>>from the bellagio Hotel >>in Las Vegas. >>It's the >>cube covering >>Ui Path forward. >>Four brought to >>you by Ui Path. >>Welcome back to Las Vegas. The cube is here. We've been here for two days covering Ui Path Forward for lisa martin here with David Monty. We've talked about automation and many industries. Now this segment is going to focus on automation and healthcare. We've got two guests joining us Jim Petrosea Cto of Blue Cross, Blue Shield and Gadget. Dhaliwal. The global C. I. O. Industry lead at you. I pass guys welcome to the program. Thank you. So let's start unpacking from the CTO level and the ceo level the agenda for automation. Jim let's start with you. What does that look like >>for us. It's actually pretty strategic and part of as we think about digital and what digital transformation means, it actually plays a pretty key role. Um There are a lot of processes that can be very manual within a big organization like Blue cross and Blue shield and to be able to streamline that and take away kind of what I would call the mundane work. Right? The the you know, going through a spreadsheet and then typing it into the screen, there are a lot of processes like that that are legacy. But what if you could take that away um and actually create a better work experience for the people that work there right? And and focus on higher value type uh type things and it's really key. And it really It goes down to our our business folks right? There are a lot of things we can drive with automation. We started a program um in 2019. Um that's been quite successful. We now have 250 box, we measure what we call annualized efficiency gains. So how much efficiency are we getting by these bots? So the bots are doing um this repetitive work that people would do. Um And what we're finding is, you know, we've got about $11 million in any wise efficiency gain through the process and we're just getting started. Um But we're all we're not stopping there too though, we're enabling citizen developers. So we're saying, hey business, if you want to automate, you know, parts of your job, we're gonna help you do that. So we've got about 60 people that were training. Um We run bad Ethan's where they come together and they actually create bots uh And it's really really creating some some impact and buzz in our business >>anywhere from your lens, where does automation fit within the C. I. O. S. Agenda? And how do you work together in unison with the C. T. O. To help roll this out across the enterprise? >>Yeah, no, definitely. And in fact as a part of introduction, I can actually share that. How I'm wearing a Ceo had within your path since I'm just joining join path and I'm actually now helping a client ceos in their automation strategy but I was a deputy ceo in my prior role at L. A. County where actually I ran the automation strategy. So if we look at from our organization perspective B complex as L. A County which is such a Federated organization. From a Ceo perspective, the way we look at the strategy is it's always driven by the business goals of the city or a county and we typically drive into three different areas. One is how we can transform our operational processes so that we can save the tax dollars. It's all about doing more with the less dollars. And then second is about how we can transform our residents experience because end of the day it is all about how we can improve the quality of life for our residents. So we've got 10 million people for L. A. County, the largest populous county in us. So it was an uphill task to serve that such a diverse population need and that the third area is about how to transform the new business models because as we are moving away from a government centric approach to the residents centric approach, you really need to come up with a new digital solutions. And Ceo is in the center of all these three elements when you look at it. So it's a very appear to us to keep keep improving your efficiency and then at a time keep adding the new digital solutions and that's where automation strategy is kind of a horizontal strategy which enables all these components. So what I hear from >>that is alignment with the business. Yeah. Right. Change management. Absolutely. That's like really fundamental and then see IOS this this agent of transformation uh you can see or she has a horizontal purview across the organization now now jim the cto role is the automation at blue cross blue shield lead by you or you there to make sure the technology plugs into your enterprise architecture. What's your shoulder? >>You know? Uh my my role is really to drive uh what I'll call technology enabled business change. Right. So I actually uh started our our automation journey uh at hc sc and I did that by partnering with our business. Um There was actually a lot of buzz around automation and there were actually some small pockets of it, none of it was enterprise scale. Um Right. And we really wanted to go big in this and and working with the business sponsors, they saw value in it. Um and we've you know, we've generated um a lot of uh efficiency, better quality of work because of it but but I very closely had a partner with our business, we have a committee that is lead of business folks that I facilitate. So I view my role as an enabler, um we have to communicate the change management pieces is huge. Uh the education just having a common vernacular on what is automation mean, Right, because everybody interpreted it differently um and then being able to do it at an enterprise scale is quite challenging. Um You know, I I really enjoyed um one of the key notes, I don't know if you had a chance to see shankar by Duncan from the hidden brain, right? But he talked a lot about the brain aspect and how do you get people to change? And and that's a large part of it. There's a lot about technology, but there's really a lot about being a change agent um and and really working very closely with your business, >>how does one measure? I'm hearing a lot time saved. Our saved. How does one measure that and quantify the dollar impact, which by the way, I'm on record as saying the soft dollars are way bigger. And but when you're talking to the, you know, the bottom line CFO and it's all about, you know, the cash flow, whatever is, how do you measure that? >>I can take it. So we, what we do is as we define these use cases right? We we go through an actual structure product process where we we gather them. Um we then rate them and we actually prioritize them based on those that are going to have the greatest impact. Um and we can tell based on, you know, what is the manual effort today. So we understand there are X number of people that do this X number of days and we think this body can take that some load off of them. Right? Um So we we go in with the business case. Um And then the Ui Path platform actually allows us to measure well, how much is that pot running? Right. So we can actually sit there and say, well we wanted that thing to run 10 hours a day and it did and it's generated this kind of efficiency because otherwise the human would have had to do that work. >>So the business case is kind of redeploying >>human. It really is is really maximizing human capital and make and and you know really using because the bots do repetitive stuff really well. They don't do higher level thinking and and we don't view it as replacing people, we view it as augmenting and actually making them more efficient and more effective at what, how do you get the dollars out of that? Well, a couple of ways. Right. And so one of the things we've we've done is we we create and measure the efficiency our business users and financed by the way is one of our bigger ones. And the CFO is one of the sponsors of the program, um can decide how to reinvest it in a lot of cases it is actually cost avoidance as we grow, literally being able to grow without adding staff. I mean that's very measurable. Um in some cases it is actually taking, you know cost out um in in certain cases, but a lot of times that's just through attrition, right? You don't back fill positions, you let it happen naturally. Um and and then there's just things that happen to your business that you have to respond to give you a great example, state of texas, um passes what's the equivalent of the no surprise attack. But they did it there before the federal government did it. Um but it requires a lot of processes to be put in place, because now you have providers and payers having to deal with disputes, right? It actually generates a boatload of work. And we thought there might be, you know, 5000 of these in the first year, where there were 21,000 in the first year. And so far this year we're doubling that amount, right. We were able to use automation to respond to that without having to add a bunch of stuff. If we had to add staff for that, it would have literally been, you know, maybe hundreds of people, right? And but now, you know, there's, you can clearly put a value on it and it's millions of dollars a year, that we would have otherwise had to expect. >>The reason I'm harping on this lease is because I've been through a lot of cycles, as you know, and after the dot com boom, the the cost avoidance meant not writing the check to the software company, right? And that's what nick Carr wrote this, i. T matter. And then, and then, you know, post the financial crisis, we've entered uh a decade plus of awareness on the impact of technology. And I wonder if it's, I think this, I think this the cycle is changing I think. And I wonder if you have an opinion here where people, I think organizations are going to look at Technology completely different than they did like in the early 2000s when it was just easy to cut. >>No, I think the other point I will add to it. I agree with the gym. So we typically look at our away but it doesn't always have to be the cost. Right? If you look from the outcomes of the value, there are other measures also right? If you look at the how automation was able to help in the Covid generate. It was never about costs at that time. It was about a human lives. So you always may not be able to quantify it what you look at. Okay. What how are we maximizing the value or what kind of situations where we are and where we may not even have a human power to do that work. And we are running against the time. It could be the compliance needs. I'll give example of our covid use case which was pretty big success uh within L. A. County we deployed bots for the covid contact tracing program. So we were actually interviewing all the people who were testing positive so that we actually can keep track of them and then bring back that data within our HR so that our criminologists actually can look at the trends and see how we are doing as a county as compared to other counties and nationally. And we were in the peak, we were interviewing about 5000 people a day And we had to process that data manually into our nature and we deployed 15 members to do that. And they were doing like about 600 interviews a day. So every day we had a backlog of 2500 interviews. So it is not about a cost saving or a dollar value here because nobody planned for these unplanned events and now we don't have a time and money to find more data entry operators and parts were able to actually clear up all the backlog. So the value which we were able to bring it is way beyond the cost element. >>I I believe that 100% and I've been fighting this battle for a long time and it's easier to fight now because we're in this economic cycle even despite the pandemic, but I think it can be quantified. I honestly believe it can be tied to the income statement or in the case of a public sector, it could be tied to the budget and the mission how that budget supports the mission of the company. But I really believe it. And and I've always said that those soft factors are dwarf the cost savings, but sometimes, you know, sometimes the CFO doesn't listen, you know, because he or she has to cut. I think automation could change that >>for public sector. We look at how we can do more about it. So it's because we don't look at bottom line, it's about the tax dollars, we have limited dollars, but how we can maximize the value which we are giving to residents, it is not about a profit for us. We look at the different lens when it comes to the commercial >>Side, it's similar for us. So as a as a health care pair, because we're a mutual right? Our members and we have 17 million of them are really the folks that own the company and we're very purpose driven. Our our purpose is to do everything in our power to stand by members in sickness and in health. So how do you get the highest quality, cost effective health care for them? So if automation allows you to be more effective and actually keep that cost down, that means you can cover more people and provide higher quality care to our members. So that's really the driver for mission driven, >>I was gonna ask you as a member as one of your 17 million members, what are some of the ways in which automation is benefiting me? >>Um you know, a number of different ways. First off, you know, um it lowers our administrative costs, right? So that means we can actually lower our rights as as we go out and and and work with folks? That's probably the the the the bottom line impact, but we're also automating processes uh to to make it easier for the member. Right? Uh the example I used earlier was the equivalent of no surprises. Right. How do we take the member out of the middle of this dispute between, you know, out of network providers and the payer and just make it go away. Right, and we take care of it. Um but that that creates potentially administrative burden on our side, but we want to keep their costs down and we do it efficiently using it. So there's a number of use cases that we've we've done across, you know, different parts of our business. We automate a lot of our customer service, right? When you call um there's bots in the background that are helping that that agent do their job. And what that means is you're on the show, you're on the phone a lot shorter of a period of time. And that agent can be more concise and more accurate in answering your question. >>So your employee experience is dramatically improved, as is the member experience? >>Yes, they go hand in hand. They do go hand, unhappy members means unhappy employees, 100% >>mentioned scale before, you said you can't scale in this particular, the departmental pockets. Talk about scale a little bit. I'm curious as to how important cloud is to scale. Is it not matter. Can you scale without cloud? What are the other dimensions of scale? >>Well, you know, especially with my CTO had, we're we're pushing very heavily to cloud. We view ourselves as a cloud first. We want to do things in a cloud versus our own data centers, partially because of the scale that it gives us. But because we're healthcare, we have to do it very securely. So. We are very meticulous about guarding our data, how we encrypt information um, not only in our data center but in the cloud and controlling the keys and having all the controls in place. You know, the C. So and I are probably the best friends right now in the company because we have to do it together and you have to take that that security mind set up front. Right cloud first. Put security first with it. Um, so we're moving what we can to the cloud because we think it's just going to give us better scale as we grow and better economics overall, >>Any thoughts on that? I think a similar thoughts but if we look from L. A. county because of the sheer volume itself because the data which we are talking about. We had 40 departments within the county. Each department is serving a different business purpose for the resident beit voting or B justice or being social services and all and the amount of data which we are generating for 10 million residents and the amount of duplicate