(upbeat music) >> Welcome back to The Cubes coverage of WIDS 2023 the eighth Annual Women in Data Science Conference which is held at Stanford University. I'm your host, Lisa Martin. I'm really excited to be having some great co-hosts today. I've got Hannah Freytag with me, who is a data journalism master student at Stanford. We have yet another inspiring woman in technology to bring to you today. Kelly Hoang joins us, data scientist at Gilead. It's so great to have you, Kelly. >> Hi, thank you for having me today. I'm super excited to be here and share my journey with you guys. >> Let's talk about that journey. You recently got your PhD in information sciences, congratulations. >> Thank you. Yes, I just graduated, I completed my PhD in information sciences from University of Illinois Urbana-Champaign. And right now I moved to Bay Area and started my career as a data scientist at Gilead. >> And you're in better climate. Well, we do get snow here. >> Kelly: That's true. >> We proved that the last... And data science can show us all the climate change that's going on here. >> That's true. That's the topic of the data fund this year, right? To understand the changes in the climate. >> Yeah. Talk a little bit about your background. You were mentioning before we went live that you come from a whole family of STEM students. So you had that kind of in your DNA. >> Well, I consider myself maybe I was a lucky case. I did grew up in a family in the STEM environment. My dad actually was a professor in computer science. So I remember when I was at a very young age, I already see like datas, all of these computer science concepts. So grew up to be a data scientist is always something like in my mind. >> You aspired to be. >> Yes. >> I love that. >> So I consider myself in a lucky place in that way. But also, like during this journey to become a data scientist you need to navigate yourself too, right? Like you have this roots, like this foundation but then you still need to kind of like figure out yourself what is it? Is it really the career that you want to pursue? But I'm happy that I'm end up here today and where I am right now. >> Oh, we're happy to have you. >> Yeah. So you' re with Gilead now after you're completing your PhD. And were you always interested in the intersection of data science and health, or is that something you explored throughout your studies? >> Oh, that's an excellent question. So I did have background in computer science but I only really get into biomedical domain when I did my PhD at school. So my research during my PhD was natural language processing, NLP and machine learning and their applications in biomedical domains. And then when I graduated, I got my first job in Gilead Science. Is super, super close and super relevant to what my research at school. And at Gilead, I am working in the advanced analytics department, and our focus is to bring artificial intelligence and machine learning into supporting clinical decision making. And really the ultimate goal is how to use AI to accelerate the precision medicine. So yes, it's something very like... I'm very lucky to get the first job that which is very close to my research at school. >> That's outstanding. You know, when we talk about AI, we can't not talk about ethics, bias. >> Kelly: Right. >> We know there's (crosstalk) Yes. >> Kelly: In healthcare. >> Exactly. Exactly. Equities in healthcare, equities in so many things. Talk a little bit about what excites you about AI, what you're doing at Gilead to really influence... I mean this, we're talking about something that's influencing life and death situations. >> Kelly: Right. >> How are you using AI in a way that is really maximizing the opportunities that AI can bring and maximizing the value in the data, but helping to dial down some of the challenges that come with AI? >> Yep. So as you may know already with the digitalization of medical records, this is nowaday, we have a tremendous opportunities to fulfill the dream of precision medicine. And what I mean by precision medicines, means now the treatments for people can be really tailored to individual patients depending on their own like characteristic or demographic or whatever. And nature language processing and machine learning, and AI in general really play a key role in that innovation, right? Because like there's a vast amount of information of patients and patient journeys or patient treatment is conducted and recorded in text. So that's why our group was established. Actually our department, advanced analytic department in Gilead is pretty new. We established our department last year. >> Oh wow. >> But really our mission is to bring AI into this field because we see the opportunity now. We have a vast amount of data about patient about their treatments, how we can mine these data how we can understand and tailor the treatment to individuals. And give everyone better care. >> I love that you brought up precision medicine. You know, I always think, if I kind of abstract everything, technology, data, connectivity, we have this expectation in our consumer lives. We can get anything we want. Not only can we get anything we want but we expect whoever we're engaging with, whether it's Amazon or Uber or Netflix to know enough about me to get me that precise next step. I don't think about precision medicine but you bring up such a great point. We expect these tailored experiences in our personal lives. Why not expect that in medicine as well? And have a tailored treatment plan based on whatever you have, based on data, your genetics, and being able to use NLP, machine learning and AI to drive that is really exciting. >> Yeah. You recap it very well, but then you also bring up a good point about the challenges