(light upbeat music) >> Hey, everyone. Welcome back to theCUBE's day long coverage of Women in Data Science 2023. Live from Stanford University, I'm Lisa Martin. We've had some amazing conversations today with my wonderful co-host, as you've seen. Tracy Zhang joins me next for a very interesting and inspiring conversation. I know we've been bringing them to you, we're bringing you another one here. Dr. Irene Dankwa-Mullan joins us, the Chief Medical Officer at Marti Health, and a speaker at WIDS. Welcome, Irene, it's great to have you. >> Thank you. I'm delighted to be here. Thank you so much for this opportunity. >> So you have an MD and a Master of Public Health. Covid must have been an interesting time for you, with an MPH? >> Very much so. >> Yeah, talk a little bit about you, your background, and Marti Health? This is interesting. This is a brand new startup. This is a digital health equity startup. >> Yes, yes. So, I'll start with my story a little bit about myself. So I was actually born in Ghana. I finished high school there and came here for college. What would I say? After I finished my undergraduate, I went to medical school at Dartmouth and I always knew I wanted to go into public health as well as medicine. So my medical education was actually five years. I did the MPH and my medical degree, at the same time, I got my MPH from Yale School of Public Health. And after I finished, I trained in internal medicine, Johns Hopkins, and after that I went into public health. I am currently living in Maryland, so I'm in Bethesda, Maryland, and that's where I've been. And really enjoyed public health, community health, combining that aspect of sort of prevention and wellness and also working in making sure that we have community health clinics and safety net clinics. So a great experience there. I also had the privilege, after eight years in public health, I went to the National Institute of Health. >> Oh, wow. >> Where I basically worked in clinical research, basically on minority health and health disparities. So, I was in various leadership roles and helped to advance the science of health equity, working in collaboration with a lot of scientists and researchers at the NIH, really to advance the science. >> Where did your interest in health equity come from? Was there a defining moment when you were younger and you thought "There's a lot of inequities here, we have to do something about this." Where did that interest start? >> That's a great question. I think this influence was basically maybe from my upbringing as well as my family and also what I saw around me in Ghana, a lot of preventable diseases. I always say that my grandfather on my father's side was a great influence, inspired me and influenced my career because he was the only sibling, really, that went to school. And as a result, he was able to earn enough money and built, you know, a hospital. >> Oh wow. >> In their hometown. >> Oh my gosh! >> It started as a 20 bed hospital and now it's a 350 bed hospital. >> Oh, wow, that's amazing! >> In our hometown. And he knew that education was important and vital as well for wellbeing. And so he really inspired, you know, his work inspired me. And I remember in residency I went with a group of residents to this hospital in Ghana just to help over a summer break. So during a summer where we went and helped take care of the sick patients and actually learned, right? What it is like to care for so many patients and- >> Yeah. >> It was really a humbling experience. But that really inspired me. I think also being in this country. And when I came to the U.S. and really saw firsthand how patients are treated differently, based on their background or socioeconomic status. I did see firsthand, you know, that kind of unconscious bias. And, you know, drew me to the field of health disparities research and wanted to learn more and do more and contribute. >> Yeah. >> Yeah. So, I was curious. Just when did the data science aspect tap in? Like when did you decide that, okay, data science is going to be a problem solving tool to like all the problems you just said? >> Yeah, that's a good question. So while I was at the NIH, I spent eight years there, and precision medicine was launched at that time and there was a lot of heightened interest in big data and how big data could help really revolutionize medicine and healthcare. And I got the opportunity to go, you know, there was an opportunity where they were looking for physicians or deputy chief health officer at IBM. And so I went to IBM, Watson Health was being formed as a new business unit, and I was one of the first deputy chief health officers really to lead the data and the science evidence. And that's where I realized, you know, we could really, you know, the technology in healthcare, there's been a lot of data that I think we are not really using or optimizing to make sure that we're taking care of our patients. >> Yeah. >> And so that's how I got into data science and making sure that we are building technologies using the right data to advance health equity. >> Right, so talk a little bit about health equity? We mentioned you're with Marti Health. You've been there for a short time, but Marti Health is also quite new, just a few months old. Digital health equity, talk about what Marti's vision is, what its mission is to really help start dialing down a lot of the disparities that you talked about that you see every day? >> Yeah, so, I've been so privileged. I recently joined Marti Health as their Chief Medical Officer, Chief Health Officer. It's a startup that is actually trying to promote a value-based care, also promote patient-centered care for patients that are experiencing a social disadvantage as a result of their race, ethnicity. And were starting to look at and focused on patients that have sickle cell disease. >> Okay. >> Because we realize that that's a population, you know, we know sickle cell disease is a genetic disorder. It impacts a lot of patients that are from areas that are endemic malaria. >> Yeah. >> Yeah. >> And most of our patients here are African American, and when, you know, they suffer so much stigma and discrimination in the healthcare system and complications from their sickle cell disease. And so what we want to do that we feel like sickle cell is a litmus test for disparities. And we want to make sure that they get in patient-centered care. We want to make sure that we are leveraging data and the research that we've done in sickle cell disease, especially on the continent of Africa. >> Okay. >> And provide, promote better quality care for the patients. >> That's so inspiring. You know, we've heard so many great stories today. Were you able to watch the keynote this morning? >> Yes. >> I loved how it always inspires me. This conference is always, we were talking about this all day, how you walk in the Arrillaga Alumni Center here where this event is held every year, the vibe is powerful, it's positive, it's encouraging. >> Inspiring, yeah. >> Absolutely. >> Inspiring. >> Yeah, yeah. >> It's a movement, WIDS is a movement. They've created this community where you feel, I don't know, kind of superhuman. "Why can't I do this? Why not me?" We heard some great stories this morning about data science in terms of applications. You have a great application in terms of health equity. We heard about it in police violence. >> Yes. >> Which is an epidemic in this country for sure, as we know. This happens too often. How can we use data and data science as a facilitator of learning more about that, so that that can stop? I think that's so important for more people to understand all of the broad applications of data science, whether it's police violence or climate change or drug discovery or health inequities. >> Irene: Yeah. >> The potential, I think we're scratching the surface. But the potential is massive. >> Tracy: It is. >> And this is an event that really helps women and underrepresented minorities think, "Why not me? Why can't I get involved in that?" >> Yeah, and I always say we use data to make an make a lot of decisions. And especially in healthcare, we want to be careful about how we are using data because this is impacting the health and outcomes of our patients. And so science evidence is really critical, you know? We want to make sure that data is inclusive and we have quality data. >> Yes. >> And it's transparent. Our clinical trials, I always say are not always diverse and inclusive. And if that's going to form the evidence base or data points then we're doing more harm than good for our patients. And so data science, it's huge. I mean, we need a robust, responsible, trustworthy data science agenda. >> "Trust" you just brought up "trust." >> Yeah. >> I did. >> When we talk about data, we can't not talk about security and privacy and ethics but trust is table stakes. We have to be able to evaluate the data and trust in it. >> Exactly. >> And what it says and the story that can be told from it. So that trust factor is, I think, foundational to data science. >> We all see what happened with Covid, right? I mean, when the pandemic came out- >> Absolutely. >> Everyone wanted information. We wanted data, we wanted data we could trust. There was a lot of hesitancy even with the vaccine. >> Yeah. >> Right? And so public health, I mean, like you said, we had to do a lot of work making sure that the right information from the right data was being translated or conveyed to the communities. And so you are totally right. I mean, data and good information, relevant data is always key. >> Well- >> Is there any- Oh, sorry. >> Go ahead. >> Is there anything Marti Health is doing in like ensuring that you guys get the right data that you can put trust in it? >> Yes, absolutely. And so this is where we are, you know, part of it would be getting data, real world evidence data for patients who are being seen in the healthcare system with sickle cell disease, so that we can personalize the data to those patients and provide them with the right treatment, the right intervention that they need. And so part of it would be doing predictive modeling on some of the data, risk, stratifying risk, who in the sickle cell patient population is at risk of progressing. Or getting, you know, they all often get crisis, vaso-occlusive crisis because the cells, you know, the blood cell sickles and you want to avoid those chest crisis. And so part of what we'll be doing is, you know, using predictive modeling to target those at risk of the disease progressing, so that we can put in preventive measures. It's all about prevention. It's all about making sure that they're not being, you know, going to the hospital or the emergency room where sometimes they end up, you know, in pain and wanting pain medicine. And so. >> Do you see AI as being a critical piece in the transformation of healthcare, especially where inequities are concerned? >> Absolutely, and and when you say AI, I think it's responsible AI. >> Yes. >> And making sure that it's- >> Tracy: That's such a good point. >> Yeah. >> Very. >> With the right data, with relevant data, it's definitely key. I think there is so much data points that healthcare has, you know, in the healthcare space there's fiscal data, biological data, there's environmental data and we are not using it to the full capacity and full potential. >> Tracy: Yeah. >> And I think AI can do that if we do it carefully, and like I said, responsibly. >> That's a key word. You talked about trust, responsibility. Where data science, AI is concerned- >> Yeah. >> It has to be not an afterthought, it has to be intentional. >> Tracy: Exactly. >> And there needs to be a lot of education around it. Most people think, "Oh, AI is just for the technology," you know? >> Yeah, right. >> Goop. >> Yes. >> But I think we're all part, I mean everyone needs to make sure that we are collecting the right amount of data. I mean, I think we all play a part, right? >> We do. >> We do. >> In making sure that we have responsible AI, we have, you know, good data, quality data. And the data sciences is a multi-disciplinary field, I think. >> It is, which is one of the things that's exciting about it is it is multi-disciplinary. >> Tracy: Exactly. >> And so many of the people that we've talked to in data science have these very non-linear paths to get there, and so I think they bring such diversity of thought and backgrounds and experiences and thoughts and voices. That helps train the AI models with data that's more inclusive. >> Irene: Yes. >> Dropping down the volume on the bias that we know is there. To be successful, it has to. >> Definitely, I totally agree. >> What are some of the things, as we wrap up here, that you're looking forward to accomplishing as part of Marti Health? Like, maybe what's on the roadmap that you can share with us for Marti as it approaches the the second half of its first year? >> Yes, it's all about promoting health equity. It's all about, I mean, there's so much, well, I would start with, you know, part of the healthcare transformation is making sure that we are promoting care that's based on value and not volume, care that's based on good health outcomes, quality health outcomes, and not just on, you know, the quantity. And so Marti Health is trying to promote that value-based care. We are envisioning a world in which everyone can live their full life potential. Have the best health outcomes, and provide that patient-centered precision care. >> And we all want that. We all want that. We expect that precision and that personalized experience in our consumer lives, why not in healthcare? Well, thank you, Irene, for joining us on the program today. >> Thank you. >> Talking about what you're doing to really help drive the volume up on health equity, and raise awareness for the fact that there's a lot of inequities in there we have to fix. We have a long way to go. >> We have, yes. >> Lisa: But people like you are making an impact and we appreciate you joining theCUBE today and sharing what you're doing, thank you. >> Thank you. >> Thank you- >> Thank you for having me here. >> Oh, our pleasure. For our guest and Tracy Zhang, this is Lisa Martin from WIDS 2023, the eighth Annual Women in Data Science Conference brought to you by theCUBE. Stick around, our show wrap will be in just a minute. Thanks for watching. (light upbeat music)

(upbeat music) >> Hello, everyone welcome to theCube special presentation of the Unstoppable Domains partner showcase. I'm John Furrier, your host of theCube. We have here, Cube alumni, Sandy Carter, SVP and channel chief of Unstoppable Domains. Sandy, great to see you. Congratulations on your new assignment. Exciting new company, and thanks for coming on for the showcase. >> Well, thank you, John. It's so fun to always be here with you through all my companies, it's really great. Thanks for having me. >> Well, it's been pretty amazing what's going on in the world right now. We just had the past Super Bowl which is the biggest event in the world around advertising, a lot of Web 3.0, crypto, blockchain, decentralized applications. It's here, it's mainstream. We've talked off camera many times around the shifts in technology, cloud computing. We're now with Web 3.0 and some are even saying Web 4.0. (Sandy laughs) A lot of technology programmers, people who are building new things are all in the Web 3.0 world. It's really going mainstream. So what's your view on that? I see you're in it too. You're leading it. >> I am in it too. And it's so exciting to be at the verge of the next technology trend that's out there. And I'm really excited about this one, John because this is all about ownership. It's about members not users. It's quite fascinating to be honest. >> What is Web 3.0? What is Web 3.0? Define it for us 'cause you have a good knack for putting things in the perspective. People want to know what does this Web 3.0? What does it mean? >> Okay, great. That's a great question. In fact, I have just a couple of slides because I'm a visual learner. So I don't know if you guys could pop up just a couple of slides for us. So first to me, Web 3.0 is really all about this area of ownership and that's whether it's in gaming or art or even business applications today. In fact, let me show you an example. If you go to the next slide, you will see like with Twitter, and John, you and I were there, I was the first person to onstage announce that we were going to do tweets during a major event. And of course I started on Twitter back in 2008, pretty early on. And now the valuation of Twitter is going up, I got a lot of value and I helped to attract a lot of those early users. But my value was really based on the people, building my network, not based on that monetary valuation. So I really wasn't an owner. I was a user of Twitter and helped Twitter to grow. Now, if you go with me to the next slide you'll see just a little bit more about what we're talking about here and I know this is one of your favorites. So Web 1.0 was about discovery. We discovered a lot of information. Web 2.0 was about reading the information but also contributing with that two-way dialogue with social but Web 3.0 is now all about membership, not being a user but being a member and therefore having an ownership stake in the power of what's coming. And I think this is a big differential, John, if I had to just nail one thing. This would be the big differential. >> That's awesome. And I love that slide because it goes to the progression. Most people think of web 1.0 data, the worldwide web, web pages, browsers, search engines, Web 2.0, better interfaces. You got mobile, you got social networks. And then it got messy, bots and misinformation, users of the product being used by the companies. So clearly Web 3.0 is changing all that and I think the ownership thing is interesting because you think about it, we should own our data. We should have a data wallet. We should have all that stored. So this is really at the heart of what you guys are doing. So I think that's a great way to put it. I would ask you what's your impression when people you talk to in the mainstream industry that aren't in Web 3.0 that are coming in, what's their reaction? What do they think? What do they see? >> Well, a lot of what I see from Web 2.0 folks is that they don't understand it, first of all. They're not sure about it. And I always like to say that we're in the early days of Web 3.0. So we're in that dial up phase. What was that? Was that AOL? Remember that little that they used to make? >> (laughs) You've got mail. >> Yeah, you've got mail. That's right. That's where we are today with Web 3.0. And so it is early days and I think people are looking for something they can hang their hat on. And so one of the things that we've been working on are what would be the elements of Web 3.0? And if you could take me to one more slide and this will be my last slide, but again, I'm a very visual person. I think there are really five basic assumptions that Web 3.0 really hangs its hat on. The first is decentralization, or I say at least partially decentralized because today we're building on Web 2.0 technology and that is okay. Number two is that digital identity. That identity you just talked about, John where you take your identity with you. You don't have identity for Twitter, an identity for LinkedIn, an identity for a game. I can take my identity today, play a game with it, bank with it, now move on to a Metaverse with it, the same identity. The other thing we like to say is it's built on blockchain and we know that blockchain is still making a lot of improvements but it's getting better and better and better. It's trustless, meaning there's no in between party. You're going direct, user, member to institution, if you would. So there's no bank in between, for example. And then last but not least, it's financially beneficial for the people involved. It's not just that network effect that you're getting, it's actually financially beneficial for those folks. All five of those give us that really big push towards that ownership notion. >> One thing I would point out, first of all, great insight, I would also add and and love to get your reaction to it, and this is a great lead into the news, but there's also a diversity angle because this is a global phenomenon, okay? And it's also a lot of young cultural shift happening with the younger generation, but also technologists from all ages are participating and all genders. Everything's coming together. It's a melting pot. It's a global... This is like the earth is flat moment for us. This is an interesting time. What's your reaction to them? >> Absolutely and I believe that the more diverse the community can be, the more innovative it will be. And that's been proven out by studies, by McKenzie and Deloitte and more. I think this is a moment for Web 3.0 to be very inclusive. And the more inclusive that Web 3.0 is, the bigger the innovation and the bigger the power and the bigger that dream of ownership will become a reality. So I'm 100% with you on the diversity angle for sure. >> So big new news tomorrow launching. This is super exciting. First of all, I love the acronym, but I love the news. Take us through the big announcement that you're having. >> Yeah. So John, we are so excited. We have over 55 different companies joining together to form Unstoppable Women of Web 3.0, or we call it WOW3. Unstoppable WOW3. And the mission is really clear and very inclusive. The first is that we want to make Web 3.0 accessible for everyone. The second is we don't want to just say we want it accessible for everyone, we want to help with that first step. We're going to be giving away $10 million worth of domains from Unstoppable which we believe is that first step into Web 3.0. And then we're going to be action oriented. We don't want to just say we're going to help you get started or just say that Web 3.0 is accessible, we're going to launch education, networking, and events. So for example, we've got our first in person event that will occur at South by Southwest. Our first virtual event will occur on March 8th which is International Women's Day and there'll be two components of it. One is an hour YouTube Live so that people can come in and ask questions and then we've got a 24 hour Twitter space. So almost every half an hour or every hour on the hour, you're going to have these amazing women talk to you about what is DeFi? What is minting? What is Web 3.0 all about? Why gaming in Web 3.0? I mean, it's just going to be phenomenal. And in that we want to support each other as we're moving forward. This whole concept of from the very beginning, we want Web 3.0 to be diverse. >> And I want to also point out that you've got some activities on the March 8th International Women's Day but it's always every day in this community because it's a community. So this whole idea of community inclusion continues every day. Talk about those activities you're having on March 8th. Can you share what's happening on International Women's Day? >> Yeah, so first we're going to have a YouTube Live where we're going to go in detail into what is Web 3.0? What is DeFi? What is an NFT and why do they exist? Then we're going to have this 24 hour Twitter spaces where we've got all these different guest speakers from the 55 different companies that are supporting the initiative. We're also going to launch a list of the 100 most inspirational women of Web 3.0. We're going to do that twice a year. And we decided John not to do the top women, but the women that are inspirational, who are pioneering the trail, who are having an impact. And so we want it to be a community. So it's 100 of the most inspirational women of Web 3.0. We're also setting up a Web 3.0 Women's Speakers Bureau. So I cannot tell you, John, how many time people will call me up and they'll be like, "We really want you to speak here." And when I really get down to it, they really want me because I'm a woman that can speak about Web 3.0 but there are so many women who can do this. And so I wanted to have a place where everybody could come and see how many different diverse people we have that could speak out this. >> Yeah, and that's a great thing because there are a lot of women who can speak on this. They just have to have their voices found. So there's a lot of discovery in that format. Is there any plans to go beyond? You mentioned some workshops, what other things... Can you give another quick highlight of the things else you're doing post the event? >> Yeah, so one of the big things post the event is working with Girls in Tech, and I know you know Adriana. We are going to host on their platform. They have a platform for mentoring. We're going to host a track for Web 3.0 and during International Women's Day, we're going to auction off some NFTs that will contribute to that mentoring platform. So we've got folks like Lazy Lions and Bella and Deadheads that are going to donate NFTs. We'll auction those off and then that will enable the ongoing platform of Girls in Tech to have that mentoring that will be available for the next generation. We'll also do events, both virtually through Twitter spaces and other means as well as in-person events. I just mentioned at South by Southwest which I'm really looking forward to. We're going to have our first in-person event on March the 12th. It's going to be a brunch. A lot of the women told me, John, that they go to all these Web 3.0 or crypto events and everything's like a frat party in the evening. And they're like, "Why can't we just have a nice brunch and sit down and talk about it?" (John laughs) So at South by Southwest that is exactly what we're going to do. We're going to have a brunch and we're going to sit down and talk about it with all of these companies. And John, one of the things that's amazing to me is that we have over 55 companies that are all coming together to support this initiative. To me, that was just overwhelming. I was hoping to get about 20 companies and so far we have 55. So I'm feeling so excited and so empowered by what I see as the potential for this group. >> Yeah, well, first of all, congratulations. That's a really great thing you're doing. If you need place on theCube to post those videos, if you can get copies, we'd be glad to share them as well 'cause it's super important to get all the great minds out there that are working on Web 3.0 and have them showcased. I got to ask you now that you're in the trenches now, doing all this great work. What are some of the buzzwords that people should know about in Web 3.0? You mentioned to five main pillars as well as the ownership, the paradigm shift, we got that. What are some of the buzzword that people should know about? How would you rank those? >> Well, I think there are a couple. Let's see. I mean, one is if you think about it, what is a decentralized application? Some people call them Dapps. Dapps, you'll hear that a lot. And a decentralized application just means that you are leveraging and using multiple forms. There's no centralization of the back end. So everything is decentralized or moving around. Another is the gas fee. This comes up a lot, many people think, "Oh yeah, I put gas in my car." But a gas fee in Web 3.0 is you're actually paying for those decentralized computers that you're using. So in a centralized land, a company owns those computers. In a decentralized land, since you're using all these different assets, you've got to pay for them and that's what the gas fee is for. The gas fee is to pay for those particular types of solutions. And many of these terms that we're talking about minting, what is an NFT, we'll be explaining all of these terms on International Women's Day in that 24 hour Twitter space as well. >> We'll look forward to that Twitter space. We'll share as well. In the Web 3.0 world, when you look at it, when you look at what Unstoppable's doing, it's a paradigm shift. You laid it out there. What is the bottom line? What's the most practical thing people are doing with the domains? 'Cause it is definitely headroom in terms of capability, single sign on, you own your own data, integrating into wallet and decentralized applications and creating this new wave just like the web. More web pages, better search. More pages, the search has to get better, flywheel kicking in. What's the flywheel for Unstoppable? >> Well, I think the flywheel is the really around digital identity. It's why I came to Unstoppable because I believe that the data about you should be owned by you and that identity now travels with you. It's your wallet, it's your healthcare data, it's your educational records, and it's more. So in the future, that digital identity is going to become so much more important than it is today. And oh my gosh, John, it's going to be used in so many different ways that we can't even imagine it now. So for me, I think that digital identity and it really puts that ownership right in the hands of the members, not in anyone else's hands, a company, a government, et cetera. It puts the ownership of that data in your hands. >> I just love these big waves, these shifts, because you mentioned healthcare. Imagine an NFT is that sign on where you don't have to worry about all these HIPAA regulations. You can just say, "Here's me. Here's who I'm trusted." And they don't even know my name, but they know it's trusted. >> And everything just trickles down from there. >> That's right. >> And all the databases are called. It's all immutable. I got my private key. It unlocks so much potential in a new way. Really is amazing. >> I agree. And even just think about education. I was with Arizona State University and so my daughter took some classes at a community college and I wanted to get those classes and have those credits available for her university. How hard is that? Just to get that education and everything is paper and I had to physically sign, I had to physically mail it. It was pretty crazy. So now imagine that your digital identity contains all of your degrees, all of the skills that you've gone through all of your experiences, John. You told me before the show, all different experiences that you have that I didn't know about. I'm sure a lot of people didn't. What if you had that piece of you that would be available that you could use it at any time. >> It's locked in LinkedIn. There's a silo. Again, I'm a huge believer in silo busting going on. This new generation is not going to tolerate experiences that don't fit their mission. They want to have liberation on their data. They don't want to be the product. They want to have the value. >> That's right. >> And then broker that value for services and be able to be horizontally scalable and pop around from place to place without logging in again or having that siloed platform have the data like LinkedIn. You mentioned my resume's on basically LinkedIn, but I got webpages. I got some stories. I got videos. I'm all over the place. I need an NFT. >> And just think about LinkedIn, John. You could say that you graduated from Yale and didn't even graduate from Yale because nobody double checks that but in a wallet, if Yale actually sent that information in so you could verify it. It's that verification that's done over the blockchain, that immutable verification that I find to be very powerful. And John, we were just chatting with some companies earlier today that are Web 2.0 companies and they're like, "Oh, okay. All this is just for people? It's just for consumers?" And I was like, "No, this is for B2B. You've got to start thinking about this as a company." So for example, if you're a company today, how are you going to entice users to let you see some of their data? How are you going to look at ownership when it might be done via a dow and maybe a part of a piece of art, a part of a company, a part of real estate, like Parcel who you guys are going to talk to later on. Look at how that is going to change the world. It's going to change the way funds are raised. It's going to change the way you buy carbon credits, the way you buy art. If you're a consumer company, think about games and endgame economics. People are now playing game that money is real and your brand could be positioned. Have you thought about that? >> Yeah, I think that point you mentioned earlier about Twitter being the user, you had some personal connection, we didn't monetize it. Now with Web 3.0, you own it. One of the things that I see happening and it's coming out a lot of the Unstoppable interviews as well as what we're seeing in the marketplace is that the communities are part owners of the talent of whether it's an artist, a music artist, could be theCube team. The communities are part of the fabric of the overall group ownership. So you're starting to see you mentioned dows, okay? It's one kind of it. So as users become in control of their data and owning it, they're also saying, "Hey I want to be part of someone else." Artists are saying, " Be my stockholder. Own my company." >> That's right. >> So you start to see ownership concept not just be about the individual, it's about the groups. >> Right. And it's about companies too. So I'm hoping that as part of our Unstoppable Women of Web 3.0, we do have several companies who have joined us that are what I would say, traditionally Web 2.0 companies, trying to go over the chasm into Web 3.0. And I do think it's really important that companies of all types and sizes start looking at the implication of that ownership model and what that does. So for example, it's a silly one, but a simple one. I bought a Lazy Lion. It was actually part of my signing bonus, which is also interesting. My signing bonus was an NFT and now my Lazy Lion, I now own that Lazy Lion but the artist also gets a potential percentage of that. I can put my Lazy Lion on a t-shirt. I could name a store after my Lazy Lion because now it's mine. I own it. I own that asset. And now myself and the artists are teamed together. We're like a joint venture together. It's fascinating new models and there are so many of them. After ETHDenver, I was reading some of the key takeaways. And I think the biggest key takeaway was that this space is moving so fast with so much new information that you really have to pick one or two things and just go really deep so that you really understand them versus trying to go so wide that you can't understand everything at one time and to keep up it's a mission today to keep up. >> That interesting example about the Lazy Lion, the artist in relationship with you, that's a smart contract. There's no law firm doing that. It's the blockchain. Disintermediation is happening. >> It's trustless. Back to those five things we talked about. It's on the blockchain, it's decentralized at least partially, it's a digital identity, it's financially beneficial to you and it's trustless. That's what that is. It's a smart contract. There's no in between >> Can't change. It's immutable. Can't hack. Once it's on the blockchain, you're good to go. Sandy, well, congratulations. Great to see you. Unstoppable Women of Web3, WOW3. Great acronym. We're going to support you. We're going to put you on our March 8th site we're putting together. Great to have you on. Congratulations and thanks for sharing the big news. >> Thank you so much, John. Great to be on. >> Okay, this is theCube coverage of Unstoppable Domain partner showcase. I'm John Furrier, your host, here with Sandy Carter. Thanks for watching. (upbeat music)

