science green Springs in. >>So all in all we really aim to have a closed ecosystem and self sustaining ecosystem. Hopefully that we are going to establish. It's a really big idea. Congratulations. It's bold. It's and it's relevant. Absolutely. So I got to ask you the question, how do you finance all this? Who's paying for it? So tell us how do we get funded? It's very important. Otherwise we pull in, start up with such a tremendous pace. Uh, actually the vision is, is from Sergei Velo self, uh, founder and CEO of Acronis. Um, he, he's, Hey has actually secured the initial founding of the institution and now really we need to have more partners on board in order to make this self sustaining education edge educational system system as sustainable as you are going to be tuition base or scholarship based. Have you guys thought about that? Um, in terms of students it would be tuition-based ah, that's a classical classical model or at least at least in Switzerland and obviously to get the industry sponsoring students in order to also down the line employee them later on. >>That would be the idea situation. Nice vision for Sergei and nice gesture. But you've got to look at what his business is doing. They created a category called cyber protection. Extending the benefit to him is more candidates know physics edge. So why not? This is a great vision. Absolutely the win-win. Absolutely. And we all believe in that the entire, um, you know, stand up team believe in that vision. That's where we are here and building up this institution. Well when you need to go global will be in Silicon Valley and waiting for you guys to come there and collaborate with us there. I hope. I hope that because we want to compliment each other. As I mentioned, computer scientists, our need is globally and obviously also in the Silicon Valley and why not? I think the collaboration aspect is going to be a big part of the growth as you guys get >>settled in on the the first use case in Shevon housing. Exactly. You know, and get that built out, but I think with digital technologies, I think there'll be a great collaboration, bring some good talent in as faculty and advisors and exactly get the flywheel going except congratulations. Thanks for coming on. The key, the education game is changing with modernization of a global impact of technology for good. You're seeing the landscape of innovation hit education. This is another great example of it. Super proud. The interview. Thanks for coming on and sharing the insights. The world continues to evolve. Of course, the cube is, they're watching every turn. I'm John Feria here in Miami beach for the Crohn's global cyber summit. 2019 deck with more coverage after this short break.

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

>> Narrator: Live from Austin, Texas, it's theCube. Covering South by Southwest 27 deeds, brought to you by Intel. Now, here's John Furrier. >> Okay, welcome back everyone. Live coverage of South by Southwest here in Austin, Texas. This is Silicon Angle's theCube, our flagship program. We're going to go out to the events and extract the signal from the noise. I'm John Furrier. Our next guest Ali Vahabaznet. >> Almost, Vahabzadeh. >> Vahazbadeh, Vahabzadeh, CEO of Chariot, a hot start up that was acquired by Ford Mobility Solutions last September. Really innovating in what I call the sharing economy which has been called, not I call, the sharing economy. But this really highlights the paradigm shift. So Ali, I want to thank you for coming on, I appreciate it. >> Thank you for having me, John. >> So Chariot is one of your cities not only in the Bay Area but here in Austin. Give a quick highlight of what's going on here in Austin for you guys and the freebie from the South by Southwest goers. >> Yes, Chariot is reinventing mass transit by crowdsourcing new routes in neighborhoods that either don't have the most commuter options or there's commuter options but there's not enough space on buses and trains. So we crowdsource these routes and we launch operations in these neighborhoods once we hit a tipping point and we get vehicles on the road. We started in San Francisco in 2014. We expanded to Austin, and then most recently in September we got acquired by Ford Smart Mobility to become a cornerstone of Ford's mobility strategy for many years to come. >> So this really highlights the sharing economy as I said, but what's going on is that the users interface to the real world is becoming digital. So obviously cars are not digital yet, they'll be self driving soon and Ford's announced mass production in five years. But it points to their relationship with others, collaboration. This is the big AI trend that gets surfaced in real-world benefits. >> Yeah, it's incredible. Everyone knows that Ford makes incredible cars, but Ford also wants to be a mobility company as well. With this thing that we have in our pockets, the phone, it provides a tremendous amount of data about us, commuters, riders, people who are trying to get from A to B. By harnessing that data for now it's given to us by the users themselves. By harnessing that data we can make some really intelligent and efficient choices about where our vehicles, in our example, 14-passenger Ford transit wagons, should be and could be to pick people up at the times where they need it the most. >> All right Ali, I want to kind of get you to riff on something with me. Imagine you're re-imagining the future, I love that. Or reinventing mass transit. So re-imagine some of the amazing things that are possible in your vision. Just kind of roll forward a few years. I mean we're going to have