>>Live from Las Vegas. It's the cube covering splunk.com 19 brought to you by Splunk. >>Hey, welcome back. Everyone's the cubes coverage here in Las Vegas for Splunk's dot com I'm John, the host of the cube. This is Splunk's 10th year user conference is the cube seventh year. We've been riding on the same wave with Splunk over the years and just watching the phenomenal growth and changes at the level of data at scale we've been covering. We can remember I said from day one data at the center of this, not just log files is now gone. Beyond that, we're here with Carrie Pailin, the CMO, chief marketing officer for Splunk. Welcome to the cube. Thanks for coming on. Thank you so much. It's great to be here. The folks that know us know about spunk. Notice the color changes in the background, the popping kink, burning yellow, orange underneath, new branding. You're new to Splunk story, career in technology. Um, this is exciting. And then portfolio, there's all the news is a phenomenal good news flow. >>Very relevant, right on Mark. Data is now creating value and datas like software. It's enabling value. Splunk software and solution platform has done that and this new new grounds to take. But you're now setting the agenda for the brand and the company tell us, I mean, it's a marketer's dream. What can I say? It's a, you know, I joined nine months ago and when I was interviewing for the role, I remember Doug Merritt saying to me, Hey, you know, we might be the only $2 billion enterprise software company that nobody's ever heard of. Amy said, I want to go solve for that. Right? Like the folks who know Splunk and our customers, they love us, our product is awesome and our culture is awesome, but the world doesn't know about us yet and we haven't invested there. So I want to go take the brand to the next level. >>And I want the world to understand what data use cases are out there that are so broad and so vast. And we believe that every problem ultimately can be solved through data or almost every problem. And we wanted to set the stage for that with this new brand campaign. Yeah. Just on a personal note. And following the journey of Splunk, a scrappy startup goes public and growth modes. When you're a growth Moe is hard to kind of lay down foundational things like branding and whatnot. But now sponsor leader, we did a poll within our community and for cloud and on premise security, Splunk's the number one supplier for just laws with workloads. And then now cloud security is kicking in. So the relationship to Amazon, Google cloud platform and Azure is a critical part of Splunk is now the leader. So leaders have to do things like make sure that their brand's good. >>This is what you're doing. Take us behind the scenes of the branding, the things you chose and data for everything. Yeah. D the little small nuance data to everything. Um, and the reason behind that was we believe you can bring and we can enable our customers to bring data to every question, every decision and every action to create meaningful outcomes. And the use cases are vast and enormous. We talked about some of them before the show started, but helping look at global law enforcement, get ahead of human trafficking through SPOHNC and spelunking. What's going on across all sorts of data sources, right? Helping zone Haven, which is our first investment from Splunk ventures, which startup that's actually helping firefighters figure out burn burn patterns with fire wildfires. But also when temperatures and humidity change where sensors are, they can alert firefighters 30 to 45 minutes earlier than they would usually do that. >>And then they can also help influence evacuation patterns. I mean it's, it's remarkable what folks are doing with data today and it's really at the, at the core of solving some of the world's biggest issues. It's hard to tell a story for a company that solves some of the use cases. Yes. Because depending on who you talk to, that's the company. This is what we should be telling them. I know you do this over here, so when you're horizontally creating this kind of value, yeah, it's hard to kind of brand that because it will get a lot of opinions because you're doing a lot of different things. There's not like one vertical. That's right. So this is the challenge that most B to B marketers will fall on the trip. We do this because we have a lot of customers in this one segment. But yes, you guys are hitting so much more. >>How did you deal with that? Ha, we had a lot of talks about it, a lot of discussions, a lot of debate and I love diversity of thought. It usually drives the right outcomes, but we had a lot of this, this is not an easy answer. If it had been, it would have been done years ago and we really talked about setting the stage for where, you know, I love the Wayne Gretzky quote about skate to where the puck is going and that's what he always did and that's why he was so good. We believe there will ultimately be a data platform of platforms and we believe Splunk is that platform, right? And so that's where the industry's going. We wanted to cast a net that would take us there so that this is the beginning of a brand evolution for us and not a total rebrand, but it's setting the stage for a category creation that we believe is coming in the industry. >>A few. You guys are smart and I think my observation would be looking at some of our 10 years of reporting and sharing some on digital is that all the conversations around data is impacting the real world. Yes. You see Mark Zuckerberg and on Capitol Hill having the answer to the date of debacles, he has cybersecurity attacks, national security, um, ransomware taking down cities and towns. This is a real impact. Forest fires disrupting rolling blackouts. So technology's impacting real world lives. That's right. This is really new to tech. I mean usually behind the scenes, you know, coding, but not anymore. We're the front lines of real societal, global. Yes. Jade is at the forefront and it's really exciting. It's also frightening, right? Because we believe data presents the greatest opportunity for humanity, but also some of the greatest threats. And so hence our ability to really dig in on data security. >>It's important to do that while we're actually also surfacing data to solve real world issues. You've been in the industry for a while and when you came to Splunk, boasts a couple of things that surprised you as you, you had some thoughts going in, you knew Splunk. Yes. What are some of the things that surprised you when you got here? Oh, I mean, in such a good way. A few things, you know. Well, here's the story. Three days into being at Splunk, my dad got very ill and I wasted him to Austin for heart surgery and he actually didn't make it. Um, and so it's been a rough year to say the least. And uh, the way that Splunk's culture, I knew about it before I came, but the way that this company treated me, like I had been here 10 years, uh, when I'd really only been an employee three days was something I'll never forget. >>And it's, it's special. Um, and so I believe that companies are successful if they are smart and healthy and in Splunk has the healthy and droves and not just the compassion and the empathy, but you know, a very transparent culture. We debate things, we talk about things, we support each other. We are accountable. And I believe that's a big part of why we've grown