(upbeat music) >> Hello, everyone welcome to theCube special presentation of the Unstoppable Domains partner showcase. I'm John Furrier, your host of theCube. We have here, Cube alumni, Sandy Carter, SVP and channel chief of Unstoppable Domains. Sandy, great to see you. Congratulations on your new assignment. Exciting new company, and thanks for coming on for the showcase. >> Well, thank you, John. It's so fun to always be here with you through all my companies, it's really great. Thanks for having me. >> Well, it's been pretty amazing what's going on in the world right now. We just had the past Super Bowl which is the biggest event in the world around advertising, a lot of Web 3.0, crypto, blockchain, decentralized applications. It's here, it's mainstream. We've talked off camera many times around the shifts in technology, cloud computing. We're now with Web 3.0 and some are even saying Web 4.0. (Sandy laughs) A lot of technology programmers, people who are building new things are all in the Web 3.0 world. It's really going mainstream. So what's your view on that? I see you're in it too. You're leading it. >> I am in it too. And it's so exciting to be at the verge of the next technology trend that's out there. And I'm really excited about this one, John because this is all about ownership. It's about members not users. It's quite fascinating to be honest. >> What is Web 3.0? What is Web 3.0? Define it for us 'cause you have a good knack for putting things in the perspective. People want to know what does this Web 3.0? What does it mean? >> Okay, great. That's a great question. In fact, I have just a couple of slides because I'm a visual learner. So I don't know if you guys could pop up just a couple of slides for us. So first to me, Web 3.0 is really all about this area of ownership and that's whether it's in gaming or art or even business applications today. In fact, let me show you an example. If you go to the next slide, you will see like with Twitter, and John, you and I were there, I was the first person to onstage announce that we were going to do tweets during a major event. And of course I started on Twitter back in 2008, pretty early on. And now the valuation of Twitter is going up, I got a lot of value and I helped to attract a lot of those early users. But my value was really based on the people, building my network, not based on that monetary valuation. So I really wasn't an owner. I was a user of Twitter and helped Twitter to grow. Now, if you go with me to the next slide you'll see just a little bit more about what we're talking about here and I know this is one of your favorites. So Web 1.0 was about discovery. We discovered a lot of information. Web 2.0 was about reading the information but also contributing with that two-way dialogue with social but Web 3.0 is now all about membership, not being a user but being a member and therefore having an ownership stake in the power of what's coming. And I think this is a big differential, John, if I had to just nail one thing. This would be the big differential. >> That's awesome. And I love that slide because it goes to the progression. Most people think of web 1.0 data, the worldwide web, web pages, browsers, search engines, Web 2.0, better interfaces. You got mobile, you got social networks. And then it got messy, bots and misinformation, users of the product being used by the companies. So clearly Web 3.0 is changing all that and I think the ownership thing is interesting because you think about it, we should own our data. We should have a data wallet. We should have all that stored. So this is really at the heart of what you guys are doing. So I think that's a great way to put it. I would ask you what's your impression when people you talk to in the mainstream industry that aren't in Web 3.0 that are coming in, what's their reaction? What do they think? What do they see? >> Well, a lot of what I see from Web 2.0 folks is that they don't understand it, first of all. They're not sure about it. And I always like to say that we're in the early days of Web 3.0. So we're in that dial up phase. What was that? Was that AOL? Remember that little that they used to make? >> (laughs) You've got mail. >> Yeah, you've got mail. That's right. That's where we are today with Web 3.0. And so it is early days and I think people are looking for something they can hang their hat on. And so one of the things that we've been working on are what would be the elements of Web 3.0? And if you could take me to one more slide and this will be my last slide, but again, I'm a very visual person. I think there are really five basic assumptions that Web 3.0 really hangs its hat on. The first is decentralization, or I say at least partially decentralized because today we're building on Web 2.0 technology and that is okay. Number two is that digital identity. That identity you just talked about, John where you take your identity with you. You don't have identity for Twitter, an identity for LinkedIn, an identity for a game. I can take my identity today, play a game with it, bank with it, now move on to a Metaverse with it, the same identity. The other thing we like to say is it's built on blockchain and we know that blockchain is still making a lot of improvements but it's getting better and better and better. It's trustless, meaning there's no in between party. You're going direct, user, member to institution, if you would. So there's no bank in between, for example. And then last but not least, it's financially beneficial for the people involved. It's not just that network effect that you're getting, it's actually financially beneficial for those folks. All five of those give us that really big push towards that ownership notion. >> One thing I would point out, first of all, great insight, I would also add and and love to get your reaction to it, and this is a great lead into the news, but there's also a diversity angle because this is a global phenomenon, okay? And it's also a lot of young cultural shift happening with the younger generation, but also technologists from all ages are participating and all genders. Everything's coming together. It's a melting pot. It's a global... This is like the earth is flat moment for us. This is an interesting time. What's your reaction to them? >> Absolutely and I believe that the more diverse the community can be, the more innovative it will be. And that's been proven out by studies, by McKenzie and Deloitte and more. I think this is a moment for Web 3.0 to be very inclusive. And the more inclusive that Web 3.0 is, the bigger the innovation and the bigger the power and the bigger that dream of ownership will become a reality. So I'm 100% with you on the diversity angle for sure. >> So big new news tomorrow launching. This is super exciting. First of all, I love the acronym, but I love the news. Take us through the big announcement that you're having. >> Yeah. So John, we are so excited. We have over 55 different companies joining together to form Unstoppable Women of Web 3.0, or we call it WOW3. Unstoppable WOW3. And the mission is really clear and very inclusive. The first is that we want to make Web 3.0 accessible for everyone. The second is we don't want to just say we want it accessible for everyone, we want to help with that first step. We're going to be giving away $10 million worth of domains from Unstoppable which we believe is that first step into Web 3.0. And then we're going to be action oriented. We don't want to just say we're going to help you get started or just say that Web 3.0 is accessible, we're going to launch education, networking, and events. So for example, we've got our first in person event that will occur at South by Southwest. Our first virtual event will occur on March 8th which is International Women's Day and there'll be two components of it. One is an hour YouTube Live so that people can come in and ask questions and then we've got a 24 hour Twitter space. So almost every half an hour or every hour on the hour, you're going to have these amazing women talk to you about what is DeFi? What is minting? What is Web 3.0 all about? Why gaming in Web 3.0? I mean, it's just going to be phenomenal. And in that we want to support each other as we're moving forward. This whole concept of from the very beginning, we want Web 3.0 to be diverse. >> And I want to also point out that you've got some activities on the March 8th International Women's Day but it's always every day in this community because it's a community. So this whole idea of community inclusion continues every day. Talk about those activities you're having on March 8th. Can you share what's happening on International Women's Day? >> Yeah, so first we're going to have a YouTube Live where we're going to go in detail into what is Web 3.0? What is DeFi? What is an NFT and why do they exist? Then we're going to have this 24 hour Twitter spaces where we've got all these different guest speakers from the 55 different companies that are supporting the initiative. We're also going to launch a list of the 100 most inspirational women of Web 3.0. We're going to do that twice a year. And we decided John not to do the top women, but the women that are inspirational, who are pioneering the trail, who are having an impact. And so we want it to be a community. So it's 100 of the most inspirational women of Web 3.0. We're also setting up a Web 3.0 Women's Speakers Bureau. So I cannot tell you, John, how many time people will call me up and they'll be like, "We really want you to speak here." And when I really get down to it, they really want me because I'm a woman that can speak about Web 3.0 but there are so many women who can do this. And so I wanted to have a place where everybody could come and see how many different diverse people we have that could speak out this. >> Yeah, and that's a great thing because there are a lot of women who can speak on this. They just have to have their voices found. So there's a lot of discovery in that format. Is there any plans to go beyond? You mentioned some workshops, what other things... Can you give another quick highlight of the things else you're doing post the event? >> Yeah, so one of the big things post the event is working with Girls in Tech, and I know you know Adriana. We are going to host on their platform. They have a platform for mentoring. We're going to host a track for Web 3.0 and during International Women's Day, we're going to auction off some NFTs that will contribute to that mentoring platform. So we've got folks like Lazy Lions and Bella and Deadheads that are going to donate NFTs. We'll auction those off and then that will enable the ongoing platform of Girls in Tech to have that mentoring that will be available for the next generation. We'll also do events, both virtually through Twitter spaces and other means as well as in-person events. I just mentioned at South by Southwest which I'm really looking forward to. We're going to have our first in-person event on March the 12th. It's going to be a brunch. A lot of the women told me, John, that they go to all these Web 3.0 or crypto events and everything's like a frat party in the evening. And they're like, "Why can't we just have a nice brunch and sit down and talk about it?" (John laughs) So at South by Southwest that is exactly what we're going to do. We're going to have a brunch and we're going to sit down and talk about it with all of these companies. And John, one of the things that's amazing to me is that we have over 55 companies that are all coming together to support this initiative. To me, that was just overwhelming. I was hoping to get about 20 companies and so far we have 55. So I'm feeling so excited and so empowered by what I see as the potential for this group. >> Yeah, well, first of all, congratulations. That's a really great thing you're doing. If you need place on theCube to post those videos, if you can get copies, we'd be glad to share them as well 'cause it's super important to get all the great minds out there that are working on Web 3.0 and have them showcased. I got to ask you now that you're in the trenches now, doing all this great work. What are some of the buzzwords that people should know about in Web 3.0? You mentioned to five main pillars as well as the ownership, the paradigm shift, we got that. What are some of the buzzword that people should know about? How would you rank those? >> Well, I think there are a couple. Let's see. I mean, one is if you think about it, what is a decentralized application? Some people call them Dapps. Dapps, you'll hear that a lot. And a decentralized application just means that you are leveraging and using multiple forms. There's no centralization of the back end. So everything is decentralized or moving around. Another is the gas fee. This comes up a lot, many people think, "Oh yeah, I put gas in my car." But a gas fee in Web 3.0 is you're actually paying for those decentralized computers that you're using. So in a centralized land, a company owns those computers. In a decentralized land, since you're using all these different assets, you've got to pay for them and that's what the gas fee is for. The gas fee is to pay for those particular types of solutions. And many of these terms that we're talking about minting, what is an NFT, we'll be explaining all of these terms on International Women's Day in that 24 hour Twitter space as well. >> We'll look forward to that Twitter space. We'll share as well. In the Web 3.0 world, when you look at it, when you look at what Unstoppable's doing, it's a paradigm shift. You laid it out there. What is the bottom line? What's the most practical thing people are doing with the domains? 'Cause it is definitely headroom in terms of capability, single sign on, you own your own data, integrating into wallet and decentralized applications and creating this new wave just like the web. More web pages, better search. More pages, the search has to get better, flywheel kicking in. What's the flywheel for Unstoppable? >> Well, I think the flywheel is the really around digital identity. It's why I came to Unstoppable because I believe that the data about you should be owned by you and that identity now travels with you. It's your wallet, it's your healthcare data, it's your educational records, and it's more. So in the future, that digital identity is going to become so much more important than it is today. And oh my gosh, John, it's going to be used in so many different ways that we can't even imagine it now. So for me, I think that digital identity and it really puts that ownership right in the hands of the members, not in anyone else's hands, a company, a government, et cetera. It puts the ownership of that data in your hands. >> I just love these big waves, these shifts, because you mentioned healthcare. Imagine an NFT is that sign on where you don't have to worry about all these HIPAA regulations. You can just say, "Here's me. Here's who I'm trusted." And they don't even know my name, but they know it's trusted. >> And everything just trickles down from there. >> That's right. >> And all the databases are called. It's all immutable. I got my private key. It unlocks so much potential in a new way. Really is amazing. >> I agree. And even just think about education. I was with Arizona State University and so my daughter took some classes at a community college and I wanted to get those classes and have those credits available for her university. How hard is that? Just to get that education and everything is paper and I had to physically sign, I had to physically mail it. It was pretty crazy. So now imagine that your digital identity contains all of your degrees, all of the skills that you've gone through all of your experiences, John. You told me before the show, all different experiences that you have that I didn't know about. I'm sure a lot of people didn't. What if you had that piece of you that would be available that you could use it at any time. >> It's locked in LinkedIn. There's a silo. Again, I'm a huge believer in silo busting going on. This new generation is not going to tolerate experiences that don't fit their mission. They want to have liberation on their data. They don't want to be the product. They want to have the value. >> That's right. >> And then broker that value for services and be able to be horizontally scalable and pop around from place to place without logging in again or having that siloed platform have the data like LinkedIn. You mentioned my resume's on basically LinkedIn, but I got webpages. I got some stories. I got videos. I'm all over the place. I need an NFT. >> And just think about LinkedIn, John. You could say that you graduated from Yale and didn't even graduate from Yale because nobody double checks that but in a wallet, if Yale actually sent that information in so you could verify it. It's that verification that's done over the blockchain, that immutable verification that I find to be very powerful. And John, we were just chatting with some companies earlier today that are Web 2.0 companies and they're like, "Oh, okay. All this is just for people? It's just for consumers?" And I was like, "No, this is for B2B. You've got to start thinking about this as a company." So for example, if you're a company today, how are you going to entice users to let you see some of their data? How are you going to look at ownership when it might be done via a dow and maybe a part of a piece of art, a part of a company, a part of real estate, like Parcel who you guys are going to talk to later on. Look at how that is going to change the world. It's going to change the way funds are raised. It's going to change the way you buy carbon credits, the way you buy art. If you're a consumer company, think about games and endgame economics. People are now playing game that money is real and your brand could be positioned. Have you thought about that? >> Yeah, I think that point you mentioned earlier about Twitter being the user, you had some personal connection, we didn't monetize it. Now with Web 3.0, you own it. One of the things that I see happening and it's coming out a lot of the Unstoppable interviews as well as what we're seeing in the marketplace is that the communities are part owners of the talent of whether it's an artist, a music artist, could be theCube team. The communities are part of the fabric of the overall group ownership. So you're starting to see you mentioned dows, okay? It's one kind of it. So as users become in control of their data and owning it, they're also saying, "Hey I want to be part of someone else." Artists are saying, " Be my stockholder. Own my company." >> That's right. >> So you start to see ownership concept not just be about the individual, it's about the groups. >> Right. And it's about companies too. So I'm hoping that as part of our Unstoppable Women of Web 3.0, we do have several companies who have joined us that are what I would say, traditionally Web 2.0 companies, trying to go over the chasm into Web 3.0. And I do think it's really important that companies of all types and sizes start looking at the implication of that ownership model and what that does. So for example, it's a silly one, but a simple one. I bought a Lazy Lion. It was actually part of my signing bonus, which is also interesting. My signing bonus was an NFT and now my Lazy Lion, I now own that Lazy Lion but the artist also gets a potential percentage of that. I can put my Lazy Lion on a t-shirt. I could name a store after my Lazy Lion because now it's mine. I own it. I own that asset. And now myself and the artists are teamed together. We're like a joint venture together. It's fascinating new models and there are so many of them. After ETHDenver, I was reading some of the key takeaways. And I think the biggest key takeaway was that this space is moving so fast with so much new information that you really have to pick one or two things and just go really deep so that you really understand them versus trying to go so wide that you can't understand everything at one time and to keep up it's a mission today to keep up. >> That interesting example about the Lazy Lion, the artist in relationship with you, that's a smart contract. There's no law firm doing that. It's the blockchain. Disintermediation is happening. >> It's trustless. Back to those five things we talked about. It's on the blockchain, it's decentralized at least partially, it's a digital identity, it's financially beneficial to you and it's trustless. That's what that is. It's a smart contract. There's no in between >> Can't change. It's immutable. Can't hack. Once it's on the blockchain, you're good to go. Sandy, well, congratulations. Great to see you. Unstoppable Women of Web3, WOW3. Great acronym. We're going to support you. We're going to put you on our March 8th site we're putting together. Great to have you on. Congratulations and thanks for sharing the big news. >> Thank you so much, John. Great to be on. >> Okay, this is theCube coverage of Unstoppable Domain partner showcase. I'm John Furrier, your host, here with Sandy Carter. Thanks for watching. (upbeat music)

>>Mm. Welcome back to the cubes. Continuous coverage of A W s reinvent 2021 were running one of the industry's most important and largest hybrid tech events of the year with A W S and its ecosystem partners. And, of course, special thanks to a M D for supporting this year's editorial coverage at the event we got to live sets we had to remote sets one in Boston, one in Palo Alto. We've got more than 100 guests coming on the programme and we're looking >>deep into >>the next decade of cloud innovation. We're super excited to be joined by Ali Zafar, who is the senior director of platform strategy and operations at Dropbox Ali. Great to see you. Thanks for coming on. >>Awesome. It's a pleasure to be here with you, Dave. >>So Hey, what's your day job like at Dropbox? What's your role? >>Got it? Yeah. So I actually oversee the global supply chain at Dropbox. Also all of the capacity planning which entails both our budget and also capacity requirements and Dropbox. And then I also focus on the platform product management side which is basically building our build vs buy and our overall roadmap for our platform in the long run. >>Great. Thank you. So I mean, everybody knows Dropbox, But maybe you can talk a little bit about your business, your mission and how that's evolved. Over the past several years. >>Dropbox is a global collaboration platform, and our mission at Dropbox is to help design a more enlightened way of working. Dropbox has over 700 million registered users and over 550 billion pieces of content. So taking a step back, they've dropbox health. Let's use all of your content. Think of this as videos as music. Even your tax returns allows you to organise all of this content. And then you can share this content with anybody at any time. You can also take Dropbox to work. And actually, it makes you even more productive in the workplace integrating all of your tools seamlessly, also allowing you to collaborate with all of your teams internally and also externally. >>Yeah, so thank you. Uh, when Dropbox was founded, I mean, the cloud was really nascent, right? So it was early days, and so a lot has changed since you know, the mid last decade. And of course, with remote work and hybrid work that had to be a real tailwind to your business. But maybe you could explain your cloud and your hybrid cloud strategy. >>You're spot on Dave. So Dropbox has always been hybrid since its inception in 2000 and seven. And when I say hybrid, I mean, we have our own on prime infrastructure, and then we also leverage Public Cloud. Now, Public cloud still to these days remains absolutely critical for Dropbox to serve all of its customer needs. And when we talk about the decision between public or private, we think about three or four key things. One is the total cost of ownership. Look at the market. We also look at our customer requirements and the latest technology that's available in the market and then any international data storage requirements to make the decision of going towards public or private for that specific use case. >>So what if we could follow up on that? Like maybe you can talk about the key business, these conditions as a as a SAS storage provider? What are the real drivers in in your business framework? >>Got it at the end of the day, what really matters for us. There is to actually think about our customers and delight them And what better than to focus on performance, reliability and also security. Right. So we want to make sure that the infrastructure that we have today allows Dropbox to actually solve for the specific use case for our customers. What do they care about while also doing this in a very efficient management Manage, uh, way So to summarise that looking at performance, looking at liability, looking at scalability, looking at efficiency and then also compliance >>So that leads me to My next question is about the EC two instances that you use. I know you. You make heavy use of AMG compute. How >>did you >>come to that decision? Was that these factors was all performance. How did you migrate to really enable that capability? How complex was that? >>MD has has been a key strategic partners the partnership as well over 4 to 5 years right now and we've been leveraging them on our on prem infrastructure for compute. So we've always had aimed in our infrastructure. And when the time came where aws was also leveraging some of the MD instances, we wanted to see how we can expand the partnership with AMG and A W S and also experiment with these instances. So we looked at some of the tooling updates that were required. We also looked at specific instances which are either compute optimised and memory optimised instances. And then we actually build our footprint on M D. And what we saw is that the overall performance improvements and also cost improvements that we got for specific workloads. It was actually extremely, uh, overall awesome results for Dropbox and our customers, and we have been using them ever since. >>What kind of business impact did that make that make a difference to your business? That was noticeable >>on the business side, I think primarily it was more on the TCO side, which is where we got most of the benefits on the cost side. Um, and then also for some of our internal work clothes, we also saw benefit, uh, to our internal developers that are using some of those work clothes. >>Well, so you guys have kind of become the poster child for hybrid. A lot has been talked about about you all, but I wonder if you could help us understand what part of your infrastructure is going to be better served by public cloud versus kind of doing your own. I t on Prem. What are some of the value drivers that are that are making, you know, push workloads into the public cloud? Help us understand that better and squint through that >>got ready. I get asked that question a lot. So public cloud in general allows for faster go to market, Think about this as, like product launches teacher launches also international expansion. It allows us to scale and then also leveraging some of the existing technologies out there in the market for some of the common workloads. So just, you know, taking a step back and thinking about Dropbox. We keep on evaluating also the criteria and then also specific workloads on what makes sense on private or public load. And a W s had some instances, like as three rds and EC to that when we started looking at, we knew that some of our key services, like data platform, some parts of our, um, Melania and even paper platform would make more sense for us to actually leverage. Uh, some of these in public cloud for that. >>So what are the sort of characteristics of the workload that are sort of better suited to be in AWS? You know, what's the ideal workload profile? You know, we talk about ideal customer profile. What's the ideal workload profile for the for the AWS Cloud. >>Got it. So the way we think about it, at least we call it the rule of three at Dropbox. Um, and that means we look at scale. First, we look at technology and innovation. Um, and what I mean by that is, is there faster innovation in the public cloud? And is the workload common enough that there's already a lot of work going on in public Cloud? Then there's no reason for us to actually innovate faster than that. We probably can't. And if the scale is not large enough, right? So when we talk about our storage side like magic pocket, the scale is large enough. We're innovating. There makes sense, and it's better for the end customer, so we will probably go towards private cloud there. But then, when we talk about like international expansion, when we talk about, like, faster go to market or some of the innovation in the space. It really makes sense to use public Cloud because of all of the advancements that we've seen there. >>Yeah, so let me circle back to the sort of business benefits and impact of the sort of a MD based compute specifically. But you talked about TCO before. So there's certain things you mentioned on Prem you sometimes use You mean right. If the thing is hardened, you don't want to necessarily rip and replace it. But if you can accelerate, go to market and you spin up things in the cloud that makes sense. You mentioned customer requirements. So that's just kind of depends. And then the international expansion and scale. So it kind of comes down to those whatever. Four or five factors, right? Tco those other factors that I mentioned kind of the high level benefits, if you could, wouldn't mind summarising for us. Ali. >>Yeah, I think you're spot on there. So it's looking at the overall Decio, right? The cost of serving the overall cloud looking at like go to market in general, like can we leverage public cloud and go to market faster? Obviously, meeting that end customer requirements. We also looked at like international expansion, like any of the customer's data that is stored outside of the US is all on public load for Dropbox. Uh, no plans in the short term to do something different there, Um and then also just looking at, like I mentioned anything in the technology space that is ongoing, that we can leverage features side or the product side for our customers, like at Yale or, uh, VRML. We are going to leverage Public cloud there. >>So of course you know we've we've followed the progression of semiconductor technology for decades. This industry has marched to the cadence of performance improvements. What are the one of the futures hold from a technology roadmap standpoint, particularly as it relates to leveraging AMG EC Two instances, Ali >>got it. So drop boxes in a very unique position where we actually leverage AMG both on Prem and for public le leveraging some of the AWS EC two instances like like you mentioned and epic processors from MDR what we're using today, both on the hybrid infrastructure site and the performance and also the d. C o benefits are real and something that we are observing on a day to day basis. So we are gonna be leveraging that technology even in the future. Um, and the partnership with the MD continues to be very, very strong for Dropbox. >>Well, I really, really appreciate you coming on the cube as part of our coverage is great to have You love to have you back sometime. >>Awesome. Thank you. And also just last thing we wanted to also call out that we are also going to be experimenting with probably Milan that is coming out. Uh, room is the current process is from a m D. That we have been leveraging. And as Milan comes available, we do wanna continue to evaluate it and see how we can fit it in our infrastructure. >>Okay, So their their generations are city based, the all Italian city based. They were going to run out of cities soon. >>God, uh, again, the partnership with both A W s and an M. D is something that I'm very proud of. Execution. Thank you, Dave. >>Great to have you, Ali. And really appreciate you watching. Keep it right there for more action on the cube. Your leader in hybrid tech event coverage. Mhm.

