>>Good afternoon everyone, and thank you so much for joining us. My name is Savannah Peterson, joined by my co-host Paul for the afternoon. Very excited. Oh, Savannah. Hello. I'm, I'm pumped for this. This is our first bit together. Exactly. >>It's gonna be fun. Yes. We have a great guest to kick off with. >>We absolutely do. We're at Supercomputing 2022 today, and very excited to talk to our next guest. We're gonna be talking about data at scale and data that really matters to us joining us. Kelly Gayer, thank you so much for being here and you are with tech. Tell everyone what TAC is. >>Tech is the Texas Advanced Computing Center at the University of Texas at Austin. And thank you so much for having me here. >>It is wonderful to have you. Your smile's contagious. And one of the themes that's come up a lot with all of our guests, and we just talked about it, is how good it is to be back in person, how good it is to be around our hardware, community tech. You did some very interesting research during the pandemic. Can you tell us about that? >>I can. I did. So when we realized sort of mid-March, we realized that, that this was really not normal times and the pandemic was statement. Yes. That pandemic was really gonna touch everyone. I think a lot of us at the center and me personally, we dropped everything to plug in and that's what we do. So UT's tagline is what starts here changes the world and tax tagline is powering discoveries that change the world. So we're all about impact, but I plugged in with the research group there at UT Austin, Dr. Lauren Myers, who's an epidemiologist, and just we figured out how to plug in and compute so that we could predict the spread of, of Covid 19. >>And you did that through the use of mobility data, cell phone signals. Tell us more about what exactly you were choreographing. >>Yeah, so that was really interesting. Safe graph during the pandemic made their mobility data. Typically it was used for marketing purposes to know who was going into Walmart. The offenses >>For advertising. >>Absolutely, yeah. They made all of their mobility data available for free to people who were doing research and plugging in trying to understand Covid. 19, I picked that data up and we used it as a proxy for human behavior. So we knew we had some idea, we got weekly mobility updates, but it was really mobility all day long, you know, anonymized. I didn't know who they were by cell phones across the US by census block group or zip code if we wanted to look at it that way. And we could see how people were moving around. We knew what their neighbor, their home neighborhoods were. We knew how they were traveling or not traveling. We knew where people were congregating, and we could get some idea of, of how people were behaving. Were they really, were they really locking down or were they moving in their neighborhoods or were they going outside of their neighborhoods? >>What a, what a fascinating window into our pandemic lives. So now that you were able to do this for this pandemic, as we look forward, what have you learned? How quickly could we forecast? What's the prognosis? >>Yeah, so we, we learned a tremendous amount. I think during the pandemic we were reacting, we were really trying. It was a, it was an interesting time as a scientist, we were reacting to things almost as if the earth was moving underneath us every single day. So it was something new every day. And I've told people since I've, I haven't, I haven't worked that hard since I was a graduate student. So it was really daylight to dark 24 7 for a long period of time because it was so important. And we knew, we, we knew we were, we were being a part of history and affecting something that was gonna make a difference for a really long time. And, and I think what we've learned is that indeed there is a lot of data being collected that we can use for good. We can really understand if we get organized and we get set up, we can use this data as a means of perhaps predicting our next pandemic or our next outbreak of whatever. It is almost like using it as a canary in the coal mine. There's a lot in human behavior we can use, given >>All the politicization of, of this last pandemic, knowing what we know now, making us better prepared in theory for the next one. How confident are you that at least in the US we will respond proactively and, and effectively when the next one comes around? >>Yeah, I mean, that's a, that's a great question and, and I certainly understand why you ask. I think in my experience as a scientist, certainly at tech, the more transparent you are with what you do and the more you explain things. Again, during the pandemic, things were shifting so rapidly we were reacting and doing the best that we could. And I think one thing we did right was we admitted where we felt uncertain. And that's important. You have to really be transparent to the general public. I, I don't know how well people are gonna react. I think if we have time to prepare, to communicate and always be really transparent about it. I think those are three factors that go into really increasing people's trust. >>I think you nailed it. And, and especially during times of chaos and disaster, you don't know who to trust or what to believe. And it sounds like, you know, providing a transparent source of truth is, is so critical. How do you protect the sensitive data that you're working with? I know it's a top priority for you and the team. >>It is, it is. And we, we've adopted the medical mantra, do no harm. So we have, we feel a great responsibility there. There's, you know, two things that you have to really keep in mind when you've got sensitive data. One is the physical protection of it. And so that's, that's governed by rule, federal rules, hipaa, ferpa, whatever, whatever kind of data that you have. So we certainly focus on the physical protection of it, but there's also sort of the ethical protection of it. What, what is the quote? There's lies, damn lies and statistics. >>Yes. Twain. >>Yeah. So you, you really have to be responsible with what you're doing with the data, how you're portraying the results. And again, I think it comes back to transparency is is basically if people are gonna reproduce what I did, I have to be really transparent with what I did. >>I, yeah, I think that's super important. And one of the themes with, with HPC that we've been talking about a lot too is, you know, do people trust ai? Do they trust all the data that's going into these systems? And I love that you just talked about the storytelling aspect of that, because there is a duty, it's not, you can cut data kind of however you want. I mean, I come from marketing background and we can massage it to, to do whatever we want. So in addition to being the deputy director at Tech, you are also the DEI officer. And diversity I know is important to you probably both as an individual, but also in the work that you're doing. Talk to us about that. >>Yeah, I mean, I, I very passionate about diversity, equity and inclusion in a sense of belongingness. I think that's one of the key aspects of it. Core >>Of community too. >>I got a computer science degree back in the eighties. I was akin to a unicorn in a, in an engineering computer science department. And, but I was really lucky in a couple of respects. I had a, I had a father that was into science that told me I could do anything I, I wanted to set my mind to do. So that was my whole life, was really having that support system. >>He was cheers to dad. >>Yeah. Oh yeah. And my mom as well, actually, you know, they were educators. I grew up, you know, in that respect, very, very privileged, but it was still really hard to make it. And I couldn't have told you back in that time why I made it and, and others didn't, why they dropped out. But I made it a mission probably back, gosh, maybe 10, 15 years ago, that I was really gonna do all that I could to change the needle. And it turns out that there are a number of things that you can do grassroots. There are certainly best practices. There are rules and there are things that you really, you know, best practices to follow to make people feel more included in an organization, to feel like they belong it, shared mission. But there are also clever things that you can do with programming to really engage students, to meet people and students where they are interested and where they are engaged. And I think that's what, that's what we've done over, you know, the course of our programming over the course of about maybe since 2016. We have built a lot of programming ATAC that really focuses on that as well, because I'm determined the needle is gonna change before it's all said and done. It just really has to. >>So what, what progress have you made and what goals have you set in this area? >>Yeah, that, that's a great question. So, you know, at first I was a little bit reluctant to set concrete goals because I really didn't know what we could accomplish. I really wasn't sure what grassroots efforts was gonna be able to, you're >>So honest, you can tell how transparent you are with the data as well. That's >>Great. Yeah, I mean, if I really, most of the successful work that I've done is both a scientist and in the education and outreach space is really trust relationships. If I break that trust, I'm done. I'm no longer effective. So yeah, I am really transparent about it. But, but what we did was, you know, the first thing we did was we counted, you know, to the extent that we could, what does the current picture look like? Let's be honest about it. Start where we are. Yep. It was not a pretty picture. I mean, we knew that anecdotally it was not gonna be a great picture, but we put it out there and we leaned into it. We said, this is what it is. We, you know, I hesitated to say we're gonna look 10% better next year because I'm, I'm gonna be honest, I don't always know we're gonna do our best. >>The things that I think we did really well was that we stopped to take time to talk and find out what people were interested in. It's almost like being present and listening. My grandmother had a saying, you have two errors in one mouth for a reason, just respect the ratio. Oh, I love that. Yeah. And I think it's just been building relationships, building trust, really focusing on making a difference, making it a priority. And I think now what we're doing is we've been successful in pockets of people in the center and we are, we are getting everybody on board. There's, there's something everyone can do, >>But the problem you're addressing doesn't begin in college. It begins much, much, that's right. And there's been a lot of talk about STEM education, particularly for girls, how they're pushed out of the system early on. Also for, for people of color. Do you see meaningful progress being made there now after years of, of lip service? >>I do. I do. But it is, again, grassroots. We do have a, a, a researcher who was a former teacher at the center, Carol Fletcher, who is doing research and for CS for all we know that the workforce, so if you work from the current workforce, her projected workforce backwards, we know that digital skills of some kind are gonna be needed. We also know we have a, a, a shortage. There's debate on how large that shortage is, but about roughly about 1 million unmet jobs was projected in 2020. It hasn't gotten a lot better. We can work that problem backwards. So what we do there is a little, like a scatter shot approach. We know that people come in all forms, all shapes, all sizes. They get interested for all different kinds of reasons. We expanded our set of pathways so that we can get them where they can get on to the path all the way back K through 12, that's Carol's work. Rosie Gomez at the center is doing sort of the undergraduate space. We've got Don Hunter that does it, middle school, high school space. So we are working all parts of the problem. I am pretty passionate about what we consider opportunity youth people who never had the opportunity to go to college. Is there a way that we can skill them and get, get them engaged in some aspect and perhaps get them into this workforce. >>I love that you're starting off so young. So give us an example of one of those programs. What are you talking to kindergartners about when it comes to CS education? >>You know, I mean, gaming. Yes. Right. It's what everybody can wrap their head around. So most kids have had some sort of gaming device. You talk in the context, in the context of something they understand. I'm not gonna talk to them about high performance computing. It, it would go right over their heads. And I think, yeah, you know, I, I'll go back to something that you said Paul, about, you know, girls were pushed out. I don't know that girls are being pushed out. I think girls aren't interested and things that are being presented and I think they, I >>Think you're generous. >>Yeah. I mean, I was a young girl and I don't know why I stayed. Well, I do know why I stayed with it because I had a father that saw something in me and I had people at critical points in my life that saw something in me that I didn't see. But I think if we ch, if we change the way we teach it, maybe in your words they don't get pushed out or they, or they won't lose interest. There's, there's some sort of computing in everything we do. Well, >>Absolutely. There's also the bro culture, which begins at a very early >>Age. Yeah, that's a different problem. Yeah. That's just having boys in the classroom. Absolutely. You got >>It. That's a whole nother case. >>That's a whole other thing. >>Last question for you, when we are sitting here, well actually I've got, it's two parter, let's put it that way. Is there a tool or something you wish you could flick a magic wand that would make your job easier? Where you, you know, is there, can you identify the, the linchpin in the DEI challenge? Or is it all still prototyping and iterating to figure out the best fit? >>Yeah, that is a, that's a wonderful question. I can tell you what I get frustrated with is that, that >>Counts >>Is that I, I feel like a lot of people don't fully understand the level of effort and engagement it takes to do something meaningful. The >>Commitment to a program, >>The commitment to a program. Totally agree. It's, there is no one and done. No. And in fact, if I do that, I will lose them forever. They'll be, they will, they will be lost in the space forever. Rather. The engagement is really sort of time intensive. It's relationship intensive, but there's a lot of follow up too. And the, the amount of funding that goes into this space really is not, it, it, it's not equal to the amount of time and effort that it really takes. And I think, you know, I think what you work in this space, you realize that what you gain is, is really more of, it's, it really feels good to make a difference in somebody's life, but it's really hard to do on a shoer budget. So if I could kind of wave a magic wand, yes, I would increase understanding. I would get people to understand that it's all of our responsibility. Yes, everybody is needed to make the difference and I would increase the funding that goes to the programs. >>I think that's awesome, Kelly, thank you for that. You all heard that. More funding for diversity, equity, and inclusion. Please Paul, thank you for a fantastic interview, Kelly. Hopefully everyone is now inspired to check out tac perhaps become a, a Longhorn, hook 'em and, and come deal with some of the most important data that we have going through our systems and predicting the future of our pandemics. Ladies and gentlemen, thank you for joining us online. We are here in Dallas, Texas at Supercomputing. My name is Savannah Peterson and I look forward to seeing you for our next segment.