so fast because our culture is incredibly healthy and very, um, collaborative as a team. I'm sorry for your loss. Thank you. Um, you mentioned the culture is a big part of Splunk. Yes. In talking to some of the folks that spoke over the years, there's no, I will, I'll totally say this. There's no shortage of opinions, so have not volunteered. These are robustness. Yes. Diversity of thoughts, very actionable communities. How do you, um, how do you look at that? Because that's a, could be a force, a force multiplier. >>Yes. For the brand. How are you going to tie in to everything with the community? How are you going to harness that energy? Yeah. So it's coming and the reality is data to everything is actually a set up to tell the stories of everyone who is using data today. And so the community is going to be one of the first places we go to surface. Some of those amazing stories. Um, and some of the things you see here at the show are actually showcasing that in the keynote today we heard from zone Haman and Porsche and so many others around their use cases. But the community is where it all begins and that's the lifeblood of our sort of spunkiness and a something that we don't take for granted once. One second. Sorry about the Barack Obama. Yeah. Directions with him and his interest in Splunk. Yeah. So we had our big re rebrand a reveal last month we had an event and it was for C suite type of folks. >>That was a very intimate event and we wanted somebody to keynote that and headline that that really brought to life the whole notion that you can bring data to everything. And president Obama was the first POTUS that actually use data in his campaign strategy. He's very open about that. He's the first president to appoint a chief data scientist to the white house. He's actually exceptionally geeky and very data-driven. And so when we asked him to come and headline this, he actually was really excited about it. Um, and you know, in, in great fashion, his communications team was really strict on curating the questions that we had for him. And he was so cute. He showed up to the event and he said, look, um, I'm so thrilled to be here. I love what you guys are doing and you can ask me anything. It's just like ready to go. >>And he was so wonderful and teed up this, this notion of day bringing data to everything so brilliantly. He's kicking, dig and be ad live all the time. He's very colorful as well as personality. Yes. He's kind of nerdy and you know, he was very open and OpenGov too. One of the things that I remember and when big data really started rolling into the scene around 2009, 2010 yes. You saw that opening up data registries from cities and towns and actually created innovation from health care medical supplies? Yes. Yes. So this has been a big part of it. Huge. You guys are doing some things out here and I see the exhibits we're using the day you're doing demos. How do you see you guys helping society with that? Because if you get to the next level, you've got some great use cases. Yes, the public sector is a big part of some news here. >>Fed ramp is one little technicality, but you got some certification, but government's modernizing now. So you know post Obama, you're seeing modernization of procurement roll with cloud, certainly cyber security. Amazon with the CIA, department of defense, role of data in the military and public sector. Yes, education. This is going to be a disruptive enabler for faults on the public impact. I mean, look, there's, you know, Doug touched on this a little bit this morning, the reality in our press conference, but the reality is if you do it right, opening up datasets to communities of people that can do better together and you can get this collective momentum going. For instance, in healthcare, I mean I'm a little bit of a health care nerd and I don't know if you've watched the PBS special on the Mayo clinic, it's spectacular. But one of the reasons the Mayo has been amazing for years is because their doctors all work off the same systems in every discipline in that facility and they can learn more holistically about a patient. >>And I think about the impact that data could have if we could open up those data sets across every health provider for one person or the same illness with every major institution across the U S collaborating and sharing and what we could actually do to make real impact and strides against some of the diseases that are really crippling society today. So I think that the good that we can do with data, if we open up those data sets and do it in a way that, that it's safe. It's remarkable the progress we can make. You know, one of the from machine learning has been a big success story. Machine learning toolkit. Customers are raving about it. Opening up the data creates better machine learning. AI creates better business value. That's right. That's that part of how you guys see things rolling out. Sure. I mean, as a marketer we use AI today and it's really more machine learning. >>It's sad pattern recognition. But we use, uh, you know, my last stand as a CMO, the last company I was at, we use an AI bot to augment our sales headcount for following up on leads. And it looked like a human being. I mean, same thing for Splunk. I mean, the more we can see pattern recognition, proffer up insights, the better off we are to help out our customers. And so Tim Teles team is driving that hard and fast into our innovation curve with everything that we do. Innovation culture, big time here, right? Huge, huge and one of the reasons I came to Splunk is when I interviewed with Tim and I said, Hey, how are you doing on recruiting engineers in the Valley? We all know that that is liquid gold, and he said that he had hired 370 odd engineers in less than a year and from really big brands like Airbnb and I thought, all right, there's some really cool innovation going on here. >>If some of the best engineers in the Valley really want to come work here and they want to work for a great leader, and Tim and his team are that. so.com is 10 years now this year has been riding the wave together. It's been fun. Your first, my very first dotcom. Yes. Your thoughts on this, on this community, this event. Share your, your thoughts. I mean I'm blown away and this is a team sport. I'm so proud of the events team, the creative team, the sales teams, everybody who's come together to make this event so spectacular. It's just sort of mind numbing that a company of our size can put on such an experience for our user community, but I'm also thrilled with the engagement. We have over 300 sessions this week and most of them are user and customer use, case driven and the stories they are telling are magnificent. >>They're doing this all with Splunk, so it's pretty special. And the ecosystem and the app showcase is pretty hot here. You're seeing real applications, people writing code on top of Splunk? Yes, it's, it's, I'm sorry I don't use this word often. I'm 48 but it's rad. It's so cool. Yes. Harry, thanks so much for coming on the cube and sharing your insights. Absolutely. Final thoughts for the people who aren't here at the event, watching on camera, what, how would you encapsulate.com this year? What's the top story that needs to be told? I mean, look, the reality is that we are bringing data to way more than just security and it ops, which has been our core use cases forever, and they will continue to be, but folks are that are not incredibly data literate or through Splunk bringing data to everything and solving some big gnarly issues in the world. And it's pretty exciting stuff. So check us out. All right. Thanks. Gnarly red. Cool. I need a surf board, Jerry. Thanks for coming on Friday. Thank you so much. Coverage here@thetenth.com I'm Jennifer with the cube, bringing you all the action here in Las Vegas. Three days of cubed wall to wall coverage. We've got one more after this short break.