(bright upbeat music) >> Announcer: From theCUBE studios in Palo Alto in Boston, connecting with thought leaders around the globe, these are Cloud Native Insights. >> Hi, I'm Stu Miniman, the host of Cloud Native Insights. We talk about cloud native, we're talking about how customers can take advantage of the innovation and agility that's out there in the clouds, one of the undercurrents, not so hidden if you've been watching the program so far. We've talked a bit about serverless, say something that's helping remove the friction, allowed developers to take advantage of technology and definitely move really fast. So I'm really happy to welcome to the program, for coming from Fauna. First of all, I have the CTO and Co-founder, who's Evan Weaver. And also joining him is the new CEO Eric Berg. They said, both from Fauna, talking serverless, talking data as an API and talking the modern database. So first of all, thank you both for joining us. >> Thanks for having us Stu. >> Hi, good to be here. >> All right, so Evan, we're going to start with you. I love talking to founders always. If you could take us back a little bit, Fauna as a project first before it was a company, you of course were an early employee at Twitter. So if you could just bring us back a little bit, what created the Fauna project and bring us through a brief history if you would. >> So I was employee 15 and Twitter, I joined in 2008. And I had a database background, I was sort of a performance analyst and worked on Ruby on Rails sites at CNET networks with the team that went on to found GitHub actually. Now I went to Twitter 'cause I wanted Twitter the product to stay alive. And for no greater ambition than that. And I ended up running the back end engineering team there and building out all the distributed storage for the core business objects, tweets, timelines, the social graph, image storage, the cache, that kind of thing. And this was early in the cloud era. API's were new and weird. You couldn't get Amazon EC2 off the shelf easily. We were racking hardware and code ancient center. And there were no databases or platforms for data of any kind. They really let us the Twitter engineering team focus on building the product. And we did a lot of open source work there. Some of which has influenced Fauna, originally, Twitter's open source was hosted on the Fauna GitHub account, which predated Twitter like you mentioned. And I was there for four years build out the team, basically scaled the site, especially scaled the Twitter.com API. And we just never found a platform which was suitable for what we were trying to accomplish. Like a lot of what Twitter did was itself a platform. We had developers all over the world using the Twitter API to interact with tweets. And we're frustrated that we basically had to become specialists in data systems because there wasn't a data API, we can just build the product on. And ultimately, then data API that we wished we had, is now Fauna. >> Well, it's a story we've loved hearing. And it's fascinating one, is that the marketplace wasn't doing what we needed. Often open source is a piece of that, how do we scale that out? How do we build that? Realized that the problem that you have is what others have. And hey, maybe there's a company. So could you give us that transition, Fauna as a product, as a company, where was it understood that, hey, there's a lot of other people that can take advantage from some of the same tools that you needed before. >> I mean, we saw it in the developers working with the Twitter platform. We weren't like, your traditional database experiences, either manage cloud or on-prem, you have to administrate the machine, and you're responsible for its security and its availability and its location and backups and all that kind of thing. People building against Twitter's API weren't doing that. They're just using the web interface that we provided to them. It was our responsibility as a platform provider. We saw lots of successful companies being built on the API, but obviously, it was limited specifically to interacting with tweets. And we also saw peers from Twitter who went on to found companies, other people we knew in the startup scene, struggling to just get something out the door, because they had to do all this undifferentiated heavy lifting, which didn't contribute to their product at all, if they did succeed and they struggled with scalability problems and security problems and that kind of thing. And I think it's been a drag on the market overall, we're essentially, in cloud services. We're more or less built for the enterprise for mature and mid market and enterprise companies that already had resources to put behind these things, then wasn't sort of the cloud equivalent of the web, where individuals, people with fewer resources, people starting new projects, people doing more speculative work, which is what we originally and Jack was doing at Twitter, it just get going and build dynamic web applications. So I think the move to cloud kind of left this gap, which ultimately was starting to be filled with serverless, in particular, that we sort of backtracked from the productivity of the '90s with the lamp era, you can do everything on a single machine, nobody bothered you, you didn't have to pay anyone, just RPM install and you're good to go. To this Kubernetes, containers, cloud, multi site, multi region world where it's just too hard to get a basic product out the door and now serverless is sort of brought that around full circle, we see people building those products again, because the tools have probably matured. >> Well, Evan, I really appreciate you helping set the table. I think you've clearly articulated some of the big challenges we're seeing in the industry right now. Eric, I want to bring you into the conversation. So you relatively recently brought in as CEO, came from Okta a company that is also doing quite well. So give us if you could really the business opportunity here, serverless is not exactly the most mature market, there's a lot of interest excitement, we've been tracking it for years and see some good growth. But what brought you in and what do you see is that big opportunity. >> Yeah, absolutely, so the first thing I'll comment on is what, when I was looking for my next opportunity, what was really important is to, I think you can build some of the most interesting businesses and companies when there are significant technological shifts happening. Okta, which you mentioned, took advantage of the fact of SaaS application, really being adopted by enterprise, which back in 2009, wasn't an exactly a known thing. And similarly, when I look at Fauna, the move that Evan talked about, which is really the maturation of serverless. And therefore, that as an underpinning for a new type of applications is really just starting to take hold. And so then there creates opportunities that for a variety of different people in that stack that to build interesting businesses and obviously, the databases is an incredibly important part of that. And the other thing I've mentioned is that, a lot of people don't know this but there's a very good chunk of Okta's business, which is what they call their customer identity business, which is basically, servicing of identity is a set of API's that people can integrate into their applications. And you see a lot of enterprises using this as a part of their digital transformation effort. And so I was very familiar with that model and how prevalent, how much investment, how much aid was out there for customers, as every company becoming a software company and needing to rethink their business and build applications. And so you put those two trends together and you just see that serverless is going to be able to meet the needs of a lot of those companies. And as Evan mentioned, databases in general and traditionally have come with a lot of complexity from an operational perspective. And so when you look at the technology and some of the problems that Fauna has solved, in terms of really removing all of that operational burden when it comes to starting with and scaling a database, not only locally but globally. It's sort of a new, no brainer, everybody would love to have a database that scales, that is reliable and secure that they don't have to manage. >> Yeah, Eric, one follow up question for you. I think back a few years ago, you talked to companies and it's like, okay, database is the center of my business. It's a big expense. I have a team that works on it. There have been dealt so much change in the database market than most customers I talked to, is I have lots of solutions out there. I'm using Mongo, I've got Snowflake, Amazon has flavors of things I'm looking at. Snowflake just filed for their IPO, so we see the growth in the space. So maybe if you could just obviously serverless is a differentiation. There's a couple of solutions out there, like from Amazon or whether Aurora serverless solution but how does Fauna look to differentiate. Could you give us a little bit of kind of compared to the market out there? >> Sure, yeah, so at the high level, just to clarify, at the super high level for databases, there tends to be two types operational databases and then data warehouse which Snowflake is an example of a data warehouse. And as you probably already know, the former CEO of Snowflake is actually a chairman of Fauna. So Bob Muglia. So we have a lot of good insight into that business. But Fauna is very much on the operational database side. So the other half of that market, if you will, so really focused on being the core operational store for your application. And I think Evan mentioned it a little bit, there's been a lot of the transformation that's happened if we rewind all the way back to the early '90s, when it was Oracle, and Microsoft SQL Server were kind of the big players there. And then as those architectures basically hit limits, when it came to applications moving to the web, you had this whole rise in a lot of different no SQL solutions, but those solutions sort of gave up on some of the promises of a relational database in order to achieve some of the ability to scale in the performance required at the web. But we required then a little bit more sophistication, intelligence, in order to be able to basically create logic in your application that could make up for the fact that those databases didn't actually deliver on the promises of traditional relational databases. And so, enter Fauna and it's really sort of a combination of those two things, which is providing the trust, the security and reliability of a traditional relational database, but offering it as serverless, as we talked about, at the scale that you need it for a web application. And so it's a very interesting combination of those capabilities that we think, as Evan was talking about, allows people who don't have large DevOps teams or very sophisticated developers who can code around some of the limitations of these other databases, to really be able to use a database for what they're looking for. What I write to it is what I'm going to read from it and that we maintain that commitment and make that super easy. >> Yeah, it's important to know that the part of the reason that operational database, the database for mission critical business data has remained a cost center is because the conventional wisdom was that something like Fauna was impossible to build. People said, you literally cannot in information science create a global API for data which is transactional and consistent and suitable for relying on, for mission critical, user login, banking payments, user generated content, social graphs, internal IT data, anything that's irreplaceable. People said, there can be no general service that can do this ubiquitously a global internet scale, you have to do it specifically. So it's sort of like, we had no power company. Instead, you could call up Amazon, they drive a truck with a generator to your house and hook you up. And you're like, right on, I didn't have to like, install the generator myself. But like, it's not a good experience. It's still a pain in the neck, it's still specific to the location you're at. It's not getting utility computing from the cloud the way, it's been a dream for many decades that we get all our services through brokers and API's and the web and it's finally real with serverless. I want to emphasize that the Fauna it technology is new and novel. And based on and inspired by our experience at Twitter and also academic research with some of our advisors like Dr. Daniel Abadi. It's one of the things that attracted us, Snowflake chairman to our company that we'd solve groundbreaking problems in information science in the cloud, just the way Snowflakes had. >> Yeah, well and Evan, yeah please go on Eric. >> Yeah, I'm just going to have one thing to that, which is, in addition, I think when you think about Fauna and you mentioned MongoDB, I think they're one of a great examples of database companies over the last decade, who's been able to build a standalone business. And if you look at it from a business model perspective, the thing that was really successful for them is they didn't go into try to necessarily like, rip and replace in big database migrations, they started evolving with a new class of developers and new applications that were being developed and then rode that obviously into sort of a land and expand model into enterprises over time. And so when you think about Fauna from your business value proposition is harnessing the technological innovation that Evan talked about. And then combining this with a product that bottoms up developer first business motion that kind of rides this technological shift into you creating a presence in the database market over time. >> Well, Evan, I just want to go back to that, it's impossible comment that you made, a lot of people they learn about a technology and they feel that that's the way the technology works. Serverless is obviously often misunderstood from the name itself, too. We had a conversation with Andy Jassy, the CEO of AWS a couple years ago, and he said, "If I could rebuild AWS from the ground up today, "it would be using all serverless," that doesn't mean only lambda, but they're rebuilding a lot of their pieces underneath it. So I've looked at the container world and we're only starting the last year or so, talking about people using databases with Kubernetes and containers, so what is it that allows you to be able to have as you said, there's the consistency. So we're talking about acid there, not worry about things like cold starts, which are thing lots of people are concerned about when it comes to serverless and help us understand a little bit that what you do and the underlying technologies that you leverage. >> Yeah, databases are always the last to evolve because they're the riskiest to change and the hardest to build. And basically, through the cloud era, we've done this lift and shift of existing on premises solutions, especially with databases into cloud machines, but it's still the metaphor of the physical computer, which is the overriding unit of granularity mental concept, everything like you mentioned, containers, like we had machines then we had Vms, now we have containers, it's still a computer. And the database goes in that one computer, in one spot and it sits there and you got to talk to it. Wherever that is in the world, no matter how far away it is from you. And people said, well, the relational database is great. You can use locks within a single machine to make sure that you're not conflicting your data when you update it, you going to have transactionality, you can have serialize ability. What do you do, if you want to make that experience highly available at global scale? We went through a series of evolutions as an industry. From initially that the on-prem RDBMS to things like Google's percolator scheme, which essentially scales that up to data center scale and puts different parts of the traditional database on different physical machines on low latency links, but otherwise doesn't change the consistency properties, then to things like Google Spanner, which rely on synchronized atomic clocks to guarantee consistency. Well, not everyone has synchronized atomic clocks just lying around. And they're also, their issues with noisy neighbors and tenancy and things because you have to make sure that you can always read the clock in a consistent amount of time, not just have the time accurate in the first place. And Fauna is based on and inspired and evolved from an algorithm called Calvin, which came out of a buddy's lab at Yale. And what Calvin does is invert the traditional database relationship and say, instead of doing a bunch of work on the disk and then figuring out which transactions won by seeing what time it is, we will create a global pre determined order of transactions which is arbitrary by journaling them and replicating them. And then we will use that to essentially derive the time from the transactions which have already been committed to disk. And then once we know the order, we can say which one's won and didn't win and which happened before, happen after and present the appearance of consistency to all possible observers. And when this paper came out, it came out about a decade ago now I think, it was very opaque. There's a lot of kind of hand waving exercises left to the reader. Some scary statements about how wasn't suitable for things that in particular SQL requires. We met, my co-founder and I met as Fauna chief architect, he worked on my team at Twitter, at one of the database groups. We were building Fauna we were doing our market discovery or prototyping and we knew we needed to be a global API. We knew we needed low latency, high performance at global scale. We looked at Spanner and Spanner couldn't do it. But we found that this paper proposed a way that could and we can see based on our experience at Twitter that you could overcome all these obstacles which had made the paper overall being neglected by industry and it took us quite a while to implement it at industrial quality and scale, to qualify it with analysts and others, prove to the world that it was real. And Eric mentioned Mongo, we did a lot of work with Cassandra as well at Twitter, we're early in the Cassandra community. Like I wrote, the first tutorial for Cassandra where data stacks was founded. These vendors were telling people that you could not have transactionality and scale at the same time, and it was literally impossible. Then we had this incrementalism like things with Spanner. And it wasn't till Fauna that anyone had proved to the world that that just wasn't true. There was more marketing around their failure to solve the information science problem, than something fundamental. >> Eric, I'm wondering if you're able to share just order of magnitude, how many customers you have out there from a partnership standpoint, we'd like to understand a little bit how you work or fit into the public cloud ecosystems out there. I noticed that Alphabets General Venture Fund was one of the contributors to the last raise. And obviously, there's some underlying Google technology there. So if you could just customers and ecosystem. >> Yeah, so as I mentioned, we've had a very aggressive product lead developer go to market. And so we have 10s of thousands of people now on the service, using Fauna at different levels. And now we're focused on, how do we continue to build that momentum, again, going back to the model of focus on a developer lead model, really what we're focused on there is taking everything that Evan just talked about, which is real and very differentiated in terms of the real core tech in the back end and then combining that with a developer experience that makes it extremely easy to use and really, we think that's the magic in terms of what Fauna is bringing, so we got 10s of thousands of users and we got more signing up every day, coming to the service, we have an aggressive free plan there and then they can migrate up to higher paying plans as they consume over time. And the ecosystem, we're aggressively playing in the broader serverless ecosystem. So what we're looking at is as Evan mentioned, sometimes the databases is the last thing to change, it's also not necessarily the first thing that a developer starts from when they think about building their application or their website. And so we're plugging into the larger serverless ecosystem where people are making their choices about potentially their compute platform or maybe a development platform like I know you've talked to the folks over at JAMstack, sorry at Netlify and Purcell, who are big in the JAMstack community and providing really great workflows for new web and application developers on these platforms. And then at the compute layer, obviously, our Amazon, Google, Microsoft all have a serverless compute solution. CloudFlare is doing some really interesting things out at the edge. And so there's a variety of people up and down that stack, if you will, when people are thinking about this new generation of applications that we're plugging into to make sure that the Fauna is that the default database of choice. >> Wonderful, last question, Evan if I could, I love what I got somebody with your background. Talk about just so many different technologies maturing, give us a little bit as to some of the challenges you see serverless ecosystem, what's being attacked, what do we still need to work on? >> I mean, serverless is in the same place that Lamp was in the in the early '90s. We have the old conservatives ecosystem with the JAMstack players that Eric mentioned. We have closed proprietary ecosystems like the AWS stack or the Google Firebase stack. As to your point, Google has also invested in us so they're placing their bets widely. But it's seeing the same kind of criticism. That Lamp, the Linux, Apache, MySQL, PHP, Perl, it's not mature, it's a toy, no one will ever use this for real business. We can't switch from like DV2 or mumps to MySQL, like no one is doing that. The movement and the momentum in serverless is real. And the challenge now is for all the vendors in collaboration with the community of developers to mature the tools as those the products and applications being built on the new more productive stack also mature, so we have to keep ahead of our audience and make sure we start delivering and this is partly why Eric is here. Those those mid market and ultimately enterprise requirements so that business is built on top of Fauna today, can grow like Twitter did from small to giant. >> Yeah, I'd add on to that, this is reminiscent for me, back in 2009 at Okta, we were one of the early ISVs that built on in relied 100% on AWS. At that time there was still, it was very commonplace for people racking and stacking their own boxes and using Colo and we used to have conversations about I wonder how long it's going to be before we exceed the cost of this AWS thing and we go and run our own data centers. And that would be laughable to even consider today, right, no one would ever even think about that. And I think serverless is in a similar situation where the consumption model is very attractive to get started, some people sitting there, is it going to be too expensive as I scale. And as Evan mentioned, when we think about if you fast forward to kind of what the innovation that we can anticipate both technologically and economically it's just going to be the default model that people are going to wonder why they used to spend all these time managing these machines, if they don't have to. >> Evan and Eric, thank you so much, is great to hear the progress that you've made and big supporters, the serverless ecosystem, so excited to watch the progress there. Thanks so much. >> Thanks Stu. >> Thanks for having us Stu. >> All right and I'm Stu Miniman. Stay tuned. Every week we are putting out the Cloud Native Insights. Appreciate. Thank you for watching. (bright upbeat music)

