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Search Results for Women 2017:

Edaena Salinas, The Women In Tech Show & Microsoft | KubeCon 2017


 

>> Narrator: Live from Austin, Texas, It's theCUBE, covering KubeCon and CloudNativeCon 2017. Brought to you by Red Hat, the Linux Foundation, and theCUBE's ecosystem partners. >> Welcome back and we're live here in Austin, Texas. theCUBE's exclusive coverage of CloudNativeCon and KubeCon, which stands for Kubernetes Conference, the not Cube, C-U-B-E, that's us. I'm John Furrier here with Matt Broberg, co-host in here for Stu Miniman, podcaster himself And we also have a special podcaster here on theCUBE, Edaena Salinas, who's the host of The Women in Tech Show @techwomenshow on Twitter, also a software engineer at Microsoft. Welcome to theCUBE, thanks for joining us. >> Thank you for having me. >> This is kind of like a podcast, we're like live though, we're streaming. >> Oh, okay. >> Love your sweater, that's a binary tree holiday tree. >> Binary Christmas tree. >> Binary Christmas tree. >> So perfect. >> I'm going to do a quick sort quickly, no I'm only kidding. So question for you, you've got a great program, you've got a desk over there, you're doing some interviews here, great to see you here doing The Women in Tech. We've done a lot of women in tech interviews on theCUBE, love to showcase women programming, women developers, women in stem, great that you do it so congratulations. So tell us what's the vibe like, are you people excited to do podcasting, is it all women, do you interview men, so tell us a little bit about the show. >> That's a good question. The motivation of the show is to have technical women talk about what they're working on, the products they're building or business strategy, instead of what does it feel like to be a woman in tech, or the only woman in the meeting room. Those conversations are valid, but I think we've heard a lot of those, and the community can benefit if they're just listening to what they're working on. >> It's great to get the education out there. So I have a question for you, I'd love to ask this. But I never really had a, talk about software engineering on theCUBE, what's the style difference in coding, do that's talked about, are women, do they code differently? Is it, probably neater, cleaner, is there biases in coding in that come into, because. >> I'm not aware of (laughs) difference like that, but, you could find that out if you run a script on the GitHub projects but, I don't think it affects. >> People don't, they don't talk about that, do they? >> They don't talk about that, and I certainly haven't experienced anything like that, and I learn from my coworkers and they learn from me. >> Now what are you working on at Microsoft? >> I am at Microsoft Research earlier this year, so what I work on is adding AI features to our existing products, like Outlook and Dynamics, so yeah. >> And I want to switch gears and talk about the podcast a little bit. So, I'm curious what was your inspiration to start it, and had you done podcasts before or did it just feel right, like this is the time to do something? >> I hadn't done a podcast before, but I had listened to a lot of shows. And the initial motivation of this is, at Microsoft where I work, they have this Meet Our Leader series, where they bring men and women in a leadership position. The audience is mostly women, and I was tuning in there by Skype, and there's 200 people listening to them plus people in the room, and they're asking questions about what's our business strategy or technical questions, so I'm like, women want to know about these things, and then in addition to that I noticed some women, technical women, they list on their website, I love giving talks, just not the diversity talk or the lady panel, I've given it several times, I just want to talk about cloud computing or the things that I work on. And then I looked if someone was doing this already, a show like this. I didn't find it, so I started it, and it helped that I listened to other shows. >> I mean I find when I talk to a lot of my women friends that are technical, sometimes CTOs and higher, and even down in programming, they don't want to, they just want to talk about what they're working on. They don't want to be the, that woman in tech on the panel, I've had a friend said to me privately over the weekend at a party, I don't, am sick and tired of being called and them saying, I need a woman on a panel. >> Yeah. >> I mean, it's kind of like a backlash, but they also feel obligated to do it. >> Yeah. There's kind of a new culture developing. Talk about that, and what that kind of conversation's like in your world. >> Well what I've heard, for example Sheryl Sandberg I think has said, there, we will reach a point someday where we won't be called a female CEO or a woman engineer, it would just be engineer. So, that's our goal, to just lose that label at someday, right now, the show has the label because I'm raising awareness of having them talk about technical topics. As more people hear about them, it's just going to be natural and normal like, sure I learned from Nicole about Kubernetes, and then men are also listening to the show, which I think benefits a lot the community. >> I have two daughters, one's in high school, one's in college, one's at Cal, and they're techies, they're science, they like science, not coding yet. Their mom doesn't want them to be like me and code, but, so they're, but they're-- >> Just give them the choice >> I said hey, do you do Cube interviews, it's also an option. But in their culture, when I ask them about this, they're like, we don't think about it. So there's a, at their level, they're all in school together and it's interesting, I think a time is coming now where the awareness is putting the old guard pressures away, there's still some bad behavior, no doubt about it, I see it everyday and it's being called out, thank god, but now it's just like, you're a person in tech. >> Exactly. >> So I think respect is the number one, respect for the individual is something that we always preach, independent of who the person is, male, female, whatever. >> Yeah, exactly, and