>>Mhm Hello and welcome to the cubes coverage of AWS amazon web services, Global public Sector partner awards program. I'm john for your host of the cube here we're gonna talk about the best covid solution to great guests. Benham or with healthcare and life sciences lead at palantir Ben welcome to the cube SAm Michaels, Director of automation and compound management and Cats. National Center for advancing translational sciences and Cats. Part of the NIH National sort of health Gentlemen, thank you for coming on and and congratulations on the best covid solution. >>Thank you so much john >>so I gotta, I gotta ask you the best solution is when can I get the vaccine? How fast how long it's gonna last but I really appreciate you guys coming on. I >>hope you're vaccinated. I would say john that's outside of our hands. I would say if you've not got vaccinated, go get vaccinated right now, have someone stab you in the arm, you know, do not wait and and go for it. That's not on us. But you got that >>opportunity that we have that done. I got to get on a plane and all kinds of hoops to jump through. We need a better solution anyway. You guys have a great technical so I wanna I wanna dig in all seriousness aside getting inside. Um you guys have put together a killer solution that really requires a lot of data can let's step back and and talk about first. What was the solution that won the award? You guys have a quick second set the table for what we're talking about. Then we'll start with you. >>So the national covered cohort collaborative is a secure data enclave putting together the HR records from more than 60 different academic medical centers across the country and they're making it available to researchers to, you know, ask many and varied questions to try and understand this disease better. >>See and take us through the challenges here. What was going on? What was the hard problem? I'll see everyone had a situation with Covid where people broke through and cloud as he drove it amazon is part of the awards, but you guys are solving something. What was the problem statement that you guys are going after? What happened? >>I I think the problem statement is essentially that, you know, the nation has the electronic health records, but it's very fragmented, right. You know, it's been is highlighted is there's there's multiple systems around the country, you know, thousands of folks that have E H. R. S. But there is no way from a research perspective to actually have access in any unified location. And so really what we were looking for is how can we essentially provide a centralized location to study electronic health records. But in a Federated sense because we recognize that the data exist in other locations and so we had to figure out for a vast quantity of data, how can we get data from those 60 sites, 60 plus that Ben is referencing from their respective locations and then into one central repository, but also in a common format. Because that's another huge aspect of the technical challenge was there's multiple formats for electronic health records, there's different standards, there's different versions. And how do you actually have all of this data harmonised into something which is usable again for research? >>Just so many things that are jumping in my head right now, I want to unpack one at the time Covid hit the scramble and the imperative for getting answers quickly was huge. So it's a data problem at a massive scale public health impact. Again, we were talking before we came on camera, public health records are dirty, they're not clean. A lot of things are weird. I mean, just just massive amount of weird problems. How did you guys pull together take me through how this gets done? What what happened? Take us through the the steps He just got together and said, let's do this. How does it all happen? >>Yeah, it's a great and so john, I would say so. Part of this started actually several years ago. I explain this when people talk about in three C is that and Cats has actually established what we like to call, We support a program which is called the Clinical translation Science Award program is the largest single grant program in all of NIH. And it constitutes the bulk of the Cats budget. So this is extra metal grants which goes all over the country. And we wanted this group to essentially have a common research environment. So we try to create what we call the secure scientific collaborative platforms. Another example of this is when we call the rare disease clinical research network, which again is a consortium of 20 different sites around the nation. And so really we started working this several years ago that if we want to Build an environment that's collaborative for researchers around the country around the world, the natural place to do that is really with a cloud first strategy and we recognize this as and cats were about 600 people now. But if you look at the size of our actual research community with our grantees were in the thousands. And so from the perspective that we took several years ago was we have to really take a step back. And if we want to have a comprehensive and cohesive package or solution to treat this is really a mid sized business, you know, and so that means we have to treat this as a cloud based enterprise. And so in cats several years ago had really gone on this strategy to bring in different commercial partners, of which one of them is Palin tear. It actually started with our intramural research program and obviously very heavy cloud use with AWS. We use your we use google workspace, essentially use different cloud tools to enable our collaborative researchers. The next step is we also had a project. If we want to have an environment, we have to have access. And this is something that we took early steps on years prior that there is no good building environment if people can't get in the front door. So we invested heavily and create an application which we call our Federated authentication system. We call it unified and cats off. So we call it, you know, for short and and this is the open source in house project that we built it and cats. And we wanted to actually use this for all sorts of implementation, acting as the front door to this collaborative environment being one of them. And then also by by really this this this interest in electronic health records that had existed prior to the Covid pandemic. And so we've done some prior work via mixture of internal investments in grants with collaborative partners to really look at what it would take to harmonize this data at scale. And so like you mentioned, Covid hit it. Hit really hard. Everyone was scrambling for answers. And I think we had a bit of these pieces um, in play. And then that's I think when we turned to ban and the team at volunteer and we said we have these components, we have these pieces what