to bring AI into this field right? Definitely this is an emerging field, but also very challenging because we talk about human health. We are doing the work that have direct impact to human health. So everything need to be... Whatever model, machine learning model that you are building, developing you need to be precise. It need to be evaluated properly before like using as a product, apply into the real practice. So it's not like recommendation systems for shopping or anything like that. We're talking about our actual health. So yes, it's challenging that way. >> Yeah. With that, you already answered one of the next questions I had because like medical data and health data is very sensitive. And how you at Gilead, you know, try to protect this data to protect like the human beings, you know, who are the data in the end. >> The security aspect is critical. You bring up a great point about sensitive data. We think of healthcare as sensitive data. Or PII if you're doing a bank transaction. We have to be so careful with that. Where is security, data security, in your everyday work practices within data science? Is it... I imagine it's a fundamental piece. >> Yes, for sure. We at Gilead, for sure, in data science organization we have like intensive trainings for employees about data privacy and security, how you use the data. But then also at the same time, when we work directly with dataset, it's not that we have like direct information about patient at like very granular level. Everything is need to be kind of like anonymized at some points to protect patient privacy. So we do have rules, policies to follow to put that in place in our organization. >> Very much needed. So some of the conversations we heard, were you able to hear the keynote this morning? >> Yes. I did. I attended. Like I listened to all of them. >> Isn't it fantastic? >> Yes, yes. Especially hearing these women from different backgrounds, at different level of their professional life, sharing their journeys. It's really inspiring. >> And Hannah, and I've been talking about, a lot of those journeys look like this. >> I know >> You just kind of go... It's very... Yours is linear, but you're kind of the exception. >> Yeah, this is why I consider my case as I was lucky to grow up in STEM environment. But then again, back to my point at the beginning, sometimes you need to navigate yourself too. Like I did mention about, I did my pa... Sorry, my bachelor degree in Vietnam, in STEM and in computer science. And that time, there's only five girls in a class of 100 students. So I was not the smartest person in the room. And I kept my minority in that areas, right? So at some point I asked myself like, "Huh, I don't know. Is this really my careers." It seems that others, like male people or students, they did better than me. But then you kind of like, I always have this passion of datas. So you just like navigate yourself, keep pushing yourself over those journey. And like being where I am right now. >> And look what you've accomplished. >> Thank you. >> Yeah. That's very inspiring. And yeah, you mentioned how you were in the classroom and you were only one of the few women in the room. And what inspired or motivated you to keep going, even though sometimes you were at these points where you're like, "Okay, is this the right thing?" "Is this the right thing for me?" What motivated you to keep going? >> Well, I think personally for me, as a data scientist or for woman working in data science in general, I always try to find a good story from data. Like it's not, when you have a data set, well it's important for you to come up with methodologies, what are you going to do with the dataset? But I think it's even more important to kind of like getting the context of the dataset. Like think about it like what is the story behind this dataset? What is the thing that you can get out of it and what is the meaning behind? How can we use it to help use it in a useful way. To have in some certain use case. So I always have that like curiosity and encouragement in myself. Like every time someone handed me a data set, I always think about that. So it's helped me to like build up this kind of like passion for me. And then yeah. And then become a data scientist. >> So you had that internal drive. I think it's in your DNA as well. When you were one of five. You were 5% women in your computer science undergrad in Vietnam. Yet as Hannah was asking you, you found a lot of motivation from within. You embrace that, which is so key. When we look at some of the statistics, speaking of data, of women in technical roles. We've seen it hover around 25% the last few years, probably five to 10. I was reading some data from anitab.org over the weekend, and it shows that it's now, in 2022, the number of women in technical roles rose slightly, but it rose, 27.6%. So we're seeing the needle move slowly. But one of the challenges that still remains is attrition. Women who are leaving the role. You've got your PhD. You have a 10 month old, you've got more than one child. What would you advise to women who might be at that crossroads of not knowing should I continue my career in climbing the ladder, or do I just go be with my family or do something else? What's your advice to them in terms of staying the path? >> I think it's really down to that you need to follow your passion. Like in any kind of job, not only like in data science right? If you want to be a baker, or you want to be a chef, or you want to be a software engineer. It's really like you need to ask yourself is it something that you're really passionate about? Because if you really passionate about something, regardless how difficult it is, like regardless like you have so many kids to take