from the silicon angle media office in Boston Massachusetts it's the queue now here's your host Stu minimun hi I'm Stu minimun and welcome to a special cube conversation here in our Boston area studio and health happy to welcome to the program someone we've known for a long time but actually first time on the program also a Boston area native I believe yes Jim and so it's Jim Sullivan who's the CEO of nwn Jim's thanks so much for joining us let's do it's great to be here watching you guys forever and first time and happy to be here so we've got a lot of shared history we both we overlapped a little bit at a company that some people might remember was EMC before it was the largest acquisition in tech history you've worked for a number of companies we've covered here on the cube XIV actifi oh and the like so tell us first you know nwn it's not a company that you know the vast majority of people are going to know of but you know good-sized company been around for a while Waltham based tell us tell us a little bit about what brought you to nwn thanks to yet nwn is a you know solution service provider been around 10 years hundreds of millions of dollars of revenues 1,300 customers and a lot of really incredible you know platform offering service offerings and so was really excited to be able to kind of get involved with the company and begin to look at we could do for the industry and for customers all right yeah you talk about it you know an area that that's transforming greatly I mean tech in general you know we say that the the only constant in industry is change when you talk about services you talk about platforms that means a lot of things to a lot of people maybe explain a little bit that the spaces that end everyone plays in and where some of the core capability of the company are sure so if you look at as you know this a lot of everything for you know digital transformation is around the end-user experience so we all want to have great access to you know voice video you know clean network the ability to kind of have this great experience to collaborate with customers so India nwn really the core offerings unified communications which has really always been a kind of core of the company the network's underpinning those communications along with a contact center collaboration security and so security really wraps around everything and then those are the core areas where we are but the core IP of the company is the platform that can manage all those environment you know as a self-service function that the customers use or that arts contacts and her team can kind of run okay so when I hear that the solutions that you're talking about the the thing that comes kind of front and center in the industry that I've been hearing about it's the CX it's the customer experience you know what is the ultimate end users how are they interacting with as well as the employees themselves you know if you've got people at the contact centers that are running things how are you making their jobs easier so you know how does that play into you know what you're seeing in the market and how nwn you know delivers offerings in that space so everything's really tied together whether you have a device a a phone system everything's gonna be tied into the network and required really high security so the the management platform that we have allows customers to have that ability to provision in a real secure fashion a device that we can kind of deliver and manage the right phone systems that we can also deliver and manage all tied into a really secure Network and it can be anywhere they want it can be you know private cloud hybrid cloud or hosted cloud is how we deliver it today yeah there's the cloud discussion that's going on right now I was at Enterprise Connect earlier this year and you know everything seemed to be you know cloud enable an AI infused underneath from a customer standpoint you know that they can get a little bit overwhelmed with some of the jargon that's get gets thrown out there so help explain a little bit you know what solutions what is nwn build you know how does it fit in with kind of you know big tech companies that they probably have relationships with and debut and has been part of the channel for many of these products there to talk a little bit about that mix overall we're gonna deliver a solution for the customer in those areas right so in a unified communications area or a network area security so and the solutions going to be required you know some hardware you know a lot of services which is our people and then most importantly this management platform which is going to be the management capability the business analytics the knowledge center that kind of pull off from everybody right so our focus is really delivering the solution delivering it you know kind of a solution as a service so the customer has the ability that it's not outsourcing it's not managed services but we're gonna be running the service but they have the ability to self provision interact with pulling all their own analytics all their own data on their own environment so it's a much more interactive relationship than kind of the old-school managed services of the past you know I I like that term solutions as a service because we've learned the the failings of just pure outsourcing it was like oh can I get my mess for Less well no no you don't want your mess what customers need is they need to be able to deploy something today and as the business changes adjust that and you can't have something that you have to throw over the wall and say oh hey can you do this oh yeah we'll get back to you in six months maybe and here's your new bill and how that changes in the cloud era I need to be able to deploy something today and stay flexible to be able to take advantage of new technologies new innovations as they come along how do your offerings help customers stay current and you know drive that innovation adoption right so a huge part of we talk about this in a lot of industries particularly our old kind of infrastructure of days and that everything becoming more software-defined is is really everywhere or cloud offerings really everywhere and with software these changes are happening so fast so the customer gets an environment that's stable and secure deployed and managed by us but as changes happen our team and our kind of best practices capabilities allows to interact with their end users so you kind of drive the adoption which a lot of time it's more getting and training and making sure the new practices sort of happened because the efficiencies gained are huge that's sort of one and then two is is it's beginning to get adopted you're beginning to kind of roll that out across the entire enterprise so the customer gets that end user experience which it helps with employee retention you know really helps with business ROI and ultimately the investments they made are now being used and they're getting what they want so it might be excellent you know lying quality with great business analytics in a secure environment but it goes back down to you know is the network being utilized all the software capabilities being deployed and managed and really what's the business outcome for the customer so these this world is very much less speeds and feeds or technology or all of that versus okay where's the customer stand today and where do they want to bring the business to and what business outcomes they looking to drive the adoption services you know ensures that they get the business outcomes all right Jim you know what what industries what geographies gives a little bit of kind of the scope and breadth of your team right so it's 1,300 customers more than half the customers are really large enterprises you know companies like eversource the other half of the business is sled state local education so Yale University really big customer state of California we manage over 200,000 endpoints over 400 agencies so really some huge scale but it really maps to a great balance in the business of sled and enterprise accounts okay and you talked about cloud you have some of your own data centers how do you play with some of the public cloud and customer environments what's right what's kind of that mix and what are you yeah so so today customers want to have like I don't think they quite care but they want to have fast deployments really agile environments consistent costs really effective and so for us we able to provide that because we can provide private cloud on-premise we can service any public cloud for these deployments and we also have three data centers where we can provide a cloud solution for them or hybrid clouds lifts and really mapping particularly the enterprise accounts as we know they're beginning to learn like all public clouds little scary you know but if you get into a fireman where you can have really a shop that has you know private clouds that delivers a hybrid cloud environment for them much more flexible much more agile for them it's been a perfect scenario where the predominance of our customers are deployed in a cloud scenario managed by us but in their data centers in our cloud as well yeah right I think a really good point their customers are still sorting out where everything goes and you've got to have flexibility to say okay it's not one or the other it's usually more of an and right in helping customers you know move through what I do in there and for us most of these environments are you know really mission-critical applications that are gonna be rolled out whether it's the voice systems which really kind of backing and the underpinning the whole the whole customer experience it might be device as a service so when we kind of talk about end user experience it starts with really the voice that devices it's got to be really secure which is becomes a kind of a compliance issue and a lot of this is all tied together into the network so the the big differentiator for it end WN is the ability that we can have the management portal that really manages all these five environments together into one seamless into one seamless platform that they can pull the data from okay so talked about you've got team you've got technology you've got really important you've got a lot of good customers seems like you have a good relationship nwn is going through a bit of a transformation here since you've been on board just a few months now I've had a chance to look at the website and the biggest thing for me is I'll tell you from the old one to the new one the new one is simpler I really kind of grasped much faster what any of the wnd does so maybe speak a little bit to you know what nwn of today how that's different from how we might have thought of nwn in the past sure nwn been around 10 years as nwn but they've been acquiring companies and really had has incredible employees great customers really loyal customers and big accounts that were strategic too but as we really went through kind of the assessment of what's really resonating with customers we were able to really focus all the offerings down to these five core offerings that we've been talking about and then really have the right investments around all the IP that we've developed and really wanted to put against those five offerings and then have the customer success teams be able to be organized around that so the company has really focused on where 95% of the business was the ability to really put all the wood behind the arrow you know for those environments and for our customers to really focus and that's about a 50 billion dollar market in the u.s. right so that focus area is a big space big opportunity for growth and a lot of it was in the predominance of our 1,300 customers they buy one or two of these offerings from us and now the ability to really expand that but so many of these customers are so happy we're gonna kind of take it in those industries we're in probably about five core industries to really kind of take it to their peer their peer companies and really expanded in that account-based marketing sort of kind of program okay so five specific offerings we've talked about a couple of them already unified communications as a service of course we talked about contact center we touched on device as a service you talked about some of the devices security and advanced technology solutions maybe start with security you know I think one of the you know you know most important topic being discussed I looking back at my career and you know 10 or 15 years ago security was what I would call top of mind bottom of budget all right and today it is often a board level discussion there are lots of dollars lots of investment lots of concern around security so what piece is the security market does nwn playing you know what we're what's good you know what what do you what are you creating and what are you working with the ecosystem and where do we need to go sure enough space so for unified communications for the 80s you know practice around the supporting network and device as a service our security offerings are for the environment right and a lot of it is where there's a lot of tools deployed but customers you know are really okay once something happens an incident happens they have a tool that identifies something that happens but a lot of the security will be really really mapping those environments that they have a secure platform but Incident Response is really where we're gonna really be doubling down on so something's happened in one of those environments what happened and then how do you respond to that that's going to be the big focus of what nwn it's been doing and kind of what will invest more in its really Incident Response okay great advanced technology solutions talk to us a little bit about that so a lot of the core the core expertise in the company for years has been around the network but then that really expanded with doing you know full you hosted unified communication so the company today can deploy any type of networking solutions for customers along with all the connectivity so the bandwidth you know any type of a next generation networks like 5g so all of that really tied together that you have the network you know the right connectivity to kind of get to the the right performance and then mapping it to the SL A's that have to go with the the offerings of unified communications and devices of service because everything's going to be inter intertwined and you think about any like collaboration technologies I mean how many times have we been in a meeting where a collaboration technologies not really working but the performance is not really there it's not that software it's something that was tied beneath that so nwn can really bridge the two together to have that the right networking capability the right connectivity so you're getting the fast connectivity right away of what really matters to the end user experience which is that collaboration system yeah you know we talked a little bit about innovation you know where where are your customers what's exciting you that's helping your customers move forward and you know where are those areas that were still struggling a little bit you know III think back you know I worked in the you know Telecom Unified Communication space you know back in the late 90s and you know by now we were supposed to have the flying cars with the ubiquitous video everywhere and well FaceTime you know and some some things have us there a little bit sure I use my you know my webcam way more than I did five or ten years ago but yeah maybe speak a little bit where were having success and where if we still need to go number one thing for me that I learned of one of the most unique assets that NW and has is the business analytics and data capability right so a lot of these environments have been deployed we've got all these multiple different vironment but what I learned of the nwn capability is we have every piece of data of all those different environments in every customer in every customer environment so we have the ability now with our portal and they've had the ability to do this it's really any type of function that the customer wants to learn more about in kind of an automated fashion that they can self provision this data themselves we have the data so it could be billing capabilities of really what what groups are being built it could be any type of compliance so what type of calls are being made and who's doing calls any type of productivity for call centers of what capabilities we have so I think the the the biggest thing to answer your question is one the nwn capability is all the business data that we have that maps across multiple industries to deliver best practices but people have been to plot deploying networks deploying devices deploying phone systems but never really having the intelligence of what you're gonna do with that data to drive the business forward and so one it's like got to have the end user experience be like that's like table stakes where the end user experience is great but now how the business use the data of how all those systems are working together to really bring forward like okay what business decisions do we make to move forward in terms of what's working what's not working and comes back to driving the right business outcomes alright so a lot a lot of effort in the last few months yeah focus and execution doing the relaunch here let's look forward a little bit Jim as you know six or twelve months from now as we look back what are some of the key KP at KP is how for those of us the outside do we know that nwn is executing and meeting you know where you want the company to go its 100% about customer satisfaction right so it's the as we continue to expand the offerings inside customers and then add new customers will be you know solely how we're going to manage the business and that's really where it's as customers do upgrades with us the the predominance of our customers is long-term contracts so as customers continue to do renewals and add new offerings and kind of new capabilities that we bring to the table and as they tell their peer companies which is people are really excited about being references for us then we'll continue to add more companies into the mix and more more customers and grow the 1302 mm great and you know for for potential customers out there there any of the kind of key things that you would call out that they said oh I've got this issue or I'm looking to do this kind of project I want to make sure to have nwn on my short list I see a couple areas right it's it's everyone is it's a 50 billion dollar market so everyone is dealing with unified communications issues right in terms of what decisions are gonna make were an expert in that space the device is a service you know really like we manage two hundred thousand endpoints with the state of California so that's a device of the service is really a space that not a lot of people are in a lot of people doing devices but really as an end end service not really you know strong you know kind of capability and then the security requirements are for everybody so I think for these solutions than to have the right service people the right network expertise so that that five areas is kind of the core space and I think the biggest thing that I would say to customers is everything's intertwined right so it's like you can have you know one person to talk about one if you don't really tie it all together that's where the challenges and the problems usually kind of come from and we're also really sizable Ike the companies you know you know a lot a lot of large customers but the companies hundreds of millions of dollars with a lot of forty's over the last 10 years yeah so Jim last thing talk about the team in the culture you know talk about what you you want to build on what NW always has and you know are you doing some hiring either here locally in the Boston area or you know in other geographic areas sure so companies Nate you know national company so we'll be hiring sales reps solution engineers nationally and really kind of continue to scale that out the service desk function that we have and really the customer success team is continuing to expand and really supporting the growth of the business and really kind of driving it so those are really the key areas the rest of the company that people are the people and the and the culture of the company are amazing the passion commitment to customer success people have been here a long time and so they have a lot of experience and a lot of kind of patch with the company so a lot of the changes we made all came from within side right so everyone really rallied to be like hey here the things were good at then we want to get great at and that sort of been kind of the big focus and we have really strong presence in in in the Carolinas all over the Northeast California Texas and so we're gonna really look to kind of connect all those geographies together to have one national you know kind of powerhouse player across the country all right Jim Sullivan thank you so much for the updates congratulations on the progress and look forward to watching the continued growth of NW thank great to be here all right and lots more coverage here as always on the cube net on to minimun and thank you for watching the Q

>> I am stupid men. And this is a special on the ground at the V Tug SummerSlam 2019. Nicky knows this morning is a lot of discussion about what's happened toe I t operations >> people and all of the changes that are impacting their career. One >> of the keynote speakers is Josh at, >> Well, who's a senior technology advocate with Splunk. Just welcome back to the program, >> thanks to always good to be here. >> All right, so you wait until the final V tug to show up s o about better late than never. >> That's exactly the way I look at it. Thank you so much for >> joining and yeah, you know, before you know, I don't want to talk, really hear about community and jobs. And of course, that's right in your sweet spot to talk about. You know, I've met you, you know, years ago, through the virtual ization community virtualization community, always good at, you know, people sharing, contributing and learning with each other. And you know, >> how have you seen that? >> You know, changing as we go into these new worlds of you, talk about nuance and cloud computing and all of these new things that >> have been changing >> well, so that uncovers a whole lot. I >> think one of them We >> need you to do it in, you know, under five >> minutes. I don't think I've >> been ever to have any conversation under five minutes, but I think we could pull this >> up. I think that >> during the virtual ization emerges, we required the bloggers and the contributors in the community in order for us as a as a industry to mature. Even the vendors weren't holy prepared on everything that they were going to need to deliver to handle that change. I think we're seeing a similar type scenario play out now, as digital transformation is impacting so much of what I t and development does, we have a whole new crop in mechanisms for getting people on board and understanding these trends in these new mechanisms. And I think the biggest way that people have really gravitated to our recently from a community standpoint are around events like your develops meet ups, Dev. Ops Day's events like those have been a huge and then video video has been the other element that has been just completely exploding everywhere throughout this and used to be very focused on the written technical documentation. Now it's I'm gonna show you step by step, how to do all these things. And then the last bit that I think is really interesting is because of the changes that we face now. The cultural elements are vastly different. It's a lot more conversation as a community about the cultural impacts of more transparency addressing burnout. How do you you lead up and influence up in an organization. Lots of cool >> stuff, Jack. Just did I see you were actually advocating >> reading books. You know, in your presentation this morning, don't you know millennials? You know, if I if I can't get it on tic tac or something like that and you know my daily newsletter, you know, it's probably a bit little bit too long form I digest, but, you know, maybe expand a little bit about what you were going out there. Well, >> I think one thing >> that's really important to note is that specifically within the IittIe space and with I t operations on as we solid the keynote today, most people have 10 plus years of experience, right? Most of the younger folks coming in and the operations or doing operational roles. And I have a different perspective in view, and they will have more of a development background and what they're doing. And so it's still hyper relevant. Thio Enterprise I t. And I to operations as a whole or consumption through books. And there's some really high quality books that have been published in the last few years. >> Yeah, maybe if you could speak a >> little bit of that, that organizational dynamic you know, the I >> t people >> versus you know, hey, who are those developers? You know, they used to just, you know, build their stuff and tell me to make it work out there. They dress a little bit different. They don't understand their language, you know? Are we seeing I t. And the developers coming together, at least working together? >> I think it's inevitable that we're going to continue to see more and more of that as I talked about earlier today, when Cloud was kind of emerging and, you know, we had rogue I T people development things in particular, going out looking for an easier option to get the IittIe resource is they need most I T departments for, like, roof. We dodged a bullet. We're not going to have to deal with agile development and lean development practices. Well, then, it turned out, Well, we actually need to modernize all of our applications in various different ways. We need to rationalize where they need to go. There's a lot better cost models for some of these applications. Get out of the, you know, spending money on things that aren't differentiating to our business because we have to. And so as such, those bridges have to be developed, and it is on operations team kind of change The model. It was their developing. You're not developing, but ah, helping developers. >> All right, Josh, explain what this new ops thing is that you're talking about. I know you've got the new op stays on, and, you know, so explain a little bit about >> that. Okay, Uh, new >> offices. A realization. Brinkley, that the way that we've operated I t and managed I t isn't going to work going forward with the addition of greater complexity applications being broken out. Micro Service's various cloud platforms, you know, pulling out private cloud using software as a service. I see operations has a much more diverse and much more complex job ahead of them on. And it's also increasing this scale of which what they need to operate. And so new technologies, new framework for how they operate had to be deployed. There's a lot of talk come out by motel I t. But this isn't really about by motility it's about. Here's what you need to do to operate the new. And you also then need to modernize everything that you've been doing to work within those same models, >> all right. And, >> Josh, you're holding the mic so >> that our audience can't see the T shirts. So maybe just >> shut up for a second and explain that one >> s So you know, it's like one of the things that we pride ourselves on or having really interesting T shirts. And this is really just getting just having people get out of the way and let the systems work for you. >> Yeah, absolutely. But it's a good point is, you know, I team you can't be the group of no from or the blocker where the Yale will get that done, and you know, Pope to 18 months and send us a pile of money we need to be able to move fast. The theme that I hear over and over again is it's the agility and tying things to the business. And I thought that was a great point in your presentation is if you don't understand You know what the key business objectives are this quarter in this year. I'm not saying you need to be, you know, drinking the Kool Aid on everything. But if you're not aware of it, you might be running in the total wrong direction. And therefore, things change. You can't be one of those. Oh, jeez. Why am I out of a job? Oh, well, maybe I wasn't relevant to the >> business. And I think what most I T organizations feel is that they don't get respected for their work they're doing, and it's primarily in large part because they can't show the work that they're doing is tying to business value on DSO until they start making that transition on, then becoming an organization that is a driver of business initiatives in business value and customer value. They're they're they're goingto have thio reconcile some of the things that they're doing >> Okay, final thing, Josh. So are there any skill sets >> or jobs that you know? I hate to see. It's like, Oh, you know the hot thing out there. But, you know, as people kind of look at their career, especially those that have been in I t operation for a while, what are some areas that you recommend them to start with? >> Well, I think one area that to core areas I think people really needed that developing good discipline about being data driven data managed. So being able to look at data management platforms, be able to extract, ask good questions of the data and then act on that data, whether it's an automated response or developing a plan for remediation or improvement on then the other is the adoption of automation framework. Specifically, be able to have an understanding of some some type of programming language don't have to be a full on developer, but you should be able to look at work. Other people have done know how to dissect that manipulate manage. It's what you need to be able to do so that you can remove yourself from the workflow, get out of being ticket driven and allow the systems >> that work for you. >> All right. >> Sounds great, Josh. Out. Well, always a pleasure to catch up >> with you on and off >> camera. So thanks so much for joining us. All right. More coverage is always at the cube dot net on stew minimum, and thanks for watching.