we really need. Something independent that we can stand up quickly to really address some of these problems. One of the biggest one being that data ingestion and the harmonization step. And so I can let Ben really speak to that one. >>Yeah. Ben Library because you're solving a lot of collaboration problems, not just the technical problem but ingestion and harmonization ingestion. Most people can understand is that the data warehousing or in the database know that what that means? Take us through harmonization because not to put a little bit of shade on this, but most people think about, you know, these kinds of research or non profits as a slow moving, you know, standing stuff up sandwich saying it takes time you break it down. By the time you you didn't think things are over. This was agile. So take us through what made it an agile because that's not normal. I mean that's not what you see normally. It's like, hey we'll see you next year. We stand that up. Yeah. At the data center. >>Yeah, I mean so as as Sam described this sort of the question of data on interoperability is a really essential problem for working with this kind of data. And I think, you know, we have data coming from more than 60 different sites and one of the reasons were able to move quickly was because rather than saying oh well you have to provide the data in a certain format, a certain standard. Um and three C. was able to say actually just give us the data how you have it in whatever format is easiest for you and we will take care of that process of actually transforming it into a single standard data model, converting all of the medical vocabularies, doing all of the data quality assessment that's needed to ensure that data is actually ready for research and that was very much a collaborative endeavor. It was run out of a team based at johns Hopkins University, but in collaboration with a broad range of researchers who are all adding their expertise and what we were able to do was to provide the sort of the technical infrastructure for taking the transformation pipelines that are being developed, that the actual logic and the code and developing these very robust kind of centralist templates for that. Um, that could be deployed just like software is deployed, have changed management, have upgrades and downgrades and version control and change logs so that we can roll that out across a large number of sites in a very robust way very quickly. So that's sort of that, that that's one aspect of it. And then there was a bunch of really interesting challenges along the way that again, a very broad collaborative team of researchers worked on and an example of that would be unit harmonization and inference. So really simple things like when a lab result arrives, we talked about data quality, um, you were expected to have a unit right? Like if you're reporting somebody's weight, you probably want to know if it's in kilograms or pounds, but we found that a very significant proportion of the time the unit was actually missing in the HR record. And so unless you can actually get that back, that becomes useless. And so an approach was developed because we had data across 60 or more different sites, you have a large number of lab tests that do have the correct units and you can look at the data distributions and decide how likely is it that this missing unit is actually kilograms or pounds and save a huge portion of these labs. So that's just an example of something that has enabled research to happen that would not otherwise have been able >>just not to dig in and rat hole on that one point. But what time saving do you think that saves? I mean, I can imagine it's on the data cleaning side. That's just a massive time savings just in for Okay. Based on the data sampling, this is kilograms or pounds. >>Exactly. So we're talking there's more than 3.5 billion lab records in this data base now. So if you were trying to do this manually, I mean, it would take, it would take to thousands of years, you know, it just wouldn't be a black, it would >>be a black hole in the dataset, essentially because there's no way it would get done. Ok. Ok. Sam take me through like from a research standpoint, this normalization, harmonization the process. What does that enable for the, for the research and who decides what's the standard format? So, because again, I'm just in my mind thinking how hard this is. And then what was the, what was decided? Was it just on the base records what standards were happening? What's the impact of researchers >>now? It's a great quite well, a couple things I'll say. And Ben has touched on this is the other real core piece of N three C is the community, right? You know, And so I think there's a couple of things you mentioned with this, johN is the way we execute this is, it was very nimble, it was very agile and there's something to be said on that piece from a procurement perspective, the government had many covid authorities that were granted to make very fast decisions to get things procured quickly. And we were able to turn this around with our acquisition shop, which we would otherwise, you know, be dead in the water like you said, wait a year ago through a normal acquisition process, which can take time, but that's only one half the other half. And really, you're touching on this and Ben is touching on this is when he mentions the research as we have this entire courts entire, you know, research community numbering in the thousands from a volunteer perspective. I think it's really fascinating. This is a really a great example to me of this public private partnership between the companies we use, but also the academic participants that are actually make up the community. Um again, who the amount of time they have dedicated on this is just incredible. So, so really, what's also been established with this is core governance. And so, you know, you think from assistance perspective is, you know, the Palin tear this environment, the N three C environment belongs to the government, but the N 33 the entire actually, you know, program, I would say, belongs to the community. We have co governance on this. So who decides really is just a mixture between the folks on End Cats, but not just end cast as folks at End Cats, folks that, you know, and I proper, but also folks and other government agencies, but also the, the academic communities and entire these mixed governance teams that actually set the stage for all of this. And again, you know, who's gonna decide the standard, We decide we're gonna do this in Oman 5.3 point one um is the standard we're going to utilize. And then once the data is there, this is what gets exciting is then they have the different domain teams where they can ask different research questions depending upon what has interest scientifically to them. Um and so really, you know, we viewed this from the government's perspective is how do we build again the secure platform where we can enable the research, but we don't really want to dictate the research. I mean, the one criteria we did put your research has to be covid focused because very clearly in response to covid, so you have to have a Covid focus and then we have data use agreements, data use request. You know, we have entire governance committees that decide is this research in scope, but we don't want to dictate the research types that the domain teams are bringing