(gentle music) >> Hey! Welcome back to theCUBE's coverage of WiDS 2023, the eighth Annual Women In Data Science Conference. I'm your host, Lisa Martin. We are at Stanford University, as you know we are every year, having some wonderful conversations with some very inspiring women and men in data science and technical roles. I'm very pleased to introduce Tracy Zhang, my co-host, who is in the Data Journalism program at Stanford. And Tracy and I are pleased to welcome our next guest, Rhonda Crate, Principal Data Scientist at Boeing. Great to have you on the program, Rhonda. >> Tracy: Welcome. >> Hey, thanks for having me. >> Were you always interested in data science or STEM from the time you were young? >> No, actually. I was always interested in archeology and anthropology. >> That's right, we were talking about that, anthropology. Interesting. >> We saw the anthropology background, not even a bachelor's degree, but also a master's degree in anthropology. >> So you were committed for a while. >> I was, I was. I actually started college as a fine arts major, but I always wanted to be an archeologist. So at the last minute, 11 credits in, left to switch to anthropology. And then when I did my master's, I focused a little bit more on quantitative research methods and then I got my Stat Degree. >> Interesting. Talk about some of the data science projects that you're working on. When I think of Boeing, I always think of aircraft. But you are doing a lot of really cool things in IT, data analytics. Talk about some of those intriguing data science projects that you're working on. >> Yeah. So when I first started at Boeing, I worked in information technology and data analytics. And Boeing, at the time, had cored up data science in there. And so we worked as a function across the enterprise working on anything from shared services to user experience in IT products, to airplane programs. So, it has a wide range. I worked on environment health and safety projects for a long time as well. So looking at ergonomics and how people actually put parts onto airplanes, along with things like scheduling and production line, part failures, software testing. Yeah, there's a wide spectrum of things. >> But I think that's so fantastic. We've been talking, Tracy, today about just what we often see at WiDS, which is this breadth of diversity in people's background. You talked about anthropology, archeology, you're doing data science. But also all of the different opportunities that you've had at Boeing. To see so many facets of that organization. I always think that breadth of thought diversity can be hugely impactful. >> Yeah. So I will say my anthropology degree has actually worked to my benefit. I'm a huge proponent of integrating liberal arts and sciences together. And it actually helps me. I'm in the Technical Fellowship program at Boeing, so we have different career paths. So you can go into management, you can be a regular employee, or you can go into the Fellowship program. So right now I'm an Associate Technical Fellow. And part of how I got into the Fellowship program was that diversity in my background, what made me different, what made me stand out on projects. Even applying a human aspect to things like ergonomics, as silly as that sounds, but how does a person actually interact in the space along with, here are the actual measurements coming off of whatever system it is that you're working on. So, I think there's a lot of opportunities, especially in safety as well, which is a big initiative for Boeing right now, as you can imagine. >> Tracy: Yeah, definitely. >> I can't go into too specifics. >> No, 'cause we were like, I think a theme for today that kind of we brought up in in all of our talk is how data is about people, how data is about how people understand the world and how these data can make impact on people's lives. So yeah, I think it's great that you brought this up, and I'm very happy that your anthropology background can tap into that and help in your day-to-day data work too. >> Yeah. And currently, right now, I actually switched over to Strategic Workforce Planning. So it's more how we understand our workforce, how we work towards retaining the talent, how do we get the right talent in our space, and making sure overall that we offer a culture and work environment that is great for our employees to come to. >> That culture is so important. You know, I was looking at some anitab.org stats from 2022 and you know, we always talk about the number of women in technical roles. For a long time it's been hovering around that 25% range. The data from anitab.org showed from '22, it's now 27.6%. So, a little increase. But one of the biggest challenges still, and Tracy and I and our other co-host, Hannah, have been talking about this, is attrition. Attrition more than doubled last year. What are some of the things that Boeing is doing on the retention side, because that is so important especially as, you know, there's this pipeline leakage of women leaving technical roles. Tell us about what Boeing's, how they're invested. >> Yeah, sure. We actually have a publicly available Global Diversity Report that anybody can go and look at and see our statistics for our organization. Right now, off the top of my head, I think we're hovering at about 24% in the US for women in our company. It has been a male majority company for many years. We've invested heavily in increasing the number of women in roles. One interesting thing about this year that came out is that even though with the great resignation and those types of things, the attrition level between men and women were actually pretty close to being equal, which is like the first time in our history. Usually it tends on more women leaving. >> Lisa: That's a good sign. >> Right. >> Yes, that's a good sign. >> And we've actually focused on hiring and bringing in more women and diversity in our company. >> Yeah, some of the stats too from anitab.org talked about the increase, and I have to scroll back and find my notes, the increase in 51% more women being hired in 2022 than 2021 for technical roles. So the data, pun intended, is showing us. I mean, the data is there to show the impact that having females in executive leadership positions make from a revenue perspective. >> Tracy: Definitely. >> Companies are more profitable when there's women at the head, or at least in senior leadership roles. But we're seeing some positive trends, especially in terms of representation of women technologists. One of the things though that I found interesting, and I'm curious to get your thoughts on this, Rhonda, is that the representation of women technologists is growing in all areas, except interns. >> Rhonda: Hmm. >> So I think, we've got to go downstream. You teach, I have to go back to my notes on you, did my due diligence, R programming classes through Boeings Ed Wells program, this is for WSU College of Arts and Sciences, talk about what you teach and how do you think that intern kind of glut could be solved? >> Yeah. So, they're actually two separate programs. So I teach a data analytics course at Washington State University as an Adjunct Professor. And then the Ed Wells program is a SPEEA, which is an Aerospace Union, focused on bringing up more technology and skills to the actual workforce itself. So it's kind of a couple different audiences. One is more seasoned employees, right? The other one is our undergraduates. I teach a Capstone class, so it's a great way to introduce students to what it's actually like to work on an industry project. We partner with Google and Microsoft and Boeing on those. The idea is also that maybe those companies have openings for the students when they're done. Since it's Senior Capstone, there's not a lot of opportunities for internships. But the opportunities to actually get hired increase a little bit. In regards to Boeing, we've actually invested a lot in hiring more women interns. I think the number was 40%, but you'd have to double check. >> Lisa: That's great, that's fantastic. >> Tracy: That's way above average, I think. >> That's a good point. Yeah, it is above average. >> Double check on that. That's all from my memory. >> Is this your first WiDS, or have you been before? >> I did virtually last year. >> Okay. One of the things that I love, I love covering this event every year. theCUBE's been covering it since it's inception in 2015. But it's just the inspiration, the vibe here at Stanford is so positive. WiDS is a movement. It's not an initiative, an organization. There are going to be, I think annually this year, there will be 200 different events. Obviously today we're live on International Women's Day. 60 plus countries, 100,000 plus people involved. So, this is such a positive environment for women and men, because we need everybody, underrepresented minorities, to be able to understand the implication that data has across our lives. If we think about stripping away titles in industries, everybody is a consumer, not everybody, most of mobile devices. And we have this expectation, I was in Barcelona last week at a Mobile World Congress, we have this expectation that we're going to be connected 24/7. I can get whatever I want wherever I am in the world, and that's all data driven. And the average person that isn't involved in data science wouldn't understand that. At the same time, they have expectations that depend on organizations like Boeing being data driven so that they can get that experience that they expect in their consumer lives in any aspect of their lives. And that's one of the things I find so interesting and inspiring about data science. What are some of the things that keep you motivated to continue pursuing this? >> Yeah I will say along those lines, I think it's great to invest in K-12 programs for Data Literacy. I know one of my mentors and directors of the Data Analytics program, Dr. Nairanjana Dasgupta, we're really familiar with each other. So, she runs a WSU program for K-12 Data Literacy. It's also something that we strive for at Boeing, and we have an internal Data Literacy program because, believe it or not, most people are in business. And there's a lot of disconnect between interpreting and understanding data. For me, what kind of drives me to continue data science is that connection between people and data and how we use it to improve our world, which is partly why I work at Boeing too 'cause I feel that they produce products that people need like satellites and airplanes, >> Absolutely. >> and everything. >> Well, it's tangible, it's relatable. We can understand it. Can you do me a quick favor and define data literacy for anyone that might not understand what that means? >> Yeah, so it's just being able to understand elements of data, whether that's a bar chart or even in a sentence, like how to read a statistic and interpret a statistic in a sentence, for example. >> Very cool. >> Yeah. And sounds like Boeing's doing a great job in these programs, and also trying to hire more women. So yeah, I wanted to ask, do you think there's something that Boeing needs to work on? Or where do you see yourself working on say the next five years? >> Yeah, I think as a company, we always think that there's always room for improvement. >> It never, never stops. >> Tracy: Definitely. (laughs) >> I know workforce strategy is an area that they're currently really heavily investing in, along with safety. How do we build safer products for people? How do we help inform the public about things like Covid transmission in airports? For example, we had the Confident Traveler Initiative which was a big push that we had, and we had to be able to inform people about data models around Covid, right? So yeah, I would say our future is more about an investment in our people and in our culture from my perspective >> That's so important. One