asi which it comes out because it's a very government centering model. You have a different systems and they may not be talking to each other. The amount of diplomacy and identity delicacy which we are creating and as we are enabling the interoperability between these functions to give us seamless experience keeping security in mind so fully agree on that because the end of the day we have to ensure that customer guarantee but it's a sheer volume that as and when we are adding these data sets and the patient's data as well as the residents data and now we have started adding a machine data because we have deployed so many IOT solutions so the data which is coming from those machines, the logs and all its exponential so that's where the scale comes into picture and how we can ensure that we are future ready for the upscale which we need and that's where cloud ability definitely helps a lot. >>What do you mean by future ready? >>So if you look at from a future smart city or a smart community perspective, imagine when machines are everywhere machines and IOT solutions are deployed, beat even healthcare, your bad information, you're even patient information, everything is interconnected and amount of data which is getting generated in that your automobile they're going to start talking to entertainment or we have to potentially track a single resident might be going same person going to the justice or maybe same person might be having a mental health issues, A same person might be looking for a social services, how we're going to connect those dots and what all systems they are touching. So all that interconnections needs to happen. So that exponential increase of data is a future readiness, which I'm talking about. Are we future ready from a technology perspective? Are we future ready from the other ecosystem perspective and how and how we're gonna manage those situations? Uh, so those are the things which we >>look at it and it's a it's a multiplier to, right? We all have this influx of information and you need to figure out what to do with it. Right. This is where artificial intelligence, machine learning is so important. But you also have interoperability standards that are coming. So now we're we have this massive data that each of our organizations have. But now you have interoperability which is a good thing for the member saying now I need to be able to share that data. Yeah, I wanted to ask you about >>that because a lot of changes in health care, um, are meaningful use. You have to show that to get paid but the standards weren't mature. Right? And so now that's changing what role does automation play in facilitating those standards. >>So, you know, we're big, big supporters of the fire standard that's out there um to in order to be able to support the standards and and create a P. I. S. And and pull together the information. What what will happen sometimes in the background is there's actually um artificial intelligence, machine learning models that create algorithms right? The output of that though often has to be active. Now a person can do something with that information or a vodka. Right? So when you start taking the ideal of artificial intelligence and now you have a robotic process that can use that to pull together the information and assimilated in a way to make it higher quality. But now it's available. It's kind of in the background. You don't see it but it's there helping. >>What are some of the things that you see? I know we're out of time but I just have a couple more questions. Some of the things that you see here we are you I path forward for we're in person. This is a bold company that's growing very quickly. Some of the announcements that were made, what are what are some of your reaction to that? And how do you see it helping move blue crush blue shield forward even >>faster. Well you know a lot of the announcements in terms of some of the features that that they've added around their robotics processing are great right? The fact that they're in the cloud and and some of the capabilities and and and better ability to to support that the process mining is key. Right. In order for abouts to be effective, you have to understand your process and you just don't want to necessarily automate the bad practices. Right? So you want to take a look at those processes to figure out how you can automate things smartly. Um and some of their capabilities around that are very interesting. We're going to explore that quite a bit but but I think they're the ambition here is beyond robotics. Right. It's actually creating um you know, applications that actually are using bots in the background which is very intriguing and has a lot of potential potentially to drive even more digital transformation. This can really affect all of our workers and allow us to take digital solutions out to the market a lot faster >>and to see what was going to ask you, you are here for four weeks at UI Path, you got to meet a lot of your colleagues, which is great. But what about this company attracted you to leave your former role and come over here to the technology vendor side. >>Well, I think I was able to achieve the similar role within L. A. County, able to establish the automation practice and achieve the maturity, able to stand up things and I feel that this is the same practitioner activity which I can actually take it back to the other clients ceos because of one thing which I really like about your hypothesis. RP is just a small component of it. I really want to change that mindset that we have to start looking ui path as an end to end full automation enterprise solution and it is not only the business automation, it's the idea automation and it's a plus combination and whether we are developing a new industry solutions with our partners to help the different industry segments and we actually helping Ceo in the center of it because Ceo is the one who is driving the automation, enabling the business automation and actually managing the automation ceo and the governess. So CEO is in left and center of it and my role is to ensure that I actually help those Ceos to make successful and get that maturity and you will path as a platform is giving that ability of length and breath and that's what is really fascinating me and I'm really looking forward that how that spectrum is changing that we are getting matured in a process mining area and how we are expanding our horizons to look at the whole automation suit, not just the R. P. Product and that's something which I'm really looking forward and seeing that how we're going to continue expanding other magic quadrants and we're actually going to give the seamless experience so the client doesn't have to worry about okay for this, I have to pick this and further, I have to pick something else >>that's seamless experience is absolutely table stakes these days. Guys, we're out of time. But thank you so much for joining. David me, talking about automation and health care. Your recommendations for best practices, how to go about doing that and and the change management piece. That's a critical piece. We appreciate your time. >>Thanks for having. Thank >>you. Our pleasure for day Volonte. I'm lisa martin live in las Vegas. The cubes coverage of you a path forward for continues next. Mhm. Mhm mm.

>>thank you. You know, haven't been in technology my entire career. Uh, technology and data has really evolved from being the province of a few and an organization to frankly being critical to everyone's business outcomes. Now, every business leader really needs to embrace data analytics and technology. We've been talking about digital transformation. Probably the last 57 years we've all talked about disruptor be disrupted. At the core of that digital transformation is the use of data, data and analytics that we derive insights from and actually improve our decision making by driving a differentiated experience and capability into market. So Data has involved as being, I would say, almost tactical in some sense over my technology career to really being a strategic asset of what we leverage personally in our own careers, but also what we must leverage as companies to drive a differentiated capability to experience and remain relative in the market today. Mhm. >>No. Yeah, I I agree with Lisa. It has definitely become a the lifeblood of every business, right? It used to be that there were a few companies in the business of technology. Every business is now a technology business. Every business is a data business. It is the way that they go to market, shaped the market and serve their clients. Whether you're in construction, whether you're in retail, whether you're in health care doesn't matter. Right? Data is necessary for every business to survive and thrive. And I remember at the beginning my career It was you know, data was always important, but it waas about storing data. It was about giving people individual reports. It was about supplying that data toe one person or one business unit in silos, and it then evolved right over the course of time into integrating data and to saying, Alright, how does one piece of data correlate to the other? And how can I get insights out of that data now? It's gone to the point of how do I use that data to predict the future? How do I use that data toe automate the future? How do I use that data? Not just for humans to make decisions, but for other machines to make decisions right, which is a big leap, Onda big change and how we use data, how we analyze data and how we use it for insights and evolving our businesses. Yeah. >>Yeah. Well, since I'm on the snowflake board, I'll talk a little bit about the snowflake data cloud. You know, we're getting your company's data out of the silos that exist all over your organization. We're bringing third party data into combined with your own data, and we're wrapping a governance structure around it and feeding it out to your employees so that they can get their jobs done. And it's a simple is that, uh I think we've all seen the pandemic accelerate the digitization of our work. And if you ever doubted that the future of work is here, it is here. And companies are scrambling to catch up by providing the right amount of data, uh, collaboration tools, workflow tools for their workers to get their jobs done. You know, it used to be as prior, people have mentioned that in order thio work with data. You have to be a data scientist. But, you know, I was an auditor back in the day, and we used to work on 16 columns, spreadsheets. And now, if you're an accounting major coming out of college, joining an auditing firm, you have to be checked and data savvy because you're going to be extracting, manipulating, analyzing and auditing data that massive amounts of data that sit in your client's I T systems. I'm on the board of Warby Parker, and you might think that their most valuable asset is their amazing frame collection. But it's actually their data. There are 360 degree view of the customer, and so, if you're a merchant or urine strategy or marketing or talent or the co CEO, you're using data every day in your work. And so I think it's going to become a ubiquitous skill that any anyone who's a knowledge worker has to be able to work with. Data. >>Yeah, absolutely. You know, most enterprises today are, I would say, hybrid multi cloud enterprises. What does that mean? That means that we have data sitting on Prem. We have data sitting in public clouds through software. As a service applications. We have a data everywhere. Most enterprises have data everywhere. Certainly those that have owned infrastructure or weren't born on the web. One of the areas that I love that data cloud is addressing is the area around data portability and mobility because I have data sitting in various locations through my enterprise. How doe I aggregate that data to really drive meaningful insights out of that data to drive better business outcomes and a blue shield of California. One of our key initiatives is what we call an experience cube. What does that mean? It means how doe I drive transparency of data between providers, members and payers so that not only do I reduce overhead on providers and provide them a better experience our hospital systems or doctors, But ultimately, how do we have the member have at their power of their fingertips the value of their data holistically so that we're making better decisions about their health care? You know, one of the things Teresa was talking about was the use of this data, and I would drive to data democratization. We got to put the power of data into the hands of everyone, not just data scientists. Yes, we need those data scientists to help us build a I models to really drive and tackle these tough hold, tougher challenges, business problems that we may have in our environments. But everybody in the company, both on the I T side both on the business side really need to understand. Of how do we become a data insights driven enterprise? Put the power of the data into everyone's hands so that we can accelerate capabilities right and leverage that data toe ultimately drive better business results. So as a leader, as a technology leader, part of our responsibility, our leadership, is to help our companies do that. And that's really one of the exciting things that I'm doing in my role now at Blue Shield of California took, >>oh, great question. And I am so passionate about this for ah, lot of reasons, not the least of which is I have two daughters of my own. Andi, I know how important it is for women and young girls. Toe actually start early in their love for technology and data and all things digital, right? So I think it's one very important to start early start in early education, building confidence of young girls that they can do this showing them role models. You know, we have Deloitte just partnered with L. A B engineer toe actually make comic books centered around young girls and boys in the early elementary age to talk about how heroes and text solve everyday problems on DSO, really helping to get people's minds around Tech is not just in the back office coating on a computer. Tech is about solving problems together. That helped us a citizens as customers, right and as humanity s. So I think that's important. I also think we have to expand that definition of tech. As we just said. It's not just about right database design. It's not just about, you know, Java and python coding. It's about design. It's about the human machine interfaces. It's about how do you use it to solve real problems and getting people to think in that kind of mindset makes it more attractive and exciting. And lastly, I'd say, Look, we have a absolute imperative to get a diverse population of people, not just women but minorities. You know, those with other types of backgrounds, disabilities, etcetera involved because this data is being used to drive decision making, and if we're all involved right and how that data makes decisions, it can lead to unnatural biases that no one intended but can happen just because we haven't involved a diverse enough group of people around it. Absolutely. Lisa. Curious about your thoughts on this? >>I agree with everything that she has said. I've been passionate about this area. I think it starts with First. We need more role models way. Need more role models as women, uh, in these leadership roles throughout various sectors, and it really is. It starts with us and helping to pull other women forward. So I think certainly it's part of my responsibility. I think all of us as female executives that if you have exceeded the table toe leverage that seat at the table to drive change, to bring more women forward, more diversity forward into the board room and into our executive suites. I also want to touch on a point that she had made about women were the largest consumer group in the company. Um, yet we're consumers, but we're not builders. This is why it's