to the table. >>And I think the National Institutes of Health, you think about just that their mission is to serve the public health. And I think this is a great example of when you enable data to be surfaced and available that you can really allow people to be empowered and not to use the cliche citizen analysts. But in a way this is what the community is doing. You're doing research and allowing people from volunteers to academics to students to just be part of it. That is citizen analysis that you got citizen journalism. You've got citizen and uh, research, you've got a lot of democratization happening here. Is that part of it was a result of >>this? Uh, it's both. It's a great question. I think it's both. And it's it's really by design because again, we want to enable and there's a couple of things that I really, you know, we we clamor with at end cats. I think NIH is going with this direction to is we believe firmly in open science, we believe firmly in open standards and how we can actually enable these standards to promote this open science because it's actually nontrivial. We've had, you know, the citizen scientists actually on the tricky problem from a governance perspective or we have the case where we actually had to have students that wanted access to the environment. Well, we actually had to have someone because, you know, they have to have an institution that they come in with, but we've actually across some of those bridges to actually get students and researchers into this environment very much by design, but also the spirit which was held enabled by the community, which, again, so I think they go they go hand in hand. I planned for >>open science as a huge wave, I'm a big fan, I think that's got a lot of headroom because open source, what that's done to software, the software industry, it's amazing. And I think your Federated idea comes in here and Ben if you guys can just talk through the Federated, because I think that might enable and remove some of the structural blockers that might be out there in terms of, oh, you gotta be affiliate with this or that our friends got to invite you, but then you got privacy access and this Federated ID not an easy thing, it's easy to say. But how do you tie that together? Because you want to enable frictionless ability to come in and contribute same time you want to have some policies around who's in and who's not. >>Yes, totally, I mean so Sam sort of already described the the UNa system which is the authentication system that encounters has developed. And obviously you know from our perspective, you know we integrate with that is using all of the standard kind of authentication protocols and it's very easy to integrate that into the family platform um and make it so that we can authenticate people correctly. But then if you go beyond authentication you also then to actually you need to have the access controls in place to say yes I know who this person is, but now what should they actually be able to see? Um And I think one of the really great things in Free C has done is to be very rigorous about that. They have their governance rules that says you should be using the data for a certain purpose. You must go through a procedure so that the access committee approves that purpose. And then we need to make sure that you're actually doing the work that you said you were going to. And so before you can get your data back out of the system where your results out, you actually have to prove that those results are in line with the original stated purpose and the infrastructure around that and having the access controls and the governance processes, all working together in a seamless way so that it doesn't, as you say, increase the friction on the researcher and they can get access to the data for that appropriate purpose. That was a big component of what we've been building out with them three C. Absolutely. >>And really in line john with what NIH is doing with the research, all service, they call this raz. And I think things that we believe in their standards that were starting to follow and work with them closely. Multifactor authentication because of the point Ben is making and you raised as well, you know, one you need to authenticate, okay. This you are who you say you are. And and we're recognizing that and you're, you know, the author and peace within the authors. E what do you authorized to see? What do you have authorization to? And they go hand in hand and again, non trivial problems. And especially, you know, when we basis typically a lot of what we're using is is we'll do direct integrations with our package. We using commons for Federated access were also even using login dot gov. Um, you know, again because we need to make sure that people had a means, you know, and login dot gov is essentially a runoff right? If they don't have, you know an organization which we have in common or a Federated access to generate a login dot gov account but they still are whole, you know beholden to the multi factor authentication step and then they still have to get the same authorizations because we really do believe access to these environment seamlessly is absolutely critical, you know, who are users are but again not make it restrictive and not make it this this friction filled process. That's very that's very >>different. I mean you think about nontrivial, totally agree with you and if you think about like if you were in a classic enterprise, I thought about an I. T. Problem like bring your own device to work and that's basically what the whole world does these days. So like you're thinking about access, you don't know who's coming in, you don't know where they're coming in from, um when the churn is so high, you don't know, I mean all this is happening, right? So you have to be prepared two Provisions and provide resource to a very lightweight access edge. >>That's right. And that's why it gets back to what we mentioned is we were taking a step back and thinking about this problem, you know, an M three C became the use case was this is an enterprise I. T. Problem. Right. You know, we have users from around the world that want to access this environment and again we try to hit a really difficult mark, which is secure but collaborative, Right? That's that's not easy, you know? But but again, the only place this environment could take place isn't a cloud based environment, right? Let's be real. You know, 10 years ago. Forget it. You know, Again, maybe it would have been difficult, but now it's just incredible how much they advanced that these real virtual research organizations can start to exist and they become the real partnerships. >>Well, I want to Well, that's a great point. I want to highlight and call out because I've done a lot of these interviews with awards programs over the years and certainly in public sector and open source over many, many years. One of the things open source allows us the code re use and also when you start getting in these situations where, okay, you have a crisis covid other things happen, nonprofits go, that's the same thing. They, they lose their funding and all the code disappears. Saying with these covid when it becomes over, you don't want to lose the momentum. So this whole idea of re use this platform is aged deplatforming of and re factoring if you will, these are two concepts with a cloud enables SAM, I'd love to