headsets and virtual reality and holograms that can bring my experience inside the vehicle. Not only am I just getting a ride somewhere, I mean in our area in Silicon Valley the Google buses and the company buses they've all gone wifi. They're working away. So I can imagine that you must have a vision for technology into your product. Can you share you vision on that? >> Yeah, imagine most people's commute is a twice-daily worst part of their day. We've moved the needle even without a lot of experimental things going on inside of Chariot. We've move it to, it's actually a decent part of your day and you don't have to worry about it anymore. What Chariot and Ford is looking forward to doing in the next couple of years is to actually make it, believe it or not, the best part of your day. You mentioned VR, entertainment options, social connecting options with other people in a Chariot who you may either want to network with professionally in the future or maybe even socially. Perhaps your next date is onboard. So there's so many things that you could be doing in that Chariot because we know your preferences. We know where you're commuting from and to. We know what you want to eat for dinner. We know where you want to go for happy hour on Thursday night and the Chariot's AI can actually be suggesting to you what Chariot to get on at what time and these folks are going to be onboard with you at that point. >> So you now I'm craving some Buffalo wings, so you just pull off the exit and I get some wings? Or bring out a Fitbit, or Johnny's going to take a bio break. I'm kind of being over the top, but this is what you're thinking, right? >> Perhaps you're on a diet and the device on your hand or the app, the diet app on your phone knows exactly what you had for breakfast and lunch. Perhaps the Chariot is headed in a certain neighborhood with a vegetarian option and you've had too much meat in the day. It could suggest to you hey, get off on this curb because there's a wonderful option here for you to have a non-protein meal. >> John: But that's in your future, you see that vision. >> It's in the future and it's not too distant from where we are right now. I mean what I think is cool between Chariot and Ford is Ford has these incredible resources. Also has vision with what they can do in the vehicle. Chariot, in a very short amount of time, in less than three years, we were able to penetrate a very attractive market of young professionals and actually have them tell us what they want to do, where they want to go from and where they want to go to. We're just scratching the surface right now. >> Tell me about your experiences here at South by Southwest. What's the vibe of the show? We've seen some touchpoints around. It's a VR show, it's some AI. Other things that you're observing that you could surface and say are the key top story lines that are developing on day one of South by Southwest? >> Yeah, you know it's my first South by Southwest, John. I was walking over here with a friend. I was remarking to her that I actually feel this is probably what world's fairs were like 100 years ago when people were discovering new technologies and companies like Ford were actually big participants in world's fairs. This feels like a 21st century world's fair. I'm just seeing such incredible installations and companies that I've never heard of before looking to make an impression on consumers or future users. Companies that don't even have a product, don't even have a service in reality right now and are just providing you a peak into their future. It's my first day here. I can't wait for the next few days. >> Well it's also a good mash up of creativity, industry, and just people, it's a melting pot of just kind of laid-back. It's Austin so it's pretty cool here. Easy living, as they say. >> Yeah, absolutely. There are people who are looking at what the future can hold. Also there are people who I can see in the look of their eyes what is my next start up going to be? Or where can I take my career next? Is it smart transportation like Chariot? Or it is something in VR or AI? Or something that doesn't even exist today? So it's great to see this collaboration. People also meeting each other who've never met each other before. Breaking plates and meeting new people for the first time. >> Okay, so personal question, last question to give you kind of on a personal note. Take your CEO of Chariot hat off at Ford Smart Mobility, put on your personal Ali hat. What are you most excited about? Not with the Chariot, but outside of Chariot as you look at the real world technically speaking. What are you most excited about? What's floating your boat, so to speak? Or driving your car or Chariot? >> Riding in a Chariot, you don't have to drive anymore. The first thing that comes to mind is I'm honored that I'm going to have dinner with a bunch of mayors this evening including Mayor Adler and several others. And I tell you what, when I started the company three years ago, no one would pick up our phone, regulators, city officials and the like. But now I think that the city and urban leaders whether it's Chamber of Commerce, the Mayor's Office, the Transit Authority, the Housing Authority, whatever the case may be, they really are open to not just innovations in transit, but innovations in housing, innovations working together, live-work. In a very short three years I've seen that sea change in the attitude. It's going to be, I think it's a dam that's opened up. I think you're only going to see this momentum accelerate with the civic authorities and innovators and technologists actually working