so important that we start changing that perception of what tech is, and I agree that it starts with their young girls. We know the data shows that we lose our young girls by middle school. Very heavy peer pressure. It's not so cool to be smart to do robotics or be good in math and science. We start losing our girls in middle school, so they're not prepared when they go to high school. And they're not taking those classes in order to major in these stem fields in college. So we have to start the pipeline early, Um, with our girls. And then I also think it's a measure of what your boards air doing. What is the executive leadership in your goals around diversity and inclusion? How do we invite more diverse population to the decision making table? So it's really a combination of effort. One of the things that certainly is concerning to me is during this pandemic. I think we're losing one in four women in the workforce now because of all the demands that our families are having to navigate through through this pandemic. The last statistic I saw in the last four months is we've lost 850,000 women in the workforce. This pipeline is critical to making that change in these leadership positions. What? Yeah, >>um, I'd encourage you to view to become an active sponsor. Research shows that women and minorities are less likely to be sponsored than white men. Sponsorship is a much more active form than mentorship. Sponsorship involves helping someone identify career opportunities and actively advocating for them in those roles. Opening your network, giving very candid feedback. And we need men to participate to. There are not enough women in tech to pull forward and sponsor the high potential women that are in our pipelines. And so we need you to be part of the solution. >>Let's say Look around your teams, see who's on them and make deliberate decisions about diversifying those teams as positions. Open up. Make sure that you have a diverse set of candidates. Make sure that there are women that are part of that team on DNA. Make sure that you are actually hiring and putting people into positions based on potential, not just experience. >>Wow, it's hard Thio with Nishida and with Tricia shared, I think we're very powerful actions. I think it starts with us, uh, taken action at our own table, making sure you're driving diverse panels and hiring um, setting goals for the company. Having your board engaged in holding us accountable and driving to those goals will help us all see a better outcome with more women at the executive table and diverse populations. >>Yeah, but

>> Hi and welcome to Data Cloud catalyst Women in Tech Round Table Panel discussion. I am so excited to have three fantastic female executives with me today, who have been driving transformations through data throughout their entire career. With me today is Lisa Davis, SVP and CIO OF Blue shield of California. We also have Nishita Henry who is the Chief Innovation Officer at Deloitte and Teresa Briggs who is on a variety of board of directors including our very own Snowflake. Welcome ladies. >> Thank you. >> So I am just going to dive right in, you all have really amazing careers and resumes behind you, am really curious throughout your career, how have you seen the use of data evolve throughout your career and Lisa am going to start with you. >> Thank you, having been in technology my entire career, technology and data has really evolved from being the province of a few in an organization to frankly being critical to everyone's business outcomes. Now every business leader really needs to embrace data analytics and technology. We've been talking about digital transformation, probably the last five, seven years, we've all talked about, disrupt or be disrupted, At the core of that digital transformation is the use of data. Data and analytics that we derive insights from and actually improve our decision making by driving a differentiated experience and capability into market. So data has involved as being I would say almost tactical, in some sense over my technology career to really being a strategic asset of what we leverage personally in our own careers, but also what we must leverage as companies to drive a differentiated capability to experience and remain relative in the market today. >> Nishita curious your take on, how you have seen data evolve? >> Yeah, I agree with Lisa, it has definitely become a the lifeblood of every business, right? It used to be that there were a few companies in the business of technology, every business is now a technology business. Every business is a data business, it is the way that they go to market, shape the market and serve their clients. Whether you're in construction, whether you're in retail, whether you're in healthcare doesn't matter, right? Data is necessary for every business to survive and thrive. And I remember at the beginning of my career, data was always important, but it was about storing data, it was about giving people individual reports, it was about supplying that data to one person or one business unit in silos. And it then evolved right over the course of time into integrating data into saying, alright, how does one piece of data correlate to the other and how can I get insights out of that data? Now, its gone to the point of how do I use that data to predict the future? How do I use that data to automate the future? How do I use that data not just for humans to make decisions, but for other machines to make decisions, right? Which is a big leap and a big change in how we use data, how we analyze data and how we use it for insights and involving our businesses. >> Yeah its really changed so tremendously just in the past five years, its amazing. So Teresa we've talked a lot about the Data Cloud, where do you think we are heading with that and also how can future leaders really guide their careers in data especially in those jobs where we don't traditionally think of them in the data science space? Teresa your thoughts on that. >> Yeah, well since I'm on the Snowflake Board, I'll talk a little bit about the Snowflake Data Cloud, we're getting your company's data out of the silos that exist all over your organization. We're bringing third party data in to combine with your own data and we're wrapping a governance structure around it and feeding it out to your employees so they can get their jobs done, as simple as that. I think we've all seen the pandemic accelerate the digitization of our work. And if you ever doubted that the future of work is here, it is here and companies are scrambling to catch up by providing the right amount of data, collaboration tools, workflow tools for their workers to get their jobs done. Now, it used to be as prior people have mentioned that in order to work with data you had to be a data scientist, but I was an auditor back in the day we used to work on 16 column spreadsheets. And now if you're an accounting major coming out of college joining an auditing firm, you have to be tech and data savvy because you're going to be extracting, manipulating, analyzing and auditing data, that massive amounts of data that sit in your clients IT systems. I'm on the board of Warby Parker, and you might think that their most valuable asset is their amazing frame collection, but it's actually their data, their 360 degree view of the customer. And so if you're a merchant, or you're in strategy, or marketing or talent or the Co-CEO, you're using data every day in your work. And so I think it's going to become a ubiquitous skill that any anyone who's a knowledge worker has to be able to work with data. >> Yeah I think its just going to be organic to every role going forward in the industry. So, Lisa curious about your thoughts about Data Cloud, the future of it and how people can really leverage it in their jobs for future leaders. >> Yeah, absolutely most enterprises today are, I would say, hybrid multicloud enterprises. What does that mean? That means that we have data sitting on-prem, we have data sitting in public clouds through software as a service applications. We have a data everywhere. Most enterprises have data everywhere, certainly those that have owned infrastructure or weren't born on the web. One of the areas that I love that Data Cloud is addressing is area around data portability and mobility. Because I have data sitting in various locations through my enterprise, how do I aggregate that data to really drive meaningful insights out of that data to drive better business outcomes? And at Blue Shield of California, one of our key initiatives is what we call an Experienced Cube. What does that mean? That means how do I drive transparency of data between providers, members and payers? So that not only do I reduce overhead on providers and provide them a better experience, our hospital systems are doctors, but ultimately, how do we have the member have it their power of their fingertips the value of their data holistically, so that we're making better decisions about their health care. One of the things Teresa was talking about, was the use of this data and I would drive to data democratization. We got to put the power of data into the hands of everyone, not just data scientists, yes we need those data scientists to help us build AI models to really drive and tackle these tough old, tougher challenges and business problems that we may have in our environments. But everybody in the company both on the IT side, both on the business side, really need to understand of how do we become a data insights driven enterprise, put the power of the data into everyone's hands so that we can accelerate capabilities, right? And leverage that data to ultimately drive better business results. So as a leader, as a technology leader, part of our responsibility, our leadership is to help our companies do that. And that's really one of the exciting things that I'm doing in my role now at Blue Shield of California. >> Yeah its really, really exciting time. I want to shift gears a little bit and focus on women in Tech. So I think in the past five to ten years there has been a lot of headway in this space but the truth is women are still under represented in the tech space. So what can we do to attract more women into technology quite honestly. So Nishita curious what your thoughts are on that? >> Great question and I am so passionate about this for a lot of reasons, not the least of which is I have two daughters of my own and I know how important it is for women and young girls to actually start early in their love for technology and data and all things digital, right? So I think it's one very important to start early started early education, building confidence of young girls that they can do this, showing them role models. We at Deloitte just partnered with LV Engineer to actually make comic books centered around young girls and boys in the early elementary age to talk about how heroes in tech solve everyday problems. And so really helping to get people's minds around tech is not just in the back office coding on a computer, tech is about solving problems together that help us as citizens, as customers, right? And as humanity, so I think that's important. I also think we have to expand that definition of tech, as we just said it's not just about right, database design, It's not just about Java and Python coding, it's about design, it's about the human machine interfaces, it's about how do you use it to solve real problems and getting people to think in that kind of mindset makes it more attractive and exciting. And lastly, I'd say look we have a absolute imperative to get a diverse population of people, not just women, but minorities, those with other types of backgrounds, disabilities, et cetera involved because this data is being used to drive decision making in all involved, right, and how that data makes decisions, it can lead to unnatural biases that no one intended but can happen just 'cause we haven't involved a diverse enough group of people around it. >> Absolutely, lisa curious about your thoughts on this. >> I agree with everything Nishita said, I've been passionate about this area, I think it starts with first we need more role models, we need more role models as women in these leadership roles throughout various sectors. And it really is it starts with us and helping to pull other women forward. So I think certainly it's part of my responsibility, I think all of us as female executives that if you have a seat at the table to leverage that seat at the table to drive change, to bring more women forward more diversity forward into the boardroom and into our executive suites. I also want to touch on a point Nishita made about women we're the largest consumer group in the company yet we're consumers but we're not builders. This is why it's so important that we start changing that perception of what tech is and I agree that it starts with our young girls, we know the data shows that we lose our like young girls by middle school, very heavy peer pressure, it's not so cool to be smart, or do robotics, or be good at math and science, we start losing our girls in middle school. So they're not prepared when they go to high school, and they're not taking those classes in order to major in these STEM fields in college. So we have to start the pipeline early with our girls. And then I also think it's a measure of what your boards are doing, what is the executive leadership in your goals around diversity and inclusion? How do we invite more diverse population to the decision making table? So it's really a combination of efforts. One of the things that certainly is concerning to me is during this pandemic, I think we're losing one in four women in the workforce now because of all the demands that our families are having to navigate through this pandemic. The last statistic I saw in the last four months is we've lost 850,000 women in the workforce. This pipeline is critical to making that change in these leadership positions. >> Yeah its really a critical time and now we are coming to the end of this conversation I want to ask you Teresa what would be a call to action to everyone listening both men and women since its to be solved by everyone to address the gender gap in the industry? >> I'd encourage each of you to become an active sponsor. Research shows that women and minorities are less likely to be sponsored than white men. Sponsorship is a much more active form than mentorship. Sponsorship involves helping someone identify career opportunities and actively advocating for them and those roles opening your network, giving very candid feedback. And we need men to participate too, there are not enough women in tech to pull forward and sponsor the high potential women that are in our pipelines. And so we need you to be part of the solution. >> Nishita real quickly what would be your call to action to everyone? >> I'd say look around your teams, see who's on them and make deliberate decisions about diversifying those teams, as positions open up, make sure that you have a diverse set of candidates, make sure that there are women that are part to that team and make sure that you are actually hiring and putting people into positions based on potential not just experience. >> And real quickly Lisa, we'll close it out with you what would your call to action be? >> Wow, it's hard to what Nishita and what Tricia shared I think we're very powerful actions. I think it starts with us. Taking action at our own table, making sure you're driving diverse panels and hiring setting goals for the company, having your board engaged and holding us accountable and driving to those goals will help us all see a better outcome with more women at the executive table and diverse populations. >> Great advice and great action for all of us to take. Thank you all so much for spending time with me today and talking about this really important issue, I really appreciate it. Stay with us.