get your thoughts on this because it doesn't go away when Covid's >>over, research still >>continues. So this whole idea of re platform NG and then re factoring is very much a new concept versus the old days of okay, projects over, move on to the next one. >>No, you're absolutely right. And I think what first drove us is we're taking a step back and and cats, you know, how do we ensure that sustainability? Right, Because my background is actually engineering. So I think about, you know, you want to build things to last and what you just described, johN is that, you know, that, that funding, it peaks, it goes up and then it wanes away and it goes and what you're left with essentially is nothing, you know, it's okay you did this investment in a body of work and it goes away. And really, I think what we're really building are these sustainable platforms that we will actually grow and evolve based upon the research needs over time. And I think that was really a huge investment that both, you know, again and and Cats is made. But NIH is going in a very similar direction. There's a substantial investment, um, you know, made in these, these these these really impressive environments. How do we make sure the sustainable for the long term? You know, again, we just went through this with Covid, but what's gonna come next? You know, one of the research questions that we need to answer, but also open source is an incredibly important piece of this. I think Ben can speak this in a second, all the harmonization work, all that effort, you know, essentially this massive, complex GTL process Is in the N three Seagate hub. So we believe, you know, completely and the open source model a little bit of a flavor on it too though, because, you know, again, back to the sustainability, john, I believe, you know, there's a room for this, this marriage between commercial platforms and open source software and we need both. You know, as we're strong proponents of N cats are both, but especially with sustainability, especially I think Enterprise I. T. You know, you have to have professional grade products that was part of, I would say an experiment we ran out and cast our thought was we can fund academic groups and we can have them do open source projects and you'll get some decent results. But I think the nature of it and the nature of these environments become so complex. The experiment we're taking is we're going to provide commercial grade tools For the academic community and the researchers and let them use them and see how they can be enabled and actually focus on research questions. And I think, you know, N3C, which we've been very successful with that model while still really adhering to the open source spirit and >>principles as an amazing story, congratulated, you know what? That's so awesome because that's the future. And I think you're onto something huge. Great point, Ben, you want to chime in on this whole sustainability because the public private partnership idea is the now the new model innovation formula is about open and collaborative. What's your thoughts? >>Absolutely. And I mean, we uh, volunteer have been huge proponents of reproducibility and openness, um in analyses and in science. And so everything done within the family platform is done in open source languages like python and R. And sequel, um and is exposed via open A. P. I. S and through get repository. So that as SaM says, we've we've pushed all of that E. T. L. Code that was developed within the platform out to the cats get hub. Um and the analysis code itself being written in those various different languages can also sort of easily be pulled out um and made available for other researchers in the future. And I think what we've also seen is that within the data enclave there's been an enormous amount of re use across the different research projects. And so actually having that security in place and making it secure so that people can actually start to share with each other securely as well. And and and be very clear that although I'm sharing this, it's still within the range of the government's requirements has meant that the, the research has really been accelerated because people have been able to build and stand on the shoulders of what earlier projects have done. >>Okay. Ben. Great stuff. 1000 researchers. Open source code and get a job. Where do I sign up? I want to get involved. This is amazing. Like it sounds like a great party. >>We'll send you a link if you do a search on on N three C, you know, do do a search on that and you'll actually will come up with a website hosted by the academic side and I'll show you all the information of how you can actually connect and john you're welcome to come in. Billion by all means >>billions of rows of data being solved. Great tech he's working on again. This is a great example of large scale the modern era of solving problems is here. It's out in the open, Open Science. Sam. Congratulations on your great success. Ben Award winners. You guys doing a great job. Great story. Thanks for sharing here with us in the queue. Appreciate it. >>Thank you, john. >>Thanks for having us. >>Okay. It is. Global public sector partner rewards best Covid solution palantir and and cats. Great solution. Great story. I'm john Kerry with the cube. Thanks for watching. Mm mm. >>Mhm

>>live from Las Vegas. It's the Cube covering Splunk dot com. 19. Brought to you by spunk. >>Okay, welcome back. Everyone secures live coverage in Las Vegas response dot com. I'm John Ferrier, host of the Cube. We're here for three days is a spunk. Spunk dot com 10 anniversary of their end user conference way Got some great guests here. They talk about diversity, inclusion breaking the barrier. Women in tech We got some great guests. Jane Heights, I add Si io National government service is Thanks for joining us. Appreciate it. Carol Jones, CEO Sandy and National Labs from Albuquerque Think coming on to CEOs of excited Suzanne McGovern. Diversity and inclusion talent leader for Splunk Thanks for guys joining us. Really appreciate it. I want to get into a panel you guys discuss because this is the area of really important to the workforce. Global workforce is made up of men and women, but most of the software text built by mostly men. But we get that second. I want to get in, find out what you guys are doing in your rolls because you guys, the journey is breaking through the barrier. Start with you. What's your role. What do you do? Their CEO. >>So I am CEO for National Government Service Is we do Medicare claims processing for the federal government. We also have a number of I t contracts with CMS. And, um, I organ. I have an organization of 331 people. Very different organization, Data center, infrastructure security gambit of I t, if you will. A great group of people divers were in Baltimore. Where? In Indianapolis. We're out of the kingdom office. How >>long have you been in 19 >>My career. So yes. Yeah. The waves. Yes. I have seen the waves have Daryl >>Jones and I'm c i o same National Laboratories. It's a federally funded research and development center. So we do research and development from on behalf of the U. S. Government. I have about 500 employees and 400 contractors. So we provide the I T for Sadia, all gametes of it, including some classified environments. >>A lot of security, your role. What's wrong? >>I'm the chief diversity officer. It's