of the hardest things to change especially for a legacy organization like Boeing, is culture. You know, when I talk with CEO's or CIO's or COO's about what's your company's vision, what's your strategy? Especially those companies that are on that digital journey that have no choice these days. Everybody expects to have a digital experience, whether you're transacting an an Uber ride, you're buying groceries, or you're traveling by air. That culture sounds like Boeing is really focused on that. And that's impressive because that's one of the hardest things to morph and mold, but it's so essential. You know, as we look around the room here at WiDS it's obviously mostly females, but we're talking about women, underrepresented minorities. We're talking about men as well who are mentors and sponsors to us. I'd love to get your advice to your younger self. What would you tell yourself in terms of where you are now to become a leader in the technology field? >> Yeah, I mean, it's kind of an interesting question because I always try to think, live with no regrets to an extent. >> Lisa: I like that. >> But, there's lots of failures along the way. (Tracy laughing) I don't know if I would tell myself anything different because honestly, if I did, I wouldn't be where I am. >> Lisa: Good for you. >> I started out in fine arts, and I didn't end up there. >> That's good. >> Such a good point, yeah. >> We've been talking about that and I find that a lot at events like WiDS, is women have these zigzaggy patterns. I studied biology, I have a master's in molecular biology, I'm in media and marketing. We talked about transportable skills. There's a case I made many years ago when I got into tech about, well in science you learn the art of interpreting esoteric data and creating a story from it. And that's a transportable skill. But I always say, you mentioned failure, I always say failure is not a bad F word. It allows us to kind of zig and zag and learn along the way. And I think that really fosters thought diversity. And in data science, that is one of the things we absolutely need to have is that diversity and thought. You know, we talk about AI models being biased, we need the data and we need the diverse brains to help ensure that the biases are identified, extracted, and removed. Speaking of AI, I've been geeking out with ChatGPT. So, I'm on it yesterday and I ask it, "What's hot in data science?" And I was like, is it going to get that? What's hot? And it did it, it came back with trends. I think if I ask anything, "What's hot?", I should be to Paris Hilton, but I didn't. And so I was geeking out. One of the things I learned recently that I thought was so super cool is the CTO of OpenAI is a woman, Mira Murati, which I didn't know until over the weekend. Because I always think if I had to name top females in tech, who would they be? And I always default to Sheryl Sandberg, Carly Fiorina, Susan Wojcicki running YouTube. Who are some of the people in your history, in your current, that are really inspiring to you? Men, women, indifferent. >> Sure. I think Boeing is one of the companies where you actually do see a lot of women in leadership roles. I think we're one of the top companies with a number of women executives, actually. Susan Doniz, who's our Chief Information Officer, I believe she's actually slotted to speak at a WiDS event come fall. >> Lisa: Cool. >> So that will be exciting. Susan's actually relatively newer to Boeing in some ways. A Boeing time skill is like three years is still kind of new. (laughs) But she's been around for a while and she's done a lot of inspiring things, I think, for women in the organization. She does a lot with Latino communities and things like that as well. For me personally, you know, when I started at Boeing Ahmad Yaghoobi was one of my mentors and my Technical Lead. He came from Iran during a lot of hard times in the 1980s. His brother actually wrote a memoir, (laughs) which is just a fun, interesting fact. >> Tracy: Oh my God! >> Lisa: Wow! >> And so, I kind of gravitate to people that I can learn from that's not in my sphere, that might make me uncomfortable. >> And you probably don't even think about how many people you're influencing along the way. >> No. >> We just keep going and learning from our mentors and probably lose sight of, "I wonder how many people actually admire me?" And I'm sure there are many that admire you, Rhonda, for what you've done, going from anthropology to archeology. You mentioned before we went live you were really interested in photography. Keep going and really gathering all that breadth 'cause it's only making you more inspiring to people like us. >> Exactly. >> We thank you so much for joining us on the program and sharing a little bit about you and what brought you to WiDS. Thank you so much, Rhonda. >> Yeah, thank you. >> Tracy: Thank you so much for being here. >> Lisa: Yeah. >> Alright. >> For our guests, and for Tracy Zhang, this is Lisa Martin live at Stanford University covering the eighth Annual Women In Data Science Conference. Stick around. Next guest will be here in just a second. (gentle music)

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

from Boston Massachusetts it's the cube covering wtg transform 2018 brought to you by Winslow technology group welcome back I'm Stu minimun and this is the cube coverage of wdg transform 2018 I'm happy to welcome back to the program probably an interesting who's come all the way from Boston University he said three blocks away about three blocks why yes all right Brian's the director of College of Arts and Sciences information technology great to see you again thank you all right back so good news is we spoke it was just about a year ago it was August last year it's June this year I'm sure nothing's changed in your environment you know students never change technology never changes there's a little bit of change on your end a little bit a little bit last year we'd spoke of quite a bit about hyperconvergence and what's that's gonna mean in terms of Education and how we deliver that and what the experience could be like for these students and I think at this point we're satisfied with everything that Nutanix has brought to us we've deployed VDI and a couple of large deployments for whole bunch of classes so we decided to reassess and reevaluate work what we're doing this year and now we move on to application development that's great so we get many ways they say you need to modernize your platform and then once you do that we can look at what the long haul 210 which is really at the application side right exactly once we knew what we had what we could possibly do with it we decided to move forward and figure out what else can we change and we had a lot of legacy applications for the business and so this past year we hired a developer who's focusing solely on docker izing our applications so we're deploying docker and a whole bunch of applications within the college and then we're going to be doing kubernetes deployment later this year ok and let's be clear where does this live you know is this on the Nutanix platform is it in you know service riders public clouds where does this span because kubernetes can live in all of those environments in the containerized stuff at Casa and currently it's all contained within a handful of VMs within our Nutanix server environment ok we're planning on looking at calm and use using natural blueprints to deploy kubernetes and docker down the road ok so I've got the Nutanix platform what hypervisor am i using HP ok so using the HP using which of courses Newt annexes comes on on the platform and then you know in the VMS you're using containers we are um have you looked at bare metal um you know because that's one of the discussions is like well if I'm doing containers you know do I just do that on Linux on bare metal or do I do it virtual is a virtualized and there's there's pluses and minuses for each of those we did a few of the pluses that my sis had means really enjoy is when our developer is going to go crazy and do new things we can make snapshot so if he happens to do something to the environment we can restore it in ten minutes and I think as far as my developer is concerned he doesn't want to have to rebuild the environment every time he makes a mistake he's had a few close calls so far and having HP and the ability to snapshot restore it's been awesome for him okay what insight can you give us about what you know what sort of applications are they building and you said Dockers in two minute Kruger burn Eddie's you know are they building their own stack are they leveraging you know how are they getting to that state well we're taking some business apps that were focusing on both student and faculty applications dealing with various components of each and he's pulling them apart to figure out what components go into the docker containers what do we have to still reside in VMs for security and long-term use and try to figure out how to reimagine the application stack to move forward we're starting to look at reusing components that he's developing and I'm hoping that we have a lot of pieces that we can do that with so we have a lot of applications to rewrite okay and just to drill in a little bit because I've got we've got a team of the cube that's gonna be at docker con next week I've been go to the kubernetes show for a while so when you say docker are you using just the free containers which is now called mobi or using the dr. CEO as part of that I actually can't tell you that because that's miss all my developers work I did so they're using docker as you said it's like the Kleenex and do you know from kubernetes standpoint have they just built their own do you have a distribution or a platform that you just do Tanic we just downloaded the distro from kubernetes instead of a small cluster himself we're going to be looking at using calm to do a deployment on their channels natively okay really interesting stuff what what is you know you talked a bit about you know you can give a little bit of stability and recovery and things like that for your developers to be able to play in that sandbox is what gives us a little bit of the roadmap as to you know how long do they play with this and then you know how does this roll out for the university so we're looking at probably a three to six month development cycle on a lot of new applications right now part of my developers job is to try to figure out how this environments going to work my sis admins are deeply engaged with him but since most of doctrine kubernetes is developed with faced he has to do most of the legwork and figure out how it's all gonna work and so we're hoping to leverage Nutanix to have multiple environments all with the same back-end so we have dev tests and production all in the same hardware but different pieces of actually physical clusters that'll be separated so he doesn't mess around the production all too much but set up a baseline that we can use to short that development cycle even further yeah one of the things we always look at is right you've got your developers doing their thing how does that fit with the operation side is it DevOps even I interviewed Solomon hikes last year that was the founder of docker and he said actually it was an operation mindset that I had when I created this container format how are you seeing it's actually great you're all working together you're you're in discussion there do you have a DevOps rollout and what you're doing or you do you keep it separate I still keep them somewhat separate but my administrators are writing a little bit more code and scripting than they used to and I think in general that's going to be the in the entire industry where you can't just look at and have your developer do everything in docker and not understand how it works