>> Hi, and welcome to Data Cloud Catalyst, Women in Tech Round Table Panel Discussion. I am so excited to have three fantastic female executives with me today who have been driving transformation through data throughout their entire career. With me today is Lisa Davis, SVP and CIO of Blue Shield of California. We also have Nishita Henry, who is the Chief Innovation Officer at Deloitte and Theresa Briggs, who is on a variety of board of directors, including our own very own Snowflake. Welcome, ladies. >> Thank you. >> Thank you. >> So I'm just going to dive right in. You all have really amazing careers and resumes behind you. I'm really curious, throughout your career, how have you seen the use of data evolve throughout your career? And, Lisa, I'm going to start with you. >> Thank you. Having been in technology my entire career, technology and data has really evolved from being the province of a few in an organization to frankly being critical to everyone's business outcomes. Now every business leader really needs to embrace data analytics and technology. We've been talking about digital transformation probably the last five, seven years, we've all talked about disrupt or be disrupted. At the core of that digital transformation is the use of data. Data and analytics that we derive insights from and actually improve our decision making by driving a differentiated experience and capability into market. So data has involved as being, I would say, almost tactical in some sense over my technology career, to really being a strategic asset of what we leverage personally in our own careers, but also what we must leverage as companies to drive a differentiated capability to experience and remain relative in the market today. >> Nishita, curious your take on how you've seen data evolve? >> Yeah, I agree with Lisa. It has definitely become the lifeblood of every business, right? It used to be that there were a few companies in the business of technology, every business is now a technology business. Every business is a data business. It is the way that they go to market, shape the market and serve their clients. Whether you're in construction, whether you're in retail, whether you're in healthcare it doesn't matter, right? Data is necessary for every business to survive and thrive. And I remember at the beginning of my career, data was always important but it was about storing data. It was about giving people individual reports, it was about supplying that data to one person or one business unit in silos. And it then evolved right over the course of time into integrating data and to saying, all right, how does one piece of data correlate to the other and how can I get insights out of that data? Now, let's go on to the point of how do I use that data to predict the future? How do I use that data to automate the future? How do I use that data not just for humans to make decisions, but for other machines to make decisions, right? Which is a big leap. And a big change in how we use data, how we analyze data and how we use it for insights in evolving our businesses. >> Yeah, it's really changed so tremendously just in the past five years. It's amazing. So Teresa, we've talked a lot about the Data Cloud, where do you think we're heading with that? And also, how can future leaders really guide their careers in data, especially in those jobs where we don't traditionally think of them in the data science space? Curious your thoughts on that? >> Yeah, well, since I'm on the Snowflake board, I'll talk a little bit about the Snowflake Data Cloud. Now we're getting your company's data out of the silos that exists all over your organization, we're bringing third party data in to combine with your own data, and we're wrapping a governance structure around it and feeding it out to your employees so that they can get their jobs done. And is as simple as that. I think we've all seen the pandemic accelerate the digitization of our work. And if you ever doubted the future of work is here, it is here. And companies are scrambling to catch up by providing the right amount of data, collaboration tools, workflow tools for their workers to get their jobs done. Now, it used to be as prior people have mentioned that in order to work with data you had to be a data scientist. But I was an auditor back in the day and we used to work on 16 columns spreadsheet. And now if you're an accounting major coming out of college joining an auditing firm, you have to be tech and data savvy because you're going to be extracting, manipulating, analyzing and auditing data, that massive amounts of data that sit in your client's IT systems. I'm on the board of Warby Parker, and you might think that their most valuable asset is their amazing frame collection, but it's actually their data, their 360 degree view of the customer. And so if you're a merchant or you're in strategy, or marketing or talent or the co-CEO, you're using data every day in your work. And so I think it's going to become a ubiquitous skill that anyone who's a knowledge worker has to be able to work with data. >> Yeah, I think it's just going to be organic to every role going forward in the industry. So Lisa, curious about your thoughts about Data Cloud, the future of it, and how people can really leverage it in their jobs from future leaders? >> Yeah, absolutely. Most enterprises today are, I would say, hybrid multi cloud enterprises. What does that mean? That means that we have data sitting on prem, we have data sitting in public clouds through software as a service applications, we have a data everywhere, most enterprises have data everywhere. Certainly those that have owned infrastructure or weren't born on the web. One of the areas that I love that Data Cloud is addressing is the area around data portability and mobility. Because I have data sitting in various locations through my enterprise, how do I aggregate that data to really drive meaningful insights out of that data to drive better business outcomes? And at Blue Shield of California, one of our key initiatives is what we call an experienced cube. What does that mean? It means how do I drive transparency of data between providers, members and payers? So that not only do I reduce overhead on providers and provide them a better experience, or hospital systems or doctors, but ultimately, how do we have the member have it their power of their fingertips the value of their data holistically, so that we're making better decisions about their health care? One of the things Teresa was talking about was the use of this data, and I would drive to data democratization. We got to put the power of data into the hands of everyone, not just data scientists. Yes, we need those data scientists to help us build AI models to really drive and tackle these tougher challenges and business problems that we may have in our environments. But everybody in the company, both on the IT side, both on the business side, really need to understand of how do we become a data insights driven enterprise. Put the power of the data into everyone's hands so that we can accelerate capabilities, right? And leverage that data to ultimately drive better business results. So as a leader, as a technology leader, part of our responsibility, our leadership is to help our companies do that. And that's really one of the exciting things that I'm doing in my role now at Blue Shield of California. >> Yeah, it's really, really exciting time. I want to shift gears a little bit and focus on women in tech. So I think in the past five to 10 years, there has been a lot of headway in this space. But the truth is women are still underrepresented in the tech space. So what can we do to attract more women into technology quite honestly. So Nishita, curious, what your thoughts are on that? >> Great question. And I am so passionate about this for a lot of reasons, not the least of which is I have two daughters of my own. And I know how important it is for women and young girls to actually start early in their love for technology, and data and all things digital, right? So I think it's one very important to start early, start an early education, building confidence of young girls that they can do this, showing them role models. We at Deloitte just partnered with Ella the Engineer to actually make comic books centered around young girls and boys in the early elementary age to talk about how heroes and tech solve everyday problems. And so really helping to get people's minds around tech is not just in the back office coding on a computer, tech is about solving problems together that help us as citizens, as customers, right? And as humanity. So I think that's important. I also think we have to expand that definition of tech, as we just said. It's not just about, right? Database design. It's not just about Java and Python coding, it's about design. It's about the human machine interfaces. It's about how do you use it to solve real problems and getting people to think in that kind of mindset makes it more attractive and exciting. And lastly, I'd say look, we have absolute imperative to get a diverse population of people, not just women, but minorities, those with other types of backgrounds, disabilities, etc involved. Because this data is being used to drive decision making, and if we are not all involved, right? In how that data makes decisions, it can lead to unnatural biases that no one intended but can happen just 'cause we haven't involved a diverse enough group of people around it. >> Absolutely. Lisa, curious about your thoughts on this. >> I agree with everything Nishita said. I've been passionate about this area, I think it starts with first we need more role models. We need more role models as women in these leadership roles throughout various sectors. And it really is it starts with us and helping to pull other women forward. So I think certainly, it's part of my responsibility, I think all of us as female executives that if you have a seat at the table to leverage that seat at the table to drive change, to bring more women forward, more diversity forward into the boardroom and into our executive suites. I also want to touch on a point Nishita made about women, we're the largest consumer group in the company yet we're consumers, but we're not builders. This is why it's so important that we start changing that perception of what tech is. And I agree that it starts with our young girls. We know the data shows that we lose our young girls by middle school. Very heavy peer pressure, it's not so cool to be smart, or do robotics, or be good at math and science. We start losing our girls in middle school. So they're not prepared when they go to high school and they're not taking those classes in order to major in the STEM fields in college. So we have to start the pipeline early with our girls. And then I also think it's a measure of what your boards are doing. What is the executive leadership and your goals around diversity and inclusion? How do we invite more diverse population to the decision making table? So it's really a combination of efforts. One of the things that certainly is concerning to me is during this pandemic, I think we're losing one in four women in the workforce now, because of all the demands that our families are having to navigate through this pandemic. The last statistic I saw in the last four months is we've lost 850,000 women in the workforce. This pipeline is critical to making that change in these leadership positions. >> Yeah, it's really a critical time. And now we're coming to the end of this conversation, I want to ask you Teresa, what would be a call to action to everyone listening, both men and women since its needs to be solved by everyone, to address the gender gap in the industry? >> I'd encourage each of you to become an active sponsor. Research shows that women and minorities are less likely to be sponsored than white men. Sponsorship is a much more active form than mentorship. Sponsorship involves helping someone identify career opportunities and actively advocating for them in those roles, opening your network, giving very candid feedback. And we need men to participate too. There are not enough women in tech to pull forward and sponsor the high potential women that are in our pipelines. And so we need you to be part of the solution. >> Nishita real quickly, what would be your call to action to everyone? >> I'd say look around your teams, see who's on them and make deliberate decisions about diversifying those teams. As positions open up, make sure that you have a diverse set of candidates, and make sure that there are women that are part of that team. And make sure that you are actually hiring and putting people into positions based on potential not just experience. >> And real quickly Lisa, will close it out with you, what would your call to action be? >> Well, it's hard to... What Nishita and what Teresa shared I think were very powerful actions. I think it starts with us. Taking action at our own table, making sure you're driving diverse panels and hiring, setting goals for the company. Having your board engaged and holding us accountable and driving to those goals, will help us all see a better outcome but with more women at the executive table and diverse populations. >> Great advice and great action for all of us to take. Thank you all so much for spending time with me today and talking about this really important issue. I really appreciate it. Stay with us.

>> Hi, and welcome to data cloud catalyst women in tech round table panel discussion. I am so excited to have three fantastic female executives with me today who have been driving transformation through data throughout their entire career. With me today is Lisa Davis SVP and CIO of Blue Shield of California. We also have Nishita Henry who is the chief innovation officer at Deloitte and Teresa Briggs, who is on a variety of board of directors, including our very own Snowflake. Welcome, ladies. >> Thank you. So I'm just going to dive right in. You all have really amazing careers and resumes behind you. I'm really curious, throughout your career, how have you seen the use of data evolve throughout your career? And Lisa, I'm going to start with you. >> Thank you. Having been in technology my entire career, technology and data has really evolved from being the province of a few in an organization to frankly being critical to everyone's business outcomes. But now every business leader really needs to embrace data analytics and technology. We've been talking about digital transformation probably the last five, seven years. We've all talked about disrupt or be disrupted. At the core of that digital transformation is the use of data, data, and analytics that we derive insights from and actually improve our decision-making by driving a differentiated experience and capability into market. So data has involved as being, I would say, almost tactical in some sense over my technology career to really being a strategic asset of what we leveraged personally in our own careers, but also what we must leverage as companies to drive a differentiated capability to experience and remain relative in the market today. >> Nishita curious your take on, how you've seen data evolve? >> Yeah, I agree with Lisa, it has definitely become the lifeblood of every business, right? It used to be that there were a few companies in the business of technology. Every business is now a technology business. Every business is a data business. It is the way that they go to market, shape the market and serve their clients. Whether you're in construction, whether you're in retail, whether you're in healthcare doesn't matter, right? Data is necessary for every business to survive and thrive. And I remember at the beginning of my career, data was always important, but it was about storing data. It was about giving people individual reports. It was about supplying that data to one person or one business unit in silos. And it then evolved right over the course of time and to integrating data and to saying, all right, how does one piece of data correlate to the other? And how can I get insights out of that data? Now let's go on to the point of how do I use that data to predict the future? How do I use that data to automate the future? How do I use that data not just for humans to make decisions but for other machines to make decisions, right? Which is a big leap and a big change in how we use data, how we analyze data and how we use it for insights and evolving our businesses. >> Yeah. It's really changed so tremendously, just in the past five years, it's amazing. So Teresa, we've talked a lot about the data cloud, where do you think we're heading with that? And also how can future leaders really guide their careers in data, especially in those jobs where we don't traditionally think of them in the data science space, curious your thoughts on that. >> Yeah. Well, since I'm on the Snowflake board, I'll talk a little bit about the Snowflake data cloud that we're getting your company's data out of the silos that exist all over your organization. We're bringing third party data in to combine with your own data and we're wrapping a governance structure around it and feeding it out to your employees so that they can get their jobs done. And it's as simple as that, I think we've all seen the pandemic accelerated the digitization of our work. And if you ever doubted that the future of work is here, it is here. And companies are scrambling to catch up by providing the right amount of data, collaboration tools, workflow tools for their workers to get their jobs done. Now it used to be, as prior, people have mentioned that in order to work with data, you had to be a data scientist. But I was an auditor back in the day and we used to work on 16 columns spreadsheet. And now if you're an accounting major coming out of college, joining an auditing firm, you have to be tech and data savvy because you're going to be extracting, manipulating, analyzing, and auditing data. That massive amounts of data that sit in your client's IT systems. I'm on the board of Warby Parker. And you might think that their most valuable asset is their amazing frame collection but it's actually their data. There are 360 degree view of the customer. And so if you're a merchant or you're in strategy or marketing or talent or the co-CEO, you're using data every day in your work. And so I think it's going to become a ubiquitous skill that any anyone who's a knowledge worker has to be able to work with data. >> Now, I think it's just going to be organic to every role going forward in the industry. >> So Lisa curious about your thoughts about data cloud, the future of it, and how people can really leverage it in their jobs from future leaders. >> Yeah, absolutely. Most enterprises today are, I would say, hybrid multi-cloud enterprises. What does that mean? That means that we have data sitting on prem. We have data sitting in public clouds through software, as a service applications. We have a data everywhere. Most enterprises have data everywhere. Certainly those that have owned infrastructure or weren't born on the web. One of the areas that I'd love that data cloud is addressing is the area around data portability and mobility. Because I