>> Narrator: Live from Las Vegas, it's The Cube. Covering IBM Think 2018. Brought to you by IBM. >> Hello everyone and welcome to The Cube here at IBM Think in Las Vegas, the Mandalay Bay. I'm John Furrier, the host of The Cube. We're here in this Cube studio as a set for IBM Think. My next guest is Jennifer Shiin who's the founder of 8 Path Solutions. Twitter handle Jenn, J-S-H-I-N. Great to see you. Thanks for joining me. >> Yeah, happy to be here. >> I'm glad you stopped by. I wanted to get your thoughts. You're thought leader in the industry. You've been on multiple Cube panels. Thank you very much. And also Cube alumni. You know, IBM with the data center of the value proposition. The CEO's up on the stage today saying you got data, you got blockchain and you got AI, which is such the infrastructure of the future. And AI is the software of the future, data's at the middle. Dave and I were talking about that as the innovation sandwich. The data is being sandwiched between blockchain and AI, two super important things. And she also mentioned Moore's law. Faster, smaller, cheaper. Every 6 months doubling in speed and performance. And then Metcalfe's law, which is more of a network effect. Kind of teasing out token economics. You see kind of where the world's going. This is an interesting position from IBM. I like it. Is it real? >> Well it sounds very data sciency, right? You have the economics part, you have the networking. You have all these things in your plane. So I think it's very much in line with what you would expect if data science actually sustains (mumbles), which thankfully it has. >> Yeah. >> And I think the reality is you know, we like to boil things down into nice, simple concepts but in the real world when you're actually figuring it all out its going to be multiple effects. It's going to be, you know a lot of different things that interact. >> And they kind of really tease out their cloud strategy in a very elegant way. I mean they essentially said, 'Look we're into the cloud and we're not going to try to.' They didn't say it directly, but they basically said it. We're not going to compete with Amazon head-to-head. We're going to let our offerings to do the talking. We're going to use data and give customers choice with multi cloud. How does that jive for you? How does that work because at the end of the day I got to have business logics. I need applications. >> Yes. >> You know whether its blockchains, cryptocurrency or apps. The killer app's now money. >> Yep. >> If no one's making any money. >> Sure. >> No commerce is being done. >> Right. I mean I think it makes sense. You know, Amazon has such a strong hold in the infrastructure part, right? Being able to store your data elsewhere and have it be cloud. I don't think that was really IBM's core business. You know, a lot of I think their business model was built around business and business relationships and these days, one of the great things about all these data technologies is that one company doesn't have to do all of it, right? You have partnerships and actually partners so that you know, one company does AI. You partner with another company that has data. And that way you can actually both make money, right? There's more than enough work to go around and that much you can say having worked in data science teams right? If I can offload some of my work to different divisions, fantastic. That'd be great. Saves us time. You get to market faster. You can build things quicker. So I think that's one of the great things about what's happening with data these days, right? There's enough work to get around. >> And it's beautiful too because if you think about the concept that made cloud great is DevOps. Blockchain is an opportunity to use desensualization to take away a lot of inefficiencies. AI is also an automation opportunity to create value. So you got inefficiencies on block chains side and AI to create value, your thoughts and reaction to where that's going to go. You know, in light of the first death on a Uber self-driving car. Again, historic yesterday right? And so you know, the reality is right there. We're not perfect. >> Yeah. >> But there's a path. >> Well so most of its inefficiency out there. It's not the technology. It's all the people using technology, right? You broke the logic by putting in something you shouldn't have put in that data set, you know? The data's now dirty because you put in things that you know, the developer didn't think you'd put in there. So the reality is we're going to keep making mistakes and there will be more and more opportunities for new technologies to help you know, cheer that up. >> So I was talking to Rob Thomas, GM of the analytics team. You know Rob, great guy. He's smart. He's also an executive but he knows the tech. He and I were talking about this notion of data containers. So with Kubernetes now front and center as an orchestration layer for cloud and application workloads, IBM has an interesting announcement with this cloud private approach. Where data is the central thing in this. Because you've got things like GDPR out there and the regulatory environment not going to get any easier. You got blockchain crypto. That's a regulatory nightmare. We know a GDBR. That's a total nightmare. So this is happening, right? So what should customers be doing, in your experience? Customers are scratching their head. They don't want to make a wrong bet, but they need good data, good strategy. They need to do things differently. How do they get the best out of their data architecture knowing that there's hurdles and potential blockers in front of them? >> Well so I think you want to be careful of what you select. and how much are you going to be indebted to that one service that you selected, right? So if you're not sure yet maybe you don't want to invest all of your budget into this one thing you're not sure is going to be what you really want to be paying for a year or two, right? So I think being really open to how you're going to plan for things long term and thinking about where you can have some flexibility, whereas certain things you can't. For instance, if you're going to be in an industry that is going to be you know, strict on regulatory requirements right? Then you have less wiggle room than let's say an industry where that's not going to be an absolute necessary part of your technology. >> Let me ask you a question and being kind of a historian you know, what say one year is seven dog years or whatever the expression is in the data space. It just seems like yesterday that Hadoop was going to save the world. So that as kind of context, what is some technologies that just didn't pan out? Is the data link working? You know, what didn't work and what replaced it if you can make an observation? >> Well, so I think that's hard because I think the way I understood technology is probably not the way everyone else did right? I mean, you know at the end of the day it just is being a way to store data right? And just being able to use you know, more information store faster, but I'll tell you what I think is hilarious. I've seen people using Hadoop and then writing sequel queries the same way we did like ten plus years ago, same inefficiencies and they're not leveling the fact that it's Hadoop. Right? They're treating it like I want to create eight million tables and then use joins. So they're not really using the technology. I think that's probably the biggest disappointment is that without that knowledge sharing, without education you have people making the same mistakes you made when technology wasn't as efficient. >> I mean if you're a hammer, everything else is like a nail I guess if that's the expression. >> Right. >> On the exciting side, what are you excited about in technology right now? What are you looking at that's a you know, next 20 mile stare of potential goodness that could be coming out of the industry? >> So I think anytime you have better science, better measurements. So measurement's huge, right? If you think about media industry, right? Everyone's trying to measure. I think there was an article that came out about some of YouTube's failure about measurement, right? And I think in general like Facebook is you know, very well known for measurement. That's going to be really interesting to see, right? What methodologies come out in terms of how well can we measure? I think another one will be say, target advertising right? That's another huge market that you know, a lot of companies are going after. I think what's really going to be cool in the next few years is to see what people come up with, right? It's really the human ingenuity of it, right? We have the technology now. We have data engineers. What can we actually build? And how are we going to be able to partner to be able to do that? >> And there's new stacks that are developing. You think about the ecommerce stack. It's a 30 year old stack. AdTech and DNS and cookiing, now you've got social and network effects going on. You mentioned you know, the Metcalfe's law. So with all that, I want to get just your personal thoughts on blockchain. Beyond blockchain, token economics because there are a lot people who are doing stuff with crypto. But what's really kind of pointing as a mega trands standpoint is a new class of desensualized application developers are coming in. >> Right. >> Okay. They're dealing with data now on a desensualized basis. At the heart of that is the token economics, which is changing some of the business model dynamics. Have you seen anything? Your thoughts on token economics? >> So I haven't seen it from the economics standpoint. I've seen it from more of the algorithms and that standpoint. I actually have a good friend of mine, she's at Yale. And she actually runs the, she's executive director of their corporate law center. So I hear some from her on the legal side. I think what's really interesting is there's all these different arenas. Legal being a very important component in blockchain. As well as, from the mathematical standpoint. You know when I was in school way back when, we studied things like hash keys and you know, RSA keys and so from a math standpoint that's also a really cool aspect of it. So I think it's probably too early to say for sure what the economics part is going to actually look like. I think that's going to be a little more longterm. But what is exciting about this, is you actually see different parts of businesses, right? Not just the financial sector but also the legal sector and then you know say, the math and algorithms and you know. Having that integration of being able to build cooler things for that reason. >> Yeah the math's certainly exciting. Machine learning, obviously that's well documented. The growth and success of what, and certainly the interests are there. You seeing Amazon celebrating all the time. I just saw Werner Vogels, the CTO. Talking about another SageMaker, a success. They're looking at machine learning that way. You got Google with TensorFlow. You've got this goodness in these libraries now that are in the community. It's kind of a perfect storm of innovation. What's new in the ML world that developers are getting excited about that companies are harnessing for value? You seeing anything there? Can you share some commentary on the current machine learning trends? >> So I think a lot of companies have gotten a little more adjusted to the idea of ML. At the beginning everyone was like, 'Oh this is all new.' They loved the idea of it but they didn't really know what they were doing, right? Right now they know a little bit more. I think in general everyone thinks deep learning is really cool, neural networks. I think what's interesting though is everyone's trying to figure out where's the line. What's the different between AI versus machine learning versus deep learning versus neural networks. I think it's a little bit fun for me just to see everyone kind of struggle a little bit and actually even know the terminology so we can have a conversation. So I think all of that, right? Just anything related to that you know, when do you TensorFlow? What do you use it for? And then also say, from Google right? Which parts do you actually send through an API? I mean that's some of the conversations I've been having with people in the business industry, like which parts do you send through an API. Which parts do you actually have in house versus you know, having to outsource out? >> And that's really kind of your thinking there is what, around core competencies where people need to kind of own it and really build a core competency and then outsource where its more a femoral invalue. Is there a formula, I guess to know when to bring it in house and build around? >> Right. >> What's your thoughts there? >> Well part of it, I think is scalability. If you don't have the resources or the time, right? Sometimes time. If you don't have the time to build it in house, it does make sense actually to outsource it out. Also if you don't think that's part of your core business, developing that within house do you're spending all that money and resources to hire the best data scientists, may not be worth it because in fact the majority of your actual sales is with the sale department. I mean they're the ones that actually bring in that revenue. So I think it's finding a balance of what investment's actually worth it. >> And sometimes personnel could leave and you could be a big problem, you know. Someone walks about the door, gets another job because its a hot commodity to be. >> That's actually one of the big complaints I've heard is that we spend all this time investing in certain young people and then they leave. I think part of this is actually that human factor. How do you encourage them to stay? >> Let's talk about you. How did you get here? School? Interests? Did you go off the path? Did you come in from another vector? How did you get into what you're doing now and share a little bit about who you are? >> Yeah so I studied economics, mathematics, creative writing as an undergrad and statistics as a grad student. So you know, kind of perfect storm. >> Natural math, bring it all together. >> Yeah but you know its funny because I actually wrote about and talked about how data is going to be this big thing. This is like 2009, 2010 and people didn't think it was that important, you know? I was like next three to five years mathematicians are going to be a hot hire. No one believed me. So I ended up going, 'Okay well, the economy crashed.' I was in management consulting in finance, private equity hedge funds. Everyone swore like, if you do this you're going to be set for life, right? You're on the path. You'll make money and then the economy crashed. All the jobs went away. And I went, 'Maybe not the best career choice for me.' So I did what I did at companies. I looked at the market and I went, 'Where's their growth?' I saw tech had growth and decided I'm going to pick up some skills I've never had before, learn to develop more. I mean in the beginning I had no idea what an application development process was, right? I'm like, 'What does that mean to actually develop an application?' So the last few years I've really just been spending, just learning these things. What's really cool though is last year when my patents went through and I was able to actually able to launch something with Box at their keynote. That was really awesome. >> Awesome. >> So I became a long way from I think, have the academic knowledge to being able to apply it and then learn the technologies and then developing the technologies, which is a cool thing. >> Yeah and that's a good path because you came in with a clean sheet of paper. You didn't have any dogma of waterfall and all the technologies. So you kind of jumped in. Did you use like a cloud to build on? Was it Amazon? Was it? >> Oh that's funny too. Actually I do know Legacy's technology quite well because I was in corporate America before. Yeah, so like Sequel. For instance like when I started working data science, funny enough we didn't call it data science. We just called it like whatever you call it, you know. There was no data science term at that point. You know we didn't have that idea of whether to use R or Python. I mean I've used R over ten years, but it was for statistics. It was never for like actual data science work. And then we used Sequel in corporate America. When I was taking data it was like in 2012. Around then, everyone swore that no, no. They're going to programmers. Got to know programming. To which, I'm like really? In corporate America, we're going to have programmers? I mean think about how long it's going to take to get someone to learn any language and of course, now everyone's learning. It's on Sequel again right? So. >> Isn't it fun to like, when you see someone on Facebook or Linkdin, 'Oh man data's a new oil.' And then you say, 'Yeah here's a blog post I wrote in 2009.' >> Right. Yeah, exactly. Well so funny enough Ginni Rometty today was saying about exponential versus linear and that's one of the things I've been saying over the last year about because you know, you want exponential growth. Because linear anyone can do. That's a tweet. That's not really growth. >> Well we value your opinion. You've been great on The Cube. Great to help us out on those panels, got a great view. What's going on with your company? What are you working on now? What's exciting you these days? >> Yeah so one of the cool things we worked on, it's very much in line with what the IBM announcement was, so being smarter, right? So I developed some technology in the photo industry, digital assent management as well as being able to automate the renaming of files, right? So you think you probably a picture on your digital camera you never moved over because you, I remember the process. You open it, you rename it, you saved it. You open the next one. Takes forever. >> Sometimes its the same number. I got same version files. It's a nightmare. >> Exactly. So I basically automated that process of having all of that automatically renamed. So the demo that I did I had 120 photos renamed in less than two minutes, right? Just making it faster and smarter. So really developing technologies that you can actually use every day and leverage for things like photography and some cooler stuff with OCR, which is the long term goal. To be able to allow photographers to never touch the computer and have all of their clients photos automatically uploaded, renamed and sent to the right locations instantly. >> How did you get to start that app? Are you into photography or? >> No >> More of, I got a picture problem and I got to fix it? >> Well actually its funny. I had a photographer taking my picture and she showed me what she does, the process. And I went, 'This is not okay. You can do better than this.' So I can code so I basically went to Python and went, 'Alright I think this could work,' built a proof of concept and then decided to patent it. >> Awesome. Well congratulations on the patent. Final thoughts here about IBM Think? Overall sentiment of the show? Ginni's keynote. Did you get a chance to check anything out? What's the hallway conversations like? What are some of the things that you're hearing? >> So I think there's a general excitement about what might be coming, right? So a lot of the people who are here are actually here to, I think share notes. They want to know what everyone else is doing, so that's actually great. You get to see more people here who are actually interested in this technology. I think there's probably some questions about alignment, about where does everything fit. That seems to be a lot of the conversation here. It's much bigger this year as I'm sure you've noticed, right? It's a lot bigger so that's probably the biggest thing I've heard like there's so many more people than we expected there to be so. >> I like the big tent events. I'm a big fan of it. I think if I was going to be critical I would say, they should do a business event and do a technical one under the same kind of theme and bring more alpha geeks to the technical one and make this much more of a business conversation because the business transformation seems to be the hottest thing here but I want to get down in the weeds, you know? Get down and dirty so I would like to see two. That's my take. >> I think its really hard to cater to both. Like whenever I give a talk, I don't give a really nerdy talk to say a business crowd. I don't give a really business talk to a nerdy crowd, you know? >> It's hard. >> You just have to know, right? I think they both have a very different sensibility, so really if you want to have a successful talk. Generally you want both. >> Jennifer thanks so much for coming by and spending some time with The Cube. Great to see you. Thanks for sharing your insights. Jennifer Shin here inside The Cube at IBM Think 2018. I'm John Furrier, host of The Cube. We'll be back with more coverage after this short break.

(tech music) >> Announcer: Live from Madrid, Spain, it's the CUBE, covering HPE Discover Madrid 2017 brought to you by Hewlett Packard Enterprise. >> Welcome back to Madrid everybody this is the CUBE. The leader in live tech coverage. This is day one of our coverage of HPE Discover 2017. I'm Dave Vollante with my co-host Peter Burris. Jim Jackson is here, he's the senior vice president of the Enterprise Group at Hewlett Packard Enterprise. >> Happy to be here. Good to see you again and Jason Newton, vice president of global marketing at Hewlett Packard Enterprise. Guys, it wouldn't be a Discover without some big news, transitioning to Antonio. We're about to hear the key note but Jim, set up the week for us. The big news that we can expect. Show us a little leg. >> Yeah well first of all, thanks for having us here guys. We're really excited for this week. It's gonna be probably one of our biggest weeks of innovation. We've got a pretty amazing Discover lined up. So you're gonna see us talk about AI in the data center, so bringing predictive analytics from our Nimble acquisition it's called info site. We're extending that to three par so that really helps our customers predict and anticipate problems and solve them in advance. So that's really software-based leading with that. Another area is we're bringing consumption-based capabilities. A whole new suite of consumption offerings. We're branding it HPE Green Lake and it's really, think of purpose-built solutions for things like backup, SAP, data like environments but it's really outcomes as a service. So we're not able to give our customers the ability to have infrastructure as a service, and now outcomes as a service. And the other part of making hybrid IT simple that you're gonna hear about is how we're really helping our customers unify and manage that multi cloud environment. So applications are sitting in public clouds, private clouds, what we're hearing from our customers is, hey we need to be able to manage this a lot easier and have holistic ability to see all of that. So you're gonna see us talk about that on main stage as well. So new brands, a lot of innovation. We've also got some partnerships that we'll be rolling out later today. So a lot happening. >> Jason, you've spent a lot of time, sweat, toil, blood on branding. Obviously you're a big part of the branding exercise. Up leveling the messaging, we had you on two or three years ago, and you said, look, we're gonna change things. We're gonna shift the focus from product and widgets and really talk about what customers care about. How has that gone? Where are you at with that? It resonates extremely well with customers. In fact we just got out of a panel where we had four of our top customers, ABV, Dreamworks, IKEA and Nokia. And we just spent an hour just talking about their digital transformation journey and what they're all about. The room was packed. I think we had over 400 people who were in there. That's showing that we can be an innovation partner to those customers enabling them to share their stories at a venue like this is really powerful. >> We're becoming much more software and services led and it's really all about experiences. Providing that experience that our customers are looking for. >> Just follow up to that, so a lot of people think oh well HP, spun merge it's software business but you're leading with services and software. So help us clear that. >> We're doing a ton in software today. So if you just think of our software portfolio. We have HP 1V to manage our customers complete infrastructure estate, service storage and networking. We extended that last year with composability so HP and Synergy, we have over a thousand new customers since we announced that last year actually at this event. So we're seeing a lot of progress. Synergy enables our customers to really have one environment that can flex to the needs of multiple different applications so reduces over provisioning. AI, I talked about AI in the data center. So what we're doing with info site, that's software based, we're extending that to 3PAR and you'll see us extend that to other parts of the portfolio going forward. Nyara, and on the Aruba side of the house, software based. Aruba is very software centric and then of course, we'll be announcing this afternoon our code name project new stack, really about helping to manage that multi cloud environment. A lot happening in the software space and an area that we're very focused on. >> One of the things... By the way, we think that those three things that you mentioned, automation in the data center, on-premise capabilities and a cross multi cloud approach to management and managing your assets, absolutely spot-on. And we think ultimately and here's a question, we think that what's going to drive the determination is what does the data need? So talk to us a little bit about how you are articulating the idea of data as the new value source, the new value and hardware infrastructure and software and these capabilities, making it possible for the work to exist where the data requires. >> Yeah and I'll start maybe you can pile on a little bit. Our conversation starts with apps and data so we're starting the dialogue there and you know what we're seeing is you know really moving from large data centers, or only large data centers to centers of data that are really everywhere, right? So we're starting to see that edge really starting to proliferate and drive a lot more change, and what our customers are saying is wherever might, regardless of where my data sits, I need to manage it, I need to secure it, I need to process it, I need to be able to translate it into insight and that's really what our strategy is all about. We've been talking for the last couple of years about making hybrid IT simple. and we're really doing a lot in that space. So for example, we announced the acquisition of cloud technology partners and really what we're trying to do there it's the foremost authority really in helping customers understand how to migrate applications to to AWS or even to Google or Azure, and when you combine that with our on-prem capabilities, it really now starts to talk about data, we want to say your data is what matters and we want to help you manage that holistically. The software investments that we're doing enable you to have that complete view. And then from a consumption perspective, some of the things I talked about earlier, rolling that out right, making it easier to consume this as a service and only pay for what I use. So, we are in alignment. It all starts with data and wherever that data sits, it's how do I manage it? >> And that's why Aruba is such a great asset for us, because a lot of people think about Aruba as you know, you just replace copper wire and WiFi ... And hey, don't get me wrong, it's a money-making great business, but if you'd asked Kierty, he'd probably say we're a data business, right? >> Peter: We did ask him, and that is what he said. >> Is that what he said? Well, good, we're on message then. We're on message today, alright, yeah. I mean, because that's where the action is happening, that's where the data is being created, and so everything that they're doing around the the security 360 platform, the mobile first platform, everything is centered around, how do I draw a value in context from that data? >> Well I want to ask you about Aruba, because when you acquired Aruba, we said wow, this is a great business, it's gonna be a growth business, but is it a strategic weapon for HPE? Is it a strategic infrastructure component? From a messaging standpoint, It's all about the intelligent edge, that you've up-leveled that. Where'd that come from? Maybe take us through sort of the anatomy of-- >> Well I mean, the message is just exactly what we were saying. That if if value is gonna be created at the edge, if the data's gonna be coming from the edge, we have to drive a whole lot more intelligence into that edge in order to collect, process, analyze, secure the data that's coming in and make use of it, right? So I mean, that's where the genesis of the intelligent edge came from. >> Yeah, I mean I would say the other thing about Aruba that we're really seeing is all about experiences. So when we talk to our customers about Aruba, they're looking to deliver a different experience. Whether it's in retail, whether it's in stadiums, whether it's in the campus space. It's all about delivering a better experience. And that's really the value prop behind Aruba. Very software centric, open software, mobile solution. The other thing is, it's enabling us to engage more and more with parts of the company, customers that we might not have had as much engagement before. You know, the c-suite, you know, talking more with the line of business. because what they're focused on is how do I deliver that better experience? And Aruba's really playing a key role in doing that. We also have the view that ultimately, and you started the conversation about data, and we totally agree. But it has to be thought of from the edge, to the core, to the cloud. So whether we engage with Aruba, whether we engage with our core data center, capabilities, and our strengths there, or with services ... That's enabling us to holistically have a much more strategic conversation with our customers. So we're excited about that. >> I'd like to dig a little bit on this notion of AI for the data center, or AI for managing IT (mumbles). We'd like to talk about the difference between a breadth-first, which is I'm gonna do this, like in this big broad way, and we'll figure out how we're gonna get the components to participate, versus a depth-first. Which is, let's lean on suppliers, who know that hardware, know the software best, and ask them to create simulacrums, you know, digital representations that then will allow me to apply AI machine learning, et cetera. We like the depth-first approach, but customers ultimately want to see this bloom into a breadth approach. Talk to us a little bit about how individual elements are being represented, but in a coherent consistent way, so that you can get to a broader, overall set of automation across entire infrastructure. >> Well, I mean, I think that you're seeing the paradigm shift now. I mean for decades we've been chasing this idea that we can make the one tool to rule them all, this sort of magic management environment, one single pane of glass, everyone says that right? >> I've written a lot of research papers that suggested that, right? >> Right? And look, I think that's, we're done, alright? And the only thing we can do now is, how do we embed intelligence to make the infrastructure so smart it can take care of itself? And that's ultimately the experience that our customers are telling us that they want, right? Is, I don't want to be an expert on IT anymore. I don't wanna touch this stuff, I don't want to deal with it. >> Peter: Not just want, need. >> Right? I can't handle it, right? I mean, the