Brian talk to us about your partners for doing this how involved are the likes of Nutanix and Winslet technology and you know in Dell in this discussion of the containers agent and your developers Nutanix we've been utilizing a lot of documentation and we're gonna be leveraging them a lot when we start to look at com Winslow's we haven't really talked to them about it to be honest we probably should because they might have some ideas and other partners we can talk to Dell in it there's really just a hardware to run everything on that's stable we don't have to worry about it I'm so happy with that yeah that's not in any you know oh I don't need to worry about them there's certain pieces we always look at and I'd love your feedback on this if you know when we virtualized first and now even when we containerize how much don't I need to worry about the infrastructure I mean remember back you know 15 years ago it's like oh I'll virtualized that well have you checked the BIOS because the BIOS might not work and the server could break things the OS could cause problem you know virtualization relatively stable these days how are you finding the container stuff it's really interesting and very very unique to virtualize a virtualized environment even further it's it's kind of mind-blowing just I've been doing this for twenty years and this is much further than I've ever expected the industry to go oh yeah just wait and it's you go even further than kubernetes it's like wait is it on top of underneath or side by side with the technologies you're doing from a Cooper nettie standpoint you said today it's all in the note annex what's the value of kubernetes for you is it just kind of the cluster orchestration of containers or you know are you is its portability a piece even part of the concern that you look at there oh it's it's mostly from portability part of the applications that we're looking at down the road are going to be vertical applications especially some student facing ones and certain times of the year we're gonna have to go from maybe a hundred people logged in to several thousand at the same time so we're hoping to stand up something that we can easily move to a cloud provider and still work the same way that we're expecting it to and so I think kubernetes along with the orchestration internally on-prem it's gonna be a huge benefit for us to know the environment it's gonna be exactly the same when we move it to Amazon or Google or adder all right so so Brian you're still kind of in the thick of it here but from what you've learned so far any any learnings or things that you'd recommend to your peers that oh wait if I could turn back the clock three months I might have adjusted or pointed things in a different direction yes yeah well when our developer started he focused more on getting an application up and running before starting to learn docker I would encourage anybody that's just starting down the road get your developer learning doctor and kubernetes first because they might want to rewrite what they're doing in the application okay well Brian this has been fascinating want to give you the final word is that you look out through the rest of the year so it's a lot you know so far since last time we talked but by the time we come around next year you'll be all serverless and you know deploying things off side the globe I'm assuming but I have no idea if you told me your ago that we're gonna be doing what we're doing now I wouldn't believe you it's it's a fantastic journey it's it's amazing what we learn every day all right well Brian appreciate you sharing some of the learnings as we go it's one of the reasons we come to events like this I know yourself to talk to your peers here what's going out thank you for moving forward with thank you all right plus more coverage here at wtg transform 2018 I'm Stu minimun and thanks for watching the Q

>> Narrator: Live from Las Vegas, it's the Cube, covering VMWorld 2017. Brought to you by VMWare and its ecosystem partners. (bright music) >> Hi, I'm Stu Miniman with the Cube, here with my guest host, Justin Warren. Happy to have a returning Cube alum, but in a different role then we had. It's been a few years. Tal Klein, who is the author of The Punch Escrow. >> Au-tor, please. No, I'm just kidding. (laughing) Tal, thanks so much for joining us. It's great for you to be able to find time to hang out with the tech geeks rather than all the Hollywood people that you've been with recently. (laughing) >> You guys are more interesting. (laughing) >> Well thank you for saying that. So last time we interviewed you, you were working for a sizable tech company. You were talking about things like, you know, virtualization, everything like that. Your Twitter handle's VirtualTal. So how does a guy like that become not only an author but an author that's been optioned for a movie, which those of us that, you know, are geeks and everything are looking at, as a matter of fact, Pac Elsiger this morning said, "we are seeing science fiction become science fact." >> That's right. >> Stu: So tell us a little of the journey. >> Yeah, cool, I hope you read the book. (laughing) I don't know, the journey is really about marketing, right? Cause a lot of times when we talk about virtual, like, in fact last time I was on the Cube, we were talking about the idea that desktops could be virtual. Cause back then it was still this, you know, almost hypothetical notion, like could desktops be virtual, and so today, you know, so much of our life is virtual. So much of the things that we do are not actually direct. I was watching this great video by Apple's new augmented reality product, where you sit in the restaurant and you look at it with your iPad, and it's your plate, and you can just shift the menu items, and you see the menu items on your plate in the context of the restaurant and your seat and the person you're sitting across from. So I think the future is now. >> Yeah, it reminds of, you know, the movie Wall-E, the animated one. We're all going to be sitting in chairs with our devices or Ready Player One, you know, very popular sci-fi book that's being done by Speilberg, I believe. >> Yes, yeah, very exciting. >> Tell us a little bit about your book, you know, we talked, when I was younger and used to read a lot of sci-fi, it was like, what stuff had they done 50 years ago that now's reality, and what stuff had they predicted, like, you know, we're going to go away from currency and go digital currency, and it's like we're almost there. But we still don't have flying cars. >> Yeah, we're, I mean, the main problem with flying cars is that we need pilots. And I think actually we're very close to flying cars, cause once we have self-driving vehicles and we no longer need to worry about it being a person behind the joystick, then we're in really good shape. That's really the issue, you know, the problem with flying cars is that we are so incompetent at driving and or flying. That's not our core competency, so let's just put things that do understand how to make those things happen and eliminate us from the equation. >> Everything is a people problem. >> Yeah, so when I wrote the book, Punch Escrow, Punch Escrow, (laughing) when I wrote the book, I really thought about all the things that I read growing up in science fiction, you know, things like teleportation, things like nanotechnology, things like digital currency, you know, how do we make those, how do we present those in a viable way that doesn't seem too science fictiony. Like one of the things I really get when people read the book is it feels really near-future, even though it's set like 100 plus years in the future, all the concepts in it feel very pragmatic or within reach, you know? >> Yeah, absolutely. It's interesting, we look at, you know, what things happen in a couple of years and what things take a long time. So artificial intelligence, machine learning, it's not like these are new concepts, you know? I read a great book by, you know, it was Isaacson, The Innovators. You go back to like Aida Lovelace, and the idea of what a machine or computer would be able to do. So 100 years from now, what's real, what's not real? We still all have jobs or something? >> We have jobs but different. Remember, I don't know if you're a historian, but back in the industrial age, there was a whole bunch of people screaming doom and gloom. In fact, if we go way back to the age of the Luddites, who just hated machines of any kind. I think that in general, we don't like, you know, we're scared of change. So I do think a lot of the jobs that exist today are going to be done by machines or code. That doesn't mean the jobs are going away. It means jobs are changing. A lot of the jobs that people have today didn't exist in the industrial age. So I think that we have to accept that we are going to be pragmatic enough to accept the fact that humans will continue to evolve as the infrastructure powering our world evolves, you know? We talk about living in the age of the quantified self, right? There's a whole bunch that we don't understand how to do yet. For example, I can think of a whole industry that tethers my FitBit to my nutrition. You know, like there's so much opportunity that for us to say, oh that's going to be the end of jobs, or the end of innovation or the end of capitalism, is insane. I think this just ushers in a whole new age of opportunity. And that's me, I'm just an optimist that way, you know. >> So the Luddites did famously try to destroy the machines. But the thing is, the Luddites weren't wrong. They did lose their jobs. So what about the people whose jobs are replaced, as you say net new, there's a net new number of jobs. But specific individuals, like people who manufacture cars for example, lose their jobs because a robot can do that job safer and better and faster than a human can do it. So what do we do with those humans? Because how do we get people to have new jobs and retrain themselves? >> I address some of these notions in the book. For example, one of the weird things that we're suffering from is the lack of welders in society today, cause welding has become this weird thing that we don't think we need people for, so people don't really get trained up in it because, you know, machines do a lot of welding but there's actually specialty welding that machines can't do. So I think the people who are really good at the things that they do will continue to have careers. I think their careers will become more niche. Therefore they'll be able to create, to demand a higher wage for it because almost like a carpenter, you know, a specialist carpenter will be able to earn a much higher wage today by having fewer customers who want really custom carpentry versus things that can be carved up by a machine. So I think what we end up seeing is that it's not that those jobs go away. It's they become more specialized. People still want Rolls Royces. People still want McLarens. Those are not done by machines. Those are hand-made, you know? >> That's an interesting point, so the value of something being hand-made becomes, instead of it being a worse product, it's actually- >> Tal: That's a big concept in the book. >> Oh okay, right. >> A big concept in the book is that we place a lot of value on the uniqueness of an object. And that parlays in multiple ways. So one of the examples that I use in the book is the value of a Big Mac actually coming from McDonald's. Like, you can make a Big Mac. We know the recipe for a Big Mac. But there is a weird sort of nacent value to getting a Big Mac from McDonald's. It's something in our brain that clicks that tethers it to an originality. Diamonds, another really good example. Or you know, we know there's synthetic diamonds. We still want the ones that get mined in the cave. Why? We don't know. Right, they're