have data sitting in various locations through my enterprise, how do I aggregate that data to really drive meaningful insights out of that data to drive better business outcomes. And at Blue Shield of California, one of our key initiatives is what we call an experience cube. What does that mean? It means how do I drive transparency of data between providers and members and payers so that not only do I reduce overhead on providers and provide them a better experience or hospital systems or doctors, but ultimately how do we have the member have at their power of their fingertips the value of their data holistically so that we're making better decisions about their healthcare? One of the things Teresa was talking about was the use of this data. And I would drive to data democratization. We got to put the power of data into the hands of everyone, not just data scientists. Yes, we need those data scientists to help us build AI models to really drive and tackle these tougher challenges and business problems that we may have in our environments. But everybody in the company, both on the IT side, both on the business side, really need to understand of how do we become a data insights driven enterprise, put the power of the data into everyone's hands so that we can accelerate capabilities, right? And leverage that data to ultimately drive better business results. So as a leader, as a technology leader, part of our responsibility, our leadership is to help our companies do that. And that's really one of the exciting things that I'm doing in my role now at Blue Shield of California. >> Yeah. It's really, really exciting time. I want to shift gears a little bit and focus on women in tech. So I think in the past 5 to 10 years there has been a lot of headway in this space but the truth is women are still underrepresented in the tech space. So what can we do to attract more women into technology? Quite honestly. So Nishita curious what your thoughts are on that? >> Great question. And I am so passionate about this for a lot of reasons, not the least of which is I have two daughters of my own and I know how important it is for women and young girls to actually start early in their love for technology and data and all things digital, right? So I think it's one very important to start early, starting early education, building confidence of young girls that they can do this, showing them role models. We at Deloitte just partnered with LOV engineer to actually make comic books centered around young girls and boys in the early elementary age to talk about how heroes in techs solve everyday problems. And so really helping to get people's minds around tech is not just in the back office, coding on a computer, tech is about solving problems together that help us as citizens as customers, right? And as humanity. So I think that's important. I also think we have to expand that definition of tech as we just said, it's not just about database design. It's not just about Java and Python coding. It's about design, it's about the human machine interfaces. It's about how do you use it to solve real problems and getting people to think in that kind of mindset makes it more attractive and exciting. And lastly, I'd say, look we have a absolute imperative to get a diverse population of people, not just women but minorities, those with other types of backgrounds, disabilities, et cetera, involved because this data is being used to drive decision-making, and if we're all involved and how that data makes decisions, it can lead to unnatural biases that no one intended but can happen just 'cause we haven't involved a diverse enough group of people around it. >> Absolutely. Lisa, I'm curious about your thoughts on this. >> Oh, I agree with everything Nishita said. I've been passionate about this area. I think it starts with first, we need more role models. We need more role models as women in these leadership roles throughout various sectors. And it really is, it starts with us and helping to pull other women forward. So I think it certainly it's part of my responsibility. I think all of us as female executives that if you have a seat at the table to leverage that seat at the table to drive change to bring more women forward, more diversity forward into the boardroom and into our executive suites. I also want to touch on a point Nishita made about women. We're the largest consumer group in the company yet we're consumers, but we're not builders. This is why it's so important that we start changing that perception of what tech is. And I agree that it starts with our young girls. We know the data shows that we lose our young girls by middle school, very heavy peer pressure. It's not so cool to be smart or do robotics or be good at math and science. We start losing our girls in middle school. So they're not prepared when they go to high school and they're not taking those classes in order to major in these STEM fields in college. So we have to start the pipeline early with our girls. And then I also think it's a measure of what your boards are doing. What is the executive leadership and your goals around diversity and inclusion? How do we invite more diverse population to the decision-making table? So it's really a combination of efforts. One of the things that certainly is concerning to me is during this pandemic, I think we're losing one in four women in the workforce now because of all the demands that our families are having to navigate through this pandemic. The last statistic I saw in the last four months is we've lost 850,000 women in the workforce. This pipeline is critical to making that change in these leadership positions. >> Yeah, it's really a critical time. And now we're coming to the end of this conversation. I want to ask you Teresa, what would be a call to action to everyone listening, both men and women since it needs to be solved by everyone to address the gender gap in the industry. >> I'd encourage to you to become an active sponsor. Research shows that women and minorities are less likely to be sponsored than white men. Sponsorship is a much more active form than mentorship. Sponsorship involves helping someone identify career opportunities and actively advocating for them in those roles, opening your network, giving very candid feedback. And we need men to participate too. There are not enough women in tech to pull forward and sponsor the high potential women that are in our pipelines. And so we need you to be part of the solution. >> Nishita, real quickly, what would be your call to action to everyone? >> I'd say, look around your teams, see who's on them and make deliberate decisions about diversifying those teams, as positions open up, make sure that you have a diverse set of candidates. Make sure that there are women that are part of that team and make sure that you are actually hiring and putting people into positions based on potential, not just experience. >> And real quickly, Lisa, we'll close it out with you. What would your call to action be? >> Well, it's hard to, but Nishita and what Teresa shared, I think were very powerful actions. I think it starts with us taking action at our own table, making sure you're driving diverse panels and hiring, setting goals for the company, having your board engaged and holding us accountable and driving to those goals will help us all see a better outcome with more women at the executive table and diverse populations. >> So I want to talk to you all about a pivotal moment in your career. It could have been a mentorship. It could have been maybe a setback in your career or maybe a time that you really took a risk and it paid off big, something that really helped define your career going forward. Curious what those moments were for you all in your career. Teresa, we'll start with you. >> Sure. I had a great sponsor and he was a white male by the way. He identified some potential in me when I was early in my career about five years in and he really helped pave the way for a number of decisions I made along the way to take different roles in the firm. I was at Deloitte, he's still in my life today. We get together a couple of times a year. And even though we're both retired from Deloitte, we still have that relationship and what that tell me was how to be a great sponsor. And so one of the most satisfying things I did in my career was when I finally got to the place where I was no longer reaching for the next rank of the ladder for myself, I got to turn around and pull through all of these amazing future leaders into roles that were going to help them accelerate their careers. >> What about you, Lisa? >> I think there's been many of those moments. One I'll speak about is having spin 20, 25 years in technology, I had spent my first career in department of defense, moved over to academia and then went to a high-tech firm on their IT side, really in hopes of getting the CIO role having been a CIO, I did not get the CIO role, and really had a decision to make. One of the opportunities that was presented to me was to move to the business side to run a $9 billion P&L on one of the core business units within the company. And of course, I was terrified. It was a very risky decision having never run a P&L before and not starting small going right to the billion dollar mark in terms of (laughs) what that would look like. And frankly decided to seize that opportunity and I've certainly learned in my career that those opportunities that really push you out of your comfort zone that take you down a really completely different path or where the greatest opportunities for growth and learning occur. So I did that role for three and a half years before coming into my current role back to a CIO role at Blue Shield of California in healthcare, and just a tremendous amount of learning, having been on the business side and managing a P&L that I now apply to how I engage with my partners at Blue Shield. >> I couldn't agree more. I think forcing yourself out of that comfort zone is so critical for learning and driving your career for sure. Nishita, what about you? >> Yeah, I agree. Lots of pivotal moments, but I'll talk about one very early in my career, actually was an intern and one of my responsibilities was to help research back then facial recognition technology. And I had to go out there and evaluate vendors and take meetings with vendors and figure out, all right, which ones do we want to actually test? And I remember I was leading a meeting, two of my kind of supervisors were with us. And I know I went through the list of questions and then the meeting kind of ended. And I didn't speak up at that point in time to kind of say here are the next steps or here's what I recommend. I kind of looked at my supervisors to do that. Just assuming they should be wrapping it up and they should be the ones to make a final decision or choice. And after that meeting, he came to me and he's like you know Nishita you did a really nice job in bringing these technologies forward but I wish you would have spoken up because you're the one who've done the most research. And you're the one who has the most background on what we should do next. Next time don't stand by and let someone else be your voice. And it was so powerful for me and I realized, wow, I should have more confidence in myself to be able to actually use my voice and do what I was asked to do versus leave it to someone else because I assumed that I was too junior or I assumed I didn't have enough experience. So that was really pivotal for me early in my career to learn how to use my voice. >> I'm really curious for you, Nishita. What drew you to the industry of data? What was something when you were young that drew you into that space? >> Yeah. So my background is actually in engineering and it's actually funny. It's an electrical engineering and I probably couldn't do another thermal dynamics equation to save my life anymore (laughs). But what drew me to technology was problem solving, right? It was all about how do I take a bunch of data and information and create a new solution, right? Whether it was, how do I create a device? I remember in college, right? Creating a device to go down stadium steps and clean, right? How do I take data for how this machine will interact with the environment in order to create it? So I always viewed it as problem solving and that's what has always attracted me into the field. >> That's great. So, Teresa, I'm curious, at what point did you feel that you really found your voice in your career, in yourself as a part of your professional life? >> Yeah. About 12 years into my career I started working as an M&A partner and I was working with a private equity firm along with their lawyers and other advisors, bankers and so forth. And what I realized in that situation was that I was the expert in what I did. And so, I mean, I found my voice before that in many other ways but that was sort of a moment where I felt like, "I'm here to deliver an expertise to this group of people. And none of them have the expertise that I have. And so I need to just stand firm in my shoes and deliver that expertise with confidence." So that was my example. >> That's great. Well, Lisa, what about you? What was that moment that you felt that you just found your voice kind of in your groove and that confidence kicked in? >> No, I don't know if it was exactly a moment but it was certainly a realization. Right out of college, I was working for the federal government in department of defense and certainly male dominated. And through that realized that to be heard, I had to become very good at what I do. So I built that confidence, frankly, by delivering results and capability and becoming an expert in the work, essentially the services that I provide. And when you become very good at what you do, regardless of what you look like, then people will start to listen. So I think it starts with delivering results. I think you have to build your confidence and through that you find to use your voice so that you are being heard, having worked in department of defense and academia and high tech, I've had to leverage that throughout my entire career ultimately for my voice to be heard, and to be represented within the roles that I was playing. >> That's great. I know one of the things that we've also talked about is just the value, the business value, the importance of having a diverse workforce and a diverse team and the value that that brings to the outcomes. What are some of your strategies to create those types of teams? What, as leaders in your company, you manage a team and what is your advice to them, your strategies to get a diverse pool of candidates and a diverse team. Nishita, what about you? >> I think it's looking beyond what the individual role is, right? So a lot of times we have a role description and you want these certain skills and so (indistinct), or you get a certain set of candidates. I think it's taking a step back and saying, "What are the objectives of my team? What am I trying to accomplish? What types of business acumen do I need on that team? What types of tech acumen, what types of personalities? Do I want people who know how to work with others and therefore bring them together? Do I need people who are also drivers and know how to get things done, right?" It's finding the right chemistry. We have a business chemistry, talk track around. We don't need all different kinds to make a really good team. So I think it's taking a step back and understanding what you need the makeup of your team to be, understanding the hard skills and the soft skills. And then thinking about what are all the sources you could really go to for them and being a little bit non-traditional and saying, "Do I need a full-time person all the time to do this job that's sitting here? Can I be more diverse in finding people from the crowd? Can I have part-time resources? Can I use different pieces and parts of the ecosystem to actually bring together the full team that represents the diversity?" It's just expanding our mind and stop thinking about a role to person, start thinking about it as the makeup of a team, to the outcome you desire. >> It's really about being creative and just thinking in new ways. Teresa, I'm super curious, since you sit on a bunch of different boards, what kind of strategies do you see companies taking to attract different talent? >> So I can address that from the board lens, for sure. And boards are probably one of the least diverse bodies in business right now, but that is changing, and for the better, obviously they were traditionally kind of white male dominated. And then we've had this wave of women joining boards. And now we're starting to see a wave of diverse individuals join boards. And with each person who's diverse that joins a board that I'm on, the dynamic of the discussion changes because they bring a different perspective. They bring a different way of thinking. They came from a different background or a different functional skillset or a different geography or you name, whatever element of diversity you want to see. We just added the head of Apple music to the service in our board. And so you might scratch your head and say, "Wow, the head of Apple music and an enterprise software company that is a B2B software company." But he thinks deeply about how the end user consumes in his case content and in our case software. And so he's able to bring just a completely different perspective to the discussion we have at the board table. And I think at the end of the day, that's what diversity is all about, is improving the outcome of whatever it is. If you're producing something or making important decisions like we do in board rooms. >> That's amazing. Lisa, real quickly, what are some of your strategies? >> Yeah. Well, we know diverse teams actually produce better business results. So there's no reason, there's absolutely no reason why we shouldn't think in that lens. I think it starts with our hiring and the makeup of our teams. I think it requires more than creativity though. You have to be very purposeful. I'm in the process of hiring four leadership positions on my team. And it's really to me, almost like a puzzle piece of diverse perspectives and knowledge and capabilities that come together that ultimately create a high performing team. But I can't tell you how many times I got to go back to HR and say, "I need to see more diverse talent. Are there any more women in the pool?" One of the things we've struggled, we have to get more women into the roles is, and we heard this from Sheryl Sandberg, as women, we feel we need to meet every qualification on an application. Whereas men, "I got a couple I'm good to go." And they throw their name in the hat. They take much more risk than we do as women. So we need to encourage our women to get out of your comfort zone. You don't need to meet every qualification. What Nishita was saying of thinking more broadly about what this role requires and the type of individual that we're looking for, but be purposeful in terms of driving to diversity as our end result. >> That is so true. What you just said. Thank you so much for sharing your insights. It's really interesting to hear all your strategies and thanks for sharing. >> And you're clear.