(upbeat music) >> TheCUBE presents UiPath Forward 5. Brought to you by UiPath. >> Hello and welcome back to TheCUBE's coverage of UiPath Forward 5. We're here in Las Vegas at the Venetian Convention Center. This is day two. We're wrapping up Dave Nicholson and Dave Vellante. This is the fourth time theCUBE has been at UiPath Forward. And we've seen the transformation of the company from, essentially, what was a really interesting and easy to adopt point product to now one through acquisitions, IPO, has made a number of enhancements to its platform. David Cardenas is here. Deputy Director of Operations for County of Los Angeles, the Department of Public Health. David, good to see you. Thanks for coming on theCUBE. >> Thanks for having me on guys. Appreciate it. >> So what is your role? What does it have to do with automation? >> So I had been, actually started off in the IT space within the public health. Had served as a CIO previously, but now been moving into broader operations. And I basically manage all of the back office operations for the department, HR, IT, finance, all that. >> So you've had a wild ride in the last couple of years. >> Yeah, I think, like I've been talking earlier, it's just been, the last two years have just been horrendous. It's been a really difficult experience for us. >> Yeah, and I mean, the scars are there, and maybe permanently. But it also had major effects on organizations, on operations that, again, seem to be permanent. How would you describe the situation in your organization? >> So I think it, the urgency that came along with the pandemic response, kind of required us to look at things, you know, differently. We had to be, realize we had to be a lot more nimble than when we were and try to figure out how to enhance our operations. But really look at the core of what we're doing and figure out how it is to be more efficient. So I think we've kind of seen it as an opportunity to really examine ourselves a little bit more deeply and see what things we need to do to kind of, to fix our operations and get things on a better path. >> You know, I think a lot of organizations we talked to say that. But I want to understand how you handle this is, you didn't have time to sit back in the middle of the pandemic. >> Yeah. >> And then as you exit, what I call the isolation economy, people are so burned out, you know? So how do you deal with that organizational trauma? Say, okay now, let's sit back and think about this. Do people, are they eager to do so? Do they have the appetite for it? What's that dynamic like? >> So I think certainly there's a level of exhaustion inside the organization. I can't say that there isn't because it's just been, you know, two years of 24/7/365 kind of work. And that's tough on any organization. But I think what we realize is that there's, you know, we need to move into action quickly 'cause we don't know what's going to come next, right? And we're expecting that this is just a sign of what's to come and that we're just at the start of that stage of, we're just going to see a lot more outbreaks, we're going to see a lot more conditions kind of hitting us. And if we're not prepared for that, we're not going to be able to respond for the, and preserve the health and safety of our citizens, right? So I think we're taking a very active, like, look at these opportunities and see what we've done and say how do we now make the changes that we made in response to the pandemic permanent so that the next time this comes at us, we won't have to be struggling the way that we were to try to figure things out because we'll have such a better foundation in place to be able to move things forward. >> I mean, I've never served in the military, but I imagine that when you're in the military, you're always prepared for some kind of, you know, in your world, code red, right? >> Yeah. >> So it's like this code red culture. And that seems to have carried through, right? People are, you know, constantly aware that, wow. We got caught off guard and we don't want that to happen again. Because that was a big part of the trauma was just the unknown- >> Right. >> and the lack of preparedness. So thinking about technology and its role in helping you to prepare for that type of uncertainty. Can you describe how you're applying technology to prepare for the next unknown? >> So I think, so that first part of what you said, I think the difficulty we've always had in the public health side is that there's the, generally the approach to healthcare is very reactionary, right? Your first interface with the healthcare system is, "I'm going to go see my doctor; I'm going to go to the hospital." The work that we do in public health is to try to do everything we can to keep you out of that, right? So it's broad-based messaging, social media now is going to put us out there. But also, to be able to surveil disease in a different way. And so the holy grail for us in healthcare has always been, at least on the public health side, has been to try to see how can we tap in more actively that when you go see the doctor or when you go to the hospital, how can I get access to that information very, very quickly so that I know, and can see, and surveil my entire county in my jurisdiction and know, oh, there's an outbreak of disease happening in this section of the county. We're 10 million people with, you know, hundreds of square miles inside of LA. There are places where we can see very, you know, specific targets that we know we have to hit. But the data's a little stale and we find out several months after. We need to figure out a way to do that more actively. Technology's going to be our path to be able to capture that information more actively and come up on something a little bit, so we can track things faster and be able to respond more quickly. So that's our focus for all our technology implementations, automation like UiPath has offered us and other things, is around how to gather that information more quickly and put that into action so we can do quick interventions. >> People have notoriously short memories. Please tell me (chuckles) any of the friction that you may have experienced in years past before the pandemic. That those friction points where people are thinking, "Eh, what are the odds?" >> Yeah. "Eh, I've got finite budget, I think I'm going to spend it on this thing over here." Do you, are you able to still ride sort of the wave of mind share at this point when putting programs together for the future? >> So whatever friction was there during the pandemic wiped away. I mean, we had amazing collaboration with the medical provider community, our hospital partners. The healthcare system in LA was working very closely with us to make sure that we were responding. And there is that wave that we are trying to make sure that we use this as an opportunity to kind of ride it so that we can implement all the things that we want. 'Cause we don't know how long that's going to last us. The last time that I saw anything this large was after the anthrax attacks and the bioterrorism attacks that we had after 9/11. >> How interesting. >> Public health was really in lens at that point. And we had a huge infusion of funding, a lot of support from stakeholders, both politically and within the healthcare system. And we were able to make some large steps in movement at that point. This feels the same but in a larger scale because now it touched every part of the infrastructure. And we saw how society really had to react to what was going on in a different way than anyone has ever prepared for. And so now is we think is a time where we know that people are making more investments. And our success is going to be their success in the longterm. >> And you have to know that expectations are now set- >> Extremely high. >> at a completely different level, right? >> Yes, absolutely. >> There is no, "Oh, we don't have enough PPE." >> Correct. >> Right? >> David: Correct. >> The the expectation level is, hey, you should have learned from all of- >> We should have it; we can deliver it, We'll have it at the ready when we need to provide it. Yes, absolutely. >> Okay, so I sort of mentioned, we're, David cubed on theCUBE (all laughing). So three Daves. You spoke today at the conference? >> Actually I'm speaking later actually in the session in an hour or so. >> Oh Okay. My understanding is that you've got this concept of putting humans at the center of the automation. What does that mean? Why is that important? Help us understand that. >> So I think what we found in the crisis is that the high demand for information was something we hadn't seen before, right? We're one of the largest media markets in the United States. And what we really had trouble with is trying to figure out how to serve the residents, to provide them the information that we needed to provide to them. And so what we had traditionally done is press releases, you know, just general marketing campaigns, billboards, trying to send our message out. And when you're talking about a pandemic where on a daily basis, hour-by-hour people wanted to know what was going on in their local communities. Like, we had to change the way that we focused on. So we started thinking about, what is the information that the residents of our county need? And how can we set up an infrastructure to sustain the feeding of that? Because if we can provide more information, people will make their own personal decisions around their personal risk, their personal safety measures they need to take, and do so more actively. More so than, you know, one of us going on camera to say, "This is what you should do." They can look for themselves and look at the data that's in front of them and be able to make those choices for themselves, right? And so we needed to make sure that everything that we were doing wasn't built around feeding it to our political stakeholders, which are important stakeholders. We needed to make sure that they're aware and are messaging out, and our leadership are aware. But it's what could we give the public to be able to make them have access to information that we were collecting on an every single day basis to be able to make the decisions for their lives. And so the automation was key to that. We were at the beginning of the pandemic just had tons and tons of resources that we were throwing at the problem that was, our systems were slow, we didn't have good ability to move data back and forth between our systems, and we needed a stop-gap solution to really fill that need and be able to make the data cycles to meet the data cycles. We had basically every day had to deliver reports and analytics and dashboards by like 10 o'clock in the morning because we knew that the 12 an hour and the five-hour news cycles were going to hit and the press were going to then take those and message out. And the public started to kind of come in at that same time and look at 10 and 11 o'clock and 12 o'clock. >> Yeah. >> We could see it from how many hits were hitting our website, looking for that information. So when we failed and had a cycle where that data cycle didn't work and we couldn't deliver, the public would let us know, the press would let us know, the stakeholders would let us know. We had never experienced anything like that before, right. Where people had like this voracious appetite for the information. So we needed to have a very bulletproof process to make sure that every single 24 hours we were delivering that data, making it available at the ready. >> Software robots enabled that. >> Exactly. >> Okay. And so how were you able to implement that so quickly within such a traumatic environment? >> So I think, I guess necessity is always the mother of invention. It kind of drove us to go real quickly to look at what we had. We had data entry operations set up where we had dozens and dozens of people whose sole job in life on a 24-hour cycle was to receive medical reports that we we're getting, interview data that's coming from our case interviews, hospitalization data that was coming in through all these different channels. And it was all coming in in various forms. And they were entering that into our systems of record. And that's what we were using, extracts from that system of record, what was using to generate the data analyses in our systems and our dashboards. And so we couldn't rely on those after a while because the data was coming in at such high volume. There wasn't enough data entry staff to be able to fit the need, right? And so we needed to replace those humans and take them out of that data entry cycle, pop in the bots. And so what we started to look at is, let's pick off the, where it is that that data entry cycle starts and see what we could do to kind of replace that cycle. And we started off with a very discreet workload that was focused on some of our case interview data that was being turned into PDFs that somebody was using to enter into our systems. And we said, "Well before you do that," since we can't import into the systems 'cause it wasn't working, the import utilities weren't working. We got 'em into simple Excel spreadsheets, mapped those to the fields in our systems and let the bots do that over and over again. And we just started off with that one-use case and just tuned it and went cycle after cycle. The bots just got better and better to the point where we had almost like 95% success rates on each submission of data transactions that we did every day. >> Okay, and you applied that automation, I don't know, how many bots was it roughly? >> We're now at like 30; we started with about five. >> Okay, oh, interesting. So you started with five and you applied 'em to this specific use case to handle the velocity and volume of data- >> Correct. >> that was coming in. But that's obviously dynamic and it's changed. >> Absolutely. >> I presume it's shifted to other areas now. So how did you take what you learned there and then apply it to other use cases in other parts of the organization? >> So, fortunately for us, the process that was being used to capture the information to generate the dashboards and the analyses for the case interview data, which is what we started with- >> Yeah. >> Was essentially being used the same for the hospitalization data that we were getting and for tracking deaths as they were coming in as well. And so the bots essentially were just, we just took one process, take the same bots, copy them over essentially, and had them follow the very same process. We didn't try to introduce any different workflow than what was being done for the first one so we could replicate quickly. So I think it was lucky for us a lot- >> Dave V.: I was going to say, was that luck or by design? >> It was the same people doing the same analyses, right? So in the end they were thinking about how to be efficient themselves. So they kind of had coalesced around a similar process. And so it was kind of like fortunate, but it was by design in terms of how they- >> Dave V.: It was logical to them. >> Logical to them to make it. >> Interesting. >> So for us to be able to insert the bots became pretty easy on the front end. It's just now as we're trying to now expand to other areas that were now encountering like unique processes that we just can't replicate that quickly. We're having to like now dig into. >> So how are you handling that? First of all, how are you determining which processes? Is it sort of process driven? Is it data driven? How do you determine that? >> So obviously right now the focus still is COVID. So the the priorities scale that we've set internally for analyzing those opportunities really is centered around, you know, which things are really going to help our pandemic response, right? We're expecting another surge that's going to happen probably in the next couple of weeks. That'll probably take us through December. Hopefully, at that point, things start to calm down. But that means high-data volume again; these same process. So we're looking at optimizing the processes that we have, what can we do to make those cycles better, faster, you know, what else can we add? The data teams haven't stopped to try to figure out how else can they turn out new data reports, new data analysis, to give us a different perspective on the new variants and the new different outbreaks and hotspots that are popping up. And so we also have to kind of keep up with where they're going on these data dashboards. So they're adding more data into these reports so we know we have to optimize that. And then there's these kind of tangential work. So for example, COVID brought about, unfortunately, a lot of domestic violence reports. And so we have a lot of domestic violence agencies that we work with and that we have interactions with and to monitor their work, we have certain processes. So that's kind of like COVID-adjacent. But it's because it's such a very critical task, we're looking at how we can kind of help in those processes and areas. Same thing in like in our substance abuse area. We have substance use disorder treatment services that we provide. And we're delivering those at a higher rate because COVID kind of created more of a crisis than we would've liked. And so that's how we're prioritizing. It's really about what is the social need, what does the community need, and how can we put the technology work in those areas? >> So how do you envision the future of automation in your organization and the future of your organization? What does that look like? Paint a picture for us. >> So I'm hoping that it really does, you know, so we're going to take everything that's COVID related in the disease control areas, both in terms of our laboratory operations, in terms of our clinic operations, the way we respond, vaccination campaigns, things of that nature. And we're going to look at it to see what can efficiencies can we do there because it's a natural outgrowth of everything we've done on COVID up to this point. So, you know, it's almost like it's as simple as you're just replicating it with another disease. The disease might have different characteristics, but the work process that we follow is very similar. It's not like we're going to change everything and do something completely different for a respiratory condition as we would for some other type of foodborne condition or something else that might happen. So we certainly see very easy opportunities to just to grow out what we've already done in terms of the processes is to do that. So that's wave one, is really focus on that grow out. The second piece I think is to look at these kind of other general kind of community-based type of operations and see what operations we can do there to kind of implement some improvements there. And then I'm certainly in my new role of, in Deputy Director of Operation, I'm a CIO before. Now that I'm in this operations role, I have access to the full administrative apparatus for the department. And believe me, there's enough to keep me busy there. (Dave V. Laughing) And so that's going to be kind of my third prong is to kind of look at the implement there. >> Awesome. Go ahead, Dave. >> Yeah, so, this is going to be taking a step back, kind of a higher level view. If we could direct the same level of rigor and attention towards some other thing that we've directed towards COVID, if you could snap your fingers and make that happen, what would that thing be in the arena of public health in LA County in particular, or if you want California, United States. What is something that you feel maybe needs more attention that it's getting right now? >> So I think I touched on it a little bit earlier, but I think it's the thing we've