Plus I get the pleasure to do that every day. A swell, a cz. It's everyone's job. Not just magically explode. But I'm very honored to do that. How to look after talent. >>I want to compliment you guys on your new branding. Thank not only is a cool and really picking orange, but also that position is very broad and everything is trade message. But the big posters have diversity. Not a bunch of men on the posters. So congratulations, it's anger. Representative is really important. Worth mentioning. Okay, let's start with the journey. The topic you guys just talked about on a panel here in Las Vegas is female leaders smashing the glass ceiling. So when you smash his last ceiling, did you get caught? Was her bleeding? What happened? Take us for your journey. What was big? Take away. What's the learnings? Share your stories. >>Well, a lot of it, as I shared today with Panel, is really learning and be having that Lerner mindset and learning from something that you do, which is part of your life. And I use the example of I'm married to an Indian Muslim, went to India, spent some time with his family, and they told me Let's be ready at 6 30 and I said, Okay, I'm ready. I'm ready. Dressed in 6 30 nobody else was ready. And everyone in the room said, Well, we're gonna have Chai first we're gonna have some tea And I was like, Well, you said 6 30 and I'm ready And, um, everyone said, Well, you know, we need to relax. We need to connect. We need to have some time So I took that back and said, You know what? We all need to make time for tea Way. All need to connect with our people and the individuals that work with us, And I've kind of taken that on through the last 20 years of being married, Tim. But connecting with individuals and your teams and your partner's is what's important and as what Lead Meeks. I've built those allies and that great group of people that >>being people centric, relationship driven, not so much chasing promotions or those kinds. >>That's what's worked for me. Yes, >>Carol, it's been your journey. Stories >>start a little bit of beginnings. I've been in Tech over 30 years. I got a bachelor's and marketing, and then I was looking to get my master's. So I got, um, I s degree, but I didn't know even to go into that field. So my professor said you needed to go into my s, so don't know that's too hard. You can't do that. You know, you could do it. So it's always been challenging myself and continuing learning. I worked at IBM then I was there in the time when they did great layoffs. So no, e he was 93 right to left. Only wonder he's gonna be left by the end of the year. >>You know, for the younger audience out there M I s stands from management information systems. Before that, there was data processing division which actually relevant today. Quite a journey. What a great spirit. What's the one thing that you could share? Folks, this is a lot of young women coming into the workforce, and a lot of people are looking at inspirational figures like yourselves that have been there and done that. There's a lot of mentoring going on is a lot of navigation for young women and understand minorities. And they just you guys, there's no real playbook. You guys have experiences. What's your advice, folks out watching >>my number one advice. And I gave this to people who are wanting to go into leadership. Trust yourself. Trust to you. Are you all got to this place because of the successful person you are and just continue to trust yourself to take advantage of those opportunities. Take a risk. I took a risk when my total focus was in Medicare. I was asked to do another job and I took another, you know, position. And it wasn't in Medicare. So you have to take those opportunities and risk and just trust that you're gonna get yourself. >>Carol. You're >>similar. It's to continue to grow and to be resilient, there'll be times in your career like a layoff where you don't know what you're gonna do. You bounce back and make it into uneven. Better job on. Take risks. I took a risk. I went into cybersecurity. Spent 10 years there, continuing learning and the Brazilian >>learnings key, right? I mean, one of the things about security mentioned 10 years. So much has changed, hasn't it? >>Well, it's bad. Guys still outnumber the good guys. That has changed faster. Exactly. Technologies change. >>Just talk about the diversity inclusion efforts. You guys have a Splunk Splunk cultures very open transparent on the technology solutions very enabling you actually enabling a lot of change on the solution side. Now we're seeing tech for good kind of stories because Texas Tech Tech for business. But also you're seeing speed and times value time to mission value, a new term way kicked around this morning. It's time to mission value. >>Yes. So I'm glad you mentioned data, right? We're data company, and we're very proud that we actually whole star diversity inclusion numbers, right? So way moved the needle 1.8% on gender last year, year on year pride, but not satisfied. We understand that there's much more to diversity inclusion than just gender, But our strategy is threefold for diversity. Inclusion. So it's work force, workplace marketplace farces around just where talk is improving our representation so that these women are no longer the only. These are in the minority that were much more represented, and we're lucky we have three women and our board. We have four women in our C suite, so we're making good good progress. But there's a lot more to do, and as I say, it's not just about gender. We want to do way, nor the innovation is fueled by diversity. So we want to try. You know, folks of different races, different ethnicity, military veterans, people with disability. We need everyone. It's belongs to be, since >>you guys are all three leaders in the industry, Thanks for coming on. Appreciate that. I want to ask you guys because culture seems to be a common thread. I mean, I do so money talks and interviews with leaders for all types, from digital transformation to Dev ops, the security and they always talk speeds in fees. But all the change comes from culture people on what I'm seeing is a pattern of success. Diversity inclusion works well if it's in the culture of the company, so one filter for anyone a woman or anyone is this is a company culturally aligned with it. So that's the question is what do you do when you have a culture that's aligned with it? And what do you do? There's a culture that's not allow, so you want to get out. But how do you unwind and how do you navigate and how do you see the size of signals? Because the date is there >>a way to certainly really harness and failed a culture of inclusion. And that's through employee resource groups in particular. So it's plunks. More than 50% of our spelunkers are actually members. Followers are allies on employee resource. So gives community. It gives that sense of inclusion so that everyone could bring their whole Selves to work. So, to your point, it really does build a different culture, different level of connection. And it's super different. >>Any thoughts on culture and signals look for good, bad, ugly, I mean, because you see a good ways taken right. Why not >>take a chance, right? Right. No, I think, you know, like you look at it and you decide, like some young women we were talking to, You know, Is this the right company for you? And if not, can you find an ally? You