we will reach that point soon, I hope so, where we lose the label. >> So you're 77 episodes in, I'm also a listener, I learned a ton from it, you have brilliant people on every week. I really admire you for that because I know how hard it is to produce a podcast. What are some of the things you didn't know before starting a podcast that like, oh wow, that takes more energy than it looked like at the time. >> That's a good point, yes. The very first few interviews that I did, I didn't take into account how the guest would respond. So I prepared the questions in advance, and then I would think, this is going to be a two-minute answer, but the person just ended up saying yes, no, or sure, that's a big problem, and I was counting on it to be more, so I needed to prepare in that aspect and what helps is just, if they've already given talks, just look them up on YouTube or find all their interviews they've done, just to get a sense of how they talk. There's also people that tend to give super long answers, and you need to prepare for that, how you're going to handle it. >> I noticed you had someone from Bitnami came by recently, was that Erica? >> Erica Brescia came on the show a few months ago, the COO of Bitnami, and in that episode we focused a lot on entrepreneurship, she came out of YC, so sort of building Bitnami to where it is, and today I interviewed the engineering manager of Bitnami, and she talked about Kube apps and all this security aspects. >> What are some of the innovations you're seeing in your interviews? Can you highlight some examples recently that jump out at you, that are, lot of innovation coming from these ladies, what are some of things that they've done? Shine the light on some of the awesome highlights from your guests. >> One of my favorite ones is Rachel Thomas, she works at Fast.ai, what she works on is bias in machine learning. Machine learning is about learning from your data, but I've heard, this woman at a conference bring it up, like, if I'm a minority, I'm a minority in the data. So you need to take that into account. So there's a lot of people working in the space. That was a really cool project I think. >> Data driven analysis. >> Yeah, but sort of, considering that bias that can be in that data, and make sure your data is better. So for example, it's a known fact that there's a lot of men in the technology field, so if you're going to get job recommendations, if a person like me, Mexican, I studied computer science but if I'm a minority in the dataset, maybe I'm not going to get the recommendation. I'm not saying that how it works, but that could potentially be an issue. >> It's a statistical fact. >> Yeah, but if you don't take that into account in your system, maybe women are not getting job recommendations, of openings. >> That's a good point. >> So, it brings up-- >> That's a really powerful observation, right, and I was curious, as a software engineer, software engineering is your craft and podcasting is your hobby, how has podcasting influenced your software engineering skills? Because ultimately that's the path you're going down career-wise. >> Well a big part of software engineering is about talking to your team and going to meetings, talking about solutions. Podcasting has help me a lot, improve my soft skills. For a period of time I was editing my own shows. One thing that I noticed is when I was talking to my guests, I'm listening to my recording, when I would say an idea, I would tend to lower my voice. So I noticed that, and then I said to myself, I'm probably doing this in the meetings at work, and then, I work-- >> What an amazing insight, right, like now you're seeing how you're presenting yourself in front of other people in technical ways and then you get to bring that into your work. >> Yeah, whenever I would say an idea I would just be like, what happens if we do this instead? That was like I have to-- >> That's a great example of self-awareness, right, I mean, everyone should do that, listen to their, look at their actions. >> Yes, so it helps with the soft skills. And it also helps if you're working in a certain area of software engineering, and you want to find out more about it, you can decide to do more shows on that and just share that with the community that women are working on this. >> It's great to see you have some Cube alumni like Erica on, we interviewed her on theCUBE at Google Next a few years ago. Share some coordinates, when does the show go out, when do you record it, does it ship on a regular cadence, share a little information. >> The show is released weekly. I publish Monday evenings, but I share it on social media on Tuesday mornings, so if you're subscribed, you would get it Monday evenings. >> Good for the week, running, on the bike, in the car. >> It's 30 minutes. >> Any video podcasting coming? >> I don't have any video, no. >> Lot more editing required, trust me on that one. Cool. What's the most exciting thing that you're working on right now? You have the podcast, which is a super cool hobby, great to get those voices out there, so congratulations. But at work, what are you working on? >> Yes, well like I mentioned earlier, I work on a team it's a team under Microsoft Research, a lot of it, we don't know what people working on there, but, my team works closely with product teams. So we're adding AI features to Outlook and Dynamics CRM. Just to increase the productivity aspect, in this sense. >> So you're bringing applied R and D to the product groups, mostly AI? >> Yes, yeah. >> What's the coolest thing in AI that you like? >> Oh wow, well I really like recommendation systems and things like that. >> All right, well thanks for coming on theCUBE, really appreciate it, The Tech Women podcast here, they got a booth over there. Doing great interviews, here's at theCUBE we're doing our share. Two days, the second day of live wall to wall coverage. Be right back with more live coverage, in Austin Texas. You here the music, this is the big D, Texas here in Austin Texas. More live coverage, that's Dallas, we're in Austin. Be right back with more live coverage after this short break. (futuristic music)