together. >> It's a real impact. Final, final question since one popped in my head. What is AI going to do for your business, your industry, transportation and Chariot in general? What is AI's impact to your industry? I think AI's going to take cars off the street because we are going to know where people are coming from and going to at what probable hours. So we can run much more efficient routes and much more efficient networks. We'll run larger vehicles, larger format vehicles as opposed to single occupancy vehicles like you'll see on Rainey Street tonight. So that's gets me really excited because it doesn't only improve the human experience, it helps the environment and it's all good things. I can't think of a downside for AI in transportation. >> Well there might be some disruption in some transition. Let's just take one simple example. Parking lots, what are you going to turn them into? >> I can't wait to see parking lots converted into lower-income housing, into parks. >> Public easements. >> Into public easements, into more shared office workspace. >> The impact's bigger than people think. >> Just walk down Braswell Street or Congress Street. It seems like every other building is a parking garage. Or half of a building is now a parking garage. We have to stop building parking garages. We have to stop providing free parking both at home and at work so that we can force, transition people into the different formats of commuting. >> So all these jobs that are going away are now being shifted. Now again, idea for people out there watching just get in the business of retrofitting garages into housing, that's a new opportunity. >> That's my next start up, John, are you in? >> John: I'm in. >> Okay. >> Seed funding, this is theCube here live at South by Southwest at the Intel AI Lounge. I'm John Furrier, thanks for watching. More after this short break. (upbeat instrumental music)

>> Announcer: Live from San Jose, in the heart of Silicon Valley, it's theCUBE. Covering AWS Summit 2016. (upbeat electronic music) >> Hello everyone, welcome to theCUBE. Here, live in Silicon Valley, at Amazon Web Services, AWS Summit, in Silicon Valley. I'm John Furrier, this is theCUBE, our flagship program. We go out to the events and extract the signal from the noise. I'm here with my co-host. Introducing Lisa Martin on theCUBE, new host. Lisa, you look great. Our first guest here is David Richards, CEO of WANdisco. Welcome to theCUBE, good to see you. >> Good to see you, John, as always. >> So, I've promised a special CUBE presentation, $20 bill here that I owe David. We played golf on Friday, our first time out in the year. He sandbagged me, he's a golfer, he's a pro. I don't play very often. There's your winnings, there you go, $20, I paid. (smooching) (laughing) I did not well challenge your swing, so it's been paid. Great fun, good to see you. >> It was great fun and I'm sorry that I cheated a little bit, mirror in the bathroom still running through your ears. >> I love the English style. Like all the inner gain and playing music on the course, it was great a great time. When we went golfing last week, we were talking, just kind of had a social get-together but we were talking about some things on the industry mind right now. And you had some interesting color around your business. We talked about your strategy of OEMing your core technology to IBM and also you have other business deals. Can you share some light on your strategy at WANdisco with your core IP, and how that relates to what's going on in this phenom called Amazon Web Services? They've been running the table on the enterprise now and certainly public cloud for years. $10 billion, Wikibon called that years ago. We see that trajectory not stopping but clearly the enterprise cloud is what they want. Do you have a deal with Amazon? Are you talking to them and what is that impact your business? >> Well I mean the wonderful thing is if you go to AWS Marketplace, you go to that front page, we're one of the feature products on the front page of the AWS Marketplace, so I think that tells you that we're pretty strategic with Amazon. We're solving a big problem for them which is the movement of data in and out of public cloud. But you asked an interesting question about our business model. When we first came into the whole big date marketplace we went for the whole direct selling thing like everybody does, but that doesn't give you a lot of operational leverage. I mean we're in accounts with IBM right now, you mentioned earlier, MR technology. At a big automotive company they have 72 enterprise sales guys, 72. We could never get to that scale any time soon. >> And you have relationships too. So it's not like they like, you know, just knocking on doors selling used cars. They are strategic high-end enterprise sales. >> Exactly. That gives us a tremendous amount of operational leverage and AWS is one of the great stories, will be one of the great IT stories of the century. To go from zero to 15 billion. If AWS was an independent company, faster than any other enterprise software company in the history of mankind, is just incredible. >> Yeah, well, enterprise obviously, they care about hybrid cloud, which you know all about through your IBM relationship. Andy Jassy at Amazon, the CEO now of Amazon. Newly announced title, he's certainly SVP, basically he's been the CEO of Amazon. He's been on record, certainly on stage, and on theCUBE saying, why do even companies need data centers? That kind of puts you out of business. You have a data center product, or is the cloud just one big data center? Will there ultimately be no data center