scale and speed of everything is beyond the capacity ... I can't hire enough people to take care of it. So you know, I think starting there and saying, okay we're gonna start embedding that type of intelligence. Right now it's mostly predictive analytics type of stuff, but increasingly you're gonna see more true AI come in not just in the data center, with what we're doing with Nimble, right? But also with Nyara. Now we call it introspect, right at the edge. How do we start weaving that across to do a variety of things? Whether it's maintenance or performance optimization, or security. I think thinking of it like a continuous platform across the infrastructure is gonna give you that depth and kind of breadth of control that you're looking for. >> So that leads to kind of an ecosystem question, and I liked your comments on that. Because the question of breadth or depth, the answer is yes, you got to have both. The ecosystem posture has totally changed in the last year or so, subsequent. Because we had PWC on today. We've had Veam on earlier. These are-- >> Jason: They love us. Partners that you're putting forth, yeah. >> Jason: We're making them money. >> For sure, right. But they are partners that previously, you know, you wouldn't have profiled. Whether on stage, on the Cube, wherever. >> Jason: Yeah. >> How has the ecosystem evolved? >> I mean it's opening up a whole new set of opportunities for us. You know, if you think of when we had ES, a lot of people just felt like, hey we were gonna compete with them, right? Now that ES has spun out, we actually created another great partner in ES, but we've got a whole host of other SIs that want to engage with us. They want to take our capabilities in IT systems. Our consumption capabilities, and then align it with a value prop that they'll bring. So you talked about Veam for example, right? Data availability is really, really important for customers. So taking HPE and Veam together, we're able to deliver a great solution from data protection to recovery. Really powerful stuff, and we're seeing some great opportunities out there in the marketplace, and a very strong ROI. I mean, we have some data that says, hey over five years, is a 200% ROI. Another area, when you think of just partnering, right? Is what we're doing with our channel partners. So we're giving them more solutions that are channel centric, that we're driving through our channel organization, yeah. And then, we just announced a relationship a couple weeks ago with Rackspace. It's a managed private cloud, open source solution. We're using our consumption capabilities, combined with with Rackspace, their environment. And this is giving our customers the flexibility to now spin up very quickly, a private cloud environment that they're looking for with a lot of the public cloud capabilities. Very strong economics behind it. And then the edge, that's the other area we're seeing lots of new partnering opportunities as the edge continues to expand. So we believe that innovation is a team sport, and we're leaning in really hard, and I know you know the Gartner's and the IDCs don't track who are the best partners, but I think if they did, we would be at the top of the list. >> Well, probably a lot of this activity was going on previously, so it's not like you're starting from ground zero. >> Jim: Correct. >> But you just, from a marketing standpoint, you really didn't talk about it, because you had colleagues, whether it was from EDS or the software division that's saying, hey, don't talk about that, help us out here. So, how has that changed the way in which you market? One of the big values is your go-to-market. I mean, people are drooling to now partner with HPE. >> Yeah, and one of the big reasons is honestly, is point next. Because they see the value in what Accenture or PwC, or Wipro can bring from understanding a business, or whatever, versus the deep technical knowledge of a point next to come in, and what they really love is the consumption model stuff that we've been able to wrap around it. They see that customers want, that in order to move fast with less risk, right? You've gotta have some sort of financial lever that says, okay, I can start small and I can grow over time. I'm not putting all my money out in one place and we've been building that with flex capacity over the last several years. You're gonna see, well, I guess we announced yesterday, a new Green Lake ... Making that even simpler to consume. Every one of our partner says, I wanna take your IT expertise in that consumption based model and wrap it around a total solution. And that's what's like white-hot right now, and there's unlimited opportunity right now from ... As Jim said, edge to core to cloud. >> And we have another one we're gonna announce on stage in a couple of hours, so we're pretty excited about that as well. >> Well, you see that in the numbers too, yeah. >> Jason: I think we might have a clue what that is. >> We're excited about that. >> Yeah, I know, it is. Well, look, and you kind of you kind of gave something of a preview when you talked about the three things that you want to be able to do. Because there's one brand that hasn't been mentioned yet. But ultimately the business is recognizing that the technology questions that we're raising here are crucial to their future success, but they don't want them to be a continuous source of antagonism. >> Group: Right. >> So they recognize that they need the capability, but they want to dramatically simplify the degree to which it's evasive. I once had a CIO tell me that the value of my infrastructure is adversely proportional to the degree to which anybody in my business knows anything about it. So how do you then take steps to ensure that your customers don't know anything about the infrastructure, even though they have the infrastructure where the data demands, which is gonna be at the edge, and on premise? >> I think that's some of the things we're focused on now. So software to make infrastructure much more frictionless. And you're not really worrying about managing that infrastructure, it's just there to power the business, to deliver the business. Consumption-based offerings with Green Lake, this is truly purpose-built stacks for specific things, because our customers are telling us, I don't want to have to set all that up and manage it, but I want that outcome, and I only want to pay for what I use. So those are just a couple of examples of how we're trying to simplify it. Because ultimately it's all about the experience and the outcome and being able to translate all that data into insight. >> Well, when you're simplifying your face to the world, we heard in the last earnings call, new reporting structure going forward. Hybrid IT ... intelligent edge, and financial services, which is exploding, the consumption base modeling 22% growth last quarter. So organizationally, presumably, you've started to take that shape, and that's how you're presenting your face to the world. Is that right? >> Yeah, and that's helping us to really break down some of the silos, that has existed in this company for a while. And you're seeing that really, really becoming much more unified in terms of how we go to market, and how we think about engaging with our partners how we engage with our customers. >> Are your customers breaking down those silos at a consistent rate? Are you a little bit ahead, a little bit behind? How would you evaluate that? I think it's a transition, it depends on which customer, which sector. We still see some of some of them that are maybe a little behind. Some that are a little bit ahead, but really everybody wants to start the conversation much more about, how do I move faster? How do I accelerate my business? It's all focused on outcomes starting at that data level, and then how can you help me? And this is where I think some of the acquisitions that we've made, like CTP are very empowerful, and then all the software capabilities that we're bringing as well. So we're leading the dialogue much more around that. >> And the only way they're gonna get there is to break down those silos. >> Jim: Absolutely, absolutely. And we have to help them do that, right? We have to help them do that and give them the solutions to do this. >> So Jim, I want to go back to a point that you made about those other two research firms, Gartner and IDC I think it was. But you said that if they were measuring the value, or if there was a magic quadrant for who is the best partner, you guys would be up in the upper right hand quadrant? But partners in this world, especially here in Europe, are more than just the big guys. >> Jim: Yes. >> How are you taking steps to ensure that that large mass of crucially important companies out there, that still where a lot of that innovation, a lot of that excitement really is, are coming with you, are able to move with you? Because your ability to certainly provide them with financial support is important, but your ability to show them the future, and have them see their business in the future, is going to be crucial to whether or not they stay with you. >> And I think we're doing a couple of things. We created our Pathfinder program, I'm sure you guys are aware of that, right? So these are some of the newer partners coming up, we're actually investing in them, helping to scale them, because we think it's going to be unique innovation. Another area is this program that we have called Cloud 28 Plus, where we have a whole network of providers, service providers, ISVs, SPs, that's part of a network that we're able to grow and kind of scale that ecosystem, so I don't know if you want to comment anything more on that, but-- >> Jason: Up to 700 now (mumbles). >> Yeah, so Saviea is very passionate about this obviously, but he's done some some really good things-- >> Peter: And he should be passionate about it. >> But that gives us an ecosystem now of partners who are part of that HPE ecosystem, but different use cases, different compliance needs, they sit in different regions, so we're able to give our customers a lot of that flexibility. >> Alright, gotta give us something on the key note. Just a tidbit. What can you share? A little nugget? >> I mean, you know-- >> Dave: Teaser. >> Some themes we've talked about. You'll hear the word friction free a lot, how do we make things invisible? And really demonstrating how with services and software, and consumption-based service models, can we do that for customers? You'll hear a lot of those themes. We'll highlight some of the things we've announced over the last 24 hours, a few weeks. So we'll emphasize what we've done around Nimble and info site, and the importance of AI in the data center. We'll obviously spotlight point next, and Anna and her energy, she's gonna be out there and really firing people up. And a few surprises in the software space that will come today, that it'll probably cause the market to do a bit of a double take and say who is that that's doing this again? Yeah, it's us, it's HPE doing that. >> And you'll see us also talk about a little bit of a vision in terms of how we see the market starting more at the edge, bringing in AI, composing for different kinds of environments, and then how HPE has really been able to invest, so we're gonna start to show that over the last couple years, we have had a very clear agenda where we want it to go, and now that's all coming to fruition, so we'll start to show all that holistically in terms of our technology vision. So that's another thing that we're gonna be highlighting. >> Great. Perfect timing, we can hear the announcement. Keynotes are coming up, we'll be broadcasting those on our twitch channel. Siliconangle.com/twitch You can go to HPE.com and see the keynotes as well. Gents, great energy, awesome to see you. >> It's great to see you guys, thank you. >> We'll be watching the college football ranks. You guys have a fun little rivalry of Ohio State here. >> The Ohio State. >> Dave: ... Yale, but nobody cares. >> Baker for Heisman. >> Dave: Gents, thanks very much for coming. >> Thanks guys, appreciate it. >> Keep right there everybody, we'll be back with our next guest right after this short break. (soft tech music)

>> Live from Orlando, Florida, it's theCUBE covering Grace Hopper's Celebration of women in computing. Brought to you by SiliconANGLE Media. >> Hey welcome back everybody. Jeff Frick here at theCUBE. We're at the Grace Hopper Celebration of Women in Computing, the best name in tech conferences. 18,000 women here in Orlando, filling up the Orange County Conference Center. We're excited to be here for our fourth year, and part of the whole program is getting some of the leadership from AnitaB.org on to give us an update and we're really excited to have Elizabeth Ames. She's the SVP of Marketing and Alliances and Programs but we just think of her as Elizabeth at AnitaB.org. So, Elizabeth, great to see you. >> Great to be here. >> Absolutely >> We're thrilled to have you here at the Celebration. >> I can't believe it's been four years. I've been telling so many people. There are still so many people that have never been here. I was amazed at the keynote, the first day, there was the call, the houselights went up, how many people it's their first time, and as big as this conference is, as much the people that know it love it, there's still a lot of people that have not been exposed to this show. >> It's absolutely the case. We have every year it seems like more and more sort of first timers. Which is great because we love to have them come but we'd love to have them come back. I think it's really an expression of how this issue has become a big issue and that the women are really engaged and excited and they want to be a part of it, so it's great. >> The other thing I don't think a lot of people know is there's obviously a lot of recruiting going on, there's a lot of young people here which is really what I think gives it its flavor, but we had Workday on. They said they had 140 people here from Workday. I talked to a guy last night at dinner from Google, I think they had 180 people and I said to her, "Do you have any show "that you bring that many people to "that's not your own show, so the amount of investment" And then I said, it's all young, fresh out of school No, it's all ranges, all ages. So again, I think there's a lot going on here that people are just not that exposed to. >> Yeah, that's absolutely true. So, if you look at our attendance overall, about 70% are industry and a lot of those are companies that are bringing their women and some of them are their younger women who have maybe been in the firm, in the company for a year or two or three or something like that, but the place where a lot of women drop out of the industry is more mid-career and so I think more and more companies are seeing this as a way to help their mid-career women recommit to the field and make those connections with the community at large and get a little bit more reinvigorated so we definitely see companies bringing all kinds of women out of their organization, and they like to bring a mix, so that they have some of their senior women that are sort of mentoring women who are mid-career or women who are more junior and it just gives them a really good mix. And then about 30% of our attendees are academic, we call it academic, but it's primarily students, so undergraduate, graduate, post doc, and research type people, and then some amount of professors and teaching assistants, those types of people. >> Yeah, and I really think it's the youth that give this show its special vibe. I mean there's a lot of great keynotes and some fantastic stories and really great global representation, a ton of African representation. But I do think it's the youth, it's the youngsters that bring a really unique and positive energy that you don't really see at many other conferences. >> Yeah, and I think part of that is that the community at large, you know women that are in the field they care about the women coming up and they want them to succeed and they want them to have every single opportunity so everybody's kind of invested in them and interested in nurturing and helping them along. So it does create this really, I don't know, positive environment, right. We always jokingly say there's a reason we call it a celebration. We don't call it a conference, we call it a celebration. >> Everyone's a delegate too. I like that too. It's not attendees. And that's come up on a number of interviews too where when people have reflected back on people that have helped them along the way the payback, it's almost like it's been scripted is, OK, now you need to do this to the next person to really pay it forward and that again is a consistent theme that we have also heard from the keynotes earlier today, that it is about paying it forward, which is funny because sometimes you'll hear kind of a catty women reputation that they're trying to keep each other down, you know that that was kind of a classic, another hurdle that women had to face in the professional world that they weren't necessarily supporting each other, and that is not the case here, at all. It's very much a supportive environment. >> We may have a self selection bias going on here >> Well that's okay >> But I think there's nothing but support for one another in the community and everybody recognizes that we all have to pull together. >> Right. So interesting times at AnitaB.org, the organization that puts on Grace Hopper, change of leadership, we had Brenda on, so kind of a fresh face, fresh energy. Telle. I'm going to see if I can get her a horse tomorrow to ride off into the sunset if the sun breaks out here in Orlando, so it's exciting times. It's a time of transition, always a little kind of mixed feelings, but also tremendous excitement and kind of new chapter, if you will. So tell us a little bit about what's going on at AnitaB.org >> It's an incredibly exciting time. First of all, a nod to Telle. She's been at the helm for 15 years. She's seen an incredible amount of growth. She took this on really as a favor to her dear dear friend and then took on the mantle upon Anita's death. She's done an amazing job. She's certainly an icon within the community overall I'm sure you'll hear more from her in the future. It's been great. Brenda is new fresh face. She has accomplished some pretty amazing things with the Chicago Public Schools. She's really invigorated to step into this space and it's great having her. I think the thing that you really, hopefully you got from her when she was here is that she is just this incredibly genuine person. She's lived the experience. She can relate to what all of these women have gone through. She has this profound commitment to make things different. And just the biggest heart that you could possibly imagine. >> Right, and a little chip on her shoulder. Which she talked about and it's come up time and time again where when people are told they can't do things for a lot of people, there's no greater motivator than being told you can't do this, you shouldn't do this, you're not qualified. She said "I've been in positions "where I've been told I can't be there." So to have that little chip on her shoulder I think is a real driver for many folks. >> It is. We recently did a little written piece it hasn't actually gotten published yet where we kind of went back and looked at a lot of the language that we're hearing today about women are not biologically suited to be programmers or women aren't this or women aren't that. And we did this little let's look back historically, and when did women get certain rights, and one of the things that really stood out for us in looking at that was women weren't admitted to all of the premier colleges, Harvard, Yale, whatever, until the 1960s. Which is kind of shocking when you think about it. >> Yeah, it's like yesterday practically. >> The language that was used at the time was almost identical to the language that we're hearing today. Women weren't biologically suited for this, it's really not in the right makeup for them. And yet today, half the students at those schools are women. And women have earned their way there. I just kind of laughingly say it's like deja vu all over again. We've heard all of that. we've heard people tell us you can't do that, you shouldn't do that, no you're not welcome and I think women they're not going to back down. >> It's interesting times too, because the classic gates, the distribution gate, the financing gate, the investment gate, to build companies, to create companies, they've all been broken down and kudos or serendipitously computing is the vehicle that's broken down a lot of those traditional barriers. You used to be, you couldn't start a new company because you had to get into distribution. You couldn't be a writer, there was only a few newspaper editors that controlled everything. That's all completely changed and now ubiquitous distribution, democratization of software, open source, you don't have to raise a bunch of money and buy a bunch of servers. It's so much easier to go out and affect the world and there's no easier way to affect the world than writing a great piece of software. >> Yeah, I think you're spot on on that. There's so much more leverage out there for people that want to start something. I believe that will accrue to the advantage of women. I always end up saying women are going to do great things and then I have to stop myself and say they are doing great things today. I think we've seen that already with some of the keynotes. Fei-Fei Li, and yet you hear her story as an immigrant and as a mother, as an Asian woman. She's had her challenges and she told her personal story not like with a woe is me but with a clear eye towards the things that she had to overcome to get where she was. >> And a lot of hard work, just a flat out a lot of hard work including working at the dry cleaners while she was going to school. >> Yeah, exactly. And yet there she is, one of the leaders in that space and doing incredible things. So I think you're starting to hear more and more about those women. I think they've always been there. I think that we just don't hear as much about them. So, this venue is such a great opportunity for us to hear more of their stories. >> Right, and we learned a lot about that last year with the whole Hidden Figures thing that we had on here as well as the movie and that was again, in the 60's. So we're in October, it's kind of the end the year. As you look forward to 2018, what are some of your priorities for AnitaB.org? I won't put you on the hook to tell us where Grace Hopper will be next year. You can tell us if you want. >> I saw it posted at Pride someplace. >> Is it posted already? >> I saw that and it was like whoa, I didn't know that was in the wild yet. >> But give us kind of a look. What are your priorities for next year? I know AVI Local has been a thing that's been growing over time. What are you kind of looking at as you're doing your 2018 planning? >> As amazing as it is to have 18,000 people here, which just blows our mind, we hope it continues to grow. We also know that no matter how big this conference gets that not everyone will be able to come here for a variety of reasons and so building out the local communities and making it so that, empowering those local communities to have smaller versions of this type of thing and growing this movement to a bigger scale that really encompasses all the women that are out there because even though people here say "Oh, 18,000 women, holy cow" it's a tip of the iceberg. There are thousands and thousands more women out there, we know there are. We really want to find a way to reach every single one of them and bring support and connection and inspiration to every single one of them so that they stay in the field, can achieve their dreams and their highest potential. That will have an impact on them and on the communities they live in. That's really what our focus is. >> Well, Elizabeth, again. Always great to see you. Congratulations on a phenomenal conference. And thank for inviting us to be here. It's really, honestly, one of our favorite places to be. >> We love having you here. I would just end by saying all you people out there, come join us next year. >> There you go. Are you going to tell them where? >> Houston, Texas. >> In Houston. - Back in Houston. >> Good barbecue. Ask me, I'll tell you where to go. Alright, she's Elizabeth Ames. I'm Jeff Frick. You're watching theCUBE from the Grace Hopper Celebration of Women in Computing 2017. Thanks for watching. [Upbeat Techno Music]

>> Announcer: Live from Boston, Massachusetts this is the CUBE covering Spark Summit East 2017 brought to you by Databricks. Now, here are your hosts Dave Vellante and George Gilbert. >> Welcome back to Boston everybody this is the CUBE. We're live here at Spark Summit East in the Hynes Convention Center. This is the CUBE, check out SiliconANGLE.com for all the news of the day. Check out Wikibon.com for all the research. I'm really excited about this session here. Al Essa is here, he's the vice president of analytics and R&D at McGraw-Hill Education. And I'm so excited because we always talk about digital transformations and transformations. We have an example of 150 year old company that has been, I'm sure, through many transformations. We're going to talk about a recent one. Al Essa, welcome to the CUBE, thanks for coming on. >> Thank you, pleasure to be here. >> So you heard my little narrative up front. You, obviously, have not been with the company for 150 years (laughs), you can't talk about all the transformations, but there's certainly one that's recent in the last couple of years, anyway which is digital. We know McGraw Hill is a print publisher, describe your business. >> Yeah, so McGraw Hill Education has been traditionally a print publisher, but beginning with our new CEO, David Levin, he joined the company about two years ago and now we call ourselves a learning science company. So it's no longer print publishing, it's smart digital and by smart digital we mean we're trying to transform education by applying principles of learning science. Basically what that means is we try to understand, how do people learn? And how they can learn better. So there are a number of domains, cognitive science, brain sciences, data science and we begin to try to understand what are the known knowns in these areas and then apply it to education. >> I think Marc Benioff said it first, at least the first I heard he said there were going to be way more Saas companies that come out of non-tech companies than tech companies. We're talking off camera, you're a software company. Describe that in some detail. >> Yeah, so being a software company is new for us, but we've moved pretty quickly. Our core competency has been really expert knowledge about education. We work with educators, subject matter experts, so for over a hundred years, we've created vetted content, assessments, and so on. So we have a great deal of domain expertise in education and now we're taking, sort of the new area of frontiers of knowledge, and cognitive science, brain sciences. How can learners learn better and applying that to software and models and algorithms. >> Okay, and there's a data component to this as well, right? >> So yeah, the way I think about it is we're a smart digital company, but smart digital is fueled by smart data. Data underlies everything that we do. Why? Because in order to strengthen learners, provide them with the optimal pathway, as well as instructors. We believe instructors are at the center of this new transformation. We need to provide immediate, real-time data to students and instructors on, how am I doing? How can I do better? This is the predictive component and then you're telling me, maybe I'm not on the best path. So what's my, "How can I do better?" the optimal path. So all of that is based on data. >> Okay, so that's, I mean, the major reason. Do you do any print anymore? Yes, we still do print, because there's still a huge need for print. So print's not going to go away. >> Right. Okay, I just wanted to clarify that. But what you described is largely a business model change, not largely, it is a business model change. But also the value proposition is changing. You're providing a new service, related, but new incremental value, right? >> Yeah, yeah. So the value proposition has changed, and here again, data is critical. Inquiring minds want to know. Our customers want to know, "All right, we're going to use your technology "and your products and solutions, "show us "rigorously, empirically, that it works." That's the bottom line question. Is it effective? Are the tools, products, solutions, not just ours, but are our products and solutions have a context. Is the instruction effective? Is it effective for everyone? So all that is reliant on data. >> So how much of a course, how much of the content in a course would you prepare? Is it now the entire courseware and you instrument the students interaction with it? And then, essentially you're selling the outcomes, the improved outcomes. >> Yeah, I think that's one way to think about it. Here's another model change, so this is not so much digital versus non-digital, but we've been a closed environment. You buy a textbook from us, all the material, the assessments is McGraw Hill Education. But now a fundamental part of our thinking as a software company is that we have to be an open company. Doesn't mean open as in free, but it's an open ecosystem, so one of the things that we believe in very much is standards. So there's a standard body in education called IMS Global. My boss, Stephen Laster, is on the board of IMS Global. So think of that as, this encompasses everything from different tools working together, interoperability tools, or interoperability standards, data standards for data exchange. So, we will always produce great content, great assessments, we have amazing platform and analytics capability, however, we don't believe all of our customers are going to want to use everything from McGraw Hill. So interoperability standards, data standards is vital to what we're doing. >> Can you explain in some detail this learning science company. Explain how we learn. We were talking off camera about sort of the three-- >> Yeah, so this is just one example. It's well known that memory decays exponentially, meaning when you see some item of knowledge for the first time, unless something happens, it goes into short-term memory and then it evaporates. One of the challenges in education is how can I acquire knowledge and retain knowledge? Now most of the techniques that we all use are not optimal. We cram right before an exam. We highlight things and that creates the illusion that we'll be able to recall it. But it's an illusion. Now, cognitive science and research in cognitive science tells us that there are optimal strategies for acquiring knowledge and recalling it. So three examples of that are effort for recall. If you have to actively recall some item of knowledge, that helps with the stickiness. Another is space practice. Practicing out your recall over multiple sessions. Another one is interleaving. So what we do is, we just recently came out with a product last week called, StudyWise. What we've done is taken those principles, written some algorithms, applies those algorithms into a mobile product. That's going to allow learners to optimize their acquisition and recall of knowledge. >> And you're using Spark to-- >> Yeah, we're using Spark and we're using Databricks. So I think what's important there is not just Spark as a technology, but it's an ecosystem, it's a set of technologies. And it has to be woven together into a workflow. Everything from building the model and algorithm, and those are always first approximations. We do the best we can, in terms of how we think the algorithm should work and then deploy