been always been trying to get to is how to really become just very intentional about how we share data more actively, right? I don't have to know everything about you, but there are certain things I care about when you go to the doctor for that doctor and that physician to tell me. Our physicians, our healthcare system as you know, is always under a lot of pressure. Doctors don't have the time to sit down and write a form out for me and tell me everything that's going on. During COVID they did because they were, they cared about their patients so much and knew, I need to know what's going on at every single moment. And if I don't tell you what's going on in my office, you'll never know and can't tell us what's going on in the community. So they had a vested interest in telling us. But on a normal day-to-day, they don't have the time for that. I got to replace that. We got to make sure that when we get to, not me only, but everyone in this public health community has to be focused and working with our healthcare partners to automate the dissemination and the distribution of information so that I have the information at my fingers, that I can then tell you, "Here's what's going on in your local community," down to your neighborhood, down to your zip code, your census tracked, down to your neighbors' homes. We'll be able to tell you, "This is your risk. Here are the things that are going on. This is what you have to watch out for." And the more that we can be more that focused and laser-focused on meeting that goal, we will be able to do our job more effectively. >> And you can do that while preserving people's privacy. >> Privacy, absolutely. >> Yeah, absolutely. But if people are informed then they can make their own decisions. >> Correct. >> And they're not frustrated at the systems. David, we got to wrap. >> Sure. >> But maybe you can help us. What's your impression of the, first of all, is this your first Forward? You've been to others? >> This is my first time. >> Okay. >> My first time. >> What's your sort of takeaway when you go back to the office or home and people say, "Hey, how was the show? What, what'd you learn?" What are you going to say? >> Well, from just seeing all the partners here and kind of seeing all the different events I've been able to go to and the sessions there's, you don't know many times I've gone to and say, "We've got to be doing that." And so there's certainly these opportunities for, you know, more AI, more automation opportunities that we have not, we just haven't even touched on really. I think that we really need to do that. I have to be able to, as a public institution at some point our budgets get capped. We only have so much that we're going to receive. Even riding this wave, there's only so much we're going to be able to get. So we have to be very efficient and use our resources more. There's a lot more that we can do with AI, a lot more with the tools that we saw, some of the work product that are coming out at this conference that we think we can directly apply to kind of take the humans out of that, their traditional roles, get them doing higher level work so I can get the most out of them and have this other more mundane type of work, just have the systems just do it. I don't need anybody doing that necessarily, that work. I need to be able to leverage them for other higher level capabilities. >> Well thank you for that. Thanks for coming on theCUBE and really appreciate. Dave- >> It's been great talking to you guys, thank you. >> Dave, you know, I love software shows because the business impact is so enormous and I especially love cool software shows. You know, this first of all, the venue. 3,500 people here. Very cool venue. I like the fact that it's not like booth in your face, booth competition. I mean I love VMware, VMworld, VMware Explore. But it's like, "My booth is bigger than your booth." This is really nice and clean, and it's all about the experience. >> A lot of steak, not as much sizzle. >> Yeah, definitely. >> A lot of steak. >> And the customer content at the UiPath events is always outstanding. But we are entering a new era for UiPath, and we're talking. We heard a lot about the Enterprise platform. You know, the big thing is this company's been in this quarterly shock-lock since last April when it went public. And it hasn't all been pretty. And so new co-CEO comes in, they've got, you know, resetting priorities around financials, go to market, they've got to have profitable growth. So watching that that closely. But also product innovation so the co-CEOs will be able to split that up, split their duties up. Daniel Dines the product visionary, product guru. Rob Enslin, you know- making the operations work. >> Operations execution business, yeah. >> We heard that Carl Eschenbach did the introduction. Carl's a major operator, wanted that DNA into the company. 'Cause they got to keep product innovation. And I want to, I want to see R&D spending, stay relatively high. >> Product innovation, but under the heading of platform. And that's the key thing is just not being that tool set. The positioning has been, I think, accurate that, you know, over history, we started with these RPA tools and now we've moved into business process automation and now we're moving into new frontiers where, where truly, AI and ML are being leveraged. I love the re-infer story about going in and using natural national (chuckles) national, natural language processing. I can't even say it, to go through messaging. That's sort of a next-level of intelligence to be able to automate things that couldn't be automated before. So that whole platform story is key. And they seem to have made a pretty good case for their journey into platform as far as I'm concerned. >> Well, yeah, to me again. So it's always about the customers, want to come to an event like this, you listen to what they say in the keynotes and then you listen to what the customers say. And there's a very strong alignment in the UiPath community between, you know, the marketing and the actual implementation. You know, marketing's always going to be ahead. But, we saw this a couple of years ago with platform. And now we're seeing it, you know, throughout the customer base, 10,000+ customers. I think this company could have, you know, easily double, tripled, maybe even 10x that. All right, we got to wrap. Dave Nicholson, thank you. Two weeks in a row. Good job. And let's see. Check out siliconangle.com for all the news. Check out thecube.net; wikibon.com has the research. We'll be on the road as usual. theCUBE, you can follow us. UiPath Forward 5, Dave Vellante for Dave Nicholson. We're out and we'll see you next time. Thanks for watching. (gentle music)

>>Welcome back everyone to the Cube's live coverage of VMware Explorer, 2022. I'm John furrier with Dave Valante host of the cube. We're here on the ground floor, Moscone west two sets Walter Wall coverage. Three days. We heard Laura Heisman, the senior vice president and CMO of VMware, put it all together. Great to see you. Nice, thanks for, to see you for spending time outta your very busy week. >>It is a busy week. It is a great week. >>So a lot of people were anticipating what world was gonna look like. And then the name changed to VMware Explorer. This is our 12th year covering VMware's annual conference, formerly known ASM world. Now VMware Explorer, bold move, but Raghu teased it out on his keynote. Some reason behind it, expand on, on the thought process. The name change, obviously multi-cloud big headline here. vSphere eight partnerships with cloud hyperscale is a completely clear direction for VMware. Take us through why the name changed. Exactly, exactly. And why it's all coming together. Think he kind of hinted that he kinda said exactly, you know, exploring the new things, blah, blah, blah. Yeah. But take us through that. You've architected it. >>Yeah. It is a, a change of, we have a great past at VMware and we're looking to our future at the same time. And so when you come back from a pandemic and things changing, and you're really looking at the expansion of the business now is the time because it wasn't just to come back to what we were doing before. And every company should be thinking about that, but it's what are we gonna do to actually go forward? And VMware itself is on our own journey as expanding in more into the cloud, our multi-cloud leadership and everything that we're doing there. And we wanted to make sure that our audience was able to explore that with us. And so it was the perfect opportunity we're back live. And VMware Explorer is for everyone. That's been coming Tom world for so many years. We love our community and expanding it to our new communities that maybe don't have that legacy and that history and have them here with us at >>VMware. You did a great job. I love the event here. Love how it turned out. And, and a lot of interesting things happened along the way. Prior to this event you had we're coming outta the pandemic. So it's the first face to face yes. Of the VMware community coming together, which this is an annual right of passage for everyone in the customer base. Broadcom buys VMware. No, no, if you name change it to VMware Explorer and then Broadcom buys VMware. So announces, announces the, the buyout. So, and all the certainty, uncertainty kind of hanging around it. You had to navigate those waters, take us through, what was that like? How did you pull it off? It was a huge success. Yeah, because everyone showed up. Yeah. It's, it's, it's the same event, different name, >>It's >>Same vibe. >>The only thing constant is change. Right? And so it's the, we've gotta focus on the business and our VMware customers and our partners and our community at large. And so it's really keeping the eye on what we're trying to communicate to our community. And this is for our VMware community. The VMO community is here in spades. It is wonderful to have the VMO community here. We have tons of different customers, new customers, old customers, and it's just being able to share everything VMware. And I think people are just excited about that. It's great energy on the show floor and all >>Around. And it's not like you had years to plan it. I mean, you basically six months in you, you went, you said you went on a six month listening tour the other day. What was the number one question you got on that listening tour? >>Well, definitely about the name change was one, but I would say also, it's not just the question. It was the ask of, we have we're in what we call our chapter three here. And it's really our move into multicloud and helping all of our customers with their complexities. >>So virtualization, private cloud, and now multi-cloud correct. The third chapter. >>Yeah. And the, the question and the ask is how do we let our customers and partners know what this is, help us Laura. Like that was the number one ask to me of help us explain it. And that was my challenge and opportunity coming into explore, and really to explain everything about our, if you watched the gen session yesterday, these was, was going through our multiple different chapters where we are helping our customers with their multi-cloud strategies. And so it is been that evolution gets us today and it doesn't end today. It starts today. And we keep going, >>Like, like a lot of companies, obviously in you in this new role, you inherited a hybrid world and, and you've got, you got two years of virtual under your belt, and now you're running a completely different event from that standpoint. How does the sort of the COVID online translate into new relationships and how you're cultivating those? What's that dynamic like? >>Well, let's start with how happy everyone is to see each other in person. No doubt. Yeah. It is amazing just to see people, the high fives in the hallways, the hugs, oh, some people just the fist pump, whatever people mats are there masks aren't there, right? It is something of where everyone's comfort level, but it is really just about getting everyone together and thinking about how do, how was it before the pandemic? You don't necessarily just wanna repeat coming back. And so how do you think about this from an in-person event? People have been sitting behind their screens. How do we engage and how are we interactive? Knowing that attention spans are probably a little bit shorter. People are used to getting up and going get their coffee. We have coffee in the conference rooms, right? Things like that, making the experience just a really great one for everyone. So they're comfortable back in person, but I mean, honestly the energy and seeing people's smiles on their faces, it's wonderful to be back in person. >>It's interesting, you know, the cube, we've had some transformations ourselves with the pandemic and, and living through and getting back to events, but hybrid cloud and hybrid events is now the steady state. So, and in a way it's kind of interesting how hybrid cloud and now multi-cloud the digital aspect of integrating into the physical events is now key. First class citizen thinking. Yeah. For CMOs, you guys did a great job of preserving the, the, the, the best part of it, which is face to face people seeing each other and now bringing in the digital and then extending this. So that it's an always on kind of explore. Is that the thinking behind it? Yes. What's your vision on where you go next? Because if it's not, it's not one and done and see you next year. No anymore, because no, the pandemic showed us that hybrid and digital and physical together. If design as first class citizens with each other. Yeah. One sub-optimize me obviously face to face is better than digital, but if you can't make it, it shouldn't be a bad experience. >>No, not at all. Good's your vision. And, and we're in a point where not everyone's gonna come back, that everyone has what's going on with their life. And so you have to think about it as in person and online, it's not necessarily even hybrid. And so it's, what's the experience for people that are here, you know, over 10,000 people here, you wanna be sure that that is a great experience for them. And then our viewers online, we wanna be sure that they're able to, to know what's going on, stay in touch with everything VMware and enjoy that. So the gen session that was live, we have a ton of on demand content. And this is just the start. So now we go on to essentially multiple other VMware explorers around the world. >>It's interesting. The business model of events is so tickets driven or sponsorship on site on the location that you can get almost addicted to the, no, we don't wanna do digital and kind of foreclose that you guys embraced the, the combo. So what's the attendance. I mean, probably wasn't as big as when everyone was physical. Yep. What are some of the numbers? Can you give us some D data on attendance? Some of the stats around the show, cuz obviously people showed up and drove. Yes. It wasn't a no show. That's sure a lot of great stuff here >>We have. So it's over 10,000 people that are registered and we see them here. The gen session was packed. They're walking the show floor and then I don't have the numbers yet for our online viewership, but everything that we're doing to promote it online, if anyone missed it online, the gen session is already up and they'll see more sessions going live as well as all the on demand content so that everyone can stay in the loop of what's happening. And all of our announcements, >>You're obviously not disappointed. Were you surprised? A little nervous. >>So I will say one thing that we learned from others, thank goodness others have gone before us. So as far as coming back in person is the big change is actually registration happens closer to the event, right. Is a very big change from pre so, >>So it's at the end. Yes. >>The last three weeks. And we had been told that from peers at RSA and other conferences, that that's what happens. So we were prepared for that, but people wanna know what's going on in the world. Yeah. Right. You wanna have that faith before you buy that ticket and book your travel. And so that has definitely been one of the biggest changes and one that I think that will maybe continue to see here. So that was probably the biggest thing that changed as far as what to expect as registration. But we planned for this. We knew it was not going to be as big in the past and that that's gonna be, I think the new norm, >>I think you're right. I think a lot of last minute decisions, you know, sometimes people >>Wanna know, I mean, it's, what's gonna happen another gonna be outbreak or, I mean, I think people have gotten trained to be disappointed >>Well and be flexible >>With COVID I and, and, and weirded out by things. So people get anxiety on the COVID you've seen that. Yeah. >>Yeah. Yeah. I wanna ask you about the developer messaging cause that's one of the real huge takeaways. It was so strong. And you said the other day in the analyst session, the developers of the Kings and the Queens now, you know, we, when we hear developers, we think we pictured Steve Bama running around on stage developers develop, but it's different. It's a different vibe here. It it's like you're serving the Kings in the, in the Queens with, through partnerships and embracing open source. Can you talk a little bit about how you approached or, and you are approaching developer messages? Yeah, >>I, so, you know, I came from GitHub and so developers have been on my mind for many years now. And so joining VMware, I got to join this great world of enterprise software background and my developer background. And we have such an opportunity to really help our developer community understand the benefits of VMware to make them heroes just like we made sort of virtualization professionals heroes in the past, we can do the same thing with developers. We wanna be sure that we're speaking with our developer community. That was very much on stage as well as many of the sessions. And so our, we think about that with our products and what we're doing as far as product development and helping developers be able to test and learn with our products. And it's really thinking about the enterprise developer and how can we help them be successful. >>And I think, I think the beautiful thing about that message is, is that the enterprises that you guys have that great base with, they're all pretty much leaned into cl cloud native and they see it and it's starting to see the hybrid private cloud public cloud. And now with edge coming, it's pretty much a mandate that cloud native drive the architecture and that came clear in the messaging. So I have to ask you on the activations, you guys have done how much developer ops customer base mix are you seeing transfer over? Because the trend that we're seeing is is that it operations and that's generic. I'll say that word generically, but you know, your base is it almost every company has VMware. So they're also enabling inside their company developers. So how much is developer percentage to ops or is they blending in, it's almost a hundred percent, which how would you see >>That it's growing? So it's definitely growing. I wouldn't say it's a hundred percent, but it is growing. And it is one where every company is thinking about their developer. There's not enough developers in the world per the number of job openings out there. Everyone wants to innovate fast and they need to be able to invest in their developers. And we wanna be able to give them the tools to be able to do that. Cuz you want your developers to be happy and make it easier to do their jobs. And so that's what we're committed to really being able to help