just special. >> Because De Beers still has really good marketing. (laughing) >> So I think there's- >> That's interesting, so the concept of uniqueness, which again comes to scarcity and so on. As an author, someone who is no doubt, signed a lot of his book, that means that that book is unique because it's signed by the author, unlike something which is mass produced and there is hopefully thousands and thousands of copies that you sell. >> Going into this, I actually thought about that a lot. And that's why I've created like multiple editions of the book. So like the first 500 people who pre-ordered it, they get like a special edition of the book that's like stamped and all this kind of stuff. I even used different pens. (laughs) I appreciate that because I'm also a collector. I collect music, I collect books. And you know, so I see those aspects in myself. So I know what I value about them, you know? >> And the crossover between music and books is interesting. So as someone who has a musical background, I know that there's a lot of musicians who'll come out with special editions, and you know, because this is an age where we can download it. You can download the book. Do you think there is something, is there something that is intrinsic to having a physical object in a virtual world? >> I think to our generation, yes. I'm not so sure about millennials, when they grow up. But there are, for example, I'm going to see U2 next week, I'm very lucky to see that. But part of the U2 buying experience, to get access to the presale, you need to be part of their fan club. To be a part of their fan club, you need to get, you get like a whole bunch of limited edition posters, limited edition vinyl, and all this kind of stuff. So there's an experience. It's no longer just about going to see U2 at a concert. There's like the entire package of you being a special U2 fan. And they surround it with uniqueness. It's not necessarily limited, but there's an enhanced experience that can't just be, it's not just about you having a ticket to a single concert. >> Justin: Yeah, okay. >> I'm curious, the genre, if you'd call it, is hard science fiction. >> Yes. >> The challenge with that is, you know, what is an extension of what we're doing, and what is fiction? And people probably poke at that. Have you had any interesting experience, things like that? I mean, I've listened to a lot of stuff like Andy Weir, like let the community give feedback before he created the final The Martian. (laughing) But so yeah, what's it like, cause we can, the geeks can be really harsh. >> Yes, I've learned from my Reddit experience that, so what's really funny about it is the first draft of this novel was hard as nails. It was crazy. And my publisher read it, and it would have made all the hard science fiction guys super happy. My publisher read it, he was like, you've written a really great hard science fiction book, and all five people who read it are going to love it. (laughing) You know, but like, I came here with my buddy Danny. He couldn't even get through the first three pages of it. He's like, he wanted to read it. So part of working through the editorial process is saying, look, I care a lot about the science because one of my deep goals is to write a STEM-oriented book that gets people excited about technology and present the future as not a dystopian place. And so I wanted the science to be there and have a sort of gravity to the narrative. But yeah, it's tough. I worked with a physicist, a biologist, a geneticist, an anthropologist, and a lawyer. (laughs) Just to try to figure out, how do we carve out, you know, what does the future look like, what does the evolution of each individual sciences, we talked about the mosquitoes, right? You know, we're already doing a lot of crazy stuff with mosquitoes. We're modifying them so that the males mate with females that carry the Zika virus, you know, give birth to offspring that never reach maturity. I mean, this is just crazy, it's science fiction. And now that they're working on modifying female mosquitoes into vaccine carriers instead of disease carriers. I mean, this is science fiction, right? Like who believes this stuff? It's crazy. >> Christopher is amazing. >> Yeah, I've loved, there's been a bunch of movies recently that have kind of helped to educate on STEM some, you know, Martian got a lot of people excited, you know, Hidden Figures, the one that I could being my kids that are teenagers now into it and they get excited, oh, science is great. So the movie, how much will you be involved? You know, what can you share about that experience, too, so far? >> It's been, it's very surreal. That's the word is use to describe it, the honest, god's honest truth, I mean. I've been very lucky in that my representation in Hollywood is this rock-solid guy called Howie Sanders. And he's this bigger-than-life Hollywood agent guy. He's hooked me up, we've made a lot of business decisions that we're focused less on the money and more on the team, which is nice to be, like when you're in your 40s and you're more financially settled, you're not in the kind of situation where you might be in your 20s and just going to sign the first deal that people give you. So we really focused on hooking up with like the director, James Bovin is, you know, he's the guy who co-created Flight of the Concords. He did the Muppets movie, you know, Alice Through the Looking Glass. Really professional guy but also really understands the tone of the book, which is like humorous, you know, kind of sarcastic. It's not just about the technology. It's also about the characters. Same thing with the production team. The two producers, Mandeville Productions, I was just talking to Todd Lieberman, and we're talking about just what is augmented reality, like how does it look like on the screen? So I'm not- >> It's not going to look like Blade Runner is what I'm hearing. >> (laughs) I don't know. It's going to look real. I imagine, I don't know, they're going to make whatever movie they're going to make, but their perspective, one of the things we talked about is keeping the movie very grounded. Like you know, one of the big questions they ask first going into it is before we even had any sort of movie discussions is like is this more of like a Looper, Gattica, or District Nine, or is it more like The Fifth Element, you know, I mean, is it like, do you want it to be this sort of grounded movie that feels authentic and real and near future or do you want this to be like completely alien and weird and out of it. And the story is more grounded. So I think a lot, hopefully what we display on the screen will not feel that far away from reality. >> Okay, yeah. >> You do marketing in your day job. >> I do. >> I'm curious as you look at this, kind of the balance of educating, reaching a broad audience, you have passion for STEM, what's your thoughts around that? Is it, I worry there's so much general, like television or things like that, when I see the science stuff, it like makes me groan. Because you know, it's like I don't understand that. >> I am the worst, because I got a security background too, so that's the one I get scrambled on. The war, I mean, like. >> Wait, thank goodness I updated my firewall settings because I saved the world from terrorists. >> Hang on, we're breaking through the first firewall. Now we're through the second firewall. (laughing) Now we're going through the third firewall, like 15 firewalls. And let me upload the virus, like all that stuff. It's difficult for me. I think that, you know, hopefully, there's also a group in Hollywood called the Hollywood Science and Entertainment Exchange. And they're a group of scientists who work with film makers on, you know, reigning things in. And film makers don't usually take all their advice, i.e. Interstellar, (laughing) but you know, I think (laughing) in many cases there's some really good ideas that come to play into it that hopefully bring up, like I think Jarvis for example, in Iron Man or the Avengers is a really cool implementation of what the future of AI systems might be like. And I know they used the Hollywood Science Exchange to figure out how is that going to work? And I think the marketing aspect is, you know, the reason I came up with the idea for this book is because my CEO of a company I used to work for, he had this whole conversation about teleportation, like teleportation was impossible. And he's like, it's not because the science, yes, the science is a problem right now, but we'll get over it. The main issue is that nobody would ever step foot into a device that vaporizes them and then printed them out somewhere else. And I said, well that's great, cause that's a marketing problem. (laughing) >> Yeah, you're dead every time you do it. But it's the same you, I can't tell the difference. >> Well, you say you're dead, I'm saying you're just moving. (laughing) >> Artificial intelligence, you know, kind of a big gap between the hype to where we need to go. What's your thoughts on that space in general? >> I think that we have, it's a great question because I feel like that's a term that gets thrown around a lot, and I think as a result it's becoming watered down. So you've this sort of artificial intelligence that comes with like, you know, Google building an app that can beat the world's best Go player, which is a really, really difficult puzzle. The problem is, that app can do one thing, and that's play Go. You put in it a chess game, and it's like I don't know what's going on. >> It's a very specialized kind of intelligence, yeah. >> Now with Open AI, you know, they just had some pretty interesting implementations where they actually played video games with a real live competition and won. Again, you know, but without the smack talk, which really I think would add a lot. Now you got to get an AI to smack talk. So I think the problem is we haven't figured out a really good way of creating a general purpose AI. And there's a lot of parallels to the evolution of computing in general because if you look at how computers were before we had general purpose operating systems like Unix, every computer was built to do a very, very specific function, and that's kind of what AI is right now. So we're still waiting to have a sort of general purpose AI that can do a lot of specialized activities. >> Even most robots are still very single-purpose today. >> That's the fundamental problem. But you're seeing the Cambridge guys are working on sort of the bipedal robot that can do lots of things. And Siri's getting better, Cortana's getting better, Watson's getting better, but we're not there. We still need to find a really good way of integrating deep knowledge with general purpose conversational AI. Cause that's really what you need to like, Stu, what do you need? Here, let me give it to you, you know? >> Do you draw a distinction between AI that's able to simply sort of react as a fairly complex machine or something that can create new things and add something? >> That's in the book as well. So the fundamental thing that I don't think we get around even in the future is giving computers the ability to actually come up with new ideas. There's actually a career, the main job of the protagonist in the book, his job is a salter. And his job is to salt AI algorithms to introduce entropy so they can come up with new ideas. >> Okay, interesting. >> So based off the sort of chaos theory. >> Like chaos monkey, right? >> Yeah. And that's really what you're trying to do is like, okay, react to things that are happening because you can't just come up with them on their own. There's a whole, I don't want to bore you, but there's a whole bunch of stuff in the book about how that works. >> It's like hand-carving ideas that are then mass produced by machines. >> Yeah, I don't know if