care of, you have the whole family to take care of. You have this and that. You still can find your time to spend on it. So it's really like let yourself drive your own passion. Drive the way where you leading to. I guess that's my advice. >> Kind of like following your own North Star, right? Is what you're suggesting. >> Yeah. >> What role have mentors played in your career path, to where you are now? Have you had mentors on the way or people who inspired you? >> Well, I did. I certainly met quite a lot of women who inspired me during my journey. But right now, at this moment, one person, particular person that I just popped into my mind is my current manager. She's also data scientist. She's originally from Caribbean and then came to the US, did her PhDs too, and now led a group, all women. So believe it or not, I am in a group of all women working in data science. So she's really like someone inspire me a lot, like someone I look up to in this career. >> I love that. You went from being one of five females in a class of 100, to now having a PhD in information sciences, and being on an all female data science team. That's pretty cool. >> It's great. Yeah, it's great. And then you see how fascinating that, how things shift right? And now today we are here in a conference that all are women in data science. >> Yeah. >> It's extraordinary. >> So this year we're fortunate to have WIDS coincide this year with the actual International Women's Day, March 8th which is so exciting. Which is always around this time of year, but it's great to have it on the day. The theme of this International Women's Day this year is embrace equity. When you think of that theme, and your career path, and what you're doing now, and who inspires you, how can companies like Gilead benefit from embracing equity? What are your thoughts on that as a theme? >> So I feel like I'm very lucky to get my first job at Gilead. Not only because the work that we are doing here very close to my research at school, but also because of the working environment at Gilead. Inclusion actually is one of the five core values of Gilead. >> Nice. >> So by that, we means we try to create and creating a working environment that all of the differences are valued. Like regardless your background, your gender. So at Gilead, we have women at Gilead which is a global network of female employees, that help us to strengthen our inclusion culture, and also to influence our voices into the company cultural company policy and practice. So yeah, I'm very lucky to work in the environment nowadays. >> It's impressive to not only hear that you're on an all female data science team, but what Gilead is doing and the actions they're taking. It's one thing, we've talked about this Hannah, for companies, and regardless of industry, to say we're going to have 50% women in our workforce by 2030, 2035, 2040. It's a whole other ballgame for companies like Gilead to actually be putting pen to paper. To actually be creating a strategy that they're executing on. That's awesome. And it must feel good to be a part of a company who's really adapting its culture to be more inclusive, because there's so much value that comes from inclusivity, thought diversity, that ultimately will help Gilead produce better products and services. >> Yeah. Yes. Yeah. Actually this here is the first year Gilead is a sponsor of the WIDS Conference. And we are so excited to establish this relationship, and looking forward to like having more collaboration with WIDS in the future. >> Excellent. Kelly we've had such a pleasure having you on the program. Thank you for sharing your linear path. You are definitely a unicorn. We appreciate your insights and your advice to those who might be navigating similar situations. Thank you for being on theCUBE today. >> Thank you so much for having me. >> Oh, it was our pleasure. For our guests, and Hannah Freytag this is Lisa Martin from theCUBE. Coming to you from WIDS 2023, the eighth annual conference. Stick around. Our final guest joins us in just a minute.

>> Narrator: Live from Washington, D.C. It's the CUBE. Covering Boomi World 19. Brought to you by Boomi. >> Welcome to the CUBE, about the leader in live tech coverage. I am Lisa Martin with John Furrier. We're at Boomi World 19 in Washington, D.C. Please welcome one of Boomi's award winners to the program from Gilead Sciences we have the Director of IT, Murali Anakavur. Welcome Murali and congratulations on Gilead being the 2019 Change Agent Award winner for North America. >> Thank you so much Lisa. It's good to receive the award. Lot of efforts have been put in place by our folks. I'm very honored and privileged to receive this award. >> Fantastic. So give our audience an overview of Gilead Sciences. What you guys do and then we'll start getting into the IT infrastructure and all of the great things that you have done with Boomi. >> Definitely. Gilead has been in the forefront of meeting an aspect of medical needs of patients worldwide. Clearly, it's the company, if you recollect, solve the (mumbles) problem in the world. There were the cured from the cure for it that started the company originally to come up to where they are today. They are in the forefront of science and R and D and technology when putting therapeutics for inflammatory infectious, and recently in big cancer treatments and other treatments. So the world is opening up big time. Our focus is to resolve and make medical needs. The company is so focused and they want to provide the cure for all these and it's so passionately too. So all kinds of R and D going on. I'm so honored to be working for a company which is doing this great need for humanity, frankly. >> Absolutely. So the cure for Hepatitis C, that's