Published Date : Dec 7 2017

SUMMARY :

Brought to you by Red Hat, the Linux Foundation, Welcome to theCUBE, thanks for joining us. This is kind of like a podcast, we're like live though, to do podcasting, is it all women, do you interview men, The motivation of the show is to have It's great to get the education out there. on the GitHub projects but, I don't think it affects. and I learn from my coworkers and they learn from me. I am at Microsoft Research earlier this year, like this is the time to do something? and it helped that I listened to other shows. I've had a friend said to me privately over the weekend but they also feel obligated to do it. Talk about that, and what that kind of conversation's So, that's our goal, to just lose that label at someday, I have two daughters, one's in high school, I said hey, do you do Cube interviews, for the individual is something that we always preach, I hope so, where we lose the label. What are some of the things you didn't know I didn't take into account how the guest would respond. the COO of Bitnami, and in that episode we focused a lot What are some of the innovations you're seeing So you need to take that into account. in the technology field, so if you're going to get job Yeah, but if you don't take that into account and podcasting is your hobby, how has podcasting So I noticed that, and then I said to myself, to bring that into your work. everyone should do that, listen to their, and just share that with the community It's great to see you have some Cube alumni on Tuesday mornings, so if you're subscribed, great to get those voices out there, so congratulations. Just to increase the productivity aspect, in this sense. and things like that. You here the music, this is the big D, Texas

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Vipul Nagrath, ADP, Grace Hopper Celebration of Women of Computing 2017


 