>> Hello, my name is Petar Bojovic, director of technology infrastructure from Blue Cross Blue Shield of North Carolina. I have been with this organization for over three years and I own system engineering across private and public cloud, virtualization, OS, backup, storage, OpenShift platform, and automation. I have been implementing significant change improving our operating model since I arrived. Blue Cross Blue Shield North Carolina is transforming healthcare by changing the current model. We are focusing on something called value-based healthcare. Traditionally, healthcare model is typically a fee for service or capitated approach in which providers are paid based on the amount of health care services they deliver. Fee for service versus outcome. So when you go to a doctor and you do an office visit, they charge you for every item that they see you with. Based on that, they send that to my organization to adjudicate those claims. Value-based healthcare, on the other hand is a healthcare delivery model in which providers, including hospitals and physicians, are paid based on patient health outcomes. The value in value-based healthcare is derived from measuring health outcomes against the cost of delivering those outcomes. Well, we want to do the same and derive value out of IT as well. Significant value can be attained through automation on all levels. Just like most journeys, mine began with motivation. Let's talk about how I got here, how did I get started and how you can do it too. But first let's talk about Ansible. The automation engine is designed to provide an easy, reusable and platform-independent vehicle to automate complex and repetitive tasks. First off, Ansible is an open-source tool. It is very simple to use and set up. Even better, it's extremely powerful and flexible. You can orchestrate the entire application environment, no matter where it's deployed. You can also customize it based on your needs. Back in 2018, we had to build 150 jump server VMs in under 24 hours. Well, we leveraged some of the cobbled automation tools and scripts to get this done within that timeline. Without leveraging these tools and automation, this would have taken at least a week to facilitate the build. So a couple key takeaways from that exercise. Number one, this was awesome. All right, number two. We saw amazing potential in automation. Number three, we ran into network and other related build issues. Number four, we were unsure what to do next and where to focus within the realm of automation. So fast forward to May, 2019. My infrastructure engineering team introduced infrastructure automation software, you guessed it, Ansible to Blue Cross North Carolina to reduce overall IT costs, increase agility, productivity, and delivery while reducing delays and reliance on outside managed service providers or those repetitive manual tasks. So in the past, to provision a single server or virtual machine would take a minimum of 10 business days. That's not the overall process. That is just the deployment, would take 10 business days and over 20 hours of work, resulting in a cost of approximately $3,300 in charges per build. That's over $3,000 per build per server. However, with the automation platform provided by Ansible, this effort was significantly reduced. Reduced to under one business day, a half-hour worth of work and zero managed service provider charges. Let's fast forward a bit, to middle to late 2019. Blue Cross North Carolina decided to re-host the Facets application platform in-house within our co-locations. Well, Facets is a claim adjudication platform. After a medical claim is submitted, the insurance company Blue Cross determines their financial responsibility for the payment to the provider. This process is referred to as claims adjudication. Blue Cross was faced with the requirement to create roughly 1000 virtual machines as quickly as possible across all regions. Development, tests, training, QA, UAT, P stage, a staging environment, production, NDR. Well, our current managed service provider projected requiring 12 dedicated staff members and 16 weeks to process this request. Nope. There had to be a better way. By leveraging automation, the existing infrastructure engineering team was able to successfully provision all the required servers across three business days, in a total of 16 hours as well as nine weeks ahead of the project plan schedule, resulting in a cost avoidance of over $850,000. That's amazing, isn't it? Well, since then, the infrastructure engineering team has continued to use automation to assist teams both inside and outside of IT by reducing hours spent on repetitive tasks. Automation has increased the speed and accuracy of account creation, security hardening, and remediations, environment-wide configuration changes and software agent installations, just to name a few. This implementation had a significant positive impact on cost savings and cost avoidance and how quickly we can deliver and deploy infrastructure for projects. How were we able to implement this meaningful change? Well, I'll tell you, we started to evangelize and convert those naysayers to the wonderful world of automation. "Automate everything" was our mantra, even automate the automation. We'll eventually get there. It took a top-down approach to really accelerate use and adoptions. I spoke to anyone and everyone I could, my VP did the same, and even my CIO, Jo Abernathy. She started touting how important automation will be to the organization, its value, and how we can stay competitive and deploy faster and deliver at the speed of innovation. Wow, just wow. With a top-down approach for automation, we are empowering teams throughout the business to focus on those areas that are ripe for automation. Repetitive mundane tasks, those that are time delays are ideal candidates and allow these teams to focus on their core workload, versus time spent on those repetitive tasks. We are flaunting our automation successes within IT infrastructure to other departments in IT and the business at large. These conversations are opening up new possibilities to empower team members to leverage automation to deploy and deliver more quickly to meet the demand of enterprise projects and initiatives. Since its inception, the team has delivered on every project request ahead of schedule for infrastructure build, think about that. Every project request has been delivered ahead of schedule from an infrastructure perspective. That's fantastic. Well, automation is not new to the company, my company, nor yours. There's many tools, we use scripting, there's a lot available, but with Ansible and the way we've been able to implement it and make meaningful impact quickly, is new to the industry. We have been able to automate and reap significant cost avoidance in a short amount of time. Other similarly-sized companies are leveraging the same tool for longer and are not able to accomplish as much as we did in a short of time. We had motivation. Since starting this initiative, we are averaging cost avoidances in excess of $250,000 monthly. As difficult as it is to implement something new in most companies, the team implemented this capability and way of thinking within months. The sheer dedication to the business objective and the can-do attitude allowed us to be extremely successful. Thank you very much for your time and allowing me to tell my story.

>> Announcer: Live from New York City, it's theCube covering Cyber Connect 2017. Brought to you by Centrify and The Institute for Critical Infrastructure Technology. >> Okay, welcome back everyone, this is a live Cube coverage here in New York City at the Grand Hyatt Ballroom. I'm John Furrier with my co-host Dave Vellante. This is Cyber Connect 2017, the inaugural conference of a new kind of conference bringing industry and government and practitioners together to solve the crisis of this generation, according to Keith Alexander, who was on stage earlier. Our next guest is the CEO of the company that's under running this event, Tom Kemp, co-founder and CEO of Centrify. Congratulations, Tom, we met, we saw you last week, came in the studio in Palo Alto. Day one was coming to a close. Great day. >> Yeah, it's been amazing, we've had over 500 people here. We've been webcasting this, we have 1,000 people. And, of course, we've got your audience as well. So, clearly, over 2,000 people participating in this event, so we're really pleased with the first day turn-out. >> So, I would say this is, like, a new kind of event, a little bit different than most events in the business. Response has been very well received, sold out, packed house, I couldn't get a chair, strolled in, not late, but, I mean, you know, towards the end of your Keynote. This is the dynamic, there's demand for this. Why is this so popular? You guys had a good hunch here, what's been the feedback? >> Well, the feedback's been great, first of all. But, the reality is, is that, organizations are spending 10% more per year on security but the reality is the breaches are growing 40 to 70% per year. So, no matter how much money they're throwing at it, the problem's getting worse, and so people are, for the most part, kind of throwing up their hands and saying, how can we re-think security as well? So, I think there's just a complete hunger to hear best practices from some of the top CSO's. You know we had US bank CSO, we had Etna, Blue Cross Blue Shield, etcetera. What are these guys doing to keep their data secure and make sure that they don't make headlines? >> So, I want to ask you a question on the business front, obviously we saw last week, Alphabet, AKA Google, Twitter and Facebook in front of the Setna committee, around this influence thing going on with the media, still an exploit, but a little bit different than pay load based stuff we're normally seeing with security hacks, still relevant, causes some problems, you guys have been very successful in Washington. I'm not saying you're lobbying, but as a start up, you ingratiated yourself into the community there, took a different approach. A lot of people are saying that the tech companies could do a better job in D.C., and a lot of the times Google and these treasure troves of data, they're trying to figure it out. You took a different approach and the feedback we heard on theCube is working. You guys are well received in there, obviously the product, good timing to have an identity solution, and zero trust philosophy you have. Well, you did something different. What was the strategy? Why so much success in D.C. for Centrify? >> Well, we actually partnered with the IT folks and the security people. I mean, we actually spent a lot of time on site, talking with them, and actually, we built a lot of capabilities for what the government was looking to address from an identity access security perspective. That's just the reality of the situation. And so, we took a long haul view, we've done very great in the, two of our largest customers are intelligence agencies, but we actually have over 20% of our sales that goes to the federal government, state and local as well. So, you really can't just go in there, spend a lot of money, do a lot of hype. You actually have to roll up your sleeves and help them solve the mission. They call it the mission, right, they have mission, and you got to be focused on how you can address them and work with the technologist out there to make sure, so it was just, really just blocking and tackling the ground game, >> So common sense sounds like, just do the work. >> Yeah, do the work, really listen. And think about it as a multi-year investment, right? I mean, in a lot of start ups, they just, like, oh, can't get the sale, move on, right. But you actually have to realize, especially in security, that most tech companies that have a big security presence, they should get 15-20% of their business from the US government. >> That's a big bet for you guys, were you nervous at first? I mean, obviously, you have confidence now looking back, I mean, it must've been pretty nerve wracking because it's a big bet. >> It's a big bet because you also have to meet certain government standards and requirements. You got to get FIP certification, you got to get common criteria, in the cloud, you got to get FedRAMP, and that means you also have to have customers in the federal government approve you and bring you in and then you have to go through the lengthy audit process. And we're actually about to get our FedRAMP certification, just passed the audit and that's going to be coming up pretty soon as well. So, yeah, to go get common criteria, to get FedRAMP, you have to spend a million dollars for those types of certifications. At the same time, working with the large federal agencies. >> So Tom, you gave us the numbers, 10% more spending every year on security but breaches are up 40 to 70%, you said in your talk that's two trillion dollars in lost dollars, productivity, IP, etcetera, so obviously it's not working, you've mentioned a number of folks in here talking today. What's their mindset? Is their mindset this is a do-over? Or, is it, just we got to do a better job? >> I think we're getting to the point where its' going to be a do-over. And I think, first of all, people realize that the legacy technology that they have have historically focused on premises. But, the world's rapidly moving to the cloud, right? And so, you need to have cloud-based scale, a cloud-based architecture, to deliver security nowadays because the perimeter is completely going away. That's the first thing. And, I think there's also realization that there needs to be Big Data machine learning applied to this. And you guys talk about this all the time, the whole rise of Big Data. But, security is probably the best vertical. >> Data application. >> Exactly, it's probably the best vertical, because you need real-time instantaneous should I let this person come into the system or not, right? Or, over time, is this, does this represent malicious activity as well? So, I think people are realizing that what they've been doing's not working, they realize they're moving to the cloud, they need to adopt cloud, to, not only secure cloud, but have their technology be based in the cloud and they need to apply machine learning to the problem as well. >> So, in your talk, you talked about a paradigm shift, which I inferred as a mindset shift in how security practices in technologies should be applied, you got to lot of content in there. But could you summarize for our audience sort of the fundamentals? >> Well, the first fundamental is, is that the attack vector is completely changed, right? Before, it was all about vulnerabilities that someone hadn't patched this latest version of Windows, etcetera. Those problems are really solved, for the most part. I mean, occasionally it kind of pops in now and then, but for the most part, enterprises and governments are good about patching systems etcetera. You don't hear about sequel injections anymore. So, a lot of those problems have been resolved. But, where the attackers are going, they're going after the actual users, and so, I know you had the Verizon folks here on theCube, and if you look at the latest Verizon data breacher port, eight out of 10 breaches involve stolen and compromised credentials, right? And that has grown over the last few years from 50% to 60% now to over 80%. Look at the election, right? You talk about all this Twitter stuff and Facebook and all that stuff, it's John Podesta's emails getting stolen, it's the democrat's emails getting stolen, and you know, now that people have the Equifax data, they've got even more information to help figure out-- >> Social engineering is a big theme here. >> Absolutely. >> They have this data out on the dark web, this methodologies and there's also, you know, we talked with the critical interset guys that you're partnering with about all the terrorism activity, so, there's influence campaigns going on that are influencing through social engineering, but that