that. So our data science team and learning science team builds the models, designs the models, but our IT team wants to make sure that it's part of a workflow. They don't want to have to deal with a new set of technologies, so essentially pressing the button goes into production and then it doesn't stop there, because as Studywise has gone on the market last week, now we're collecting data real-time as learners are interacting with our products. The results of their interactions is coming in to our research environment and we're analyzing that data, as a way of updating our models and tuning the models. >> So would it be fair to say that it was interesting when you talked about these new ways of learning. If I were to create an analogy to Legacy Enterprise apps, they standardize business transactions and the workflows that went with them. It's like you're picking out the best practices in learning, codifying them into an application. And you've opened it up so other platforms can take some or all and then you're taking live feedback from the models, but not just tuning the existing model, but actually adding learning to the model over time as you get a better sense for how effort of recall works or interleaving works. >> Yeah, I think that's exactly right. I do want to emphasize something, an aspect of what you just said is we believe, and it's not just we believe, the research in learning science shows that we can get the best, most significant learning gains when we place the instructor, the master teacher, at the center of learning. So, doing that, not just in isolation, but what we want to do is create a community of practitioners, master teachers. So think of the healthcare analogy. We have expert physicians, so when we have a new technique or even an old technique, What's working? What's not working? Let's look at the data. What we're also doing is instrumenting our tools so that we can surface these insights to the master practitioners or master teachers. George is trying this technique, that's working or not working, what adjustments do we need to make? So it's not just something has to happen with the learner. Maybe we need to adjust our curriculum. I have to change my teaching practices, my assessments. >> And the incentive for the master practitioners to collaborate is because that's just their nature? >> I think it is. So let's kind of stand back, I think the current paradigm of instruction is lecture mode. I want to impart knowledge, so I'm going to give a lecture. And then assessment is timed tests. In the educational, the jargon for that is summit of assessments, so lecture and tests. That's the dominant paradigm in education. All the research evidence says that doesn't work. (laughs) It doesn't work, but we still do it. >> For how many hundreds of years? >> Yeah. Well, it was okay if we needed to train and educate a handful of people. But now, everyone needs to be educated and it's lifelong learning rate, so that paradigm doesn't work. And the research evidence is overwhelming that it doesn't work. We have to change our paradigm where the new paradigm, and this is again based on research, is differentiated instruction. Different learners are at different stages in their learning and depending on what you need to know, I'm at a different stage. So, we need assessments. Assessments are not punitive, they're not tests. They help us determine what kind of knowledge, what kind of information each learner needs to know. And the instructor helps with the differentiated instruction. >> It's an alignment. >> It's an alignment, yeah. Really to take it to the next stage, the master practitioners, if they are armed with the right data, they can begin to compare. All right, practices this way of teaching for these types of students works well, these are the adjustments that we need to make. >> So, bringing it down to earth with Spark, these models of how to teach, or perhaps how to differentiate the instruction, how to do differentiated assessments, these are the Spark models. >> Yeah, these are the Spark models. So let's kind of stand back and see what's different about traditional analytics or business intelligence and the new analytics enabled by Spark, and so on. First, traditional analytics, the questions that you need to be able to answer are defined beforehand. And then they're implemented in schemas in a data warehouse. In the new order of things, I have questions that I need to ask and they just arise right now. I'm not going to anticipate all the questions that I might want to be able to ask. So, we have to be enable the ability to ask new questions and be able to receive answers immediately. Second, the feedback loop, traditional analytics is a batch mode. Overnight, data warehouse gets updated. Imagine you're flying an airplane, you're the pilot, a new weather system emerges. You can't wait a week or six months to get a report. I have to have corrective course. I have to re-navigate and find a new course. So, the same way, a student encounters difficulty, tell me what I need to do, what course correction do I need to apply? The data has to come in real-time. The models have to run real-time. And if it's at scale, then we have to have parallel processing and then the updates, the round trip, data back to the instructor or the student has to be essentially real-time or near real-time. Spark is one of the technologies that's enabling that. >> The way you got here is kind of interesting. You used to be CIO, got that big Yale brain (laughs) working for you. You're not a developer, I presume, is that right? >> No. >> How did you end up in this role? >> I think it's really a passion for education and I think this is at McGraw Hill. So I'm a first generation college student, I went to public school in Los Angeles. I had a lot of great breaks, I had great teachers who inspired me. So I think first, it's education, but I think we have a major, major problem that we need to solve. So if we look at... So I spent five years with the Minnesota state colleges and university system, most of the colleges, community colleges are open access institutions. So let me just give you a quick statistic. 70% of students who enter community colleges are not prepared in math and english. So seven out of 10 students need remediation. Of the seven out of 10 students who need remediation, only 15% not 5-0, one-five succeed to the next level. This is a national tragedy. >> And that's at the community college level? >> That's at the community college level. We're talking about millions of students who are not making it past the first gate. And they go away thinking they've failed, they incurred debt, their life is now stuck. So this is playing itself out, not to tens of thousands of students, but hundreds of thousands of students annually. So, we've got to solve this problem. I think it's not technology, but reshaping the paradigm of how we think about education. >> It is a national disaster, because often times that's the only affordable route for folks and they are taking on debt, thinking okay, this is a gateway. Al, we have to leave it there. Awesome segment, thanks very much for coming to the CUBE, really appreciate it. >> Thank you very much. >> All right, you're welcome. Keep it right there, my buddy, George and I will be back with our next guest. This is the CUBE, we're live from Boston. Be right back. (techno music) >> Narrator: Since the dawn of the cloud

>>Live from Las Vegas, Nevada. It's the cube covering EMC world 2015. Brought to you by EMC, Brocade and VCE. >>Okay. Welcome back everyone. We are live here in Las Vegas with the cube at EMC real 2015. I'm John ferry, the founder of Silicon Ang. I'm joined with two special guests. Stella Lowe. Who's the global communications at EMC runs, global communications and Amy Posey, neuro facilitator at peak teams. Welcome to the cube. >>So >>You had a session women of the world. We did it last year, but great cube session last year. Um, so I want to get a couple of quick questions. What's going on with women of the world, what you guys just came from there and you guys were on the panel and then what is a neuro facilitator? And then let's get into it. Let's talk about men and women, how we work together. >>Okay, great. So let's start with women of world. So, um, so last year we talked about the challenges that we face and how we reframe them into opportunities that we had some fantastic panelists, but this year I was really interested in the science behind men and women. So it's clear that we're different and we're all bled for success, but, but we're wired differently. And we kind of knew that already. I know we talked about it before John, but we now have the science behind it. We can look at brain scans and we can see that we, Oh, we have different brain patterns. We think differently, uh, different parts of the brain fire fire up when, in times of motivation and stress and people like Amy here, who've done lots of work into this, have having the stages. It was great to have her on the panel to discuss it. >>I'm going to give you a plug because EMC does all kinds of things with formula one cars, motorcycles, getting the data and understanding the race. But now you're dealing with people. So what is going on? Tell us what's up neuro facilitator and let's >>So a neuro facilitator is maybe the best made up job title in the world that I gave myself. So essentially what I do is I look at information about the brain and I curate the research that's out there. So there's a lot of new technology to actually read and look inside our heads. We all have a brain, but we don't necessarily all know how it works. So there's a lot more research and, and tools to read our brains and take a look inside. So what I do is I take that research and, and work with, um, neuroscientists and neurobiologist at Stanford, Columbia, UCLA, and, and reach out and figure out how do we take that information and make it easier, still attain. And I do it in the scope of leadership at organizations like EMC and other technology companies to figure out how do we work better? What information is out there? You know, soft skills and sort of relationship skills. I've always been sort of squishy, right? So now there's a lot more science and information about our brains that are informing it. The, the data's out there, what I do and what my job is, is to pull the data and figure out how do we make it into practical, useful applications for us at work at home, wherever we are. So that's essentially, I'm doing so you >>Guys discussed and how men and women are different. Actually look at the data. We have to give a lot of qualitative data. I mean, it keeps counselors in business. You know, the grant in the workforce, uh, balance is important, but we have a lot of that data, but what's the numbers. What is your findings? So >>What's interesting is looking at men and women's brains. What's fascinating is that we are more alike than dissimilar in looking at a brain. If you looked at a brain scan, one of a man and woman, you wouldn't be able to tell the difference between the two, but they're now finding and looking at different parts of the brain in different functions. So for instance, men have approximately 6% more gray matter than women. So in terms of the gray matter, that's the thinking brain essentially, and women have more white matter than gray. Matter about 9% more than men. And the white matter is what connects the brain and communicate both front and back and side to side. And so you can make some extrapolation of that information and say, you know, men may focus more on issues, solutions, problems, whereas women sort of think more broadly or wider. >>So, I mean, there are generalities, but a lot of the sciences is fascinating. There's also some interesting science about the hippocampus, which is, um, sort of deep. If this is your brain, it's deep inside the brain and the hippocampus is the memory center. And it's what they're finding is that for women, they tend to store emotional memories more effectively. So happy, sad, fearful those types of emotions get stored more effectively in the hippocampus. Whereas men oftentimes during stress, the hippocampus actually has a challenge in making connections. So that's where, again, some of the, the focus and determination and silo viewed sometimes that men have in situations or problems comes into play. Um, there's one other piece, the anterior cingulate cortex, which is sort of within the brain and that's the brains error detector. And it turns out it's a little bit bigger in women. So women sort of tend to look for, uh, issues CA you know, problems, um, maybe less solution focused, especially under times of stress and, and a lot of this, data's interesting. >>It, it causes you to make some generalities, you know, not everybody is going to operate in that way. Your mileage may theory, but it's, it's good because it helps us inform some of the quirky behavior that we deal with at work and figuring out why, why don't you do that? Why do you do that and installed that women being better or women using more of the brain or less of the brain it's, it's, it's simply about we, we, if all brains away from differently, we both bring different things to the table. And how do you take both of those benefits and bring them forward into a better outcomes? >>Always great to talk about because in the workforce, people are different. And so differences is a term that we use, like, you know, with kids learn differently, some have evolved differently and men and women have had differences. So the data shows that that's clear. Um, I want to share a quote that my wife shared on Facebook. It says mother, um, well, a worried mother does better research than the FBI. So, um, I bring that up, you know, it's instinctual. So a lot of it's also biological and also environmental talk about the dynamics around that, that wiring, because you're wired by your upbringing too, that affects you. And what's the, what's the data show in the biology. >>So it's interesting because the, the key piece is that it's not just the biological brain differences. It's, it's a whole host of factors that leave a footprint on us, in our behavior. So it's our education, it's our, uh, you know, where we, where we grew up, our culture is part of that. It's also gender stereotypes that play a role in how we operate. And I think all of those things leave a footprint on a, an and lead us to different behaviors. And so you can't just say it's the, the, the information that's on our brains. It's a whole host of factors that influence. So my study of looking at how the brains are a little bit different and what the research is coming, it's, it's blended in with research around leadership and things like confidence and motivation in the workplace bias in the workplace. And they're, they're showing very different things. >>So for instance, if you think about confidence, we did an interesting exercise in the event at women of world. And I asked, you know, there's, there's a lot about confidence and confidence is essentially the will or motivation to act. So how many women in the room, uh, would raise the, you know, go up for a job that they were really interested in and fascinated by, but maybe weren't a hundred percent qualified for, like, how many of you have maybe turned down that job or decided not to apply because it wasn't the right time. Like you, you're pretty competent, but not a hundred percent confident in it. And it was funny because the majority, all the women's hands went up in the room. So then I asked him, I flipped the question in the room and I asked the men in the room. I said, okay, if you were only about 50% confident for a job that you were going up for, would you, of course, right. Like, yes, I >>Fabricate some stuff on their resume and you make >>Them look bigger. So, exactly. So what's interesting is testosterone plays a role in confidence and motivation at work. And it turns out men have 10 times the amount of testosterone as women do. So part of that is that aggression, but we both have it, but that, that aggressive factor, that idea to go after something, to be more confident, um, women are behind the curve in that, from the research that I've seen. So it takes more effort to, to, to be able to have the confidence, to go for it and to sort of break down those barriers that exist for women to, to go after those jobs that they want, even if it's not a hundred percent. And so we did a, an exercise in boosting confidence in testosterone called power posing. And Amy Cuddy out of Harvard does a, a whole Ted talk on it, which is fascinating. >>But the idea is that you, you know, you, you put your chest back, you put your hands on your hips and it helps boost your testosterone up to about 20%. And it reduces cortisol, which is a stress hormone. So it's a, it's a quick way. You don't do it in front of people. You do it sort of on the sly or else you kind of, you don't look very nice to others, but you, you boost your confidence doing that. And it's just a small sort of brain hack that you can do to give yourself an upper hand, knowing that knowing the science behind it. So it's a behavior changing type of research that's coming out, which I think is really, >>That's really interesting, but now it translates into leadership and execution in the workforce. So people are different than men and women are different that changes the dynamic around what good is, because if your point about women not asking for that job or having confidence to the field, like I'm not going to go for it, like a man bravado, whatever testosterone that's what mean that that's the benchmark of what drive means. So this came up with Microsoft CEO at the Anita board conferences, which we had a cube there. And, and this is a big issue. So how do HR, how do the managers, how do people recognize the differences and what does the data show, and, and can you share your thoughts on that? >>Yeah, so I think a lot of it comes down to bias and bias is essentially a shortcut that we use in our brains to take less energy. And it's not a bad thing. It's, it's something we all do. And it's conscious and it's unconscious. So bias, I think is a key piece of that. And the research on bias is fascinating. It's very, it's, it's very popular topic these days, because I think being able to do a couple of things, be aware that there are hundreds of biases and they're both conscious and unconscious, uh, acknowledge that it exists, but not legitimize it not make that. Okay. The third piece is to, to counter it and, and being able to counter bias by making sure that people have opportunities. And even though you may have re removed hypothetical barriers explicitly stating that you want people, men, or women to apply for promotions, be this type of leader, not just assume that because there are no barriers that it's okay, but really be explicit in how you give people opportunities and let them know that they're out there. I think that's really key. >>Yeah. That brings up the point around work life balance, because, you know, I have a family of four, four kids it's stressful just in and of itself to have four kids, but then I go to the workforce and the same with women too. So there's also a home dynamic with leadership and biases and roles. Um, what's your take on any data on the how of that shifting persona realities, if you will, um, shapes the data. >>It's interesting because it's, it's something that we even talked about in the session that it's a struggle and, and, um, Bev career from Intel was talking about that. There's a period of time that actually is really tough to keep women in the workforce. And it's that time where you're growing your family, you're growing your career. And oftentimes things sort of struggle. And I, I read something recently around women in STEM careers, over a 10-year period, 42% of women drop out of the workforce in comparison to 17% of men. And so I think there's a lot, a ways to go in terms of being able to set up environments where working life is integrated, because it's, it's not even balanced anymore. It's integration. And how do you set up structures so that people can do that through how they work through how they connect with others. And, and to me, that's a big piece is how do you keep people in the workforce and still contributing in that critical point in time? And, you know, Intel hasn't figured it out. It's a tough challenge, >>Stamina. We're a big fans of women in tech, obviously because we love tech athletes. We'd love to promote people who are rock stars and technology, whether it's developers to leaders. And I also have a daughter, two daughters. And so two questions. One is women in tech, anything you could share that the data can talk to, to either inspire or give some insight and to, for the young women out there that might not have that cultural baggage, that my generation, at least our worse than older than me have from the previous bias. So motivating young daughters out there, and then how you deal with the career advice for existing women. >>So the motivating young women to get into tech, um, Bev shared a really absolutely fascinating statistic that between the ages of 12 and 18, it's incredibly important to have a male support model for young girls to get into STEM careers, that it was absolutely critical for their success. And it's funny because the question came up like, why can't that be a woman too? And what's interesting. And what we find is oftentimes we give men the short shrift when they try and support women, and we don't want to do that. We want to support men supporting women because when that happens, we all win. Um, and so I think that's a big piece of it is starting young and starting with male support as well as female support. So many women who, who cite men as, as he had mental was in that gray, you know, or in their daily life. And it's pretty important that they can feel that they can do that. >>And this goes back down the wiring data that you have the data on how we're were wired. It's okay, guys, to understand that it's not an apples to apples. So to speak, men are from Mars. Women are from beans, whatever that phrase is, but that's really what the data is. >>And being explicit to men to say, we want you to support women instead of having men take a back seat feeling like maybe this isn't my battle to fight. It's, it's really important to then encourage men to speak up to in those, those situations to, to think about sort of women in tech. One of, uh, a really interesting piece of research that I've seen is about team intelligence and what happens on teams and Anita Willy from Carnegie Mellon produced this really fascinating piece of research on the three things that a team needs to be more intelligent. It's not just getting the smartest people in the room with the highest IQ. That's a part of it. You want table stakes, you want to start with smart people, but she found that having women, more women on a team actually improved the team's overall intelligence, the collective intelligence and success of a team. So more women was the first one. The second was there's this ability and women tend to be better at it, but the ability to read someone's thoughts and emotions just by looking at their eyes. So it's called breeding in the mind's eye. So just taking a look and being able to sense behavior, um, and, and what someone's thinking and feeling, and then being able to adjust to that and pivot on that, not just focusing on the task at hand, but the cohesion of a team with that skill made a difference. >>It's like if it's a total team sport, now that's what you're saying in terms of how use sport analogy, but women now you see women's sports is booming. This brings up my, my, your, uh, awesome research that you just did for the folks out there. Stella was leading this information generation study and the diversity of use cases now with tech, which is why we love tech so much. It's not just the geeky programmer, traditional nail role. You mentioned team, you've got UX design. You have, um, real time agile. So you have more of a, whether it's a rowing analogy or whatever sport or music, collaboration, collaboration is key. And there's so many new disciplines. I mean, I'll share data that I have on the cube looking at all the six years and then even women and men, the pattern that's coming up is women love the visualization. It's weird. I don't know if that's just so it's in the data, but like data scientists that render into reporting and visualization, not like just making slides like in the data. Yeah. So, but they're not writing, maybe not Python code. So what do you guys see similar patterns in terms of, uh, information generation, it's sexy to have an iWatch. It's >>Cool. So like a cry from Intel on the panel, she gave a great statistic that actually, uh, it's more it's women that are more likely to make a decision on consumer tech than men. And yet a lot of the focus is about trying to build tech for men, uh, on the, you know, if consumer tech companies want to get this right, they need to start thinking about what are women looking for, uh, because, uh, they're the ones that are out there making these decisions, the majority of those decisions. >>Yeah. I mean, it's an old thing back in the day when I was in co, um, right out of college and doing my first startup was the wife test. Yeah. Everything goes by the wife because you want to have collaborative decision-making and that's kind of been seen as a negative bias or reinforcement bias, but I think what guys mean is like, they want to get their partner involved. Yeah. So how do, how do we change the biases? And you know, where I've talked to a guy who said, the word geek is reinforcing a bias or nerd where like, I use that term all the time, um, with science, is there, I mean, we had the, the lawsuit with Kleiner Perkins around the gender discrimination. She wasn't included. I mean, what's your take on all of this? I mean, how does someone practically take the data and put it into practice? >>I think the big thing is, you know, like I said, acknowledging that it exists, right? It's out there. We've been, I feel like our brains haven't necessarily adapted to the modern workplace and the challenges that we've dealt with because the modern workplace is something that was invented in the 1960s and our brains have evolved over a long time. So being able to handle some of the challenges that we have, especially on how men and women operate differently at the workplace, I think is key, but calling it out and making it okay to acknowledge it, but then counter where it needs to be countered where it's not right. And being explicit and having the conversations I think is the big piece. And that's what struck me with the Kleiner Perkins deal was let's have the conversation it's out there. A lot of times people are reticent to, to have the conversation because it's awkward and I need to be PC. And I'm worried about things. It's the elephant in the room, right. But it actually is. Dialogue is far better than leaving it. >>People are afraid. I mean, guys are afraid. Women are afraid. So it's a negative cycle. If it's not an out in the open, that's what I'm saying. >>And the idea is it's, what can we do collectively better to, to be more positive, to, to frame it more positively, because I think that makes a bigger difference in terms, in terms of talking about, Oh, we're different. How are we the same? How can we work together? What is the, the connection point that you bring, you bring, we all bring different skills and talents to the table. I think it's really taking a look at that and talking about it and calling it out and say, I'm not great at this. You're great at this. Let's, let's work together on what we can do, uh, more effectively, >>Okay. Team sports is great. And the diversity of workforce and tech is an issue. That's awesome. So I'd ask you to kind of a different question for both of you guys. What's the biggest surprise in the data and it could be what reinforced the belief or insight into something new share, uh, a surprise. Um, it could be pleasant or creepy or share it. >>Price to me is intuition. So we always talk about women having intuitions. I've had men say, you know, well, my wife is so intuitive. She kind of, she kinda gets that and I've had that in the workplace as well. And I think the biggest surprise for me was that we can now see, we've now proved the intuition. Intuition is a thing that women have, and it's about this kind of web thinking and connecting the dots. Yeah. So we sort of store these memories deep, deep inside. And then when we see something similar, we then make that connection. We call it intuition, but it's actually something it's a kind of a, you know, super recall if you like, and, and, and replaying that situation. But that I think was the biggest surprise to me, Amy. So I would think that the thing that, that always astonishes me is the workplace environment and how we set up environments sometimes to shoot ourselves in the foot. >>So, so often we'll set up, uh, a competitive environment, whatever it is, let's let's and it's internal competition. Well, it turns out that the way that the brain chemicals work in women is that competition actually froze us into, to stress or threat cycle much more easily than it does to men, but men need it to be able to get to optimal arousal. There's a lot of interesting research from Amy Ernest in, at Yale and, and that piece of how you can manipulate your environment to be more successful together to me is absolutely key. And being able to pull out elements of competition, but also elements of collaboration, you kind of knew it, but the science validates it and you go, this is why we need to make sure there's a balance between the two. So everyone's successful. So to me, that's the aha. I could listen to Amy all day and how we apply it to the workplace. That's the next big step. Yeah. >>Yeah. You guys are awesome. And thanks so much for sharing and I wish we could go long. We're getting the hook here on time, but is there any links and locations websites we can, people can go to to get more information on the studies, the science. So I, a lot of my day curating >>And looking for more research. So peak teams.com/blog is where I do a lot of my writing and suggestions. Um, it's peak teams, P E K T E M s.com. And so I run our blog and kind of put my musings every once in a while up there so that people can see what I'm working on. Um, but they can reach out at any time. And I'm on Twitter at, at peak teams geek. Speaking of geeks, I embraced the geek mentality, right? >>Well, we have, I think geeks comment personally, but, um, final point, I'll give you the last word, Amy, if you could have a magic wand to take the science and change the preferred vision of the future with respect to men and women, you know, working cohesively together, understanding that we're different decoupled in science. Now, what would you want to see for the environment work force, life balance? What would be the magic wand that you would change? >>I think being able to make women more confident by helping reduce bias with everybody. So being more keyed in to those biases that we have in those automatic things we do to shortcut and to be more aware of them and work on them together and not see them as bad, but see them as human. So I think that's my big takeaway is remove, remove more bias. >>Fantastic. Stella Lowe, and Amy Posey here inside the cube. Thanks so much. Congratulations on your great work. Great panel. We'll continue. Of course, we have a special channel on SiliconANGLE's dot TV for women in tech. Go to SiliconANGLE dot DV. We've got a lot of cube alumni. We had another one here today with Amy. Thank you for joining us. This is the cube. We'll be right back day three, bringing it to a close here inside the cube live in Las Vegas. I'm John Forney. We'll be right back after this short break.