>> Announcer: Live from Orlando, Florida it's theCUBE, covering Grace Hopper's Celebration of Women in Computing, brought to you by SiliconANGLE Media. >> Welcome back to theCUBE's coverage of the Grace Hopper Conference, here in Orlando, Florida. I'm your host, Rebecca Knight. We're joined by Vipul Nagrath. He is the Global CIO at ADP, a provider of human resources management software in New York. Welcome, Vipul. >> Thank you. >> It's great to have you on the show. So, before the cameras were rolling, you were talking about how this is your first ever Grace Hopper. How do you find things? >> I think this is exciting. Just the sheer numbers: 18,000 attendees, all the various different companies that are represented over here, the talent. I'm here with a sizeable team, there's about 30 of us. Many of my colleagues have been walking the floor and they've been just thoroughly impressed with the talent that they're meeting and the people that they're talking to. We're here actively recruiting. We've actually been doing on-site interviews. So, we're looking for top talent and if we can find it right here at the show, we'll do it. >> So, there are a lot of tech conferences that you attend, but what is it about Grace Hopper in particular? >> Well, this one specifically, one of our initiatives is around diversity and inclusion. So, what better place to come than Grace Hopper if you want to talk about diversity and inclusion? In addition to that, is we were talking earlier, right? The marketplace that engineering and tech and computer science is going to go into, the need is actually only increasing. Everything is run by software today or very shortly will be. In the end, every company's becoming a software company and offering some other services with it. We're all headed that way. Yet, the talent pool's actually getting tighter and smaller, yet more jobs are going to be created in that industry. So, I think it's a phenomenal and wonderful opportunity, and specifically from a Grace Hopper perspective and the Anita Borg perspective, is get more women involved in this. The pie is going to get bigger, and I think women have an opportunity to gain more of that share of that pie. >> So, is ADP doing anything to actively engage more women earlier in their career trajectories to get them interested in this area? >> There are a number of multiple- Sorry, there's a multiple set of initiatives that we have. In fact, I was joined here at this conference with our Chief Diversity Officer. She's also responsible for corporate social responsibility. So, diversity and inclusion is really huge for her, not just for us at ADP, but she actually has a larger message for the entire industry. So, she's pushing that agenda. So, there are actually many different things that we're working on. >> And as a human resources company that message can get through. >> Exactly. >> So, talk to me. We always hear about the business case for diversity and inclusion. How do you view it? >> How do I view it, is I start with, again, top talent, and then it's thought diversity. When you bring multiple disciplines in together, bring people with multiple backgrounds in together, even a different point of view, you realize, or I think you open up and realize that you might have had some blinders on some things. Now you start really getting rid of those blinders. Instead of them being blinders, they turn into opportunities. I think if you have too many people thinking exactly the same way, doing exactly the same thing, you fall into a not-so-good method, right? You fall into a not-so-good idea of just really channeling the same idea over and over and over again. >> The groupthink that is a big problem in so many companies. So, how do diverse teams work together in your experience? You talked about seeing wider perspectives and different kinds of ideas and insights that you wouldn't necessarily get if it's just a bunch of similar people from similar backgrounds, similar races, all one gender, sitting in a room together. How do these teams work together in your experience? >> Well, what I believe in is you got to put these teams together and you got to empower them. Absolutely, there's a stated goal. There is an outcome. There is a result we have to achieve. Give 'em the outcome, give 'em the goal, give 'em a loose framework, and then give 'em guiding principles. Then, after that: team, go ahead. You're empowered to do the right thing. But, these goals will be aggressive, right? We may want to make something two orders of magnitude faster. That's no small task. We may want to expand our capabilities so that we can handle six times the load that we handled today. That's no small task. So, they're very large goals to achieve, but they just have to go out and do them. If you leave that creativity to the team, and you let everyone bring in what their different viewpoints, some that have expertise today, and some that don't necessarily have expertise in it but they're really good programmers or they're really good software developers. So, they can learn from those folks that have the expertise, then develop a new solution that's more powerful than the one that exists today. >> What are some of the most exciting things you're working on at ADP right now? >> Well, me personally, we're going through a huge transformation in my group within ADP. That transformation is really just implementing more of what I just talked about, is these small, nimble teams that are multidisciplinary, and they're given, again, guiding principles and goals, and they go out and be creative and be innovative, and figure out how to do this. >> So, what your customers expect on the pipeline though, in terms of products coming out of ADP, and helping them manage their human capital? >> Sure, well actually, we have a lot of exciting, new, and innovative products coming out of our company, which in the coming months, in the coming years, will be released and put into production. But, basically, they should expect a better way to work. 'Cause that is our job. We're really out there to make work better. >> Rebecca: And more inclusive, too, and more, okay. >> All those things actually just go into being and making work better. Inclusion is in there, diversity is in there, creativity is in there, innovation is in there, stability is in there. But, all of that makes work better. >> Is there more pressure on a company like ADP to walk the walk? Because, you are a human capital management company. That is your bread and butter. >> I believe there is, sure. Just naturally, yes, there is. >> So, what is your advice to companies out there? I know you said your Chief Diversity Officer had a wider message to companies about the importance of diversity and inclusive teams. What would you say from your perspective as CIO? >> From my perspective, again, I do believe that diversity, that inclusion, makes for a more powerful team, makes for a wider understanding of what we're actually trying to do. So, I would just encourage others to do that, too, and not be very narrow-minded. >> Great. Well, Vipul, it has been so much fun talking to you. Thanks for coming on theCUBE. >> Thank you. >> We will have more from the Orange County Convention Center, Grace Hopper, just after this. (light, electronic music)