data's being cross connected for, you know, radicalizing people to kill people in the United States. >> Well, there's that. And then there's nation states, there's insiders. So, the reality is, is that, it turns out from a security perspective, that we, the humans, we're the weakest link in this. And so, yes, there needs to be process, there needs to be technology, there needs to be education here as well. But the reality is that the vast majority of spin on security is for the old stuff, it's like we're trying to fight a land war in Asia, and that's how we're investing, we're still investing in M1 tanks in security, but the reality is that 80% of the breaches are occurring because they're attacking the individuals. They're either fooling them, or stealing it by some means or mechanisms, and so the attack vector is now the user. And that's this, and people are probably spending less than 10% securing the users, but it represents 80% of the actual attack vector. >> Talk about the general, you've had some one-on-one times with him, he's giving a keynote here, gave a keynote this morning, very inspiring. I mean, I basically heard him pounding on the table, "we don't fix this mess, You know, we're going to be in trouble, it's going to be worse than it is!" Think differently, almost re-imagining, his vibe was almost about let's re-imagine, let's partner, let's be a community. What else can you share with you interaction with him? I know he's a very rare to get to speak, but you know, running the cyber command for the NSA, great on offense, we need work on defense. What have you learned from him that industry could take away? >> Yeah, I think you hit it, which is, and I didn't realize that there's a bigger opportunity here, which is, is that in real time, there needs to be more sharing among like constituents. For example, in the energy industry, these organizations, they need to come together and they need to share, not only in terms of round tables, but they actually need to share data. And it probably needs to happen in the cloud, where there's the threats, the attacks that are happening in real time, need to be shared with their peers in the industry as well. And so, and I think government needs to also play a part in that as well. Because each of us, we're trying to fight the Russians, right? And the Chinese and the North Koreans, etcetera and a enterprise just can't deal with that alone and so they need to band together, share information, not only from an educational, like we have today, but actually real time information. And then again, leverage that machine learning. That artificial intelligence to say, "wait a minute, we've detected this of our peers and so we should apply some preventative controls to stop it." >> And tech is at the center of the government transformation more than ever. And again, Twitter, Facebook, and Alphabet in front of the senate, watching them, watching the senators kind of fumbling with the marbles. You know, hey, what's Facebook again? I mean, the magnitude of the data and the impact of these new technologies and with Centrify, the collision between government and industry is happening very rapidly. So, the question is that, you know, how will you guys, seeing this going forward, is it going to be, you know, the partnership as they come together fast or will more mandates come and regulations, which could stifle innovations, so, there's this dimension going on now where I see the formation of either faster partnership with industry and government, or, hey industry, if you don't move fast enough poof, more regulations. >> And that's also what the general brought up as well, is that if you guys don't do something on your own, if you don't fix your own problems, right, then the government's going to step in. Actually, that's what's already starting to happen right now, that if Facebook, Twitter, all these other social networks are not going to do something about foreign governments advertising on their platform, they're going to get regulated. So, if they don't start doing something. So, it's better to be in front of these things right here, the reality is that, yes, from a cyber security in terms of protecting users, protecting data, enterprise needs to do more. But, you know what, regulations are starting to already occur, so, there's a major regulation that came out of New York with the financial services that a lot of these financial firms are talking about. And then in Europe, you got GDPR, right? And that goes into effect I think in May of next year. And there's some serious finds. It could be up to four percent of your revenue as well, while, in the past, the kind of, the hand slaps that have happened here, so if you do business in Europe, if you're a financial services firm doing business in New York. >> People are going to run from there, Europe. I mean, regulation, I'm not a big fan of more regulation, I like regulation at the right balance, cause innovation's key. What have you heard here from talks? Share, cause we haven't had a chance 'cause we've been broadcasting all day, share some highlights from today's sessions after, you know, Jim from Etna was on there, which, I'm sure you got a kick out of his history comment, you're a history buff. Weren't you a history major and computer science? >> I was a history major and computer science, you got that right. >> You'd be a great dean of the sciences by today's standards. But I mean, he had a good point. Civilization crumbles when there's no trust. That comment, he made that interesting comment. >> So, it's interesting what Etna's done, from his presentation, was they've invested heavily in models, they've modeled this. And I think that kind of goes back to the whole Big Data, so I think Etna is ahead of the game, and it's very impressive what he's put forth as well. And just think about the information that Etna has about their customers etcetera. That is not something that you want. >> He was also saying that he modeled, you don't model for model's sake because stuff's going on in real time, you know what I'm saying? So, the data lake wasn't the answer. >> Well, he said his mistake was, so they were operationalizing the real time, you know, security Big Data activity, and he didn't realize it, he said that was the real answer, not just, sort of, analyzing the data swamp, so. >> Yeah, absolutely. >> So, that was the epiphany that he realized. You know, that is where the opportunity was. >> John: It was unconventional tactics, too. >> What can businesses expect, Tom? What's the business outcome they can expect if they, sort of, follow the prescription that you talked about and, sort of, understand that humans are the weakest link and take actions to remediate that. What kind of business impact can that have? >> Yeah, so, we actually, we spent a lot of time on this and we partnered with Forrester, a well known analyst group, and we did this study with them, and they went out and they interviewed 120 large enterprises. And it was really interesting that one group, group A, was getting breached left and right and group B, about half the number of breaches, right? And we were like, what is group B doing versus group A? And it had to do with implementing a maturity model as it relates to identity which is, first and foremost, implementing identity assurance, getting, reducing the number of logins, delivering single sign-in, multi factor authentication. Which we should all do as consumers as well, turn on that MFA button for Twitter, and your Gmail etcetera. Then, from there, the organizations that were able to limit lateral movement and break down, make sure that people don't have too much access to too many things as well. There was an incident, it was Saudi Generale that there was a backend IT guy, he became a traitor, he started making some losses, and so he tried to, he doubled down, he leveraged the credentials that he had as a former IT person to continue trading even though he kind of turned off all the the guardrails right there, and he should have been shut down. When he made that move into that new position, so, there's just too much lateral movement aloud. And then, from there, you got to implement the concept of least privilege and then finally you got to audit, and so if you can follow this maturity model, we have seen that organizations have seen significant reduction in the number of breaches out there as well. So, that was another thing that I talked about at my keynote, that I presented this study that Forrester did by talking to customers and there turned out to be a significant difference between group A and group B in terms of the number of breaches as well. And that actually tied very well with what Jim was talking about as well, which was, you know, I call it a maturity model, he called it just models, right, as well. But there is a path forward that you can better be smarter about security. >> But there's a playbook. >> There is a playbook, absolutely. >> And it revolves around not having a lot of moving parts where human error, and this is where passwords and these directories of stuff out there, are silos, is that right? Did I get that right? So you want to go level? >> That's the first step, I mean the first step is that we're drowning in a sea of passwords, right, and we need what's known as identity assurance, we need to reduce the number of passwords. With the fewer passwords we have, we need to better protect it by adding stronger authentication. Multi-factor authentication. The new face ID technology, which I've been hearing good reviews about, coming from Apple as well, I mean, stuff like that, and say, look, before I log into that, yes, I need to do my thumbprint and do the old face ID. >> And multi factor authentication I think is a good point, also known as MFA, that's not two factor, it's more than one, but two seems to be popular cause you get your phone, multi factor could be device, IOT device, card readers, it starts getting down into other mechanisms, is that right? >> Absolutely, it's something you have, and something you know, right? >> Answer five questions. >> Yeah, but at the same time you don't want to make it too, >> Too restrictive. >> Too restrictive, etcetera. But then here's where the machine learning comes in, then you add the word adaptive in front of multi factor authentication. If the access is coming from the corporate network, odds are that means that person was badged, got through. So, maybe you don't ask as much, for much information to actually allow the person on right there. But, what if that person was, five minutes ago, was in New York, and now he's trying to access from China? Well wait a minute, right? Or what if it's a device that he or she's never accessed from before as well? So, you need to start using that machine learning and look at what is normal behavior and what deviates from that behavior? And then, factor it into the multi factor authentication. >> Well, we've seen major advancements in the last couple years, even, in fraud detection, you know, real time. And is that seeping into the enterprise? >> Well, it should, that's the ironic thing is, is that with our credit card, I mean, we get blocked all the time, right? >> It is annoying sometimes, but you know at the end of the day you say, good. >> Yeah, thank you for doing that, you know. And so that's, in effect, the multi factor authentication is you calling up the credit card company, ironically my credit card, maybe I shouldn't reveal this, too much information, someone will hack me, but I use US bank, right there, and we had Jason the CSO of US bank right there, but, you know, calling in and actually saying, yes, I'm trying to do this transaction represents another form of authentication. Why aren't we doing similar things for people logging onto mission critical servers or applications? It's just shocking. >> I'm going to ask you a personal question, so, you mentioned history and computer science, a lot of security folks that I talk to, when they were little kids, they used to sort of dream about saving the world. Did you do that? (laughter) >> Well, I definitely want to do something that adds value to society, so, you know, this is not like the Steve Jobs telling Scully, do you want to make sugared water and all that stuff? >> Dave: No, but like, superhero stuff, were you into that as a kid, or? >> D.C. or Marvel? >> Good versus evil? >> Don't answer that question, you like 'em both. >> But the nice thing about security is, when you're a security vendor, you're actually, the value that you have is real. It's not like, you know, some app or whatever where you get a bunch of teenagers to waste time and all that stuff. >> John: Serious business. >> Yeah, you're in serious business. You're protecting people, you're protecting individuals, their personal information, you're protecting corporations, their brand, look what happened to Equifax when their, when it was announced, the breach, their stock went down 13, 14%, Chipotle went down by 400 million, their market cap went. I mean, so, nowadays, if you have a, if there's a breach, you got to short that stock. >> Yeah, and security's now part of the product, cause the brand image, not just whatever the value is in the brand, I mean the product, the brand itself is the security. If you're a bank, security is the product. >> Absolutely, if you're known for being breached, who the heck's going to bank with you? >> Whole 'nother strategy there. Okay, final question from me is, this event, what are some of the hallway conversations, what's notable, what can you share for the folks watching? Some of the conversations, the interests, the kind of people here, what was the conversations? >> Yeah, I mean, the conference, we really did a great job working with our partner ICIT of attracting sea level folks, right? So, this was more of a business focus, this was not, you know, people gathered around a laptop and try to hack into the guy sitting right next to them as well. And, so, I think there, what has come out of the conversations is a better awareness of, as I said before, it's like, you know what, we got to completely, we got to like step back, completely rethink what we're trying to do here as well, cause what we're doing now is not working, right? And so I think it's, in effect, we're kind of forcing some soul searching here as well. And having others present what's been working for them, what technologies, cloud, machine learning, the zero trust concept, etcetera, where you only, you have to assume that your internal network is just as polluted as the outside. >> I know this might be early, but what's the current takeaway for you as you ruminate here on theCube that you're going to take back to the ranch in Palo Alto and Silicon Valley, what's the takeaway, personally, that you're now going to walk away with? Was there an epiphany, was there a moment of validation, what can you share about what you'll walk away with? >> There's just a hunger. I mean there's just a hunger to know more about the business of security etcetera. I mean, we're just, we were amazed with the turn out here, we're pleased with working with you guys and the level of interest with your viewership, our webcast, I mean, this is, you know, for the first time event to have both in-person and online, well over 2,000 people participating, that says a lot. That there's just this big hunger. So, we're going to work with you guys, we're going to work with ICIT and we're going to figure out how we're going to make this bigger and even better because there is an untapped need for a conference such as this. >> And a whole new generation's coming up though the ranks, our kids and the younger, new millennials , whatever they're called, Z or letters they're called, they're going to end up running the cyber. >> Yeah absolutely, absolutely. So there just needs to be a new way of going about it. >> Tom, congratulations. >> Thank you. >> Great event, you guys got a lot of credibility in D.C., you've earned it, it shows. The event, again, good timing lighting the bottle, The CyberConnect inaugural event, Cube exclusive coverage in Manhattan here, live in New York City at the Grand Hyatt Ballroom for the CyberConnect 2017 presented by Centrify, I'm here with the CEO and co-founder of Centrify, Tom Kemp, I'm John Furrier, Dave Vellante, more live coverage after this short break. (modern electronic music)