>>live from the Frederick P Rose Hall, home of jazz at Lincoln center in New York, New York. It's the queue at IBM Z. Next redefining digital business. Brought to you by headline sponsor. IBM. >>Hey everyone. We are here live in New York city for the IBM Z system. Special presentation of the cube. I'm John furrier, cofounder SiliconANGLE at my coast. Dave Alante co founder Wiki bond.org. Dave, we are here with gathering Corine, vice president of the Z systems technology. Welcome to the cube. Great to have you. >>Thank you. I'm really glad to be here. It's an exciting day for us. >>We had a great conversation last night. I wanted to just get you introduced to the crowd one year overseeing a lot of the technology side of it. You're involved in the announcement, but uh, you're super technical and uh, and, and the speeds and feeds of this thing are out there. It's in the news, it's in the press, but it's not really getting the justice. And we were talking earlier on our intro about how the main frame is back in modernize, but it's not your grandfather's mainframe. Tell us what's different, what's the performance tech involved, why is it different and what should people be aware of? >>Sure. So this machine really is unmatched. We have tremendous scale performance in multiple dimensions that we can talk through. The IO subsystem provides tremendous value security that's unmatched. So many of the features and attributes to the system just cannot be compared to other platforms. And the Z 13 what we're announcing today evolves and improves so many of those attributes. We really designed the system to support transaction growth from mobility, to do analytics in the system, integrated with the data and the transactions that we can drive insights when they really matter and support it. Cloud delivery. >>So there's two, two threads that are out there in the news that we've wanted to pivot on. One is the digital business model, and that's out in the press release is all the IBM marketing and action digital business. We believe as transformers, that's pretty much something that's gonna be transformative. But performance with the cloud has been touted, Hey, basically unlimited performance with cloud. Think of compute as a not a scarce resource anymore. How do you guys see that? Cause you guys are now pushing performance to a whole nother level. Why can't I just get scale out saying or scale out infrastructure, build data centers. What is this fitted with that mindset or is it, >>yeah, so I, there's, there's performance in so many different dimensions and I'll can talk you through a few of them. So at the, at the heart of the technology in this system, we have tremendous value in from the processor up. So starting at the base technology, we build the microprocessor in 22 nanometer technology, eight cores per chip. We've got four layers of cash integrate on this. More cash that can be accessed from these processor cores then can compare to anything else. Tremendous value. Don't have to go out through IO to memory as frequently as you would have to in other environments. We also have an iOS SIS subsystem that has hundreds of additional processing cores that allows you to drive workload fast through that. Um, so I think it's the, it's, it's the, the, the scale of this system that can allow you to do things in a single footprint that you have to do with a variety of distributed environments separately coupled with unique security features, embedded encryption capability on the processor, PCIE attached, tamper resistance, cryptography, compression engines as so many of these technologies that come together to build a system. >>So IBM went to the, went to the, went to the woodshed back and took all the good technology from the back room cobbled together. Cause you guys have done some pretty amazing things in the, what they call proprietary days, been mainframe back in the sixties seventies eighties and client server a lot of innovation. So you guys, is that true? Would that be an accurate statement? You guys kind of cobbled together and engineered this system with the best >>engineered from, from from soup to nuts, from the casters up. We live, we literally have made innovations at almost every level here in the system. Now it's evolved from previous generations and we have tremendous capabilities in the prior ones as well. But you see across almost every dimension we have improved performance scape scalability capability. Um, and we've done that while opening up the platform. So some of the new capabilities that we're discussing today include enterprise Linux. So Linux on the platform run Linux on many platforms. Linux is Linux, but it's even better on the Z 13 because now you have the scalability, the security, the availability behind it and new open support, we're announcing KVM will be supported on this platform later this year we have OpenStack supported, we're developing an ecosystem around this. We have renouncing Postgres, Docker, no JS support on the mainframe. And that's tremendously exciting because now we're really broadening a user base and allowing users to do a lot more with Linux on the main. >>So one of the big themes that we're hearing today is bringing marrying analytics and transaction systems together. You guys are very excited about that. Uh, one of the, even even the New York times article referenced this, people are somewhat confused about this because other people talk about doing it. We go to the Hadoop world, you know, we talked big data, spark in memory databases, SAP doing their stuff with Hannah. What's different about what Z systems are doing? >>That's a great question. So today many users are moving data off of platforms, including the mainframe to do their analytics. Moving back on this ETL process, extract, transform load. It's incredibly expensive, cumbersome copies of that data. You have redundancy, you have security risk, tremendous complexity to manage. And it's totally unnecessary today because you can do that analytics now on the system Z platform, driving tremendous capability insights that can be done within the transaction and integrated where the transactions and the data live. So much more value to do that. And we've built up a portfolio of capabilities and some of them are new. We're an announcing as part of today's event as well that can allow us to do transformation of the data analytics of that data. And it, and it's, it's at every level, right? We have embedded analytics, accelerators in the process or a new engine we call Cindy single instruction. Multiple data allows you to do, uh, a mathematical, uh, vector processing. >>Let's drill down on that. I want to get your particular on this. You have the in process or stuff is compelling to me. I like, I want to drill down on that. Get technical. Right now all the rage is in memory in memory. She's not even on the big data. Spark has got traction for the analytics. DTL thing is a huge problem. I think that's 100% accurate across the board. We hear that all the time. But what's going on in the process server because you guys have advanced not just in memory, it's in processor. What is that architecture, what are the, some of the tech features and why is that different than just saying, Hey, I'm doing a lot of in memory. >>So, so the process or has um, a deeper and richer cash hierarchy, um, than, than we see in other environments. That means we have four layers of cash. Two of those cash layers are embedded within the processor core itself. They're private to the core. The next layer is on the processor chip and it's shared amongst all those cores. And the fourth layer on a herder, right, is on a separate chip. It's huge. It's embedded DRAM technology. It's a tremendously large cash and we've expanded that, which means you don't have to go out to memory nearly as frequently because you, >>you stayed in the yard that stayed in the yard today in memory is state of the art today. You guys have taken it advanced inside the core. What kind of performances that dude, what's the, what's the advantage? >>There's huge performance advantages to that. We see, we see, we can do, uh, analytics. Numbers are something like 17 times faster than comparable solutions. Being able to bring those analytics into the system for insights when you need them, right? To be able to do faster of scoring of transactions, to be able to do faster fraud detection with so many applications. So many industries are looking to be able to bring these insights faster, more co-located with the data and not have to wait the latency associated with moving data off and, and, and doing some sort of analysis on data that's stale. How that's not interesting. We really want to be able to to integrate that where the data and the transactions live and we can now do that on the. >>So in memory obviously is awesome, right? You can go much faster. A best IO is no IO as gene Amdahl would say, but if something goes wrong and you have to flush the memory in reload >>everything, it's problematic. How does IBM address that? So to minimize that problem relative to we hear you hear complaints and other architectures that that that's problematic. How do you solve that problem or have you solved that problem? >>Well, you know, I think it's a combination of, of the cash, the memory and the analytics capabilities, the resiliency of the system. So you worry about machines going down, failures and we've built in security, reliability, redundancy at every level to prevent failures. We have diagnostic capabilities, things like the IBM Z aware solution, right? This is a solution that's been used to monitor the system behavior so that you can identify anomalous behaviors before you have a problem that's been available with cos. now we're extending that to Linux for the first time. We have solutions like disaster recovery, continuous availability solutions like the GDPs, uh, it's now extended to be a virtual appliance for Linux. So I, there's so many features and functions. This system allow you to have a much more robust, capable, >>popular is Linux. Can you quantify that? You guys talk a lot about Linux and can you give us some percentage? >>Linux has been around for 15 years on the mainframe and um, we have a very good user adoption. We're, we're, we're seeing a large fraction of our clients are running Linux either all by itself or in concert with Zoes. >>So double digit workloads. >>Yeah, it's a very, it's a very significant fraction of the myths in the field today. >>God, I don't want to get a personal perspective from you on some things. One, you went, uh, you have an applied physics degree from Yale, master's from an applied physics from Stanford, PhD, applied physics from Stanford and all the congratulations by the way, you're super smart means you, it means you can get to the schools you means you're, you're smart. But the rage is software defined, right? So I want you to tell us from your perspective being in applied physics, the advances in Silicon is really being engineered now. So is it the combination of that software defined? What's your perspective? What should people know about the tech at the physics side of it? Cause you can't change physics know the other day, but Silicon is doing some good stuff. So talk about that, that convergence between the physics, Silicon and software. >>Yeah, that's a, that's a great question. So I think what sets us apart here with the mainframe is our ability to integrate across that stack. So you're right, Silicon Silicon piece of 22 nanometers Silicon, we can all do similar things with it, but when you co optimize what you do with that Silicon with high-performance system design, with innovations at every level, from where operating systems software, you can build an end to end solution that's unmatched. And with an IBM, we, we, we do that. We really have an opportunity to collaborate across the stack. So can we put things in the operating system? It can take advantage of something that's in that hardware and being able to do that gives us a unique opportunity. And we've done that here, right? Whether it's the Cyndi accelerator and having our software capabilities or see Plex optimizes a Java, be able to take advantage of what's in that, uh, in that microprocessor, we see that with new instructions that we offer here that can be taken advantage of compilers that optimize for what's in the technology. So I think it's that, it's that co optimization across the stack. You're right, software as a user, you see the software, you see the solution, you see the capability at the machine. But to get that you need the infrastructure underneath it, you need the capabilities that can be exploited by the software. And that's why that, >>and we're seeing that in dev ops right now with the dev ops movement. You're seeing, I want to abstract away the complexities of infrastructure and have software be more optimized. And here you guys are changing the state of the art in with the in-memory to in processor architecture, but also you're enabling developers and software to work effectively. >>Right? And I think about cloud service delivery, right? You know, and we would love to be able to offer end users it as a service so we can access the mainframe. All of those qualities of service that we know and love about the mainframe without the complexity and can do that. Technologies like Zoes connect and Blumix with system Z mobile first platform, allowing you to connect from systems, engagements, the six systems of Rutgers deploy Z services. So you can, we were trying to help our clients to be able to not be cost centers for their, uh, for their firms but to provide value added services. And that can be done with the capabilities on the main. >>So no, Docker, OpenStack KVM, obviously we talked about Linux. What does that mean from a business standpoint, from the perspective of running applications? Can you sort of walk us through what you expect clients to do or what >>it's, it's, it's all about standardization and really expanding an ecosystem for users on the platform. And we want anybody running Linux anywhere to be able to run it on, run their applications, develop their applications on the mainframe. And to be able to take advantage of the consolidation opportunities driven by the scale the platform and be able to drive unmatched end to end security solutions on this plot. Right? It's, it's a combination of enabling an ecosystem to be able to do what users expect to be able to do. And that ecosystem continues to evolve. It's very rapidly changing. We know we have to respond, but we want to make sure that we are providing the capabilities that developers and users expect on the platform. And I think we've taken a tremendous leap at the Z 13 to be able to do that. >>So obviously Linux opened up. That was the starting point. Right? Um, what do you expect with the sort of new open innovations? Will you pull in more workloads, more applications or, >>I certainly believe we will. And you know, new workloads on the platform. This is, this is a, an evolution for us and we continue to see the opportunity to bring new workloads to the platform. Things, support of, of, of Linux. And the expanding ecosystem there helps us to do that effectively. We see that, whether it's um, the, the, the transaction growth from mobile and being able to say, what does that mean for the mainframe? How can we not just respond to that but take advantage, enable new opportunities there. And I, so I think absolutely Linux will help us to grow workloads to get into new spaces and really continue to modernize the mainframe. >>John and I were talking at the open Paul Moritz at the time, CEO of VMware in 2009. So we are going to build a software mainframe. Um, interesting, very bold statement. Don't, where's he working on pivotal? Do you have a software mainframe? Have you already built it? >>I don't think you can have software that running on something. And so the mainframe is not a piece of hardware. The mainframe's a solution. It's a platform that includes technology, infrastructure, hardware and the software capabilities that run on it. And as I said, I think it's the integration that the co optimization across that really provides value to clients. I don't know how you can have a software solution without some fundamental infrastructure that gives you the qualities of service. That's so much of the inherent security availability. All of that is >>that's a marketing. It didn't, it didn't pan out. The vision was beautiful and putting a great PowerPoint together. he went to pivotal now, but I think what's happening is what you're, what you're talking about is it's distributed mainframe capability. The scale out open source movement has driven the wannabe mainframe market to explode. And so what now you look at Amazon, you can Google look at these, these power data centers. They are mainframes. In essence, they are centralized places. Well, they want to say the cloud is a software mainframe. Software runs on these data centers. So instead of having rack and stack, uh, three x86 processors, you just drop into mainframe or God box as I call it. And you have this monster box that's highly optimized and then you could have clusters of other stuff around it. Your argument is the integration is what, what makes the difference that end. And so Amazon makes their own gear, right? We know that now they don't do open compute. They're making their own gear. So people who want to be Amazon would probably go to some kind of hybrid mainframe. Like they're not making their own. 70 makes sense of that cause Amazon, I mean they purpose built their own boxes. They are building their own point though, right? I mean to the outside of the box. Right. >>The way I see it as is for for mission critical applications where you cannot support any downtime, you want to have a system that's built from the ground up for pure availability for security and we have that right? We have a system that you can prevent failures, right? We have redundancy at so many levels. We have, we have, you know, if a transaction, different model rate, you win when you take money out of your account or when you transfer money more potently into your account, you need to make sure it's there, right? You want to know that with a hundred percent confidence and to do that I would expect you feel more confident running that >>credit card transactions, same game all over again. Mission critical versus non mission critical, I mean internet of things. But what's not mission critical is my follow up question here of things. Some sensors data that's passive. I, if it's running my airplane, ass running your temperature. Oh, you're down for 10 minutes. I mean, yeah, >>there were some times that we would accept, accepts and downs. >>Lumpy. No, it's really about lumpy SLA performing. Amazon gets away with that because the economics are fantastic, right? So you can't be lumpy and bank transaction. What about costs versus, Oh mainframe. So expensive, so expensive. You guys put out some TCO data that suggest it's less expensive. Help us get through that. >>Yeah, so, so I think when we look at total cost of ownership, we're often looking at the savings to administration and the management of the complexity of sprawl. And with the mainframe, because you have such scale and what you can include in it in a single footprint, you can now consolidate so much into this literally very small environment and the cost savings because of the integration capabilities, because of the performance that you can contain within this box, you see end-to-end cost savings for our clients. And in that, that the break even point is not so large. Right. And so you talked about mission critical. If you're doing your mission critical work on your mainframe and you have other things that you need to do that aren't, you don't consider perhaps as mission critical, you have an opportunity to consolidate. You can do that all on the same platform. You're, you're not, you know, we, we can run with tremendous utilization. You can, you want to use these machines for all their work. >>So sorry. So a follow up on that. So the stickiness then AKA lock-in used to be, I got a bunch of COBOL code that won't run anywhere else. He got me, I got to keep buying Mayfair. I was just saying now the stickiness is for the types of workloads that your clients are running. It is cheaper. That's your, >>it's cheaper. And I think it has unmatched capability, availability, security features that you can't find in other solutions. >>And if you had to, in theory you could replicate it, but it would just be so expensive with people. >>In theory, I, okay. But I think some the fundamental technologies and solutions across that stack, who else can do that? Right. Okay. Can integrate solutions in the hardware and all the way up that stack. And, and I, I don't know anyone else, >>tell me what, tell me what, in your opinion, what gets you most excited about this technology platform? I mean, is there a couple things? Just are one thing saying >>that is so game changing. I'm super excited by this. Um, I can't sleep at night. I'm intoxicated technically. I mean, what gets you jazzed up on this? >>Well, I, I'll tell you, it's, today's a really proud day. I have to say being here and being a part of this launch, you know, personally having been a part of the development, been an IBM for 15 years. I spent the last eight years doing hardware development, including building components and key parts of the system. And now to see us bring that to market and with the value that I know we're bringing to clients, it's, it get, I, I get a little choked up. I truly, honestly, I truly, honestly feel really, really proud about what we've done. Um, so in terms of what is most exciting, um, I think the analytics story is incredibly powerful and I think being able to take a bunch of the technologies that we've built up over time, including some of the new capabilities like in database transformation and advanced analytics that we'll be continuing to roll out over the course of this year. I think this can be really transformative and I think we can help our clients to take advantage of that. I think they will see tremendous value to their business. We'll be able to do things that we simply couldn't do with the old model of moving data off and, and having the latency that comes with that. So I'm really excited about that >>nice platform, not just a repackaging of mainframe. Okay, great. So second, final question from me I want to ask you is two perspectives on, um, the environment, the society we live in. So first let's talk it CIO, CEO, what mindset should they be in as this new transformation? The digital businesses upon them and they have the ability to rearchitect now with mainframe and cloud and data centers. What should they be thinking about as someone who has a PhD in applied physics, been working on this killer system? What is the, what's the moonshot for that CIO and, and how should they be thinking about their architecture right now? >>So I think CEO's need to be thinking about what is a good solution for the variety of problems that they have in their shops and not segment those as we've often seen. Um, you have the x86 distributed world and maybe you have a main frame this and that. I begin to think about this more holistically about the set of challenges you need to go address as a business. And what capabilities do you want to bring to bear to solve those problems? I think that when you think about it that way, you get away from good enough solutions. You get away from some of this, um, mindset that you have about this only plays over there. And this only plays over there. And I think you open yourself up for new possibilities that can drive tremendous value to their businesses. And we can think differently about how to use technology, drive efficiency, drive performance, and real value. >>Last night at dinner, we, we all, we all have families and kids. Um, and you know, even there's a lot of talk about software driving the world these days. And it is, software's amazing. It's great. Best time to be a software developer. Since I've been programming since I was in college and, and it's so much so awesome with open source. However, there's a real culture hacker culture now with hardware. So, um, what's your advice to young people out there? You know, middle schoolers or parents that have kids in middle school for women, young girls, young boys with this. Now you've got drones, you've got hackers, raspberry pie, these kinds of things are going on. You've got kind of this Homebrew computer mindset. These young kids, they don't even know what Apple butter >>I would say it is, it is so exciting. Uh, the, the, the engineering world, the technology challenges, hardware or software. And I wouldn't even differentiate. I think we have a tremendous opportunity to do new and exciting things here. Um, I would say to young girls and boys don't opt out too soon. That means take your classes, studying math and science in school and keep it as an option because you might find when you're in high school or college or beyond, that you really want to do this cool stuff. And if you haven't taken the basics, you, you find yourselves not in a position to be able to, to, to, to team and build great things and deliver new products and provide a lot of value. So I think it's a really exciting area. And I've been >>it's a research as I'm seeing like this. I mean I went to the 30th anniversary for apples Macintosh in Cupertino last year and that whole Homebrew computer club was a hacker culture. You know, the misfits, if you will. And a coder camp. >>I think that think there are people who grow up in, always know that they want to be the engineer, the software developer. And that's great. And then there are others of us, and I'll put myself in that in that space that you may have a lot of different interests. And what has drawn me to engineering and to the, the work that we do here is has been the, the ability to solve tough problems, to, to do something you've never, no one has ever done before, to team with fantastically smart people and to build new technology. I think it's an incredibly exciting space and I encourage people to think about that opportunity >>from a person who has a PhD in applied physics. That's awesome. Thank Kevin. Thanks for joining us here inside the queue, VP of systems. Again, great time to be a software build. Great time to be making hardware and solutions. This is the cue. We're excited to be live in New York city. I'm John furry with Dave Alante. We'll be right back. This rep break.