Published Date : Oct 6 2017

SUMMARY :

brought to you by SiliconANGLE Media. He is the Global CIO at ADP, So, before the cameras were rolling, you were talking about and the people that they're talking to. and the Anita Borg perspective, So, she's pushing that agenda. that message can get through. So, talk to me. that you might have had some blinders on some things. that you wouldn't necessarily get if it's just and you let everyone bring in what their different and figure out how to do this. We're really out there to make work better. But, all of that makes work better. Because, you are a human capital management company. I believe there is, sure. I know you said your Chief Diversity Officer had and not be very narrow-minded. Well, Vipul, it has been so much fun talking to you. the Orange County Convention Center, Grace Hopper,

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Jigyasa Grover, Facebook Scholar, Grace Hopper Celebration of Women 2017


 

>> Announcer: Live from Orlando, Florida, it's the Cube, covering Grace Hopper's celebration of women in computing, brought to you by Silicon Angle Media. Welcome back to the cube's coverage of the Grace Hopper Conference here at the Orange County Convention Center. I'm your host Rebecca Knight. We're joined by Jigyasa Grover. She is a new graduate of Delhi technological university and a Facebook scholar here at Grace Hopper, thanks so much for joining us Jigyasa. >> Thank you so much. >> And you're actually a Cube alum, you were honored at the Red Hat summit in Boston this spring as a woman in open source, academic awards, so you're back, we're glad to have you. >> Yeah it's nice to be back here, I'm really enjoying the conference so far. >> Tell our viewers a little bit about what it is to be a Facebook scholar here. >> Facebook is a very nice company which gives scholarships to around 50 graduate women all across the world to come and attend the much acclaimed Grace Hopper Conference, make new friends, network with new people and most importantly, find jobs in the technological sphere. >> Do you apply for it, how do they find you? >> They publicize the scholarship a lot, obviously on Facebook and all of the social media networks, the application procedure is very simple, you just have to write an essay question, it's about who you are and what you want to achieve further in life and what have you done in the technological sphere so far, what would you like to do further, give your resume and school name, that's pretty much it. >> You have been, this is your first ever Grace Hopper. What has been the experience? >> It has been overwhelming I would say, seeing 18,000 plus women all in the same working in technology, it's like meeting your sister because you can feel how they feel and for the expo hall, you have loads of opportunities, you can make friends, I have seen so many people find their first jobs and internships. I would say come on, get your resume and there are lots of interviews going on, I'm sure you'll not only find software engineering jobs, but you end up finding jobs in product management, design, research, and there's a wide spectrum of companies out there. >> You're talking about the sisterhood that you feel here at Grace Hopper, but at the same time, the future, it's a little uncertain for women in tech just because of the headlines that we read about the sexism, the biases, the chauvinism in the industry, how do you feel as a woman on the verge of starting your career. >> I would rather say stay strong and do not let negativity affect you and what you are doing. It's more about working in sync with the other gender and in proportion, the numbers should be in proportion, there shouldn't be any gender gap. Just do your best and don't let the negativity affect you. >> How are you going to single handedly change things? >> Obviously no one can do this, no one can single handedly change the world, that's true, but doing my part, I'm just going to stay strong, work lots of open source and work with companies and hopefully my work will add contribution to the social upliftment of the world. >> What's next for you Jigyasa, you've already won a big award from Red Hat, you're a Facebook scholar. >> Next, I'm still finding my calling and I'm exploring all kind of works that will be with research, with open source contributions and of course traveling, that's my love. >> Wonderful, thank you so much for being on the Cube again, it's always fun talking to you. >> Yeah nice to meet you as well, have a nice day. >> We will have more from the Grace Hopper Conference in Orlando, Florida just after this. (techno music)