(upbeat music) >> Hello, everyone and welcome to this special CUBE conversation here in our studios in Palo Alto, California. I'm John Furrier, the co-founder of SiliconANGLE Media and cohost of theCUBE, with a special preview of CyberConnect 2017, a global security conference presented by Centrify, it's an industry-independent event. I'm here with the CEO and Founder of Centrify, Tom Kemp. Tom, thanks for joining me on this preview of CyberConnect 2017. >> It's great to be here again. >> So, you guys, obviously, as a company are no longer struggling, you're clearly clearing the runway on growth. Congratulations on the success. This event will be broadcasting live on theCUBE as folks should know on the site. CyberConnect 2017 is a different kind of event, it's really the first of its kind where it's an industry gathering, not just a Black Hat, I mean, RSA's got Black Hat and they try to weave a little business in. This is all about leadership in the industry. Is that right? >> Yeah, absolutely. You know, there's really a dearth of business-focused discussions with C-Level people discussing the issues around security. And so, what we found was, was that most of the conversations were about the hackers, you know, the methodology of goin' in and hacking in. And, that doesn't really help the business people, they have to understand what are the higher level strategies that should be deployed to make their organizations more secure. So, we kind of wanted to up-level the conversation regarding security and help C-Level people, board people, figure out what they should be doing. >> And, we've obviously been reporting at SiliconANGLE, obviously, the latest and greatest on hacks. You know, you've seen everything from cyber threats, where are real hacking, to nuanced things like the rushing dissidents campaign on Facebook around voter impressions. And we saw that in the hearings in the senate where Facebook got really grilled by, you know, "Is it a real threat," no, but it is a threat in the sense that they're putting opinion-shaping. So, there's a broad range of business issues, some are highly-nuanced, some are very specific business values, you're out of business if you get hacked. So, how do you see that, because is that the discussion point? Is it more policy, all of the above, what is the overall conversations going to be like at CyberConnect 2017? >> Yeah, I think it's, look, the reality is, is that breaches before were about potentially stealing your data. But, now it's an impact on your brand. Like, what if the Russians were doing that to Pepsi or Coca-Cola, et cetera? They could just completely setup a lot of negative sentiment about you, so there's a lot of different ways to impact organizations as well. And so, what we're doing at CyberConnect is, putting forth CIOs of Aetna, US Bank, and having them describe what they do. I mean, think about a major healthcare company, Aetna, US Bank, the list goes on, you know, Blue Cross Blue Shield. And we're having the major CSOs of these large organizations tell their peers what they're doing to protect their company, their brands, et cetera. >> Well, I want to get back to the business impact in a second, but some notable key notes here. Securing a Nation Amid Change, A Roadmap to Freedom, from Retired General Keith Alexander, Former Director of the NSA and Chief of the U.S. Cyber Command. Why is he there, what's the focus for his talk? >> Well, you can't ignore the government aspect. Well, first of all, government is a huge target and we obviously saw that with the election, we saw that with the hack of the Office of Personnel Management, et cetera. And so, you know, nation states are going after governments as well as criminal organizations, so General Alexander can talk about what he did to protect us as citizens and our government. But, he also has a great insight in terms of what hackers are doing to go after critical infrastructure. >> John: He's got some experience thinking about it, so he's going to bring that thinking in? >> Absolutely, and he's going to give us an update on the latest vectors of attacks that are happening, and give us some insight on what he experienced trying to protect the United States but also trying to protect our businesses and infrastructure. So, we wanted to have him kick things off to give, you know, what more, the NSA, the ex-NSA head telling us what's going on. >> And you got amazing guests here, again the CSO from Aetna, the Chief Security Officer from Cisco, The Global Value Chain, you got US Bank. You got Amazon Web Services here talking about the Best Practice of Running Workloads on an Amazon Service Cloud. So, you got the gamut of industry, as well as some government people who have experienced dealing with this from a practitioners standpoint? What's the convoluence of that, what's the trends that are coming out of those? What can people expect to hear and look forward to watching the videos for? >> You know, I think it's going to be some of the trends that you guys talk about. It's like, how can you leverage AI and machine learning to help better protect your organization as well? So, that's going to be one huge trend. I think the other trend, and that's why we have the folks from Amazon, is in a world in which we're increasingly using mobile and Cloud and leaving the perimeter, you know, in a world where there's no perimeter, how can you secure your users, your data, et cetera? So, I think the focus of the conference is going to be very much on leveraging modern and new technologies, AI, machine learning, discussing concepts like Zero Trust. And then, also, figuring out and helping people really get some good ideas as they make the move to Cloud, how can they secure themselves, make themselves, more secure than when they had the traditional perimeter set up? >> I mean, given the security landscape, you and I discussed this in and around the industry, go back seven years, "Oh, Cloud's un-secure," now Cloud seems to be more secure then on perim because of the work that Amazon, for instance, they upped their game significantly in security, haven't they? >> Absolutely, and you know, it's interesting, it's, I mean, you see it first hand, Google comes out with announcements, Microsoft, Oracle, et cetera, and security is a key issue. And they're trying to provide a more secure platform to get people comfortable moving with the Cloud. At the same time, there's vendors such as Centrify, that's there's value-add that we can provide and one area that we specifically provide is in the area of identity and controlling who can access what, as well. So, yeah, it completely reshapes how you do security, and the vendors are contributing. What's so important that the solutions that we had before are being completely disruptive and they need to be completely adopted for the new Cloud world. >> I know it's your first event, you guys are underwriting this, it's presented by Centrify, it's not sponsored by, it's not your show. Although you're doing a lot of heavy lifting in supporting this, but your vision for this CyberConnect is really more of a gathering amongst industry folks. We're certainly glad to be a part of it, thanks for inviting us, we're glad to be there. But, this is not a Centrify-only thing, explain the presented by Centrify vis-a-vis CyberConnect. >> So, and we've also put forth another organization that we've worked with. It's an organization called ICIT, the Institute for Critical Information Technology. And, what they are, is they're a think tank. And they are very much about how can we support and secure the infrastructure of the United States, as well? We didn't want this to be a vendor fest, we wanted to be able to have all parties, no matter what technologies they use, to be able to come together and get value of this. It benefits Centrify because it raises awareness and visibility for us, but even more important, that we wanted to give back to the community and offer something unique and different. That this is not just another vendor fest show, et cetera, this is something where it's a bringing together of really smart people that are on the front-lines of securing their organizations. And we just felt that so much value could be driven from it. Because, all the other shows are always about how you can hack and ATM and all that stuff, and that's great, that's great for a hacker but that doesn't really help business people. >> Or vendors trying to sell something, right? >> Exactly. >> Another platform to measure something? >> Yeah, exactly. >> This is more of a laid-back approach. Well, I think that's great leadership, I want to give you some props for that. Knowing that you guys are very, as you say, community-centric. Now you mentioned community, this is about giving back and that's certainly going to be helpful. But, security has always been kind of a community thing, but now you're starting to see the business and industry community coming together. What's your vision for the security community at this CSO level? What's needed, what's your vision? >> I think what's needed is better sharing of best practices, and really, more collaboration because the same attacks that are going to happen for, say one healthcare organization, the hackers are going to use the same means and methods, as well. And so, if you get the CSOs in the room together and hear what the others are experiencing, it's just going to make them more better. So, the first thing, is to open up the communication. The second thing is, is that could we figure out a way, from a platform or a technology perspective, to share that information and share that knowledge? But, the first step is to get the people in the room to hear from their peers of what's going on. And, frankly, government at one point was supposed to be doing it, it's not really doing it, so, I think an event like this could really help in that regard. >> Well, and also, I would just point out the growth in GovCloud and following some of the stuff going on at Amazon, as an example, had been skyrocketing. So, you're starting to see industry and government coming together? >> Yeah. >> And now you got a global landscape, you know, this is interesting times and I want to get your reaction to some of the things that have been said here on theCUBE but also, out in the marketplace where, you know, it used to be state-actor game, not state on state. And then, if they revealed their cards, then they're out in the open. But now, the states are sponsoring, through open source, and also, in these public domains, whether it's a WikiLeaks or whatever, you're starting to see actors being subsidized or sponsored. And so that opens up the democratization capability for people to organize and attack the United States. And companies. >> Oh, absolutely, and you could right now, they have a help desk, and it's like ordering a service. "Oh, you want 500 bots going after this?" >> John: Smear a journalist for $10k. >> (laughing) Exactly, it's like as a service. Hacking as a service, they have help desk, et cetera. And, the interesting thing is. >> It's a business model. >> It's a business model, you're absolutely right. The people, it's all pay to play, right? And, just the number of resources being devoted and dedicated, and we're talking about thousands of people in Russia, thousands of people in North Korea, and thousands of people in China. And, what came out just recently, is now that they're shifting their target to individuals, and so, now you may have an individual that there may be a person just dedicated to them in China, or Russia or North Korea, trying to hack into them as well. So, it's getting really scary. >> It's almost too hard for one company with brute force, this is where the collective intelligence of the community really plays a big difference on the best practices because when you thought you had one model nailed, not just tech, but business model, it might shift. So, it seems like a moving train. >> Yeah, and we're having Mist show up, and so we're getting the government. But, I really think that there does need to be, kind of, more of an open-sourcing of knowledge and information to help better fine tune the machine learning that's needed and required to prevent these type of breaches. >> So, what can we expect? Obviously, this is a preview to the show, we'll be there Monday broadcasting live all day. What can people expect of the event, content-wise, what are your favorites? >> Well, I mean, first of all, just the people that we have there. We're going to get the two CCOs from two of the biggest healthcare companies, we're going to get the former head of the NSA, we're going to get the CSO of US Bank, I mean, we're talking the biggest financial services organizations. We're going to have the biggest healthcare organizations. We're going to have the people doing cyber. >> John: MasterCard's there. >> Yeah, MasterCard, we have the German government there as well, so we've got government, both U.S. as well as European. We've got all the big people in terms of, that have to secure the largest banks, the largest healthcare, et cetera. And then, we also have, as you talked about, obviously Centrify's going to be there, but we're going to have AWS, and we're going to have some other folks from some of the top vendors in the industry as well. So, it's going to be a great mixture of government, business, as well as vendors. Participating and contributing and talking about these problems. >> So, it's an inaugural event? >> Yes. >> So, you're looking for some success, we'll see how it goes, we'll be there. What can you expect, are you going to do this every year? Twice a year, what's the thoughts on the even itself? >> It's been amazing, the response. So, we just thought we were going to have 400 people, we sold out, we're getting close to 600 people. And now, we're going to have over 1,000 people that are going to be doing the live streaming. There's just a huge, pent-up demand for this, as well. So, we actually had to shut down registration and said sold out a week or two ago. And, so far, it looks really good, let's see how it goes. It looks like we can easily double this. We're already thinking about next year, we'll see how the event goes. If you just look at the line-up, look at the interest, or whatever, there's a pent-up demand to better secure government and enterprises. >> And leadership, like you guys are taking this as an issue, plus, others coming together. We're certainly super glad to be a part of the community, and we look forward to the coverage. This is really, kind of, what the industry needs. >> Absolutely. >> All right, Tom Kemp, the CEO and Founder of Centrify, really fast growing start up, doing an event for the community. Very strong approach, I love the posture, I think that's the way to go than these vendor shows. You know how I feel about that. It's all about the community, this is a community. I mean, look at the Bitcoin, the Blockchain, know you're customer isn't into money laundering. It's an identity game. >> Yeah, absolutely. >> Now, by the way, quick, is there going to be any Blockchain action there? >> Oh, I don't know about that, I don't think so. >> Next year. (laughing) >> Next year, exactly. >> It's certainly coming, Blockchain security, as well as a lot of great topics. Check out CyberConnect 2017. If you can't make it to New York, they're sold out, theCUBE.net is where you can watch it live. And, of course, we'll have all the video coverage on demand, on theCUBE.net, as well. So, we'll have all the sessions and some great stuff. Tom Kemp, CEO. I'm John Furrier from theCUBE, here in Palo Alto, thanks for watching. (upbeat music)