them do. And so we're seeing an uptick there and we're seeing, you'll see that with our product announcements and what we're doing. And so it's growing. >>The other thing I want to ask you, we saw again, we saw a lot of energy on the customer vibe. We're getting catching that here, cuz the sessions are right behind us and upstairs the floor, we've heard comments like the ecosystem's back. I mean not to anywhere, but there was a definitely an ecosystem spring to the step. If you will, amongst the partners, can you share what's happening here? Observations things that you've noticed that have been cool, that that can highlight some trends in the partner side of it. Yeah. What's going on with partners. >>Yeah. I mean our partners are so important to us. We're thrilled that they're here with us here. The expo floor, it is busy and people are visiting and reuniting and learning from each other and everything that you want to happen on the expo floor. And we've done special things throughout the week. For example, we have a whole hyperscaler day essentially happening where we wanna highlight some of the hyperscalers and let them be able to, to share with all of our attendees what they're doing. So we've given them more time within the sessions as well. And so you'll see our partner ecosystem all over the place, not just on the expo >>Floor, a lot of range of partners. Dave, you got the hyperscalers, you have the big, the big whales and cloud whales. And then you have now the second tier we call 'em super cloud type customer and partners. And you got the multi-cloud architecture, developing a lot of moving parts that are changing and growing and evolving. How do you view that? How you just gonna ride the wave? Are you watching it? Are you gonna explore it through more, you know, kind of joint marketing. I mean, what's your, how do you take this momentum that you have? And by the way, a lot of stuff's coming outta the oven. I was talking with Joan last night at the, at the press analyst event. And there's a lot of stuff coming outta the VMware oven product wise that hasn't hit the market yet. Yep. That's that's that's I mean, you can't really put a number on that sales yet, but it's got value. Yep. So you got that happening. You got this momentum behind you, you just ride the wave and what's the strategy. Well, >>It is all about how do we pass to the partner, right? So it is about the partner relationship. And we think about that our partner community is huge to us at VMware. I'm sure you've been hearing that from everyone you've been speaking to. So it's not even it's ride the wave, but it's embrace. Got it. It's embrace our partners. We need their help, our customer base. We do touch everybody and we need them to be able to support us and share what it is that we're doing from our product E evolution, our product announcements. So it's continuous education. It's there in educating us. It's definitely a two way relationship and really what we're even to get done here at explore together. It's progress that you can't always do on a zoom or a teams call or a WebEx call. You can't do that in two weeks, two years sometimes. And we're able to even have really great conversations >>Here and, and your go to market is transforming as well. You, you guys have talked about how you're reaching many different touchpoints. We've talked about developers. I mean, the other thing we've seen at events, we talked about the last minute, you know, registrations. The other thing we've seen is a lot more senior members of audiences. And now part of that is maybe okay, maybe some of the junior folks can't travel, they can't get, but, but, but why is it that the senior people come, they, they maybe they wouldn't have come before maybe because they're going through digital transformations. They wanna lean in and understand it better. But it seemed, I know you had an executive summit, you know, on day zero and Hawk 10 was here and, and so forth. So, okay. I get that. But it seems in talking to the partners, they're like, wow, the quality of the conversations that we're having has really been up leveled compared to previous years in other conferences. >>So yeah. Yeah. I think it's that they're all thinking about their transformation as well. We had the executive summit on day zero for us Monday, right? And it was a hundred plus executives invited in for a day who have stayed because they wanna hear what's going on. When I joined VMware, I said, VMware has a gift that so many companies are jealous of because we have relationships with the executives and that's what every company's startup to large company wants. And they're, they're really trusted customers of ours. And so we haven't been together and they want to be here to be able to know what's going on and join us in the meetings. And we have tons of meetings happening throughout >>The event and they're loyal and they're loyal. They're absolutely, they're active, active in a good way. They'll give you great feedback, candid feedback. Sometimes, you know, you might not wanna hear, but it's truthful. They're rare, engaging feedback gift. And they stay with you and they're loyal and they show up and they learn they're in sessions. So all good stuff. And then we only have about a minute left. Laura. I want to get your thoughts and, and end the segment with your explanation to the world around explore. What's next? What does it mean? What's gonna happen next? What does this brand turn into? Yeah. How do you see this unfolding? How do people, how should people view the VMware Explorer event brand and future activities? >>Yeah. VMware Explorer. This is just the start. So we're after this, we're going to Brazil, Barcelona, Singapore, China, and Japan. And so it is definitely a momentum that we're going on. The brand is unbelievable. It is so beautiful. We're exploring with it. We can have so much fun with this brand and we plan to continue to have fun with this brand. And it is all about the, the momentum with our sales team and our customers and our partners. And just continuing what we're doing, this is, this is just the beginning. It's not the, it's a global >>Brand explore >>Global. Absolutely. Absolutely. >>All right, Dave, that's gonna be great for the cube global activities. There you go, Laura. Great to see you. Thank you for coming on. I know you're super busy. Final question. It's kind of the trick question. What's your favorite aspect of the event? Pick a favorite child. What's going on here? Okay. In your mind, what's the most exciting thing about this event that that's near and dear to >>Your heart? So first it's hearing the feedback from the customers, but I do have to say my team as well. I mean, huge shout out to my team. They are the hub and spoke of all parts of explore. Yeah. VMware Explorer. Wouldn't be here without them. And so it's great to see it all coming >>Together. As they say in the scoring and the Olympics, the degree of difficulty for this event, given all the things going on, you guys did an amazing job. >>We witnessed >>To it. Congratulations. Thank you. Thank you for a great booth here. It looks beautiful. Thanks for coming. Wonderful. >>Thank you for >>Having me. Okay. The cues live coverage here on the floor of Moscone west I'm Trevor Dave. Valante two sets, three days. Stay with us for more live coverage. We'll be right back.

>>Well, hi everybody, John Walls here, continuing our coverage on the cube of splunk.com 21. And then we talked a lot about data these days of companies and enterprise all the way down to small business and the importance of day to day to security data protection. But the public sector also has those very same concerns and some unique worries as well. And with me to talk about the public sector and its data transformation, and of course what's going on in that space is Jeremy Reesey, who was the group vice president of the public sector at Splunk. Jeremy. Good to see you today. Thanks for joining us. Thank you. >>Thanks for making time for me, John. You bet. >>Glad to have you. Well, let's, let's just, if first off, let's just paint the picture for those watching who are kind of focused on the private sector a little bit, just share with some general thoughts about the public sector and what's going on in terms of its digital transformation and what kind of concerns or, um, I guess, challenges you think there are broadly speaking first in the public sector around. >>Thanks, John. There's quite a bit of transformation going on right now in our government. And just like in industry, we've seen the pandemic as a catalyst for a lot of that transformation. Uh, you may have seen that Splunk recently released a report on the state of data innovation. And what we found is that, um, a lot of good things are happening, but the government still has a lot of work to do. And so there were pockets of excellence that we saw in the last 18 months where agencies really responded to things like the requirement for vaccinations and the requirement for monitoring, uh, health status in general. Uh, and we saw tremendous, um, speed in rolling out things like tele-health across, uh, the veterans affairs administration. But, uh, we also saw in our report that there were many agencies that haven't yet been able to modernize in the way that they want. And one of the inhibitors to that, frankly, John is their ability to adopt software as a service. And so we've seen a lot of things happening in the last year that, um, moved agency customers towards software as a service, but there's work yet. >>So, and why is that? So when you're talking about SAS, is it, is it, um, bureaucratic, uh, red tape as a regulatory issues? Or is it just about, uh, this is a large, huge institution that makes independent decisions, you know, HHS might make decisions separate from state separate from deity, uh, and then it's fragmented. I mean, what are those challenges? >>Sure. Well, I think there are two sides of a John. I think that our government is inherently designed to move cautiously and to move in such a way that we don't make mistakes. Uh, you use the word re bureaucratic. I'm not a huge fan of that word, but I understand the sentiment. Uh, I think that there are layers to any decision that any part of the government makes and certainly that support of, um, inhibiting speed. But I think the other part of it is our acquisition rules and regulations. And I think we've seen a number of positive changes made, uh, not only in the last administration, but even in this current administration that are helping our government agencies to take advantage of software as a service. Um, but there's still work to do there as well. Uh, we've seen the rise of things like, uh, other transactional authorities, OTAs. Uh, we've seen the establishment of an agile procurement office inside the general services administration, GSA, uh, but uh, other parts have heritage systems, systems that are working really well. And you don't want to change something that's not broken just for the sake of changing it. You want to change it in such a way, uh, that you really do transform and deliver new capabilities. >>Yeah. And I guess, um, you know, it's a matter of obviously of developing an expertise and, and maybe confidence too, right? Because this is, this is a new world, a new tech world, if you will here in the 21st century. And, um, and maybe I misused the word bureaucratic. Um, and I know you said you don't like it, but, but there's a certain kind of institutional energy or whatever you want to call it that kind of prohibits fast changes and, and is cautious and is conservative because, I mean, these are big dollar decisions and they're important decisions to based on security. So, I mean, how do you wrap your arms around that from a Splunk perspective to deal with the government, you know, at large, uh, when they have those kinds of, um, uh, I guess considerations >>Certainly, well, the beauty of where we find ourselves today is that data is incredibly powerful and there's more data available to our agency customers or to any company than ever before. So Splunk is inherently a data platform. We allow our customers be the agency customers, or be the industry customers to ask questions of data that they collect from any source, be it a structured data or unstructured data using Splunk, a customer can say, what's happening. Why is it happening? Where is it happening? And that's incredibly powerful. And I think, um, in this current age where, uh, the pandemic is forcing us to rethink how we deliver services and citizen services specifically, uh, having a data platform is incredibly powerful because the way that we're answering questions today is different than the way we answered questions last year. And it may be very different the way we have to ask questions a year from now. Uh, and that's really what Splunk's is delivering to our customers is that flexibility to be able to ask any question of any data set, uh, and to ask those questions in the context of today, not just the context that they knew yesterday. >>Yeah. W w and you mentioned the pandemic, what has that impact then? Um, obviously the need of, uh, I think about, you know, vaccination of disease, monitoring of outbreak monitoring, uh, emergency care, ICU units, all these things, um, critically important to the government's role right now, um, and continue to be, so what kind of impact has the, the pandemic had in terms of their modernization plans? Um, I'm guessing some of these had to be put on hold, right? Because you've, you've got, uh, you've got an emergency and so you can't conduct business as usual. >>Sure. So it's caused a shift in priorities as you know, John, and then it's also caused us to rethink what has to be done in person and what can be done remotely. And when we think about what can be done remotely, we're seeing a proliferation of devices. Um, we're seeing a proliferation of, uh, the, the level of network access, uh, that is enabled and supported. And with that, we see new security concerns, right? We are seeing, uh, uh, really, uh, an intriguing rise of thought around authentication and making sure that the right person is coming in from the right device, uh, using the right applications at the right time, that is incredibly challenging for our agency customers. Uh, and they have to think about what's happening in, in ways that they didn't have to last year. >>Let's talk about certification a little bit, and I know you announced a FedRAMP a couple of years ago, and now you've come out with a new iteration, if you will. Um, I hear about that. So walk me through that a little bit in our audience as well. And then just talk about the value of certification. Why does that really matter? What's the importance of that? >>Thanks, John. We did recently announced that we've received a provisional authority to operate, uh, in aisle five impact level five. And that's incredibly exciting. I've, I've never worked for a software company that had FedRAMP certification previously. And I think it demonstrates Splunk's commitment to this market, the public sector market. Uh, we are absolutely, um, committed to delivering our software in any environment at any level of classification that our customers need, and that allows them to rest assured that they can decide anything they want to about their data without worrying about the sanctity of that data itself, or the platform that they're using to process that data. That's incredibly exciting. I hope, >>Yeah. You mentioned, uh, the current administration just a little bit ago, you know, the Biden administration, um, no executive orders, you know, focusing in on, on, um, use of, of, uh, or I guess taking appropriate measures, right. To protect your data cyber from a cyber security perspective. Um, what exactly has that done to change the approach the government is taking now, uh, to protecting data and then how have you adapted to that executive order to provide the right services for governments looking to, to make sure they meet those standards and that criteria? >>Well, it's an exciting time as you, as you point out on May 12th, president Biden's son and executive order on improving the nation's cybersecurity. So, uh, from the highest levels, we're seeing the government sort of set a baseline for what makes sense. And they went further in a memo just released on August 27th, uh, by releasing what they call an enterprise logging maturity model. And it has four levels. And it, it indicates what sorts of data agencies should be storing from, and in their systems and for how long they should be storing it. And that's incredibly exciting because a lot of agencies are using Splunk, uh, to make sense of that data. And so this gives them sort of a baseline for what data do they need to collect? How long do they need to keep it collected for what questions do they need to ask of it? And as a result, um, we're making some offers to our customers about how they use Splunk, uh, how they take advantage of our cloud-based storage within our product, um, how they take advantage of our services in mapping their data strategy to this enterprise logging maturity model. And it represents a great opportunity to sort of take a step forward in cybersecurity for these agency customers. >>Yeah. I'm kind of curious here. I mean, I, I came from the wireless space and we had an active dialogue with the government in terms of, uh, communications, emergency communications, um, and, um, and also in, in services, the rural areas, that kind of thing. But sometimes that collaboration didn't go as smoothly as we would've liked, frankly. And, and so maybe lessons have been learned from that in terms of how the private sector melds with the public sector and works with the policy makers, you know, in that respect, what, how would you characterize just overall the relationship, you know, the public private sector relationship in terms of, you know, the sharing of resources and of information and collaboration? >>Well at the federal government level, uh, there's always been pretty incredible collaboration between industry and government, but I think, um, we at Splunk have been engaged through organizations like the Alliance for digital innovation, uh, the us chamber of commerce, um, act by act the American council for technology and the industry advisory council. And we're seeing a rise actually in university partnerships as well, particularly at the state level where, uh, let's say local governments are saying, Hey, we don't have the capacity to do some of these things that we now know we need to do. And we know that, uh, some of those things could be done in collaboration with our university partners and with our state partners. Um, and that's exciting. I think that it is an era where everyone realizes there are new threats. Uh, there are threats that are, um, hard to handle in a silo and that the more we collaborate, whether it's government industry collaboration, or whether it's cross government collaboration, or whether it's cross industry collaboration, the better, and the more effectively, uh, we'll solve some of these problems that face us as a nation. >>What do you make a great point too? Because, uh, it is about pulling resources at some point, and everybody pulling together, uh, in order to combat what has become a certainly vaccine, uh, challenge to say the least Jeremy, thanks for the time. Uh, I appreciate it. And, uh, wish you all the success down the road. >>Thanks for having me, John, you >>Bet Jeremy Risa joining us, talking about the public sector and sparks just exemplary work in that respect. You're watching the cube. Our coverage continues here of.com for 21.