you guys are going to have Simon Crosby on here, he's kind of like an expert on that. He was the Dean of Kings College, which is where Turing came from. So he really knows a lot about that. He's got a lot of strong ideas about it. But I learned a lot from him in that regard. There's a lot of like, the snarky spirit of Simon Crosby lives on in my book somewhere. But he's just funny cause he's, coming from that field, he immediately sees a lot of BS right off the bat, whenever anybody's presenting. He's got like the ability to just cut through it. Because he understands what it would actually take to make that happen, you know? So I tried to preserve some of that in the book. >> That is refreshing in the tech industry. >> So Tal, I need to let you, you know, wrap this up. Give us a plug for the book, tell us, when are we going to be able to see this on the big screen? >> I don't know about the big screen, but the Punch Escrow is now available. You can get it on Amazon, Barnes and Noble, anywhere books are sold. It's been optioned by Lionsgate. The director attached to it is James Bovin, production team is Mandeville Productions. I'm very excited about it. Go check it out. It's a pretty quick read, reads like a technothriller. It's not too hard. And it's fun for the whole family. I think one of the coolest things about it is that the feedback I've been getting has been that it really is appealing to everybody. I've got mother-in-laws reading it, you know, it's pretty cool. Initially I sold it, my initial audience is like us, but it's kind of cool, like, Stu will finish the book, he'll give it to, you know, wife, daughter, anything, and they're really digging it. So it's kind of fun. >> Justin: Thanks a lot. >> Tal Klein, really appreciate you coming. Congratulations on the book, we look forward to the movie. Maybe, you know, we'll get the Cube involved down the road. (laughing) >> And we're giving away 75 copies of it here at Lakeside booth, if you guys want to come. >> Tal Klein, author of The Punch Escrow, also CMO of Lakeside, who is here in the thing. But yeah, (laughing) a lot of stuff. Justin and I will be back with more coverage here from VMWorld 2017. You're watching the Cube. (bright music)

>> Narrator: From the Computer History Museum in the heart of Silicon Valley it's the Cube, covering food I.T., fork to farm, brought to you by Western Digital. >> Hey, welcome back, everybody. Jeffrey here with The Cube. We're at the Computer History Museum in Mountain View, California, at the Food I.T. show. About 350 people from academe, from food producers, somebody came all the way from New Zealand for this show. A lot of tech, big companies and start-ups talking about applying IT to food, everything from ag to consumption to your home kitchen to what do you do with the scraps that we all throw away. We're excited now to get to the "Big Brain" segment. We've got our Ph.D.s on here. We're excited to have Doctor Glenda Humiston. She's the V.P. of agriculture and natural resources for the University of California. Welcome. And also, Doctor Helene Dillard. She's the dean of the College of Agricultural and Environmental Sciences at UC Davis. Welcome. >> Thank you. >> So first off, we were talking a little bit before we turned the cameras on. Neither of you have been to this event before. Just kind of your impressions of the event in general? >> Glenda: I love seeing the mix of the folks here as you were saying in your intro. There's quite a diverse array of people, and I personally believe that's what's really going to help us find solutions moving forward, that cross-pollination. >> Helene: And I've enjoyed it, just seeing all the different people that are here, but then the interaction with the audience was very uniquely done, and I just think that's a real big positive for the show. >> So you guys were on a panel earlier today, and I thought one of the really interesting topics that came up on that panel was, what is good tech? You know, everybody wants it all, but unfortunately there's no free lunch, right? Something we all learned as kids. There's always a trade-off, and so people want perfect, organic, this-free, that-free, cage-free, at the same time they want it to look beautiful, be economical and delivered to their door on Amazon Prime within two hours. So it's interesting when we think of the trade-offs that we have to make in the food industry to kind of hit all these pieces, or can we hit all these pieces or how does stuff get prioritized? >> Well I think that for us, it's going to be a balance, and trying to figure out how do you provide the needs for all these different audiences and all the different things that they want and I don't think one farmer can do it for all these different groups that have different demands on what they're looking for. And some of the tradeoffs could be, as we go away from pesticides and from other things, we might have more blemishes. And those are still edible pieces of fruit and vegetables, it's just that maybe it's curly, maybe the carrot's not straight, you know, maybe it's forked, but it's still very edible. And so I think that we have to do a lot more to help educate consumers, help people understand that it doesn't have to look perfect to give you perfect nutrition. >> Right, right. >> Glenda: Yeah, yeah, Helene is absolutely right. Some of it's just education, but some of it's also us finding the new technology that is acceptable to the public. Part of the problem is we sometimes have researchers working on their own, trying to find the best solution to a problem and we're not socializing that with the public as we're moving forward. So then all of a sudden, here's this new type of technology and they're like, where did this come from? What does it mean to me? Do I need to worry about it? And that's one reason--we talked earlier on the panel too, about the need to really engage more of our citizens in the scientific process itself, and really start dealing with that scientific illiteracy that's out there. >> Because there was a lot of talk about transparency in the conversation-- >> Yes. >> Earlier today about what is transparency. Cause you always think about people complaining about genetically modified foods. Well what is genetically modified? Well, all you have to do is look at the picture of the first apple ever, and it was a tiny little nasty-looking thing that nobody would want to eat compared to what we see at the grocery store today. A different type of genetic modification, but still, you don't plant the ugly one, and you plant the ones that are bigger and have more fruit. Guess what, the next round has more fruit. So it does seem like a big education problem. >> It is, and yet, for the average human being out there, all you have to do is look at a chihuahua next to a Saint Bernard. None of that was done with a genetically modified technology and yet people just--they forget that we've been doing this for thousands of years. >> Jeffrey: Right, right. You talked about, Glenda, the VINE earlier on in the panel. What is the VINE? What's the VINE all about? >> Well, it's brand new. It's still getting rolled out. In fact, we announced it today. It's the Verde Innovation Network for Entrepreneurship. You know, you've got to think of a clever way to get that acronym in there >> Which comes first, the chicken or the egg? >> Basically it's our intent from University of California to catalyze regional innovation and entrepreneurship ecosystems. Part of what's driving that is we've got a fairly good amount of resources scattered around the state, even in some of our rural areas, on small business development centers, our community colleges, our county cooperative extension offices, and a host of other resources including lately, the last several years, incubators, accelerators, maker's labs. But they don't talk to each other, they don't work together. So we're trying to go in, region by region, and catalyze a coalition so that we can make sure that our innovators, our inventors out there, are able to go from idea to commercialization with all the support they need. Via just basic legal advice, on should they be patenting something. Access to people to discuss finances, access to people that can help them with business plans. Opportunities to partner with the University in joint research projects. Whatever it takes, make sure that for anybody in California they can access that kind of support. >> That's interesting. Obviously at Haas, and at Stanford, not far from here, you know, a lot of the technologies of such companies come out of, you know, kind of an entrepreneurial spin with a business-focused grad and often a tech grad in a tech world. You know, ton of stuff at Berkeley on that, but >> Yeah, but those folks this is really for ag >> are in urban areas >> If you're in a large urban area or you're near a major campus you've probably got access to most of that. If you're in agriculture, natural resources, and in particular, our more remote, rural communities, you typically have no access, or very little. >> Right. So biggest question is, Helene, so you're at Davis, right, obviously known as one of the top agricultural-focused schools certainly in the UC system, if not in the world. I mean, how is the role of academic institutions evolving in this space, as we move forward? >> I would say it's evolving in that we're getting more entrepreneurship on campus. So professors are being encouraged to look at what they're working on and see if there's patent potential for this. And also, we have a group on UC Davis campus called Innovation Access, but looking at how can they access this population of people with money and, you know, the startups to help them bring their thing to market? So that's becoming-- that's a very different campus than years ago. I think the other thing is, we're also encouraging our students to look at innovation. And so we have a competition called the Big Bang, and students participate in that. They do Hag-a-thon, they do all these kinds of things that we tend to think that only the adults are doing those but now the students are doing them as well. And so we're trying to push that entrepreneurship spirit out onto all of our campus, onto everyone on the campus. >> And I do want to emphasize that this isn't just for our students or our faculty. One of the key focuses of the VINE is all of our external partners, too. Just the farmers, the landowners, the average citizens we're working with out there. If they've got a great idea, we'd like to help them. >> Jeffrey: And what's nice about tech is, you know, tech is a vehicle you can change the world without having a big company. And I would imagine that ag is kind of-- big ag rolled up a lot of the smaller, midsize things, and there probably didn't feel like there was an opportunity that you could have this huge impact. But as we know, sitting across the street from Google, that via software and technology, you can have a huge impact far beyond the size and scope of your company. And I would imagine that this is a theme that you guys are playing off of pretty aggressively. >> Absolutely. I think that there are people on campus that are looking for small farm answers and mechanization as well as large farm answers. We have people that are working overseas in developing countries with really, really small farm answers. We have people that are working with the Driscolls and partnering up with some of these other big companies. >> We talked a little bit before we went on air about kind of the challenges of an academic institution, with some of the resources and scale. These are big, complicated problems. I mean, obviously water is kind of the elephant in the room at this conference, and it's not being talked about specifically I think they've got other water shows. Just drive up and down the valley by