huge. Whenever we talk about technology where it impacts every single person on this planet, infectious diseases, cancer as you mentioned, it's really... It's pulverizing people understand it. It's--there's a lot of gravity around it. Talk to us about what you needed to implement, from a technology infrastructure perspective, to connect all of these different data sources, so that the next cure for all these different diseases has a foundation from which providers can actually link data. >> Obviously. >> Talk about it. There are some backing sources company, any company needs, let's say ERP system, need some CRM system. Those are good. But our company has the complexity of manufacturing system that needs to make medicines. Company's complexity is the lab systems, R and D systems, product life cycle management systems where things originated in a little molecule for the compound they call it, and it expands into what they say clinical studies on a medicine. So you can imagine the plethora of system that make this happen. So what happens in this environment is now people bring up systems for what they need and ERP does what they need. All of the sudden, "I can't do without customer data." "I can't do without my patient data." "I can't do without my item data." "How do we get the data?" So it becomes--begs the question like, "Oh my gosh, okay we got all these complex systems in place, how are you going to share the data? Who's the master? Where's the source of truth? So all those sort of begging question is that, kind of start up the landscape of integration. So that's where we are. Launched that previous legacy systems for SOA that we have currently. Mostly call it the SD enterprise service. that shares data within the premises. Guess what today? They want, "Hey I've got this Cloud system that I'm accessing. I'm going to buy this sales force commercial systems that could enable me to launch my commerce market better. How do we deal with these guys? How do we reach out to those folks? How do I make my engagement app on the events for doctors? How do I connect with my patients? All these are big question that've been asked. There was a need for system that'll kind of take care of all these diverse platforms in the Cloud on Prim, connect them together, so the data sharing happens. That was the biggest challenge that we have kind of solve right now. And then with Boomi coming on to our platform since a couple of years from in the past, we have matured into a place where we're going to launch a lot of things on Boomi and we are looking forward to it eagerly to consolidate all those legacy innovation platforms into the Boomi world infrastructure. So i's exciting. >> Talk about the IT landscape in your company. What's going on there? How is the structure? What are some of the environment look like? Is it transforming the roles of the people? Stacking and wrecking, is it Cloud, Hybrid, what? Talk about your environment. >> Fantastic. I think the very question getting into our pillars or what we do in IT, right? Our pillars are very simple. First thing is core services, you've got to make it--keep the lights on you've got to sure things are working fine. The next thing we adhere to is people. Who do we need to make all this happen? ITs people, acknowledged management, retain people, the best talent, get the best talent. The third pillar we have is the enabling of technology. And that's where some of us come in to enables. How do we migrate Cloud? Let's say we have a big data platform on an infrastructure, adopt infrastructure, tear down infrastructure on-prem. And you what, it's a plan's base. So the data growth, it's enormous these days. So we are talking about Cloud. We are already have plans, we already have infrastructure in Cloud that we are moving to. So if you look at it, the company's so focused not only on technology which is required to, in this day and age, to talking about data, talking about expansion, elasticity and a computing power you need, yeah, here we are with opting we'll be multicloud recipient and beneficiary, but at the same time we're also focusing on people and the core services we provide as IT. IT is technical, non-technical-- >> So you have multiple Clouds right now? >> Exactly. >> Amazon, Azure. >> Yup, we will have a multi Cloud eventually. Not that everything is online and in perfection, but our plan is to have a multi Cloud strategy going forward because the amount of things that coming to our landscape. >> You're on classic hybrid right now, you've got it all on premises. >> Yes. >> Some Cloud going on. >> Absolutely, absolutely. >> So let's talk about business transformation, digital transformation. You did a great job of articulating the business challenge, the challenges that you needed to solve. From an IT perspective, you have all the hybrid multi Cloud environment. Where did the digital transformation initiative come from? Was it the business saying, "We have so much data and desperate systems. We want to be solving more real world problems. Hi, IT, help us build the foundation that allows that." >> It's fantastic. If you look at our company, our sheer full task is digital transformation. Not just IT or COO. CEO talks about our digital transformation. So everybody, in fact, it was questioned. "Hey, we want to be digital." What does it mean to be digital? Because thing comes up. So in the landscape of ITVR, we are going to be a digital-enabled company. We're going to define what it means. To me personally, digital-enabled means, "Hey, I need to share a piece of data across the landscape, whoever needs it, whenever they need it or where they need it." That's called the digital transformation if you ask me because that enables other systems to consume