>> Announcer: From around the globe it's theCUBE with digital coverage of IBM Think 2021. Brought to you by IBM. >> And welcome back here on theCUBE. John Walls, your host with you as we continue our IBM Think 2021 initiative. Been talking a lot about IBM's assistance in terms of what it's doing for its client-base. We're going to talk about partnerships today, a little bit with Bill Patterson who is the EVP and General Manager of CRM Applications at Salesforce who has a really good partnership in great practice right now, with IBM. And Bill, thanks for the time today. Lookin' forward to spending some time with you, here. >> Yeah, thank you John, thanks for having me today. >> You bet. Well, let's just jump right in. First off, let's share with the viewers about your core responsibilities at Salesforce. We talked about CRM, what your engagement is there, but if you would just kind of of give us an idea of the kind of things that you're handling on a day-to-day basis. >> Well, I am responsible for our CRM applications here, at Salesforce, which are our sales cloud technologies to help organizations get back to growth, our service cloud technologies which are really helping organizations to take care of their customers, you know, through all moments of the digital lifecycle, our small business solutions, so to help growing organizations thrive, and our Work.com and vaccine management solutions which are helping the economy safely reopen through the crisis modes that we've all been living in. So broad range responsibilities and my day-to-day is nothing like it was a year ago. >> Yeah and I could only imagine, especially when you throw that last component in, COVID, which hopefully, we'll have time to talk about just because, I think, people are so are taken to the subject now and obviously it's impacting business on so many different levels. But let's talk, first off, about IBM and your partnership with them, kind of the genesis of that, how that came about, and maybe how you're working together. How are you integrated these days with IBM? >> Well, you know, one of the things at Salesforce that are key value as an organization is is to establish trust around the transformation of organizations across the world. And when you think about brands that you can trust to drive transformations with, IBM and Salesforce really stand apart. So IBM is an incredible partner for us on the technology side, on a service delivery side, and in an innovation side for us to create new solutions to help our clients really go in this from-to state of how their businesses used to operate to how they need to operate in the future. I loved working with the IBM team. We have a lot of great values that are shared across our two organizations. But most fundamentally, those values are deeply rooted in customer success. And I think that that is one of the things that really draws me too, working with such a great partner here. >> Go into the process a little bit, if you will. So if I'm a prospective client of yours and I come to you with some cloud needs, you know, again, whether it's storage or whether it's applications or whether it's Edge, whatever it is I'm coming to you for, how do you then translate that to IBM and how does IBM come into play, where do the boundaries kind of start and stop or do they? Or is it a complete mesh? >> Yeah, well I think one of the things that's sort of unique about today's climate is people aren't just looking to solve technology problems, they're looking to solve business problems. And what we really do at Salesforce is lead with the business transformation opportunity and deeply partner with IBM on a number of fronts to really go help those opportunities become realized. The first is in the services line. IBM has great partnerships with Salesforce around the transformation about core business processes, configuration, integration services. That's one of the dimensions that we work together on. We also work together on areas of artificial intelligence and how we help businesses become smart in their operations every day to empower their workforce to really achieve more. And finally, you know that you mentioned about core technology, you know, oftentimes, the business requirements translate into great technology transformation. And that's what we do deeply with the IBM team is really outlining a blueprint and a roadmap for modernizing the technical infrastructure to help organizations move fast, increase their operational agility, and run at such scale and safely in today in the modern world that we all operate in on. So through all those facets of the lifecycle, IBM continues to be one of our leading partners, globally, to help clients, you know, not just here, in the United States, but around the world to think about how they need to maximize their transformational abilities. >> Yeah, and you touched on this at the outset of the interview. We were talking about IBM and the impact and obviously, the great association relationship that you have with them and the value in that. I'd like you to amplify on that a little bit more in terms of, specifically, what are you getting out of it you think, from a Salesforce perspective to have kind of the power and the weight and the bench, basically, that IBM provides. >> Well you think about transformation and you know, you read a lot about digital transformation online, that means so many different things to so many different businesses. Businesses, not just, like I said, here in one country, but globally, the transformational needs really need to come with incredible bench and domain expertise by industry, by geography, even by some micro-regions in those geographies given what we've been experiencing here, in the public sector in the United States with this COVID response activity we've been doing with the IBM team. And so when you talk about the deep bench, what I love about working with IBM on is, again, commanding just great industry insights and knowledge of where industries are heading and also cross-industry insights so that you can really bring great best practices from say, one industry to another. Second is that real understanding of the global nature of business today. And I don't think the one thing that's fascinating about digital, it is not a sovereign identity, today. Digital really means that you need to understand how to operate in every country, every region, every location, you know, safely. And so IBM has incredible depth in bench of experiences to help our clients truly transform those areas. Maybe another area that I really have appreciated working with IBM on is that deep technical understanding and deep technical domain of excellence maybe in the area of artificial intelligence. And our partnership is quite unique between Salesforce and IBM. Not only do we work together for external clients but inside of IBM, IBM is using Salesforce today to run a lot of your core operations. And so the partnership we work with, not only IBM as a kind of delivery excellence, but internally as a customer, is really helping IBM transform its operations from service to sales to marketing all around the world. So I think this partnership is one that is deeply rooted in working together and really, like I mentioned before, finding the right path to drive the outcomes of tomorrow. >> You know, you mentioned COVID and so we'd like to touch on that. But I assume that's a big part of your current relationship, if you will, in terms of the partnership goes. What, specifically, are you doing with IBM in that space and what have you done, and then what are you continuing to do as we go through now, the vaccination process and the variant identification processes and all these things? So maybe you can share with our viewers a little bit about the kinds of things that you have been working on together and the kind of progress that you've been making. >> Well, back a year ago, you know, when the world was really at a standstill, Salesforce created a solution called Work.com which was to engineer new technologies to help businesses kind of deal with the reality of a hard shutdown to business in the, say, private sector and then in the public sector, to really create new innovation around key solutions like contact tracing that you might have needed to track, you know, kind of outbreak and the rate of progression of the virus. And what we did with the IBM team, working with clients around the world first was work together to deploy those technologies rapidly into the hands of our customers. Through those moments of opportunity and realization, you know, working with our clients, we also started to hear of, you know, kind of about where we find ourselves today, this mass vaccination wave of where our citizens and societies are kind of on the recovery journey. And the work that we did with IBM was to start to plan out the next wave of recovery options around vaccine managements, Salesforce creating a core vaccine scheduling, distribution, and administration management services and IBM focusing on more of that credentialing and vaccination state of how someone has gone from receiving a shot in arm to now having a trusted profile of which vaccines, when did you receive them, are they still accurate and valid around those solutions. So where we're working with the IBM team most acutely on COVID now is in the vaccine credential management side through Watson Health. >> Well, can you give us an idea now, let's see if we can dig in a little deeper on some of those other things you talked about to about core technologies, you talked about, I mentioned Edge, you know, and that's people tryin' to figure out how they integrate these Edge technologies into their primary systems, now. So can you give us some examples, some specific examples of some things that you're actually collaborating on today in those areas or maybe another that comes to mind? >> Yeah, Edge computing is probably one of the other more exciting things that we're doing with the IBM team and I think you find that really working with our field service business and IBM cloud services, you know, globally speaking. On the Edge, as devices become smarter and more digital, they have a lot of signals that organizations can now tap into, not only for real-time intelligence but also fault intelligence when a device is starting to need repair or preventative maintenance around the solutions that kind of need to be administered. And the work that we're doing to really broker this connected, not just enterprise, but connected sort of experiences with IBM, super powerful here, because the IBM Edge services are now helping us get into anomaly detection. Those anomaly detections are automatically routing to workers who use the Salesforce field service capabilities, and now we can help organizations stay running safely and with continuity which is really all our customers are asking us for. So the ability for us to be creative and understand, you know, our parts of the picture together are really the things that I think are most exciting for what we're doing for clients around the world. >> Yeah, you mentioned continuity, kind of a cousin to that, I think, is security in a way because you're-- >> Absolutely. >> So what are you hearing from your customer-base these days with regard to security? You know, a lot of high profile instances certainly from bad state actors, as we well know. But what are you hearing in terms of security that you're looking at and maybe cooperating or collaborating with IBM on to make sure that those concerns are being addressed? >> Yeah, you know, I think, well, first off, security is on the top of minds for all decision-makers, executives, today. It's the number one threat that a lot of companies are really needed to respond to given what we've seen in the geo-political world that we're in. And security isn't just about securing your servers, it's also about securing every operational touchpoint that you might have with, you know, your every end-user or even every customer that's inter-operating with your services that you project as an organization. And what I love about working with the IBM team is, as we mentioned, you know, such great insights across all parts of technology infrastructure to really help understand both the threat level, how to contain that threat level, and more importantly, how to engineer with, you know, great solutions all the way into the hands of customers so they become safe and easy for all actors in your environment to really operate with. And that's where, again, you know, you think about a solution like mobile sales professionals, they're out traveling around the world on mobile devices, sometimes, their AG even brought their own personal devices into the enterprise. And so IBM is a great partner for ours just to help us understand the overall threat level of every device every moment that an employee might have within their organizational data, and really help create great solutions to help keep organizations running safely. >> Yeah, I think it's interesting you tell about people bringing their own devices on, back when, I remember that acronym, BYOB was like a huge thing, right? (chuckling) And this major problem or conundrum and now it's almost like an afterthought, you've got it solved, you've got it well taken care of. >> Well you think about, again, devices in the enterprise and how much we've been able to achieve with the BYOB becoming commonplace and norm, even today, the workman place from home kind of environment that we're in. I mean, who would have thought a year ago that most of our operations can be conducted safely from our home offices, not just our regional or corporate offices? And again, that's the kind of thing that working with IBM has been such a great value for our clients because no one could have forecasted that the contact center would've had to moved to your kitchen last year. And yet, we had to really go achieve that in this time and working with great partners like IBM, it became not just a conversation but real practice. >> By the way, I think I said BYOB. I meant BYOD, so you know where my mind's at, right? (chuckling) >> I wasn't going to correct you. >> Hey thanks, Bill, I appreciate that. It just kind of hit me. I think that that just, that was a Freudian slip, certainly. Hey Bill, thanks for the time. I certainly do appreciate and thanks for shining a light on this really good partnership between Salesforce and IBM. And we wish you continued success down the road with that, as well. >> Yeah, thanks again. And again, love being your partner and love the impact we're having together. >> Great, thank you very much. Bill Patterson joining us, the EVP work in CRM at Salesforce talking about IBM and that relationship that they're putting into practice for their client-base. John Walls reporting here, on theCUBE. Thanks for joining us with more on IBM Think. (soft music) ♪ Dah de dah ♪ ♪ Dah ♪

>>Hello. I'm Professor Toru Suzuki Cherif cardiovascular medicine on associate dean of the College of Life Sciences at the University of Leicester in the United Kingdom, where I'm also director of the Lester Life Sciences accelerator. I'm also honorary consultant cardiologist within our university hospitals. It's part of the national health system NHS Trust. Today, I'd like to talk to you about our Lester Clinical Data Science Initiative. Now brief background on Lester. It's university in hospitals. Lester is in the center of England. The national health system is divided depending on the countries. The United Kingdom, which is comprised of, uh, England, Scotland to the north, whales to the west and Northern Ireland is another part in a different island. But national health system of England is what will be predominantly be discussed. Today has a history of about 70 years now, owing to the fact that we're basically in the center of England. Although this is only about one hour north of London, we have a catchment of about 100 miles, which takes us from the eastern coast of England, bordering with Birmingham to the west north just south of Liverpool, Manchester and just south to the tip of London. We have one of the busiest national health system trust in the United Kingdom, with a catchment about 100 miles and one million patients a year. Our main hospital, the General Hospital, which is actually called the Royal Infirmary, which can has an accident and emergency, which means Emergency Department is that has one of the busiest emergency departments in the nation. I work at Glen Field Hospital, which is one of the main cardiovascular hospitals of the United Kingdom and Europe. Academically, the Medical School of the University of Leicester is ranked 20th in the world on Lee, behind Cambridge, Oxford Imperial College and University College London. For the UK, this is very research. Waited, uh, ranking is Therefore we are very research focused universities as well for the cardiovascular research groups, with it mainly within Glenn Field Hospital, we are ranked as the 29th Independent research institution in the world which places us. A Suffield waited within our group. As you can see those their top ranked this is regardless of cardiology, include institutes like the Broad Institute and Whitehead Institute. Mitt Welcome Trust Sanger, Howard Hughes Medical Institute, Kemble, Cold Spring Harbor and as a hospital we rank within ah in this field in a relatively competitive manner as well. Therefore, we're very research focused. Hospital is well now to give you the unique selling points of Leicester. We're we're the largest and busiest national health system trust in the United Kingdom, but we also have a very large and stable as well as ethnically diverse population. The population ranges often into three generations, which allows us to do a lot of cohort based studies which allows us for the primary and secondary care cohorts, lot of which are well characterized and focused on genomics. In the past. We also have a biomedical research center focusing on chronic diseases, which is funded by the National Institutes of Health Research, which funds clinical research the hospitals of United Kingdom on we also have a very rich regional life science cluster, including med techs