know, it's a feeling that the culture isn't there and helped educate him on help to get him to be Jack of what does he and his leaders, I think we have to always ask ourselves, Are we being inclusive for everyone >>and mine? I would spend it a little bit. Is that diversity and thoughts And how? When I joined this organization. Culture is a big factor that needs to change and some of the things that I'm working on, but to bring people to the table and hear those different thoughts and listen to them because they all do think differently. No matter color, race, gender, that sort of thing. So diversity and thought is really something that I try to focus in on >>carry. Palin was just on the Cuban CMO of Splunk and top of the logo's on the branding and, she said, was a great team effort. Love that because she's just really cool about that. And she said we had a lot of diversity and thought, which is a code word for debate. So when you have diversity, I want to get your thoughts on this because this is interesting. We live in a time where speed is a competitive advantage speed, creativity, productivity, relevance, scale. These air kind of the key kind of modern efforts. Diversity could slow things down, too, so but the benefit of diversity is more thought, more access to data. So the question is, what do you guys think about how companies or individuals could not lose the speed keep the game going on the speed and scale and get the benefits of the diversity because you don't want things to grind down. Toe halts way Slugs in the speed game get data more diverse. Data comes in. That's a technical issue. But with diversity, you >>want a challenge that, to be honest, because we're a data company in the details. Irrefutable. Right? So gender diverse Teams up inform homogeneous teams by about 15% if you take that to race and ethnicity was up to 33%. Companies like ourselves, of course, their numbers see an uptick in share price. It's a business imperative, right? We get that. It's the right thing to do. But this notion that it slows things down, you find a way right. You're really high performance. You find a way best time. So it doesn't always come fast, right? Sometimes it's about patients and leadership. So I'm on the side of data and the data is there. If you tickle, di bear seems just perform better, >>so if it is slowing down, your position would be that it's not working >>well. Yes, I know. I think you got to find a way to work together, you know? And that's a beautiful thing about places like spun were hyper cool, right? It's crazy. Tons of work to do different things were just talking about this in the break way have this unwritten rule that we don't hire. I'll see jerks for >>gender neutral data, saris, origin, gender neutral data. >>Yeah, absolutely no hiring folks are really gonna, you know, have a different cultural impact there. No cultural adds the organization way. Need everyone on bats. Beautiful thing. And that's what makes it special. >>I think you know, is you start to work and be more inclusive. You start to build trust. So it goes back to what Jane was talking about relationships. And so you gotta have that foundation and you can move fast and still be reversed. I >>think that's a very key point. Trust is critical because people are taking chances whether they're male or female. If the team works there like you see a Splunk, it shouldn't be an issue becomes an issue when it's issue. All right, so big Walk away and learnings over the years in your journey. What was some moments of greatness? Moments of struggle where you brought your whole self to bear around resolving in persevering what were some challenges in growth moments that really made a difference in your life breaking through that ceiling. >>Wow. Well, um, I'm a breast cancer survivor, and I, uh, used my job and my strength to pull me through that. And I was working during the time, and I had a great leader who took it upon herself to make sure that I could work if I wanted. Thio are not. And it really opened that up for me to be able to say, I can still bring my whole self, whatever that is today that I'm doing. And I look back at that time and that was a strength from inside that gave me that trust myself. You're going to get through it. And that was a challenging personal time, But yet had so many learnings in it, from a career perspective to >>story thanks for sharing Caroline stories and struggles and successes that made him big impact of you. Your >>life. It was my first level one manager job. I got into cybersecurity and I didn't know what I was doing. I came back. My boss of Carol. I don't know what you did this year, and so I really had to learn to communicate. But prior to that, you know that I would never have been on TV. Never would have done public speaking like we did today. So I had to hire a coach and learn hadn't forward on communications. Thanks for sharing stories, I think a >>pivotal moment for me. I was in management, consultants say, for the first half of my career, Dad's first child and I was on the highway with a local Klein seven in the morning. Closet Night started on a Sunday midday, so I didn't see her a week the first night. I know many women who do it just wasn't my personal choice. So I decided to take a roll internal and not find Jason and was told that my career would be over, that I would be on a track, that I wouldn't get partner anymore. And it really wasn't the case. I find my passions in the people agenda did leadership development. I didn't teach our role. I got into diversity, including which I absolutely love. So I think some of those pivotal moments you talked about resilient earlier in the panel is just to dig, dying to know what's important to you personally and for the family and really follow your to north and you know, it works out in the end, >>you guys air inspiration. Thank you for sharing that, I guess on a personal question for me, as a male, there's a lot of men who want to do good. They want to be inclusive as well. Some don't know what to do. Don't even are free to ask for directions, right? So what would you advise men? How could they help in today's culture to move the needle forward, to support beach there from trust and all these critical things that make a difference what you say to that? >>So the research says that women don't suffer from a lack of mentorship. The sucker suffer from a lack of advocacy. So I would say if you want to do something super easy and impactful, go advocate for women, go advocate for women. You know who is amazing I there and go help her forward >>in Korea. And you can do that. Whatever gender you are, you can advocate for others. Yeah, also echo the advocacy. I would agree. >>Trust relationships, yes, across the board >>way, said Thio. Some of the women and our allies today WAAS bring your whole self. And I would just encourage men to do that, to bring your whole self to work, because that's what speeds up the data exchange. That's what it speeds up. Results >>take a chance, >>Take a chance, bring your whole self >>get trust going right. He opened a communicated and look at the date on the photo booth. Datable driver. Thank you guys so much for sharing your stories in The Cube, you think. Uses the stories on the Cube segments. Cube coverage here in Las Vegas for the 10th stop. Compass Accused seventh year John Ferrier with Q. Thanks for watching.