it, and then provide the care and attention it needs. Be at our customers. Customers are patients. Be at our hospitals that we work with. They're our customers. Employ our customers and turn that, it could be your portal. So we are attacking it from multiple points of view. You want to make sure the technology enablement moving forward in innovation. We care for all these areas of customers where we can really digitally enable them. So focus is not just one point of digitalization, it's customers and patients. How can we give them access? How can we get the feedback? All of them fall into 360 degrees of data enablement. It's so focused and we're so thrilled to have such (mumbles) that can pay a lot of attention to all these things. I think it'll be transforming our company a big time in the next few years with the digitalization that we're looking forward to. Mobile applications. All kinds of things are coming up. >> So why Boomi? Boomi is a Cloud native platform. We saw the video and if you saw that technical keynote this morning that the first videos started up with a few minutes of all the areas in which they were first. But they took this big bet back in 2007 when they were found that they are this single instance multi technic Cloud application. What differentiated Boomi when you guys were looking for the right partner with which is standardized? >> It's interesting because we like the Cloud part. Same time being (mumbles) country and industry, they said, " I can't (mumbles) put it on the Cloud." I mean this was about four years back. Remember, things were not really stable at that time. Or people are wondering, "What? Cloud?" "Where can I put my data?" We chose the Boomi hybrid model which is awesome because it gave us the benefit of both, of material that's in Cloud, I'm taking care of anything that you need to do material, I'm taking care of my processing on site. So that key was that bang say, "Oh wow, that's a fantastic option to have. It's a (mumbles) infrastructure. People can build things faster on Prim, run your case, data cases on Prim, but you have all Cloud metadatas protecting you (mumbles) Everything is easy, (mumbles) SHA. So all those were factors when we decided to go in to Boomi. But we see among others as full. But then the speed of market, less call framework, and also the roadmap they'll have for them. That's very important for us. I mean first thing in technology I want to go for next five years, ten years. Are you welcome with me in the technology? Are you making insights as we talked about today? (laughs) I'm just paraphrasing it. But those all things matter to us. In words, mine is protected. We don't end up with some debt, right? Like they model this platforms to be up to date. So those were our key factors in moving forward with Dell Boomi. >> And so let's talk about some of the business outcomes. You've mentioned a few. But let's look at them kind of categorically. If we look at kind of this over this polarizing industry, being able to study different aspect of man diseases and identify cures for them hopefully, what are some of the business outcomes that you guys are achieving so far with them. You're a Change Agent Award winner, so give us some of those really big wins that you've seen to dates? >> How to be proactive, right? It's a game, it's a data game these days. The more data you have aboard the decision you can make, you're going to differentiate in solving problems, and mean competitive as well. We are trying to see these aspects in the data that we can collect from all places. Now once you have the data, you need some kind of integration that needs to happen to process the data, to share the data to people who need them. That's why integration comes in. Obviously there are other areas where we do big data processing. We need to have some kind of a cluster to compute them and cue some analytics for scientist to see, "Hey, I've got this data. This was inference." And now we can introduce that integration to cue them all the data that they need. What does it take? In my opinion, days and months too can infer through these files and files of data, takes less than 10 minutes for people to now infer. >> Dramatic speed of (mumbles) here. Wow, elaborate on that a little bit. >> And what happens is when you get this huge epidemiology data on the world, you've got thousands and thousands tera bytes of data. Without proper computing and the resources and the modern platform, it's tough for you to count those data to come out with some analytic that people can use. You can ask queries like, "Hey, this disease happens in this area. Tell me the percentage that is relevant to this disease in this area that I need to concentrate on solving the problem." You want to solve big problems and you want to make sure the population benefits from that. So this kind of data gives you inferences that people can research on and say, "Hey, I'm going to focus on this area. It's very predominant." And let's say Africa nation, population is almost about 3 billion, 4 billion people in the world. So let's focus on that disease that gives some traction going on. And that's how you solve the world's problem, one by one, one step at a time. I'm so happy to be involved in that kind of enablement because I'm a very very minuscule part of the whole deal because we work with scientists who are fantastic, who are biologists, who are researchers. Our act in this helps them get to what they need to do. We are completely at their service for what they need and then we just want to enable things for them, make things faster, make the hope comes for them to an R and D, to be more clearer. So that's where we come in. It's more like a service, but industry aspect within the company, but then we are fully fortunate to work for a company that cures diseases and we are part of that journey that they're going through. >> You've just articulated beautifully why you guys won in the Change Agent category. Morally that was outstanding. Congratulations on what you've achieved so far. I'm sure, I'm excited to hear next year where the business goes. We appreciate your time. >> Thanks a lot, Lisa. Nice to talk to you guys today. >> Likewise, thank you. >> For John Furrier, I'm Lisa Martin. You're watching the CUBE from Boomi World 19. (lively music)