and small and medium sized enterprises. Now for this, the bottom line is that I am the director of the letter site left Sciences accelerator, >>which is tasked with industrial engagement in the local national sectors but not excluding the international sectors as well. Broadly, we have academics and clinicians with interest in health care, which includes science and engineering as well as non clinical researchers. And prior to the cove it outbreak, the government announced the £450 million investment into our university hospitals, which I hope will be going forward now to give you a brief background on where the scientific strategy the United Kingdom lies. Three industrial strategy was brought out a za part of the process which involved exiting the European Union, and part of that was the life science sector deal. And among this, as you will see, there were four grand challenges that were put in place a I and data economy, future of mobility, clean growth and aging society and as a medical research institute. A lot of the focus that we have been transitioning with within my group are projects are focused on using data and analytics using artificial intelligence, but also understanding how chronic diseases evolved as part of the aging society, and therefore we will be able to address these grand challenges for the country. Additionally, the national health system also has its long term plans, which we align to. One of those is digitally enabled care and that this hope you're going mainstream over the next 10 years. And to do this, what is envision will be The clinicians will be able to access and interact with patient records and care plants wherever they are with ready access to decision support and artificial intelligence, and that this will enable predictive techniques, which include linking with clinical genomic as well as other data supports, such as image ing a new medical breakthroughs. There has been what's called the Topol Review that discusses the future of health care in the United Kingdom and preparing the health care workforce for the delivery of the digital future, which clearly discusses in the end that we would be using automated image interpretation. Is using artificial intelligence predictive analytics using artificial intelligence as mentioned in the long term plans. That is part of that. We will also be engaging natural language processing speech recognition. I'm reading the genome amusing. Genomic announced this as well. We are in what is called the Midland's. As I mentioned previously, the Midland's comprised the East Midlands, where we are as Lester, other places such as Nottingham. We're here. The West Midland involves Birmingham, and here is ah collective. We are the Midlands. Here we comprise what is called the Midlands engine on the Midland's engine focuses on transport, accelerating innovation, trading with the world as well as the ultra connected region. And therefore our work will also involve connectivity moving forward. And it's part of that. It's part of our health care plans. We hope to also enable total digital connectivity moving forward and that will allow us to embrace digital data as well as collectivity. These three key words will ah Linkous our health care systems for the future. Now, to give you a vision for the future of medicine vision that there will be a very complex data set that we will need to work on, which will involve genomics Phanom ICS image ing which will called, uh oh mix analysis. But this is just meaning that is, uh complex data sets that we need to work on. This will integrate with our clinical data Platforms are bioinformatics, and we'll also get real time information of physiology through interfaces and wearables. Important for this is that we have computing, uh, processes that will now allow this kind of complex data analysis in real time using artificial intelligence and machine learning based applications to allow visualization Analytics, which could be out, put it through various user interfaces to the clinician and others. One of the characteristics of the United Kingdom is that the NHS is that we embrace data and captured data from when most citizens have been born from the cradle toe when they die to the grave. And it's important that we were able to link this data up to understand the journey of that patient. Over time. When they come to hospital, which is secondary care data, we will get disease data when they go to their primary care general practitioner, we will be able to get early check up data is Paula's follow monitoring monitoring, but also social care data. If this could be linked, allow us to understand how aging and deterioration as well as frailty, uh, encompasses thes patients. And to do this, we have many, many numerous data sets available, including clinical letters, blood tests, more advanced tests, which is genetics and imaging, which we can possibly, um, integrate into a patient journey which will allow us to understand the digital journey of that patient. I have called this the digital twin patient cohort to do a digital simulation of patient health journeys using data integration and analytics. This is a technique that has often been used in industrial manufacturing to understand the maintenance and service points for hardware and instruments. But we would be using this to stratify predict diseases. This'll would also be monitored and refined, using wearables and other types of complex data analysis to allow for, in the end, preemptive intervention to allow paradigm shifting. How we undertake medicine at this time, which is more reactive rather than proactive as infrastructure we are presently working on putting together what's it called the Data Safe haven or trusted research environment? One which with in the clinical environment, the university hospitals and curated and data manner, which allows us to enable data mining off the databases or, I should say, the trusted research environment within the clinical environment. Hopefully, we will then be able to anonymous that to allow ah used by academics and possibly also, uh, partnering industry to do further data mining and tool development, which we could then further field test again using our real world data base of patients that will be continually, uh, updating in our system. In the cardiovascular group, we have what's called the bricks cohort, which means biomedical research. Informatics Center for Cardiovascular Science, which was done, started long time even before I joined, uh, in 2010 which has today almost captured about 10,000 patients arm or who come through to Glenn Field Hospital for various treatments or and even those who have not on. We asked for their consent to their blood for genetics, but also for blood tests, uh, genomics testing, but also image ing as well as other consent. Hable medical information s so far there about 10,000 patients and we've been trying to extract and curate their data accordingly. Again, a za reminder of what the strengths of Leicester are. We have one of the largest and busiest trust with the very large, uh, patient cohort Ah, focused dr at the university, which allows for chronic diseases such as heart disease. I just mentioned our efforts on heart disease, uh which are about 10,000 patients ongoing right now. But we would wish thio include further chronic diseases such as diabetes, respiratory diseases, renal disease and further to understand the multi modality between these diseases so that we can understand how they >>interact as well. Finally, I like to talk about the lesser life science accelerator as well. This is a new project that was funded by >>the U started this January for three years. I'm the director for this and all the groups within the College of Life Sciences that are involved with healthcare but also clinical work are involved. And through this we hope to support innovative industrial partnerships and collaborations in the region, a swells nationally and further on into internationally as well. I realized that today is a talked to um, or business and commercial oriented audience. And we would welcome interest from your companies and partners to come to Leicester toe work with us on, uh, clinical health care data and to drive our agenda forward for this so that we can enable innovative research but also product development in partnership with you moving forward. Thank you for your time.

>> Narrator: From theCUBE studios in Palo Alto in Boston, connecting with top leaders all around the world, this is theCUBE Conversation. >> Hi everybody, I'm Dave Vellante, and welcome to the Vertica Big Data Conference virtual. This is our digital presentation, wall to wall coverage actually, of the Vertica Big Data Conference. And with me is Jeff Healy, who directs product marketing at Vertica. Jeff, good to see you. >> Good to see you, Dave. Thanks for the opportunity to chat. >> You're very welcome Now I'm excited about the products that you guys announced and you're hardcore into product marketing, but we're going to talk about the Vertica Big Data Conference. It's been a while since you guys had this. Obviously, new owner, new company, some changes, but that new company Microfocus has announced that it's investing, I think the number was $70 million into two areas. One was security and the other, of course, was Vertica. So we're really excited to be back at the virtual Big Data Conference. And let's hear it from you, what are your thoughts? >> Yeah, Dave, thanks. And we love having theCUBE at all of these events. We're thrilled to have the next Vertica Big Data Conference. Actually it was a physical event, we're moving it online. We know it's going to be a big hit because we've been doing this for some time particularly with two of the webcast series we have every month. One is under the Hood Webcast Series, which is led by our engineers and the other is what we call a Data Disruptors Webcast Series, which is led by all customers. So we're really confident this is going to be a big hit we've seen the registration spike. We just hit 1,000 and we're planning on having about 1,000 at the physical event. It's growing and growing. We're going to see those big numbers and it's not going to be a one time thing. We're going to keep the conversation going, make sure there's plenty of best practices learning throughout the year. >> We've been at all the big BDCs and the first one's were really in the heart of the Big Data Movement, really exciting time and the interesting thing about this event is it was always sort of customers talking to customers. There wasn't a lot of commercials, an intimate event. Of course I loved it because it was in our hometown. But I think you're trying to carry that theme obviously into the digital sphere. Maybe you can talk about that a little bit. >> Yeah, Dave, absolutely right. Of course, nothing replaces face to face, but everything that you just mentioned that makes it special about the Big Data Conference, and you know, you guys have been there throughout and shown great support in talking to so many customers and leaders and what have you. We're doing the same thing all right. So we had about 40 plus sessions planned for the physical event. We're going to run half of those and we're not going to lose anything though, that's the key point. So what makes the Vertica Big Data Conference really special is that the only presenters that are allowed to present are either engineers, Vertica engineers, or best practices engineers and then customers. Customers that actually use the product. There's no sales or marketing pitches or anything like that. And I'll tell you as far as the customer line up that we have, we've got five or six already lined up as part of those 20 sessions, customers like Uber, customers like the Trade Desk, customers like Phillips talking about predictive maintenance, so list goes on and on. You won't want to miss it if you're on the fence or if you're trying to figure out if you want to register for this event. Best part about it, it's all free, and if you can't attend it live, it will be live Q&A chat on every single one of those sessions, we promise we'll answer every question if we don't get it live, as we always do. They'll all be available on demand. So no reason not to register and attend or watch later. >> Thinking about the content over the years, in the early days of the Big Data Conference, of course Vertica started before the whole Big Data Conference meme really took off and then as it took off, plugged right into it, but back then the discussion was a lot of what do I do with big data, Gartner's three Vs and how do I wrangle it all, and what's the best approach and this stuff is, Hadoop is really complicated. Of course Vertica was an alternative to RDBMS that really couldn't scale or give that type of performance for analytical databases so you had your foot in that door. But now the conversation that's interesting your theme, it's win big with data. Of course, the physical event was at the Encore, which is the new Casino in Boston. But my point is, the conversation is no longer about, how to wrangle all this data, you know how to lower the cost of storing this data, how to make it go faster, and actually make it work. It's really about how to turn data into insights and transform your organizations and quote and quote, win with big data. >> That's right. Yeah, that's great point, Dave. And that's why I mean, we chose the title really, because it's about our customers and what they're able to do with our platform. And it's we know, it's not just one platform, all of the ecosystem, all of our incredible partners. Yeah it's funny when I started with the organization about seven years ago, we were closing lots of deals, and I was following up on case studies and it was like, Okay, why did you choose Vertica? Well, the queries went fast. Okay, so what does that mean for your business? We knew we're kind of in the early adopter stage. And we were disrupting the data warehouse market. Now we're talking to our customers that their volumes are growing, growing and growing. And they really have these analytical use cases again, talk to the value at the entire organization is gaining from it. Like that's the difference between now and a few years ago, just like you were saying, when Vertica disrupted the database market, but also the data warehouse market, you can speak to our customers and they can tell you exactly what's happening, how it's moving the needle or really advancing the entire organization, regardless of the analytical use case, whether it's an internet of things around predictive maintenance, or customer behavior analytics, they can speak confidently of it more than just, hey, our queries went faster. >> You know, I've mentioned before the Micro Focus investment, I want to drill into that a bit because the Vertica brand stands alone. It's a Micro Focus company, but Vertica has its own sort of brand awareness. The reason I've mentioned that is because if you go back to the early days of MPP Database, there was a spate of companies, startups that formed. And many if not all of those got acquired, some lived on with the Codebase, going into the cloud, but generally speaking, many of those brands have gone away Vertica stays. And so my point is that we've seen Vertica have staying power throughout, I think it's a function of the architecture that Stonebraker originally envisioned, you guys were early on the market had a lot of good customer traction, and you've been very responsive to a lot of the trends. Colin Mahony will talk about how you adopted and really embrace cloud, for example, and different data formats. And so you've really been able to participate in a lot of the new emerging waves that have come out to the market. And I would imagine some of that's cultural. I wonder if you could just address that in the context of BDC. >> Oh, yeah, absolutely. You hit on all the key points here, Dave. So a lot of changes in the industry. We're in the hottest industry, the tech industry right now. There's lots of competition. But one of the things we'll say in terms of, Hey, who do you compete with? You compete with these players in the cloud, open source alternatives, traditional enterprise data warehouses. That's true, right. And one of the things we've stayed true within calling is really kind of led the charge for the organization is that we know who we are right. So we're an analytical database platform. And we're constantly just working on that one sole Source Code base, to make sure that we don't provide a bunch of different technologies and databases, and different types of technologies need to stitch together. This platform just has unbelievable universal capabilities from everything from running analytics at scale, to in Database Machine Learning with the different approach to all different types of deployment models that are supported, right. We don't go to our companies and we say, yeah, we take care of all your problems but you have to stitch together all these different types of technologies. It's all based on that core Vertica engine, and we've expanded it to meet all these market needs. So Colin knows and what he believes and what he tells the team what we lead with, is that it lead with that one core platform that can address all these analytical initiatives. So we know who we are, we continue to improve on it, regardless of the pivots and the drastic measures that some of the other competitors have taken. >> You know, I got to ask you, so we're in the middle of this global pandemic with Coronavirus and COVID-19, and things change daily by the hour sometimes by the minute. I mean, every day you get up to something new. So you see a lot of forecasts, you see a lot of probability models, best case worst case likely case even though nobody really knows what that likely case looks like, So there's a lot of analytics going on and a lot of data that people are crunching new data sources come in every day. Are you guys participating directly in that, specifically your customers? Are they using your technology? You can't use a traditional data warehouse for this. It's just you know, too slow to asynchronous, the process is cumbersome. What are you seeing in