Turlock and Merced and you can see the signs. We want the water for the farms, not for the salmon in the streams, so where do the--the environmental impacts. So these are big, hairy problems. These are not simple solutions. So it does take a lot of the systems approach to think through, what are the tradeoffs of a free lunch? >> It really does take a systems approach, and that's one thing here in California, we're doing some very innovative work on. A great example that both UC Davis, my division, and other parts of the UC system are working on is Central Valley AgPlus Food and Beverage Manufacturing Consortium, which is 28 counties, the central valley and up into the Sierra. And what's exciting about it is, it is taking that holistic approach. It's looking at bringing around the table the folks from research and development, workforce, trained workforce, adequate infrastructure, financing, access to capital, supply chain infrastructure, and having them actually work together to decide what's needed, and leverage each other's resources. And I think that offers a lot of possibility moving forward. >> And I would say that at least in our college, and I would call the whole UC Davis, there's a lot of integration of that whole agriculture environmental space. So we've been working with the rice farmers on when can you flood the rice fields so that there's landing places for the migrating birds? Cause this is the Pacific flyway. And can we grow baby salmonids in that ricewater and then put them back in the bay? And they figured out a way to do that, and have it actually be like a fish hatchery, only even better, because we're not feeding them little tiny pellets, they're actually eating real food, (laughs) whole foods. >> And how has an evolution changed from, again, this is no different than anyplace else, an old school intuition, the way we've always done it versus really a more data driven, scientific approach where people are starting to realize there's a lot of data out there, we've got all this cool technology with the sensors and the cloud and edge computing and drones and a whole lot of ways to collect data in ways that we couldn't do before and analyze it in ways that we couldn't do before to start to change behavior, and be more data-driven as opposed to more intuition driven. >> I would say that what we're seeing is as this data starts to come in precision gets better. And so now that we understand that this corner of the field needs more water than the other side, we don't have to flood the whole thing all at once. You can start on the dry side and work over to the other side. So I think the precision is getting much, much better. And so with that precision comes water efficiency, chemical efficiency, so to me it's just getting better every time. >> And frankly, we're just at the beginning of that. We're just starting to really use drones extensively to gather that type of data. New ways of using satellite imagery, new way of using soil sensors. But one of the problems, one of the big challenges we have, back to infrastructure, is in many parts of your agricultural areas, access to the internet. That pipeline, broadband. If you've got thousand of sensors zapping information back you can fill up that pipeline pretty fast. It becomes a problem. >> Jeffrey: That pesky soft underbelly of the cloud, right? You've got to be connected. Well, we're out of time, unfortunately. I want to give you the last word for people that aren't as familiar with this, basically, myself included, what would you like to share with people that could kind of raise their awareness of what's happening with technology and agriculture? >> Well, I guess that I would start out saying not to be afraid of it, and to look at the technology that has come. Remember when we had the rotary dial phone? My son doesn't even know what that is! (laughs) >> Jeffrey: Mom, why do you say dial them up? >> Yeah, why do you say dial people up? So I think, looking at your rotary phone, now, looking at your smart phone, which has more computing power than your first Macintosh. It's very--the world is changing, and so why do we expect agriculture to stay in the 1800s mindset? It's moving too, and it's growing too, and it's getting better just like that iPhone that you have in your hand. >> I think I would add that to that, back to the citizen science, I would love people out there, anybody, average citizens young or old to know that there's opportunities for them to engage. If they're concerned about the science or the technology come work with us! We have over twenty thousand volunteers in our programs right now. We will happily take more. And they will have a chance to see, up close and personal, what this technology is and what it can do for them. >> Alright. Well that's great advice. We're going to leave it there, and Dr. Humiston, Dr. Dillard, thank you for taking a few moments out of your day. I'm Jeffrey. You're watching the Cube. We're at the Computer History Museum. Food IT. Learning all about the IT transformation in the agriculture industry. Also to the kitchen, your kitchen, the kitchen of the local restaurant and all the stuff that can happen with those scraps that we throw away at the end of the day. Thanks for watching, and we'll be right back after this short break. (electronic music)

>> Announcer: From the Computer History Museum in the heart of Silicon Valley, it's the Cube, covering Food It, Fork to Farm. Brought to you by Western Digital. >> Hey, welcome back everybody. Jeff Frick here at the Cube. We're in Silicon Valley at the Computer History Museum which celebrates history but we're talking about tech in the food and agricultural space. Here at the Food IT Convention, about 350 people, somebody came all the way from New Zealand, got food manufacturers. We've got tech people, we've got big companies, start-ups and we have a lot of represents from academe which is always excited to have them on, so our next guest is Dr. Andy Thulin, he's the Dean of the College of Agriculture, Food and Environmental Sciences at Cal Poly, San Luis Obispo, or SLO as we like to call them. Welcome. >> That's right. >> And all the way from Iowa, we have Dr. Wendy Wintersteen. She's the Dean of College of Agricultural and Life Sciences at Iowa State. Welcome. >> Thank you, it's great to be here. >> Absolutely, so first off, just kind of your impressions of this event? Small, intimate affair, one actually introduced everyone this morning, which I thought was a pretty interesting thing. Kind of your first impressions. >> It's a great environment. We have this mix of technology and a few production people here, but people thinking about the future. That's always an exciting place to be. >> Really, the environment, having the little set of exhibits, where people can go around, visit with entrepreneurs. It really, a great setting, I think for the discussion. >> So, Wendy, when you introduced your portion on the panel, you talked about the scale on which Iowa produces a lot of things. Pigs, and corns, and eggs, and chickens, and, so, you've been watchin' this space for a while. How do you see, from your perspective, kind of this technology wave, as it hits. Is it new, have we just not been payin' attention? Or is there something different now? >> Well, I think the speed of adoption, the speed of innovation is increasing, clearly. But, it's been a long time now that we've had power drive tractors so the farmers can sit and work on the technology in the cab related to their soil mapping, or yield monitors and the tractor's driving itself. So, we've had that sort of thing in Iowa for a long time and that continues to be improved upon, but that'd be just one example of what we're seeing. And, obviously, California has a huge agricultural presence, again, some people know, some people don't, the valley from top to bottom is something on the order of 500 miles of a whole lot of agriculture, so again, does this, do you see things changing? Is this more of the same? >> No, absolutely changing. I mean California produces some, a little over 400 different products. A lot of 'em, about a 100 of 'em, lead the country, in terms of marketplace. So, there's a lot of technology with the issues of water, lack thereof, or cleaning it up, or the labor challenges that we have for harvesting products. It's really turned into quite a challenge, so challenge drives innovation, you know, when you have your back against the wall, For example, in the strawberry fields I think, a year ago they had $800 million worth of labor to produce $2.4 million, billion dollars worth of strawberries. When you think about that, that's a lot of labor. When you can't get that labor in, you're drivin' by it, you got $300 million, wherever, they just weren't able to harvest it all 'cuz there was nobody to pick 'em. So, when you think about that, it's a billion dollars. It's a billion dollars that they couldn't get to. That drives innovation, so there's a lot of innovation goin' in these products. >> Pretty interesting, 'cuz, obviously, the water one jumps out, especially here in California, you know we had a really wet winter. The reservoirs are full. In fact, they're lettin' water out of the things. I would say we don't have a water problem, we have a water storage problem. This came up earlier today. The points of emphasis change, the points of pain change, and labor came up earlier. The number of people, the minimum wage laws, and the immigration stuff that's going on. Again, that's a real concern if you've got a billion dollars worth of strawberries sittin' in a field that you can't get to. >> Yeah, it's a real challenge. California faces a couple of shortages. We've got a water shortage, we've got a labor shortage, but we also have a talent shortage. We were talking this morning about the number of young people going to Ag colleges. It's up dramatically and we need all that talent and more. Everyone needs, all the grain industry, if you will, across the country, all the people that run these farms and ranches, and all, they're getting older. Who's coming back behind them? It's a technology driven industry today. It's not something that you can just go out and pick it up and start doing. It takes talent and science and technology to manage these operations. >> So, it's interesting. There's been science on kind of the genetic engineering if you will, genetically modified foods for a long time. Monsanto is always in the newspaper. But I asked something that's kind of funny, right, 'cuz we've been genetically modifying our food for a long time. Again, drive up and down I-5 and you'll see the funny looking walnut trees, that clearly didn't grow that way with a solid base on the bottom and a high-yield top. So, talk about attitudes, about this and people want it all. They want organic, but they also want it to look beautiful and perfect, be priced right and delivered from a local farmer. There's no simple solution to these problems. There's a lot of trade-offs that people have to make based on value so I wonder if you could talk about how that's evolving, Wendy, from your point of view. >> Well, certainly as we think about the products we produce in Iowa, we know that producers are willing to produce whatever the consumer would like. But they really want to be assured they have a market, so, right now in Iowa, we have cage-free eggs being produced, and those are being produced because there's a contract with a buyer, and, so I think producers are willing to adapt and address different opportunities in the big markets, different segments of that market, if they can see that profit opportunity that will allow them to continue in their business. From the producer's point of view, the subtheme of this show is Fork to Farm, as opposed to Farm to Fork which you think is the logical way, but it's come up and it's