Published Date : Oct 6 2017

SUMMARY :

to you by Silicon Angle Media. you were honored at the Red Hat summit in Boston I'm really enjoying the conference so far. about what it is to be a Facebook scholar here. and most importantly, find jobs in the technological sphere. in the technological sphere so far, what would you like What has been the experience? and for the expo hall, you have loads of opportunities, in the industry, how do you feel and in proportion, the numbers should be in proportion, no one can single handedly change the world, that's true, What's next for you Jigyasa, you've already won and I'm exploring all kind of works that will be on the Cube again, it's always fun talking to you. in Orlando, Florida just after this.

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Rachel Faber Tobac, Course Hero, Grace Hopper Celebration of Women in Computing 2017


 

>> Announcer: Live from Orlando, Florida. It's the CUBE. Covering Grace Hopper Celebration of Women in Computing. Brought to you by Silicon Angle Media. >> Welcome back everybody. Jeff Frick here with the Cube. We are winding down day three of the Grace Hopper Celebration of Women in Computing in Orlando. It's 18,000, mainly women, a couple of us men hangin' out. It's been a phenomenal event again. It always amazes me to run into first timers that have never been to the Grace Hopper event. It's a must do if you're in this business and I strongly encourage you to sign up quickly 'cause I think it sells out in about 15 minutes, like a good rock concert. But we're excited to have our next guest. She's Rachel Faber Tobac, UX Research at Course Hero. Rachel, great to see you. >> Thank you so much for having me on. >> Absolutely. So, Course Hero. Give people kind of an overview of what Course Hero is all about. >> Yup. So we are an online learning platform and we help about 200 million students and educators master their classes every year. So we have all the notes, >> 200 million. >> Yes, 200 million! We have all the notes, study guides, resources, anything a student would need to succeed in their classes. And then anything an educator would need to prepare for their classes or connect with their students. >> And what ages of students? What kind of grades? >> They're usually in college, but sometimes we help high schoolers, like AP students. >> Okay. >> Yeah. >> But that's not why you're here. You want to talk about hacking. So you are, what you call a "white hat hacker". >> White hat. >> So for people that aren't familiar with the white hat, >> Yeah. >> We all know about the black hat conference. What is a white hat hacker. >> So a "white hat hacker" is somebody >> Sounds hard to say three times fast. >> I know, it's a tongue twister. A white hat hacker is somebody who is a hacker, but they're doing it to help people. They're trying to make sure that information is kept safer rather than kind of letting it all out on the internet. >> Right, right. Like the old secret shoppers that we used to have back in the pre-internet days. >> Exactly. Exactly. >> So how did you get into that? >> It's a very non-linear story. Are you ready for it? >> Yeah. >> So I started my career as a special education teacher. And I was working with students with special needs. And I wanted to help more people. So, I ended up joining Course Hero. And I was able to help more people at scale, which was awesome. But I was interested in kind of more of the technical side, but I wasn't technical. So my husband went to Defcon. 'cause he's a cyber security researcher. And he calls me at Defcon about three years ago, and he's like, Rach, you have to get over here. I'm like, I'm not really technical. It's all going to go over my head. Why would I come? He's like, you know how you always call companies to try and get our bills lowered? Like calling Comcast. Well they have this competition where they put people in a glass booth and they try and have them do that, but it's hacking companies. You have to get over here and try it. So I bought a ticket to Vegas that night and I ended up doing the white hat hacker competition called The Social Engineering Capture the Flag and I ended up winning second, twice in a row as a newb. So, insane. >> So you're hacking, if I get this right, not via kind of hardcore command line assault. You're using other tools. So like, what are some of the tools that are vulnerabilities that people would never think about. >> So the biggest tool that I use is actually Instagram, which is really scary. 