the customer base as it relates to this crisis? >> Sure, well, I mean naturally, we have a lot of customers that are healthcare technology companies, companies, like Cerner companies like Philips, right, that are kind of leading the charge here. And of course, our whole motto has always been, don't throw away any the data, there's value in that data, you don't have to with Vertica right. So you got petabyte scale types of analytics across many of our customers. Again, just a few years ago, we called the customers a petabyte club. Now a majority of our large enterprise software companies are approaching those petabyte volumes. So it's important to be able to run those analytics at that scale and that volume. The other thing we've been seeing from some of our partners is really putting that analytics to use with visualizations. So one of the customers that's going to be presenting as part of the Vertica Big Data conferences is Domo. Domo has a really nice stout demo around be able to track the Coronavirus the outbreak and how we're getting care and things like that in a visual manner you're seeing more of those. Well, Domo embeds Vertica, right. So that's another customer of ours. So think of Vertica is that embedded analytical engine to support those visualizations so that just anyone in the world can track this. And hopefully as we see over time, cases go down we overcome this. >> Talk a little bit more about that. Because again, the BDC has always been engineers presenting to audiences, you guys have a lot of you just mentioned the demo by Domo, you have a lot of brand names that we've interviewed on theCUBE before, but maybe you could talk a little bit more about some of the customers that are going to be speaking at the virtual event, and what people can expect. >> Sure, yeah, absolutely. So we've got Uber that's presenting just a quick fact around Uber. Really, the analytical data warehouse is all Vertica, right. And it works very closely with Open Source or what have you. Just to quick stat on on Uber, 14 million rides per day, what Uber is able to do is connect the riders with the drivers so that they can determine the appropriate pricing. So Uber is going to be a great session that everyone will want to tune in on that. Others like the Trade Desk, right massive Ad Tech company 10 billion ad auctions daily, it may even be per second or per minute, the amount of scale and analytical volume that they have, that they are running the queries across, it can really only be accomplished with a few platforms in the world and that's Vertica that's another a hot one is with the Trade Desk. Philips is going to be presenting IoT analytical workloads we're seeing more and more of those across not only telematics, which you would expect within automotive, but predictive maintenance that cuts across all the original manufacturers and Philips has got a long history of being able to handle sensor data to be able to apply to those business cases where you can improve customer satisfaction and lower costs related to services. So around their MRI machines and predictive maintenance initiative, again, Vertica is kind of that heartbeat, that analytical platform that's driving those initiatives So list goes on and on. Again, the conversation is going to continue with the Data Disruptors in the Under Hood webcast series. Any customers that weren't able to present and we had a few that just weren't able to do it, they've already signed up for future months. So we're already booked out six months out more and more customer stories you're going to hear from Vertica.com. >> Awesome, and we're going to be sharing some of those on theCUBE as well, the BDC it's always been intimate event, one of my favorites, a lot of substance and I'm sure the online version, the virtual digital version is going to be the same. Jeff Healey, thanks so much for coming on theCUBE and give us a little preview of what we can expect at the Vertica BDC 2020. >> You bet. >> Thank you. >> Yeah, Dave, thanks to you and the whole CUBE team. Appreciate it >> Alright, and thank you for watching everybody. Keep it right here for all the coverage of the virtual Big Data conference 2020. You're watching theCUBE. I'm Dave Vellante, we'll see you soon

(upbeat music) >> Hey, welcome back everybody. Jeff Frick here with theCUBE. We're at our Palo Alto studios today. And obviously, what's top of the news is the coronavirus and COVID-19, and it's having a direct impact on anything where people get together. We're obviously really tied into the convention space. But we're excited to have an expert in the field coming at it from a different kind of point of view, more from the entertainment side. We'd like to welcome, calling in from Tennessee, Lauren Spahn. She is a partner for Shackelford, Bowen, McKinley, or excuse me, but yeah, McKinley & Norton. Lauren, great to see you. >> Hey there, how are ya? >> Jeff Frick: Good. So we were introduced through kind of the process of the South by Southwest cancellation. Before we get into it, tell us a little bit about kind of what you do, what type of clients do you have, who do you guys kind of represent? >> Yeah, sure, so I practice primarily in entertainment law here in Nashville. But I work with a variety of people in the music industry, whether it be artists or music festivals, record labels, publishing companies, you name it, across the US. So I do a lot of work in L.A. and New York as well. And our firm specializes in a little bit of everything, but our national hub is kind of the spearhead for the entertainment and music practice. >> So it's pretty interesting 'cause we're not so directly involved in entertainment, but we do go to a lot of conferences. And, I think, for us, the watershed moment this year was Mobile World Congress earlier this year in February, 100,000 people in Barcelona, Spain. That's a little unique because most of the main vendors are Asian in terms of all the mobile carriers and the handset tech carriers. But, you were saying before we turned the cameras on, that now the South By Southwest event cancellation is kind of sending the same shock waves if you will through the entertainment industry. >> Yeah, I mean South By Southwest obviously is a big coming together of multiple industries. You know, music, film, TV, technology, but it really was one of the first events that were canceled that impacted the music industry. And so, such a large conference to completely cancel, really just started, it was the tip of the iceberg, or I think what we are going to continue to see across the sphere in music whether its tours being canceled or music festivals that are being canceled, everything is kind of starting to ramp up, and were starting to see the effects from South By Southwest line. >> Jeff Frick: Right. So, one of the things that really is just kind of a splash of cold water, is these things are going down it just really highlights the interconnectedness of all these different parts of these events, right? whether it is the primary promoter or the primary bands in the case of South By Southwest or even the tech companies, but then there are tons and tons of secondary, third and other vendors that are involved from food and transportation and the list goes on and on. So, you're quoted quite often in the press about talking about force majeure and that this is something that kind of comes up in contract law when these types of events happen. So, I wonder if you can kind of explain the dictionary definition of force majeure and how do you see it kind of executed traditionally in a contract where maybe one person just can't uphold their part of the deal and how that contrasts with something like this, which is hitting kind of both sides of the agreement, if you will. >> Completely. So, I think it's important to step back and look at if we are going to use a music festival as an example. You have a contract, the music festival itself will have a contract with the artist, but they will also have contracts with their vendors, with the production team that comes in and sets up the staging and the sound and the light. There are a myriad of contracts and so, the language in each contract tends to govern the relationship between the festival and that third party. So, in this situation of let's use an artist, for example. There is different things in the contract that point to how you can cancel and what happens when you cancel. A force majeure is an example of that. And force majeure is something that is outside of the control of both parties. So, again, the festival and the artist. If something like the Coronavirus is coming, neither one of those parties can control that from happening. And so it typically relieves both parties of any obligation to move forward with the contract. What is important, though, is the language that's in that force majeure provision. So, you sometimes will see language like sickness or an epidemic. But then, you may not have that, and you may have language that says, a local or national state of emergency. So, depending upon the state you're in, depending upon the exact situation in the city that you are holding the event, all of those things can be looked or looked to to interpret whether or not the language that's in that force majeure contract will impact you or will give you the rights to cancel that event without having to pay additional money. >> Jeff Frick: Right. >> And so, you know, not only that but you're then seeing it carried out through the insurance policies, as well. So, even if you have force majeure language whether or not the insurance company will help cover the losses for you again depends upon the exact language that's in your insurance policy. >> Jeff Frick: Right. >> So, across the board, it really is a contractual right, that can differ for the different people that are involved. >> Right. But, there's the contractual, the language in the contract, but then there is kind of this random stuff that comes up. And, we hear kind of act of God kind of thrown up by insurance companies when it's something they haven't defined in all the fine language. And then, the other piece that we're hearing about a lot in the news here on Palo Alto, right is the specific descriptive terms used by the authorities. Is it a pandemic? Is it an outbreak? Is it a natural disaster? Is it a state of emergency called by the government? >> Or other. So, how does that figure in on something like we're experiencing? I don't know that we've seen anything quite like this before. >> You know, I was looking back through some contracts earlier this morning because I had a potential cancellation that was going to happen, and I mean some contracts go as far as to even describe the Swine Flu and similar things like that but we really are looking to the authorities to see what decision they are making on everything. And whether or not they are calling it a local state of emergency because a lot of times that exact definition or that exact cause is defined in the agreement . But, yeah, I mean really it comes down to small print wording in this situation, if you are looking at the contract itself to see what rights that you have. What I found is that people aren't going to the nitty gritty of at least the contracts, you're probably going to get into the nitty gritty of the insurance policy, if you have a chance of getting any kind of protection. But, at the end of the day, the artist doesn't want to go play a festival that could potentially cause their fans to have some outbreak of the Coronavirus. An event doesn't want to be liable for holding an event that could be connected with that, as well, because across the board, that creates a PR nightmare for whoever's making that decision. So, you're seeing people that are trying to work together to figure out exactly how we're going to handle things, and what we're going to do moving forward, because no one is going to win in this situation. >> [Jeff Frick} Right. Right. >> It's really just figuring out a way that we can all be in the best position possible across the board. >> Yeah. And I think that's what we're kind of seeing a lot too, where, you know, I think everyone is again instead of just one party that's not upholding their part of the deal and the other party getting screwed on that, this is really, you know, we're kind of in it together, this has kind of come down on both of our houses so how do we work together to minimize the pain and at least, kind of get through this window that we assume will pass at some point or at least the current heightened state will go. But, I just wonder if you have an opinion on, from a legal point of view, and it's not your space, so if you say no that's an okay answer, but, you know, if you look at kind of market forces is determining what is the appropriate action, right? Because we don't really know what's the right action. But, clearly, the market is defined based on activity and the University of Washington shutting down and Stanford shutting down >> Vanderbilt >> Almost is a self-imposed kind of semi-quarantine state, which is just, you know the latest now I think they get the local high school basketball game is they can only have 100 people in the stands in the biggest building they can find and everybody needs to spread out. So, it's just been very interesting to see you know kind of what is the appropriate response. What's the right response? Because ultimately it seems like it's driven by nobody wants to be the one that didn't take the max precautions and something bad happens. >> To be honest, I don't think that anyone really knows. You know, it really is the conversations right now are not the artist's agent calling the festival and saying we're absolutely not doing this The conversation is more so, hey what are you guys seeing? What are you guys thinking? What's the best way to handle this? You know, no one wants to put the consumers and the fans at risk. And, you know, until we have a better handle on exactly how we handle this type of situation, it's really going to be people doing their best to try to not create a situation that's going to, you know, cause some kind of massive outbreak. >> Right. Right. >> If you look at, you know, something like South By, no one wants to cancel, you know. It really impacts, not only the company and the event itself, but really everyone that's associated to it, has a financial hardship because of that decision, but the decision isn't made because someone wants to do it, it's made because collectively, you know, people are feeling like it needs to be done in order to keep people safe. >> Right. >> And if they didn't think that, they'd probably go ahead and try to hold the event and, you know, risk the liability. But, I think people truly want what's in the best interest of everyone. And that's why they are working together to try to figure this out. >> Yeah. Yeah. It really is driven home what social creatures we are when you start to kind of disconnecting crowds and groups of people from so many events and it just continues to ripple through whether it's our business, a convention business, the entertainment business, you know March Madness is coming up here in a very short order. What's going to happen there all the way down to you know, the local talent show for the local middle schoolers that they used to have before graduation, which is now canceled. So, it's interesting times. >> And I think for us, the biggest indicator in terms of just music festivals is going to be what happens with Coachella. And, you know, Billboard and Variety have reported that they're looking to potentially reschedule the event to October, if artists are able. And if not, they're going to have to completely cancel it for this year. And, you know, Coachella is such a massive festival that attracts people from all over the world. And if Coachella is canceled then I think there is a good chance that so long as this is continuing at the speed it is, that we're going to see a lot more music festivals canceled. >> When is Coachella scheduled? >> It starts in about a month. >> In about a month. >> So it's the second weekend in April, but they have to start production and really building out the grounds now. >> Wow. Wow. >> And so the decision kind of has to be made before then. And then, I wouldn't be surprised if we see a decision there in the next few days. >> Yeah. I think I would take the short if I was in Vegas, because there's just not enough data, I don't think, to go forward based on the current situation. I'm glad I'm not the one sitting in that chair. >> Yeah. It'd be a tough position. >> All right, well Lauren, well thank you for sharing your insight and, you know, it's great to get the perspective of another you know kind of industry that's all built around bring people together. And, I think we probably both would agree that this time will pass and we'll get a vaccine out, we'll get the growth curves to start to flatten out and go down which is where they need to go. And then you know I think it will be a different time, but hopefully things will get approximate a little bit more to normal in the not too distant future. >> Yeah, fingers crossed. I hope it gets figured out sooner rather than later and we can all have our summers full of conferences and festivals and the gathering of people. >> Yep. All right Lauren. Well thanks again for your time >> Thank you >> And have a great Tuesday. >> Awesome. You too. >> Alrighty. She's Lauren. I'm Jeff. Thanks for checking in on this Cube Conversation. We'll catch you next time. (upbeat music)