at all? What's your thoughts? >> That's a great question. We see the cloud as just one great big data center or actually many great big data centers. And how you actually integrate those together, how you move data between data centers, how you arbitrage been cloud vendors. Are you really going to put all your eggs into one basket? You're going to put everything into AWS. Everything into Azure. I don't think you will. I think you'll need to move data around between those different data centers and then how about high availability? How do you solve that problem? Well WANdisco solves that problem as well. >> So a couple of questions for you David. One of the things that Dr. Wood said in the keynote today was friends don't let friends build data centers. So I wanted to get your take on that as well as from an IBM perspective. We just talked about the OEM opportunity that you're working there to get to those large enterprises. Does that mean that you're shifting your focus for enterprise towards IBM? Where does that leave WANdisco and Amazon as we see Amazon making a big push to the enterprise? >> So I think that was some big news that came out last week that was missed largely by the industry, which was the FCA, the financial regulatory authority in the United Kingdom, came out and said, we see no reason why banks cannot move to cloud from a regulatory perspective. That was one of the big fears that we all had which is are banks actually going to be able to move core infrastructure into a public cloud environment? Well now it turns out they can. So we're all in on cloud. I mean, we can see, if you look at the partnerships that we're focused on, it's the sort of four/five cloud vendors. It's the IBM, the AWS, Azure, Oracle, when they finally built that cloud, and so on. They're the key partnerships that we see in the marketplace. That will be our go-to market strategy. That is our go-to market strategy. >> So one of the things that's clear is the data value and you do a lot of replications. So one of the things that, I forget which CUBE segment we've done over the years, that's Hurricane Sandy I think it was, in New York City. You guys were instrumental in keeping the up-time and availability. >> Lisa mentioned, Amazon vis-a-vis IBM, obviously two different strategies, kind of converging in on the same customer. Amazon's had problems with availability zones and they're rushing and running like the wind to put up new data centers. They just announced a new data center in India just recently. Andy Jassy and team were out there kicking that off. So they're rushing to put points of presence, if you will, for lack of a better word, around the world. Does that fit into your availability concept and how do customers engage with you guys with specifically that kind of architecture developing very fast? >> I think that's a really great question. There are problems, there have been historic problems with general availability in cloud. There are lots of 15-minute outages and so on that cost billions and billions of dollars. We're working very closely and I can't say too much about it with the teams that are focused on enabling availability. Clearly the IBM OEM is very focused on the movement of data from the hybrid cloud, I'm from a data availability perspective. But there's a great deal of value in data that sits in cloud and I think you'll see us do more and more deals around general cloud availability moving forward. >> Is there a specific on that front project that you can share with us where you've really helped a customer gain significant advantage by working with AWS and facilitating those availability objectives, security compliance? >> So, one of the big use cases that we see, and it's kind of all happening at once really, is I built an on-premise infrastructure to store lots and lots of data, now I need to run compute and analytics against that data and I'm not going to build a massive redundant infrastructure on-premise in order to do that, so I need to figure out a way to move that data in and out of cloud without interruption to service. And when we are talking about large volumes of data, you simply can't move transactional data in and out of cloud using existing technology. AWS offers something called Snowball where you put it into a rugged ICE drive and then you ship it to them, but that's not really streaming analytics is it? Most of our use cases today are either involved in either the migration of data from on-premise into cloud infrastructure, or the movement of data for an atemporal basis so I can run compute against that data and taking advantage of the elastic compute available in cloud. They are really the two major use cases that web, and we're working with a lot of customers right now that have those exact problems. >> So majority of your customers are more using hybrid cloud versus all in the public cloud? >> Hybrid falls into two categories. I'm going to use hybrid in order to migrate data because I need to keep on using it while it's moving. And secondly I need to use hybrid because I need to build a compute infrastructure that I simply can't build behind firewall. I need to build it in cloud. >> So the new normal is the cloud. There was a tweet here that says, database migration, now we can have an Oracle Exadata data dispute that we're ready to throw into the river. (David laughs) Database migration is a big thing and you mentioned it on the first question that moving in and out of the cloud is a top concern for enterprises. This is one of those things, it's the elephant in the room, so to speak. No pun intended AKA Hadoop. Moving the data around