60% of the information that I need to hack a company, I find on Instagram via geolocation. So people are taking pictures of their computers, their work stations. I can get their browser, their version information and then I can help infiltrate that company by calling them over the phone. It's called vishing. So I'll call them and try and get them to go to a malicious link over the phone and if I can do that, I can own their company, by kind of presenting as an insider and getting in that way. (chuckling) It's terrifying. >> So we know phishing right? I keep wanting to get the million dollars from the guy in Africa that keeps offering it to me. >> (snickers) Right. >> I don't whether to bite on that or. >> Don't click the link. >> Don't click the link. >> No. >> But that interesting. So people taking selfies in the office and you can just get a piece of the browser data and the background of that information. >> Yep. >> And that gives you what you need to do. >> Yeah, so I'll find a phone number from somebody. Maybe they take a picture of their business card, right? I'll call that number. Test it to see if it works. And then if it does, I'll call them in that glass booth in front of 400 people and attempt to get them to go to malicious links over the phone to own their company or I can try and get more information about their work station, so we could, quote unquote, tailor an exploit for their software. >> Right. Right. >> We're not actually doing this, right? We're white hat hackers. >> Right. >> If we were the bad guys. >> You'd try to expose the vulnerability. >> Right. The risk. >> And what is your best ruse to get 'em to. Who are you representing yourself as? >> Yeah, so. The representation thing is called pre-texting. It's who you're pretending to be. If you've ever watched like, Catch Me If You Can. >> Right. Right. >> With Frank Abagnale Jr. So for me, the thing that works the best are low status pretext. So as a woman, I would kind of use what we understand about society to kind of exploit that. So you know, right now if I'm a woman and I call you and I'm like, I don't know how to trouble shoot your website. I'm so confused. I have to give a talk, it's in five minutes. Can you just try my link and see if it works on your end? (chuckling) >> You know? Right? You know, you believe that. >> That's brutal. >> Because there's things about our society that help you understand and believe what I'm trying to say. >> Right, right. >> Right? >> That's crazy and so. >> Yeah. >> Do you get, do you make money white hacking for companies? >> So. >> Do they pay you to do this or? Or is it like, part of the service or? >> It didn't start that way. >> Right. >> I started off just doing the Social Engineering Capture the Flag, the SECTF at Defcon. And I've done that two years in a row, but recently, my husband, Evan and I, co-founded a company, Social Proof Security. So we work with companies to train them about how social media can impact them from a social engineering risk perspective. >> Right. >> And so we can come in and help them and train them and understand, you know, via a webinar, 10 minute talk or we can do a deep dive and have them actually step into the shoes of a hacker and try it out themselves. >> Well I just thought the only danger was they know I'm here so they're going to go steal my bike out of my house, 'cause that's on the West Coast. I'm just curious and you may not have a perspective. >> Yeah. >> 'Cause you have niche that you execute, but between say, you know kind of what you're doing, social engineering. >> Yeah. >> You know, front door. >> God, on the telephone. Versus kind of more traditional phishing, you know, please click here. Million dollars if you'll click here versus, you know, what I would think was more hardcore command line. People are really goin' in. I mean do you have any sense for what kind of the distribution of that is, in terms of what people are going after? >> Right, we don't know exactly because usually that information's pretty confidential, >> Sure. when a hack happens. But we guess that about 90% of infiltrations start with either