been discussed here quite a bit. It's the consumer, again, like they're doing in every business, is demanding what they want, they're willing to pay, and they're very specific in what they want. Was this like a sudden wave that hit from the producer point of view, or is this an opportunity? Is this a challenge? How is that kind of shifting market dynamics, impacting the producers? >> Well, I think it's all being driven by technology. We're talkin' this morning, years ago, it was the expert, you know, Wendy's of the world they had all the knowledge and then you had all the consumers listening to 'em and trusting 'em. Today, you have, as I call it, the mama tribe, or the soccer tribe, or that sort of thing, where they're listening to other parents, other mothers in that group, they're listening to the blogs, they're listening to their friends, that's driving the conversation and there's less science and technology behind it. They don't trust and the transparency thing comes up constantly. Technology has allowed this just wide open space where now they got so much information, how do they process that. What's real, what's not real, in terms of biotech, or is it this, or is it that? Is it wholesome, you know, all these factors. >> It's funny 'cuz you brought up the transparency earlier today as well, so people know what they're getting, they want to know, they really care. They just don't want to just get whatever generic ABC, like they used to. >> Right, and I think, again, there's a certain segment of the market that is very interested in that and companies are responding. I give the example of Nestles, and so, you get on their web page and you can see the ability to scan the code on a particular product and go and get a lot of information about that product back on the web page of that company. I think that for certain groups of consumers that's going to become even more important, and we have to be prepared to meet that demand. >> So, in terms of what's going on at your academic institutions, how is the environment changing because of technology, we've got these huge macro trends happening, right, cloud is a big thing, Edge Computing, which is obviously important, got to get the cloud to the edge (laughs) of the farm, sensors, big data, being able to collect all this data, I think somebody earlier said it went from no data to now a flood of data, how are you managing that? Better analytics and then, of course, there's fun stuff like drones and some of these other things that can now be applied. How's that workin' it's way into what you're doing in terms of training the next generation of entrepreneurs as well as the kind of traditional farmers in this space? >> Well, I think, first of all, we're seeing a lot more integration between what we do in engineering, and what we do in computer science, and what we do in agriculture and business. The overlap and the connection across those disciplines is occurring not just with our faculty but also with our students. We had a group of students at Iowa State before they graduated from the college, able to start a company called ScoutPro that was based on using technology to help farmers identify pests in the field, and that became a company using the technology to do that. Of course, that relied on software development, as well as clear understanding of agronomic and pest management strategy. I think those integrated approaches are occurring more and more. >> I think at Cal Poly it's, our motto has been for over a hundred years Learn by Doing, hands-on learning. That's key to us, as you have a lecture class, you have a lab that goes along with it so they're forced to. We have over 45 to 50 classes, enterprise classes, where you can come in and you can raise, let's say marigolds and then you can provide that whole value train, chain and sell it. You can raise broiler chicks every quarter, for 35 days you can raise 'em up, 7,000 birds and there's teams of students in these classes, they can do it, then they manage the whole process. A winery, for example, it's a bonded winery. They do the whole process. They know how to change the pumps and all that, so it's hands-on but you take that from there up to where those students go out into the industry. Our university just signed an agreement with Amazon for the cloud, so we're moving the whole complex, our IT, to the cloud through that organization. Is that right or wrong, I don't know, but we've got to do things faster, quicker, and just our infrastructure, would a cost us millions to do that, but that allowed the students, what is it, Apple is only, the iPhone is 10 years old tomorrow. Tomorrow. These kids, that's all they grew up with. So, we're constantly having to change our faculty, our leadership teams, constantly have to change to keep up and stay side-by-side with the technology, so it's changed our Center for Innovation and Entrepreneurship. Cal Poly has a partnership with the community, with the university, it started in College of Business and we have a whole floor of a building in downtown San Luis Obispo and across the street we've got 60 apartments for students that are involved in these start-ups to live there so they can walk across the street, get right engaged. So, we're trying to do everything we can, every university is trying to do everything they can to kind of keep this space flowing, and this enthusiasm with these young people. That's where the change is going to occur. >> Right, right. Exciting times. >> It is exciting. >> It is. >> Alright, well, unfortunately, we are out of time. So, we're going to have to leave it there, but I really want to thank you for stopping by and wish you both safe travels home. >> Thank you very much. >> Thank you. >> Dr. Thulin, Dr. Winterston, I'm Jeff Frick. You're watching the Cube. It's Food IT in Mountain View, California. Thanks for watching. We'll be right back after this short break. (electronic music)

(upbeat pop music) >> Announcer: Live from Las Vegas, it's theCUBE covering HPE Discover 2017, brought to you by Hewlett Packard Enterprise. (synthesizer music ticking) >> Okay, welcome back everyone. We're here live in Las Vegas for SiliconANGLE Media. It's theCUBE. This is our coverage of HPE Discover 2017, our seventh year covering HP Discover, now HPE Discover. I'm John Furrier with my Cohost, Dave Vellante. Our next two guests, Paul Miller, Vice President, Software Defined and Cloud Group Marketing at HPE, welcome back to theCUBE, CUBE alumni, Danny Yeo, System Administrator at BYU, Brigham Young University, guys, welcome to theCUBE. Welcome back. >> Thank you. >> Welcome to theCUBE. >> Hey, guys. >> So, tell us-- >> Glad to be here. >> So, tell us, what's your experience in Vegas, so far? What's the take, here, from your perspective on what's happening at the show, your takeaway? >> A lot of exciting technology, with HPE, some things that I wasn't aware what they were doing and I'm very impressed, really impressed. >> John: Like what, what are the things that-- >> One of the things, I was just telling Paul, is their memory driven computing with genomic research. I'm with the College of Life Sciences, specifically, at Brigham Young University and we have people doing research in that area, mapping the human genome, for example. We've got people doing DNA analysis and so forth, so that, that was really fascinating. >> About computing, the Meg Whitman keynote, really, >> Yes. >> redefining compute, it's the vision, >> Yeah. >> and the messaging, hybrid cloud, obviously the center of the action. How does that fit into the portfolio with hyperconverged still on fire? I mean, IT is just getting more automated in a way, but it's more scalable infrastructure. >> Yeah, so we see, you know, our mission in our organization is to drive software defined everything, right, and hyperconverge is all about software defining and making virtualization environments easy and the SimpliVity and the SimpliVity architecture, which is built on rich data services, will enable us to take software defined storage to the next level to make it super, super scalable and extensible and give customers that resilience that they need, the inline dedupe, compression, all those great technologies. You'll see us, you know, push really hard in the hyperconverge space. As you say, it's on fire and I can tell you the sales are on fire. The sessions, here, are on fire, standing-room-only for every SimpliVity session, hands-on labs booked beyond capacity with people loving and learning the technology, but we're not stopping there. We're going to take that same technology and embed it in our Synergy offering. So, just think about the ability to compose and recompose highly scalable software defined storage for enterprise applications and enterprise scale and then you'll also see it be a key part of our technology on the new stack, so, a lot of cool things. The sessions are really hot and on fire, as you say. >> So, Paul, if we go back to the 2009 timeframe, it was converged infrastructure, >> Yeah. >> HP, at the time, kind of coined the term and then it, but essentially, it was some compute, some storage and some networking kind of screwed together >> Yeah. >> and, you know, pre-tested and pre-engineered. >> Yeah. >> That's all good, but it's really evolved dramatically and when you think hyperconverged, you think software defined, software defined everything. >> Yeah. >> It's kind of what Synergy was all about, fluid pools of infrastructure, >> Yeah. >> we heard you guys talking about that, last Discover. So, tell us, help us understand SimpliVity and how that fits in that portfolio. >> Okay, so, yeah, so the whole convergence thing was all about static building blocks, right? You built 'em, you deployed 'em, but they were really static. What we're trying to go to is fluid pools of everything. So, think about SimpliVity being a fluid pool of storage other you could compose and recompose for different workloads. And, in our overall portfolio, the biggest advantage we have, like with the Synergy product, is the ability for a customer who has, needs the scalability and resilience of SAN, today, to be able to on the time you're deploying an application, compose it for that workload, but now I want software defined because I may need some, a lower cost basis, be able to, at time of deployment, at time of provisioning, deploy it there. So, we see this being a very complimentary strategy, where, now, we have composability from software defined all the way up to the largest SAN type software architectures. >> All right, Danny, let's get into this, sort of your situation. So, can you help us? Paint a picture of what's going on in your shop. You know, what are the challenges that you're having? What are the drivers that are affecting your IT decisions and take us through, sort of, what you're doing with infrastructure. >> Absolutely, so, before we got into hyperconverge, we were essentially like everybody else who had not been exposed to hyperconverge. We have the traditional service stack. You got compute nodes, you got fabric, you got storage nodes and then you got the fabric for them to communicate. And, you know, when you have problems, you get the finger pointing, right? (hosts laughing) And so, that was really frustrating and then, of course, you got a hypervisor and all that put in place in the mix. It was frustrating and supporting that, the outbacks was (object banging) a little bit challenging because, you know, for example, my systems engineer would have to stay, sometimes after hours, after five and he'd start doing things and, you know, patching, upgrading, you name it and sometimes to way after midnight. That was problem. We were trying to minimize that. The other challenge that I had in my shop was backup. We had a backup window, during the weekend, that we cannot meet. At some point in time, the