is a big deal and you don't want to get a roach motel situation where you can check in and can't check out. That is the lock-in that enterprise customers are afraid of with Amazon. You're thoughts there, and what do you guys offer your customers. And if you can give some color on this whole database migration issue, real, not real? >> The big problem that the Hadoop market has had from a growth perspective is applications. And why they had a problem, well it's the concept of data gravity. The way that the AWS execs will look at their business the way that the Azure execs will look at their business at Microsoft. They will look at how much data they actually have. Data gravity. The implication being if I have data then the applications follow. The whole point of cloud is that I can build my applications on that ubiquitous infrastructure. We want to be the kings of moving data around right? Wherever the data lands is where the applications follow. If the applications follow, you have a business. If the applications don't follow, then it's probably a roach motel situation, as you so quaintly put it. But basically the data is temporal. It will move back to where the applications are going to be. So where the applications are, and it's who is going to be the king of applications, will actually win this race. >> So, question, in terms of migration, we're hearing a lot about mass migration. Amazon's even doing partner competency programs for migration. Not to trivialize it, talk to us about some of the challenges that you are helping customers overcome when they sort of don't know where to start when it comes to that data problem? >> If it's batch data, if it's stuff that I'm only going to touch if it's an archive, that I only going to touch once in a blue moon, then I can put it into Snowball and I can ship my Snowball device. I can sort of press the pause button akin to when I'm copying files into a network drive where you can't edit them, and then wait for two months, three months. Wait for them to turn up in AWS and that's fine. If it's transactional data where maybe 80% of my data set changes on a daily basis and I've got petabyte scale data to move, that's a hard problem. That requires active transactional data migration. That's a big mouthful, but that's really important for run-time transactional data. That's the problem that we solve. We enable customers, without interruption to service to move a massive scale active transactional data into cloud without any interruption of service. So I can still use it while it's moving. >> One of the things we were talking about before you came on was the whole global economy situation. I think a year and a half ago, or two years ago, you predicted the housing bubble bursting in London. You're in the London Exchange, you're a public company. Brexit, EU. These are huge issues that are going to impact, certainly North America looking healthy right now but some are saying that there's a big challenge and certainly the uncertainty of the U.S. presidency candidates that are lack of thereof. The general sentiment in the U.S. We're in a world of turmoil. So specifically the Brexit situation. You guys are in London. What does this impact your business and is that going to happen? Or give us some color and insight into what the countrymen are thinking over there. >> Okay, so, I get asked by, I live here of course, and I've lived here for 19 years. It feels like I'm recolonizing sometimes, I have to say. No, I'm joking. I get asked by a lot of Americans what the situation is with Brexit and why it happened. And for that you have to look at economics. If you sort of take a step back, in Northern Europe nine of the 10 poorest parts of Northern Europe are in the U.K. And one, only one of the top 10 richest parts is in the U.K. and that's London. So basically outside of London the U.K. has a really big problem. Those people are dissatisfied. When people are dissatisfied, if they're not benefiting from an economic upturn, if governments make it, like the conservative government for the past four years made huge cuts, those people don't benefit, and they really feel pissed off and they will vote against the government. >> John: So protest vote pretty much? >> Brexit was really, I think, a protest vote. It's people dissatisfied. It's people voting basically anti-immigration which is, being in the U.S., is a really foreign thing to us. >> But there are some implications to business. I mean obviously there's filings, there's legal issues, obviously currency. Have you been impacted positively, negatively and what is the outlook on WANdisco's business going forward with the Brexit uncertainty and/or impact? >> We're in great shape because we buy pounds. We buy labor that's now discounted by 20% in the U.K. I just got back from the U.K. If you want to go on vacation, Americans, anywhere, go to London this summer and go shopping because everything is humongously discounted for us American's right now. It's a great time to be there. So from a WANdisco perspective-- >> John: How does that affect the housing bubble too? >> I said to you about a year ago that the London housing market was akin to the jewelry shops that existed in Hong Kong a few years ago, where the Chinese used to come over and basically launder money by buying huge diamonds and bars of gold and things. If you look at the London housing market it is primarily fueled by the Saudis and by the Russians who have been buying Hyde Park Corner 100 million pounds, $160 million, well $140 million now, apartments and so on in London. Now seven, and I repeat seven housing funds in the U.K. last