>> Live from Washington D.C., it's theCUBE. Covering AWS Public Sector Summit 2018. Brought to you by Amazon Web Services and its ecosystem partners. (upbeat music) >> Hey welcome back everyone we're here live in Washington D.C. for Amazon Web Services Public Sector Summit, I'm John Furrier. Stu Miniman our next guest is Dr. Swaine Chen, Senior Research Scientist of Infectious Disease, the Genome institute of Singapore. And also an assistant professor at The Medicinal National University of Singapore. Great to have you on, I know you've been super busy, you were on stage yesterday, we tried to get you on today, thanks for coming in and kind of bring it in to our two days of coverage here. >> Thank you for having me, I'm very excited to be here. >> So we were in between breaks here and we're talking about some of the work around DNA sequencing but, you know it's super fascinating. I know you've done some work there but, I want to talk first about your presence here at the Public Sector Summit. You were on stage, tell your story 'cause you have an very interesting presentation around some of the cool things you're doing in the cloud, take a minute to explain. >> That's right, so one of the big things that's happening in genomics is the rate of data acquisition is outstripping Moore's Law right? So for a single institute to try to keep up with compute for that, we really can't do it. So that really is the big driver for us to move to cloud, and why we're on AWS. And so then, of course once we can do that once we can sort of have this capacity, there's lots of things that my research is mostly on infection diseases, so one of the things where really you've got, all of a sudden, you've got a huge amount of data you need to process would be a case like an outbreak. And that just happens it happens unexpectedly. So we had one of these that happened that I talked about. And the keynote yesterday was on Group B Streptococcus. This is a totally unexpected disease. And so all of a sudden we had all this data we had to process, and try to figure out what was going on with that outbreak. And unfortunately we're pretty sure that there's going to be other outbreaks coming up in the future as well, and just, being able to be prepared for that. AWS helps us provide some of that capacity, and we're you know, continuously trying to upgrade our analytics for that as well. >> So give me an example of kind of where this kind of hits home for you, where it works. What is doing specifically? Is it changing the timeframe? Is it changing the analysis? Where is the impact for you? >> Yeah so it's all of this right? So it's all the sort of standard things that AWS is providing all of the other companies. So it's cheaper for us to just pay for what we use, especially when we have super spiky work loads. Like in the case of an outbreak right? If all of a sudden we need to sort of take over the cluster internally, well there's going to be a lot of people screaming about that, right? So we can kick that out to the cloud, just pay for what we use, we don't have to sort of requisition all the hardware to do that, so it really helps us along these things. And also gives us the capacity too think about you know as data just comes in more and more, we start to think about, lets just increase our scale. This is somethings that been happening, sort of incessantly in science, incessantly in genomics. So as just an example from my work and my lab we're studying infectious diseases we're studying mostly bacterial genomics. So the genomes of bacteria that cause infections. We've increased our scale 100x in the last four years in terms of the data sets that we're processing. And we see the samples coming in, we're going to do another 10x in the next two years. We just really wouldn't have been able to do that on our current hardware. >> Yeah, Dr. Chen, fascinating space. We love for years there was discussion of well oh how much it costs, to be able to do everything had gone down. But what has been fascinating is you've look, you've talked about that date and outstripping Moore's Law, and not only what you can do but in collaboration with others now, because there's many others around the globe that are doing this. 'Cause talk about that level of data, and how the cloud enables that. >> Yeah so that's actually another great point. So genomics is very strong into open source, especially in the academic community. Whenever we publish a paper, all the genomic data that's in that paper, it gets, uh oh (laughs). Whenever we, whenever we publish-- >> Mall's closing in three minutes. >> Three minutes cloud count. >> Three minutes, okay. Whenever we publish a paper, that data goes up and gets submitted to these public databases. So when I talk about 100x scale, that's really incorporating world wide globally all the data that's present for that species. So as an example, I talked about Group B Streptococcus, another bacteria we study a lot is E. coli, Escherichia coli. So that causes diarrhea, it causes urinary tract infections, bloodstream infections. When we pull down a data set locally, in Singapore, with 100, 200, 300 strains we can now integrate that with a global database of 10,000, 20,000 strains and just gain a global prospective on that. We get higher resolution, and really AWS helps us to pull in from these public databases, and gives the scale to burst out that processing of that many more strains. >> So the DNA piece of your work, does that tie into this at all? I mean obviously you've done a lot of work with the DNA side, was that playing into this as well? >> The? >> The DNA work, you've done in the past? >> Yeah so all of the stuff that we're doing is DNA, basically. So there are other frontiers, that have been explored quite a lot. So looking at RNA and looking at proteins and carbohydrates and lipids, but at the Genome Institute in Singapore, we're very focused on the genetics, and mostly are doing DNA. >> How has the culture changed from academic communities with cloud computing. We're seeing sharing, certainly a key part of data sharing. Can you talk about that dynamic, and what's different now than it was say five to even 10 years ago? >> Huh, I'd say that the academic community has always been pretty open, the academic community right? It's always been a very strong open source compatible kind of community right? So data was always supposed to be submitted to public databases. Didn't always happen, but I think as the data scale goes up and we see the value of the sort of having a global perspective on infectious diseases and looking for the source of an outbreak, the imperative to share data right? That looking at outbreaks like Ebola, where in the past people might try to hold data back because they wanted to publish that. But from a public health point of view, the imperative to share that data immediately is much stronger now that we see the value of having that out there. So I would say that's one of the biggest changes is the imperative is there more. >> I agree I think academic people I talk to, they always want to share, it might be not uploaded fast enough. So time is key. But I got to ask you a personal question, of all the work you've done on, you've seen a lot of outbreaks. This is kind of like scary stuff. Have you had those aha moments, just like mind blowing moments where you go, oh my God we did that because of the cloud? I mean an you point to some examples where it's like that is awesome, that's great stuff. >> Well so we certainly have quite a few examples. I mean outbreaks are just unexpected. Figuring out any of them and being able to impact, or sort of say this is how this transmission is, or this is what the source is. This is how we should try to control this outbreak. I mean all of those are great stories. I would say that , you know, to be honest were still early in our transition to the cloud, and we're kind of running a hybrid environment right now. Like really when we need to burst out, then we'll do that with the cloud. But most of our examples, so far, you know we're still early in this for cloud. >> To the spiky is the key value for you, when the hits pipe out. >> So what excited you about the future of the technology that, do you believe we'll be able to do as we just accelerate, prices go down, access to more information, access to more. What do you think we're going to see in this field the next, you know, one to three years? >> Oh I think on of the biggest changes that's going to happen, is we're going to shift completely how we do, for example in outbreaks right? We're going to shift completely how we do outbreak detection. It's already happening in the U.S. and Europe. We're trying to implement this in Singapore as well. Basically the way we detect outbreaks right now, is we see a rise in the number of cases, you see it at the hospitals, you see a cluster of cases of people getting sick. And what defines a cluster? You kind of need enough of these cases that it sort of statistically goes above your base line. But we actually, when we look at genomic data we can tell, we can find clusters of outbreaks that are buried in the baseline. Because we just have higher resolution. We can see the same bacteria causing infections in groups of people. It might be a small outbreak, it might be self limited. But we can see this stuff happening, and it's buried below the baseline. So this is really what's going to happen, is instead of waiting until, a bunch of people get sick before you know that there's an outbreak. We're going to see that in the baseline or as it's coming up with two, three, five cases. We can save hundreds of infections. And that's one of the things that's super exciting about moving towards the future where sequencing is just going to be a lot cheaper. Sequencing will be faster. Yeah it's a super exciting time. >> And more researching is a flywheel. More researching come over the top. >> Yep, exactly, exactly. >> That's great work, Dr. Swaine Chen, thanks for coming on theCUBE. We really appreciate-- >> No thank you. >> Congratulations, great talk on the keynote yesterday, really appreciate it. This is theCUBE bringing you all the action here as we close down our reporting. They're going to shut us down. theCUBE will go on until they pull the plug, literally. Thanks for watching, I'm John Ferrier, Stu Miniman, and Dave Vellante. Amazons Web Services Public Sector Summit, thanks for watching. (upbeat techno music)

>> Announcer: Live from Orlando, Florida. It's theCube covering PentahoWorld 2017, brought to you buy Hitachi Ventara. >> Welcome back to theCube's live coverage of PentahoWorld, brought to you of course by Hitachi Ventara. I'm your host, Rebecca Knight, along with my cohost James Kobielus. We are joined by Stephano Celati. He is a Pentaho Solutions consultant at BNova. Thanks so much for coming on theCube, Stephano. >> Thank you for having me. >> So I should say congratulations are in order because you are here to accept the Pentaho Excellence Award for the ROI category on behalf of LAZIOcrea. Tell us about the award. >> Yes, as I was saying, I'm really proud of this award because it is something that is related to public administration savings, which is a good thing, first of all for me as a citizen, let's say. This project is about healthcare spending. In Italy the National Healthcare Services allows the drugstore to sell medicines to total or partial reimbursement by NHS itself. And they also have the possibility to replace the medicine with a generic drug which normally costs less to the people and also to the health service itself. So a couple of years ago (speaks in foreign language) which is the political area to which Rome belongs just to explain, launched a new project to monitor, analyze and inspect the spending flow in drugs. So we partnered with LAZIOcrea to create a business analytics platform based on Pentaho obviously, and which collects all the data coming from the prescriptions and store it in an analytical database that is Vertica, and uses PDI/ETL tools to store this data. >> That's for Pentaho Data Integration. >> Yes, PDI is Pentaho Data Integration, good point. And after that we present the data in terms of reporting, analysis, dashboards, to all the people that are interested in this data. So we talk about regional managers, we talk about auditors, and also to local district users which are in charge of managing the expenditure for drugs. The outcome of this project was real impressive because we had an expenditure fell by 3.6%, which in a region where we have more than 200 million prescriptions every year means 34 million Euros in a years. >> Rebecca: Wow. >> So it was really huge result. We were very happy about that. And it was so simple because simply monitoring better the expenditure, monitoring how they deliver the drugs out, what kind of medicine they prescribe and targeting what pharmacies sell to the end user just gave these impressive results. And this year they are forecasting for 41 million Euros in savings more, so it's a huge result. It's something that is for us really a good result. >> So here in the U.S., I mean we have problems very similar to what you just described in Italy. And just putting the transparency around the data would be a huge revelation for the United States, too. How big a departure was it in Italy? >> Well, it was a really a big problem to start because they didn't have any system to collect all this data. So they had to set up everything from scratch, let's say, just by acquiring the paper where the physician writes the recipe, so it was not that easy to build it from scratch. But after that the region has had the opportunity to monitor this data and also to publish this data, which is something that in Italy is really relevant in this moment because we are talking about open government, we are talking about open data, and so again, the result was really impressive. >> Do you see any follow on opportunities to use this data for other purposes other than the initial application? >> Yes, we already experienced a different usage of this data because during the last major earthquake we have in 2016 in this area, those guys from LAZIOcrea were able to produce a list of mostly the drugs in that area just in a couple of hours, just by using the ETL and setting up this list that somehow help the first aid units in giving the right assistance on time. And next steps will be about hyper prescriptions because we want to monitor if there are any doctors that prescribe drugs that are not really necessary. And we also try to move our inspection also to hospitals because when you do a surgery, you get medicine, you get a lot of assistance in the hospital. So we want also to monitor that kind of the aspect, which is again in charge of the health system. >> To make sure that the right medicines are being distributed to the right regions at the right time for the intent to likely-- >> Yes, this could also lead to something that is a correlation analysis, meaning what is your pain and what are you assuming so that they can have an historical data they can use to prescribe better medicines. >> But the anecdote he was sharing about the earthquake too is really compelling too, if you think about a public health crisis and outbreak of some sort, to be able to get drugs quickly to those in needs, it's really astonishing. >> Again, this morning we were talking about data lake. This is a sort of data lake. We found several ways to use that data, to fish them back from the data, let's say from the lake, and it's really impressive what you can do if you have the right information and you know how to use it. >> How do you see the market developing over the next year, next five years? >> Yes, the problem in Italy is that the market is not so responsive to innovation like others, let's say U.S. or U.K. and Europe. So for this reason my company Bnova set up annual event which is called Big Data Tech, and the purpose of this event is to spread knowledge about big data systems, products, architecture and so on, which helps companies in knowing better what they can do with these platforms. So in the next month we see a lot of opportunities. Generically speaking data mining field, we start talking about predictive analysis, we start talking about smart cities and other stuff like that. So again, we will need maybe to enter in a new phase of let's say (mumbling) because companies like BNova and others that operate in this field of business analytics need to put to general knowledge what other innovative companies are doing. So in the next month we will for sure move to newer architectures, new technology, and we will have to support all the companies with this kind of stuff. >> In terms of the new technology you're moving to, is there a role for the internet of things, both in your plans and really in terms of the Italian market. What sort of potential applications are there for IOT related perhaps to the use of it with health data going forward in Italy? >> Yes, also for healthcare, but in Italy the IOT team is a parallel line that is growing thanks to a governmental initiative which is called Industry 4.0, which encourages the usag of interconnected machines, connected to the internet, so classical approach of the IOT field. So with this new approach and the government sustain we believe that the IOT will have a big improvement in the next years. Again, we are talking about Italy, so we are not so fast in growing. But again, we are starting to talk about smart cities for energy saving, sustainable energy and other stuff in which the IOT plays a key role. So as far as our business is concerned, that is business analytics, so on top of that we see a lot of opportunities coming from predictive analysis, which means to prevent the maintenance of a machine, for example, or to use virtual reality to simulate a laboratory test and other stuff. So with these opportunities for sure the usage of data mining tools, such Wake Up when we're talking about Pentaho Solutions, could be a great advantage because you will apply the knowledge to your data. So you will not only analyze the data, but you will also extract some sort of knowledge from the data which can help companies. >> Of course, Italy is where the renaissance began, and it just sounds like you, I mean renaissance use of analytics to help the Italian people and the Italian economy to continue to grow and innovate. >> Stephano: Yes, yes. >> So I want to see not a data lake, a data colosseum, that should be on your to do list. >> I want a data gallery with lots of data masterpieces hanging on the walls all around Italy. >> Exactly. >> You'll be the new Leonardo and Michelangelo. >> Stefano , I love it. Well, thank you so much for coming on theCube. >> Thank you for having me. >> I am Rebecca Knight for Jim Kubielus. We will have more from PentahoWorld just after this.