RTO and RPO weren't sufficient and, so, we had to look at a different strategy. Disaster recovery, that was like something unachievable. It's like out there, somewhere, right? >> You can't even meet your backup windows. >> Right, sure. >> Dave: I mean, forget about disaster recovery, right. >> So, summer of 2014, I went to a VMware user conference, stopped by the SimpliVity booth and they asked me if I knew about the technology; I didn't, so they spent some time explaining that to me and after that, they asked me if I just had a little bit more time so that they can do a demo for me, a demonstration. During the demonstration, the engineer basically did a failover from California to either Boston or New York. It was in seconds, 22 seconds if I remember correctly. And then, he says, "Well, that simulated a disaster. "And so, you failover and if the disaster is "now all over and averted, you want to failback, right, "to your primary location, " and he did that, again, in seconds. I was blown away. I was sold. It reminded me of when in 2005, I saw VMotion from VMware. >> Yeah right. >> Yeah (laughs). >> John: Right, everybody went, "Wow." >> Game, game changer isn't it? >> Game change, yes! >> Yeah. >> Right. >> And so, I thought to myself, I need, you know, it was like that movie, I got to get me one of these (laughing). And so, I asked them to come over and visit us on campus, do a deeper dive of the technology and so that way we can ask questions back and forth. They did and then we decided to do a Proof of Concept, so we did that late 2014 and after the Proof of Concept, we were convinced that was the technology to acquire. >> So, you had to make sure it was real? >> Yes, now-- >> You did the proofs, Proof of Concept? >> I have, sorry, go ahead. >> No, please, continue. >> So, I had the unique situation where after I have acquired SimpliVity and was running it in production, a competitor, I'll just put it that way, came in and asked us if we would consider doing a POC with their product. And, we're like, "You know, well, I've already bought this," and they said, "Not a problem, we would like you "to try our product and if our product is superior, "we want to swap out those SimpliVity boxes." So, I thought, well, what do I have to lose? (Paul laughing) So, I had the opportunity to run both hyperconverged technologies, side-by-side. >> Okay. >> As we were thinking how best to really test which one works, which one's superior or if they're essentially the same thing, we had an engineer suggest, "Why don't we simulate a drive failure, "start pulling out drives?" And so, we did, we started pulling out drives and I had three nodes on, with SimpliVity and on the other I had four nodes and a box. As we pulled out the, after we pulled out the sixth drive, the other technology failed. We couldn't recover data, basically. We would have to send it to a data recovery center. SimpliVity was just, you know, it was business as usual. It was going, no sweat. >> Dave: Because you had it replicated? Is that right, or-- >> Not yet. We haven't had it replicated, >> Oh, okay. >> but it was an evaluation. >> Dave: Just all synchronous, that's what happened. >> So, it's their technology, right, it's the RAIN and RAIN architecture. >> Yeah. >> and, that's the thing, the RAIN architecture that protected us, so we were able to pull the sixth drive. It was still continue, it threw up a lot of flags, >> Yeah. >> alerts and we knew that-- >> Redundance with the nodes, redundancy at the node level >> Yes. >> as opposed to just the drive level? >> But, that little experiment basically proved to us that we bought the right thing. It validated our acquisition. >> John: So you did the bake-off. That's awesome, right? >> Yes. >> John: So, what did you say to the other guys when they came back and said, yo, your stuff's not working? >> Well, we asked them first. We asked them first, "Help. "Your box is not responding, help." They threw up their hands in the air. >> It's your fault. (hosts laughing) >> Yeah, here's the answer. >> John: You got finger pointing? >> Here's the answer, >> Come on. >> you'll love this, right, the answer is, "You know, you can't just pull out the drives. "You've got to time 'em. "You know, you can't just, willy nilly, you just yank 'em. "You've got to time them." >> Say that to the tornado that's coming down or the earthquake >> Yeah, yeah, sure. >> that's happening or floods, I mean, you? >> Yeah, how do you time those? >> It's a disaster. >> Yeah, how do you time those, yeah? >> So, we decided, look take your product back. We're happy with SimpliVity. We'll keep it. >> This is a huge issue. I mean, Hurricane Sandy, which happened in New York, >> Oh, yeah. >> that was a game changer for a lot of the folks we talk to on theCUBE. You don't know when this is going to come and, literally, this disaster recovery thing is, has to be part of the plan and that's really the key. Now that you have SimpliVity, now that it's part of HPE, what's your world like now with HPE with the SimpliVity? >> It's too soon to tell. (all laughing) No, really, honestly, but after the keynote yesterday, I'm pretty convinced other SimpliVity has, is in good hands. >> John: Yeah. >> And, only time will tell, right? >> So, I want to just sort of summarize the story 'cause we were throwing in all kinds of buzz, RPO, RTO, so, but basically you had a problem with your backup window. That's where this all started. You weren't meeting >> That's where it started. >> your backup window? >> Yes. >> You really didn't even have a disaster recovery, an adequate disaster recovery plan. >> Danny: Not at all. >> So, RPO is a Recovery Point Objective, essentially a measure of how much data you're going to lose, right, >> Yeah. >> and then RTO is Recovery Time Objective, the time it takes you to get your applications back up and running. >> Right. >> And, of course, nobody wants to lose any data, but there's always some exposure. If you want to spend a billion dollars, maybe you can minimize that to near zero, but, and I presume, you didn't spend a billion dollars on this, >> No (laughs). >> but those are the drivers. So, you essentially solved your backup window problem and, at the same time, >> Right. >> you got disaster recovery out-of-the-box, is that correct? >> Yes, so backup is in seconds, right? It's, you know, to do a backup, takes us only a few seconds, like six seconds and so forth. We bought an additional node, put it in a remote site and replicated to it and now we can failover to that node and run only mission-critical apps and when everything's good in the primary location, we can just failback. >> And, that gives you your disaster recovery. Now, and your RPO, is what? I mean, what's the-- >> Seconds. >> Oh, seconds? >> Seconds, yeah, seconds. >> Okay. >> Yes. >> Your RPO is down to seconds? >> Danny: It is that impressive, yeah. >> Okay, so you're at risk of losing seconds of data, which is not the end of the world, necessarily, in your world. And your RTO is minutes? >> About there. >> Yeah. >> Tens of minutes kind of thing? >> No, no. >> No. >> Minutes? >> Just minutes. >> Minutes. >> Minutes, yeah. >> Under 10 minutes? >> Danny: Under 10 minutes, yes. >> Oh, yes. >> Okay. >> Yeah, we're not as huge as some other data center, in the College of Life Sciences, so, so-- >> Dave: Well, you know, and you're not financial services. >> Right. >> So, now, when you, what has been the reaction from your user base? I mean, do they even know? >> They have no clue. >> They don't know. >> It is completely transparent, too. We are now able to do maintenance work during the work day, business hours. We can upgrade. We can patch. They have no clue that this is all going on in the background, which is great because, now, my systems engineer does not have to work after five, hardly ever. >> Dave: So, is this why you bought the company? >> Absolutely, we looked at 'em all, right, and I mean all of 'em and we did similarly. We brought 'em into our labs, we did failover, we did scalability. and that's another huge advantage of the SimpliVity platform built and designed for scalability, compression, because system utilization is very, very, important. And, you know, SimpliVity had a really great marketing tool that we're continuing: it was their guarantees. Guaranteed 90% capacity savings, guaranteed the failover time, a terabyte of VMs in under three minutes, so we're carrying on those guarantees, but what those guarantees actually did was really highlight the architectural advantages that SimpliVity designed in. They took a different approach, right. A lot of people started at, I'm going to simplify the VM management layer. They said, "No, I'm going to make "the most robust virtualization data services platform "in the world," and that's where we really see the core advantage and, again, we looked at 'em all. We put 'em through paces and nobody came close on scalability, availability, disaster tolerance than SimpliVity. >> Paul, what does this mean for your other customers, now, extending out through your portfolio? Obviously, there's different categories, campus and the different use case, but for the other use cases with the composability vision, how does this fit into the hyperconverging, overall? >> Yeah, so we have multiple customers, now, who are running a hyperconverged and composable in their same shop, where they want to have just virtualization and a simple easy deployment, whether it for robo sites or for different work groups. Drop in SimpliVity, up and running in minutes. There are other use cases where they need the high performance of bare-metal or they want to move into containers on bare-metal and that's where Synergy plays out. We have people like you saw, Dreamworks, using Synergy for rendering. >> Right. >> You need bare-metal, you need the power. They can compose and recompose for different movies that they do, different animations. They really love that. We were talking about a genomics research company we're working with. They're using it for bare-metal as well. HudsonAlpha, they're driving bare-metal, but they also have hyperconvergence where the developer community says, I just need to do a few, build a new couple applications. Log in, self service, get your work done on a few VMs and then, when they're done, then they'll move that research into bare-metal, so a lot of different use cases across the board. >> Right, what I love about that, John, is it's horizontal infrastructure >> Yeah. >> that can support multiple workloads and multiple applications, which is kind of infrastructure nirvana for a pro, you know, a practitioner, right, I mean >> Sure. >> having that single platform that you can throw multiple apps and workloads at is, I mean, we've not had that in the industry before, right? >> Paul: No. >> No. >> No. >> So-- >> And building it on one view makes things easy for our customers to manage across the board, so, yeah, we're seeing, I mean, what's interesting about, I think, where we're heading is not only working with, you know, IT leads, but now, developers are starting to become part of our core customers who we're talking to. >> Now, you guys are really, really checking the boxes on making IT easier and as it shifts to the cloud and hybrid, you know, this is the kind of thing; you want out-of-the-box experiences, literally, here and then recovery, this is a good trend. >> Yeah. >> Paul, thanks so much. I know you guys got >> Yeah. a hard stop and you've got to roll to another appointment. Danny, thanks so much for sharing your story. >> Thank you. >> Yeah. >> Love that story, real practitioner, you know, on the ground, on the front lines, doing the bake-off, SimpliVity story, great, great job, thanks so much for sharing. It's theCUBE with more live coverage from HPE Discover after this short break Stay with us. (upbeat pop music)