week canceled redemptions. Which means that they can foresee liquidity problems coming in those funds. I think you're about to see a housing crash in London, the like of which we've never seen before, and I think it would be very sad and I think that will make people really question the Brexit decision. >> John: So sell London property now people? >> Yes. >> Before the crash. >> And go shopping, I heard the go shopping. So following along that, you talked about the significant differential between London and the rest of the U.K. You're from Sheffield, you're very proud of that. You've also been proud of your business really helping to fuel that economy. How do you think Brexit is going to affect WANdisco in your home area of Sheffield. >> I don't think it really will. I think our employees there, relative terms, very well paid. They're working on interesting things. They're working very closely with the AWS team, for example, the S3 team, the MR team. And building our technology, we're liaising very closely with them. They're doing lots of interesting things. I suspect their vacations into Europe and their vacations to the United States have just gone up by about 20% which will reduce the amount of beer that they can drink. It's a big beer drinking part of the world in Sheffield. Sheffield is, in terms of cost of living, is relatively low compared to the rest of the U.K. and I think those people will be pretty happy. >> David, I appreciate you coming on theCUBE. I want to give you the final word here on the segment because you're a chief executive officer of a public company. You've been in the industry for awhile. You've seen the trials and tribulations of the Hadoop ecosystem. Now basically branded as the data ecosystem. As Hortonworks has recently announced, Hadoop Summit is now being called Data Works Summit. They're moving from the word Hadoop to Data. Clearly that's impacting all the trends. Cloud data, mobile is really the key. I want you, and I'm sure you get this question a lot, I would like you to take a minute and explain to the audience that's watching, what's this phenom of Amazon Web Services really all about? What's all the hub-bub about? Why is everyone fawning over Amazon now? When you go back five years ago, or 10 years ago when it started, they were ridiculed. I remember when this started I loved it, but they were looked at as just a kind of a tinkering environment. Now they're the behemoth and just on an unstoppable run and certainly the expansion has been fantastic under Andy Jassy's leadership. How do you explain it to normal people what's going on at Amazon? Take a minute please. >> So Amazon is, and that's a brilliant question, by the way. Amazon is the best investor-relation story ever, and I mean ever. What Bezos did is never talked about the potential size of the market. Never talked about this thing was going to generate lots of cash. He just said, you know what, we're building this little internet thing. It might, it might not work. It's not going to make any money. And then in the blink of an eye, it's a $15 billion revenue business growing faster than any other part of his business and throwing off cash like there's no tomorrow. It is just the most non-obvious story in technology, in business, of any public company ever. I mean AWS, arguably, as a stand alone entity, is almost worth as much as Oracle. An unbelievable, an unbelievable story and to do that with all the complexity. I mean mean running a public company with shareholder expectations, with investor relations where you have to constantly be positive about what's going on. For him to do that and never talk about making a profit, never talk about this becoming a multi-billion dollar segment of their business, is the most incredible thing. >> So they've been living the agile. Certainly that's the business story, but they've been living the agile story relative to announcing the slew of new products. Basic building blocks S3, EC2 to start with, as the story goes from Andy Jassy himself, and then a slew of new services. It's a tsunami of every event of new services. What is the disruptive enabler? What's the disruption under the hood for Amazon? How do you explain that? >> Well, I mean what they did is they took a really simple concept. They said, okay, storage, how do we make storage completely elastic, completely public, in a way that we can use the public internet to get data in and out of it. Right? That sounds simple. What they actually built underneath the covers was an extremely complex thing called object store. Everybody else in the industry completely missed this. Oracle missed it, Microsoft missed it, everybody missed it. Now we're all playing catch-up trying to develop this thing called object store. It's going to take over, I mean, somebody said to me, what's the relevance of Hadoop in cloud? And you have to ask that question. It's a relevant question. Do you really need it when you've got object store? Show me side-by-side, object store versus every, you know, Net Apple, Teradata, or any of those guys. Show me side-by-side the difference between the two things. There ain't a lot. >> Amazon Web Service is a company that can put incumbents out of business. David, thanks so much. As we always say, what inning are we in? It's really a double-header. Game one swept by Amazon Web Services. Game two is the enterprise and that's really the story here at Amazon Web Services Summit in Silicon Valley. Can Amazon capture the enterprise? Their focus is clear. We're theCUBE. I'm John Furrier with Lisa Martin. We'll be right back with more after this short break. (techno music)