live from Washington DC it's the cube covering booby world 19 to you by booby welcome to the cubes coverage of boomy world 2019 I'm Lisa Martin with John Fourier John it's great to be back hosting gloomy world with you in DC this year last year in Vegas this year in DC a lot of government business a lot of public sector a lot of tech for good going on in the keynotes we will be continuing to take their culture expanding this cloud mindset and service model low code data integration unified platforms boomy verts a new introduction a lot of great announcements a great company I like I'm like I like gloomy I do too the energy here is great you know Lumi world 2018 was only 11 months ago John you mentioned we were in Vegas and they have added another 1500 plus new customers now there are over nine thousand customers in 80 countries 580 partners and customers are crossing every industry I had a great opportunity to speak with about a dozen boomy customers in the last week and their Bhoomi fandom it sounds kind of silly but it's really true what they have enabled their customers to achieve like this morning we heard from American Cancer Society for example Gilead leading hotels of the world is really enabling businesses to transform yeah you know day Volante and i we started covering the big data world in 2010 when we first started the cube you know one of the things that they observe and the research was that the value was going to be created and captured by practitioners not so much the vendor selling product at that point but it was cloud computing you know the theme of Bumi is business outcomes accelerated and the big trend that's driving it is that practitioners who are launching projects of either aanchal in the cloud or on-premise premises they're the ones who are getting the value out of it so what's happening is you're seeing with the ability to start projects quickly small projects and the number of projects a company has in their digital transformation is increasing this is the mega trend and from those projects whether it's a mobile app or a SAS solution or anything it's thrown off data so what's happening is you have this trend trend of more projects with the need to get them up and running fast getting to value and that is where Bumi's kind of hit their sweet spot because they got a platform that allows people to launch projects fast small medium or large projects and get them done quickly and that's throwing off value but from the value not only is the doubling down on those projects it's the data so the unification of the data and integrating it in it really kind of is Nirvana for a business owner a developer or an application because the platform allows that to happen and that's where this new world of Cloud 2.0 is kind of hitting its stride right now and that's why companies are getting the profitability and the old model of you know get growth at all costs and losses like we see on the public markets we work in other unicorns they're just investing to take territory and the profits aren't there because they're not enabling those kinds of outcomes so I think Bumi's in a nice spot I think is a nice portfolio for Dell to have this company I think this is gonna be the next pivotal I think what pivotal did with JAL technologies was a big part of their growth I think that and they were very successful in public then they ended up getting bought back by VMware and Dell technologies I think Bumi's the next rising star in the Dell technologies portfolio they won't say that publicly they won't say it on the record they won't even admit it privately but that's kind of what's going on well when we were at Dell technology's world Jon covering the cube with two sets for three days Michael talked about Michael Dell talked about Bumi as the number one cloud integration platform and as the iPad market has evolved in the last ten years you know it's gone from needing to connect cloud to on-prem unprimed edge and Bumi's uniquely positioned as this single instance multi-tenant cloud application delivered as a service and as Chris McNab CEO of Bhumi says who will be on momentarily with us our unfair advantage is our customers and the customers are all leveraging the platforms we just talked about the outcomes with the projects but here's the other advantage that bloomie has they have a anonymized data model where they get the benefit of the collective customer base so the collective data can give them better insights and companies that are successful that have gone public recently coppa software and others these guys are using the data create more advantage for their customers again this is one of those again nuance points but that's where the value is the value is in the day to date is the new software and this is where the advantage is interesting Michael Dell is interested in Bhumi I asked him around 2014 you know outside of VMware the crown jewel of Dell I said what are you interested in and he said pivotal and he was geeking out on pivotal because he saw the value of pivotal last year I asked Michael Dell what do you want sitting down and he said Bhumi I think he sees Bhumi as a key element in that bringing the glue together for the overall dealt with technology platform well there's a great story how when Dell was acquiring many companies not too long ago Gumi was really the center of that universe for facilitating these integrations you talk about data we talk about it John at every show customers do as well whether you're calling it the new oil gold the lifeblood currency of an organization if it is siloed in hundreds of applications and a business cannot trust where's my single source of truth its value cannot be harnessed and one of the things Bhoomi does really well with master data hub is to allow I think they said there they can connect now with over 1500 endpoints like Salesforce NetSuite for example allowing customers to synchronize data between applications dramatically transforming everything from customer our employee onboarding to a call center experience yeah I mean I think the digital transformation is a topic that's been talking about ad nauseam it's been kicked around become a cliche but we look at digital transformation it's people process and technologies and the process and technology side people have good visibility and what the options are out they get cloud you've got on-premise got a lot of software software-defined stuff but the people equation is interesting we were just at Red Hat's ansible Fest last week and in the automation space on the DevOps side the people are actually getting the outcomes that they need and that value piece and we were talking about that's the third leg of the stool of digital transformation so Dell tech Gee's has boomy which hits that spot directly the people here are achieving their outcomes that they want in their projects they're getting that value that energizes the people component and helps the cultural shift on digital transformation so I think the people aspect of what boom he's doing is super critical that is the the final chapter of digital transformation people process technology processes are up being automated the technology's there it's the people equation and they're doing it you're right they are doing it and that's hard a number of customers have Bumi's that I spoke with yesterday I talked about one of the main I always say to customers what were the business differentiators what were the technical differentiators and a lot of them will talk about Bumi's cultural alignment with their own culture as really standing out considerably against their peers you and I were talking before we went live about just the atmosphere in the keynote sort of some of the the tongue-in-cheek they are really people helping other people and you get that feeling but customers are talking as well about dramatic transformations to their productivity that they actually didn't even expect to get when they said we need to integrate a sales force with a transport management system for example and whoa suddenly we are saving whatever it's X number of clicks that really starts to snowball in terms of hours saved per person per month per year yeah I think what's interesting from the keynote today is there it builds on last year's boomy where we asked Chris port the CE OS variety and the CEO as well what their what their strategy was what they're investing in they said we're investing in the product and they continue to invest in the product and now with AI and The Voice integration voice enabled our voice accessible data sets you're starting to see that integration piece go another level I think that's interesting that sets the table for the AI stuff that they're doing and I think that's gonna be again leveraging that unified data set that to me is a big deal I think that's the top story here is that you starting to see a product focus using the data having those data integration points with voice and other mediums and if they can get that right then that's a nice automation layer that's gonna be where the next level of value for bloom he's gonna be created you know and their challenge is their small team they hired 750 people in q2 of this year they're hiring more people so can they kind of keep the rocket ship going on the customer growth and again it's a SAS business model it's a unified data set so I like this I like their their fundamentals so you talk about AI and one of the big announcements came out this morning that Chris McNabb CEO talked about with Accenture is what they're doing to partner together to enable conversational AI and one of the women from eccentric who was on stage will be joining us later today and I loved how she and Chris we're talking about you know we all interact with AI whether we're calling an ISP or some sort of call center and you're screaming agent into the phone because it's really starting to frustrate you one of the things that I had a mind shift on earlier this year while covering a show for the cube was hey that's actually our opportunity as regular folks on the street to help the models learn and train and what they showed today on that fun demo was how they're actually talking to be the boom I bought about looking at you know for example employee onboarding what percent complete is that what needs to be done and how can I actually use voice recognition to get other processes within the organization across business units done I do though think what about somebody like Meryl Streep who can do all these different accents when conversational AI comes up and it's gonna recognize your voices the footprint that was one thing I thought about these people that you know that have great ability to mimic accents gonna do well and they're as big as Amazon they can get the celebrities Amazon just kept Alexa as now the voices from celebrities I think it's pretty cool I think one of the things that I think is important to talk about in this keynote was the key my key takeaway was they hit the core themes unified data set which is their value multi-cloud global customers ecosystem partners low code developer environments are changing and developing fast and data integration this is the key areas of topics and what they announced here on stage was the voice accessible data services that secure and scalable more low code conversations projects are being deployed faster and this transformation journey and I think if I look at blew me outside of those strengths I just mentioned I think they're challenged lisa is going to be can they foster the ecosystem can they build those blocking and tackling things that they need to get done in the marketplace on the go to market how see the customer growth is there can they develop that ecosystem once that ecosystem is developed then you're gonna see more more action there but it's still small then they got to do some more work I think the momentum is there and we should definitely point out that we are in DC which is symbolic for a be me just a few weeks ago in August they announced FedRAMP authorization they are one of not the first but one of the first iPad vendors in the a in the FedRAMP marketplace but something that that Chris McNabb and look at my notes here said this morning was they were the first iPads vendor to get certified in five months and their competitor I have a feeling I know who it is took 18 months so they're proud of that that really but he also said in something that we can unpack with Chris McNabb a little bit later today is that the federal certification the availability in the marketplace opens up even more opportunities not just for federal from a security from a privacy perspective yeah this is a big this is a big story I think this is gonna be a subtext because they're well they're another announcements but that FedRAMP certification in record time as you pointed out it's significant for a couple of reasons we've been following the government transformation since the CIA deal of AWS and the recent jedi contract which we've been talking a lot about really points to the modernization of the government and the procurement and the government is going through its own transformation and the ones that are being successful the ones that have all the attributes that boom he has cloud-based unified data sets security built in these are the fast track to the modern infrastructure that's what the government's doing so I'm expecting a lot of DC business I think it's kind of not a flu that they're in DC here for a reason they're here to do some business they're doing work with the veterans they're doing work with American Cancer Society other things but the government I think they're gonna do a lot of government business because once they get that certification that's going to open up a ton of business and we've seen the government is leaning towards modern architectures not the old-school Oracle's of the world so you know that is definitely changing and I think they're in a good position you brought up American Cancer Society and veterans two things that we're nearing dear to my heart and it was great see one how boomy is working with American Cancer Society their CIO was on stage he will be joining you and I this afternoon about how they are leveraging Bhumi for I think they call it service match to match cancer patients with uber and lyft drivers to get people to their treatment in back and how that was enabled by Bhumi I just thought was was the story that will resonate with every single person regardless of where you live what industry that you're in that's transformative and that's such a service that is so critical well that's that points to the validation of the trend we were just talking about that at the beginning was the trend about getting projects off the ground isn't about some IT department it could come from someone who sees an opportunity to solve a problem in the business or their mission in this case your example this is huge because the time to value is faster so it's not an IT lead thing it's a business or mission driven outcome so throwing an app together and and mashing up you know GPS and other things to provide value that's where the action is that's why there's so much action in cloud that's why boom he's doing so well because they're hitting that mark right there doesn't it's not hard to do you know time to value can be one of those as a marketer how do you actually measure that but we're seeing roles exactly it works seeing that in so many different use cases of themI in so many different industries whether it's American Cancer Society or Sky powering Internet and services for customers elisa listen this is this is a big thing that people always whitewash and they try to hide the ball on and we're now living in a transparent era of a modern infrastructure and these applications you cannot hide the ball on success it's either has value or a dozen as valuating throwing off revenue because people pay for value and if it's being used from a mission standpoint that's undeniable so what's happening now is that the new kpi's our success can be defined and you you haven't helped KPIs and dashboards and say hey are people paying for it boom top-line revenue bottom line profit usage on apps so there's no more you know people fudging the numbers or trying to hide the ball on whether a project was successful that this is a gonna change the landscape significantly it is and we're gonna unpack all of that today John we've got a whole bunch of the booming on today some partners and some customers as well so guys stick with us John and I have a grateful day packed Lisa Martin with John Fourier you're watching the cube from booming world 19