a phishing email or a vishing call. So they're trying to gain information so they can tailor their exploits for your specific machine. And then they'll go in and they'll do that like actual, you know, >> Right. >> technical hacking. >> Right. >> But, I mean, if I'm vishing you right and I'm talking to you over the phone and I get you to go to a malicious link, I can just kind of bypass every security protocol you've set up. I don't even a technical hacker, right? I just got into your computer because. >> 'Cause you're in 'Cause I'm in now, yup. >> I had the other kind of low profile way and I used to hear is, you know, you go after the person that's doin' the company picnic. You know Wordpress site. >> Yes. >> That's not thinking that that's an entry point in. You know, kind of these less obvious access points. >> Right. That's something that I talk about a lot actually is sometimes we go after mundane information. Something like, what pest service provider you use? Or what janitorial service you use? We're not even going to look for like, software on your machine. We might start with a softer target. So if I know what pest extermination provider you use, I can look them up on LinkedIn. See if they've tagged themselves in pictures in your office and now I can understand how do they work with you, what do their visitor badges look like. And then emulate all of that for an onsite attack. Something like, you know, really soft, right? >> So you're sitting in the key note, right? >> Yeah. >> Fei-Fei Li is talking about computer visualization learning. >> Right. >> And you know, Google running kagillions of pictures through an AI tool to be able to recognize the puppy from the blueberry muffin. >> Right. >> Um, I mean, that just represents ridiculous exploitation opportunity at scale. Even you know, >> Yeah. >> You kind of hackin' around the Instagram account, can't even begin to touch, as you said, your other thing. >> Right. >> You did and then you did it at scale. Now the same opportunity here. Both for bad and for good. >> I'm sure AI is going to impact social engineering pretty extremely in the future here. Hopefully they're protecting that data. >> Okay so, give a little plug so they'll look you up and get some more information. But what are just some of the really easy, basic steps that you find people just miss, that should just be, they should not be missing. From these basic things. >> The first thing is that if they want to take a picture at work, like a #TBT, right? It's their third year anniversary at their company. >> Right. Right. >> Step away from your work station. You don't need to take that picture in front of your computer. Because if you do, I'm going to see that little bottom line at the bottom and I'm going to see exactly the browser version, OS and everything like that. Now I'm able to exploit you with that information. So step away when you take your pictures. And if you do happen to take a picture on your computer. I know you're looking at computer nervously. >> I know, I'm like, don't turn my computer on to the cameras. >> Don't look at it! >> You're scarin' me Rachel. >> If you do take a picture of that. Then you don't want let someone authenticate with that information. So let's say I'm calling you and I'm like, hey, I'm with Google Chrome. I know that you use Google Chrome for your service provider. Has your network been slow recently? Everyone's network's been slow recently, right? >> Right. Right. >> So of course you're going to say yes. Don't let someone authenticate with that info. Think to yourself. Oh wait, I posted a picture of my work station recently. I'm not going to let them authenticate and I'm going to hang up. >> Interesting. All right Rachel. Well, I think the opportunity in learning is one thing. The opportunity in this other field is infinite. >> Yeah. >> So thanks for sharing a couple of tips. >> Yes. >> And um. >> Thank you for having me. >> Hopefully we'll keep you on the good side. We won't let you go to the dark side. >> I won't. I promise. >> All right. >> Rachel Faber Tobac and I'm Jeff Frick. You're watchin the Cube from Grace Hopper Celebration Women in Computing. Thanks for watching. (techno music)

Published Date : Oct 6 2017

SUMMARY :

Brought to you by Silicon Angle Media. and I strongly encourage you to sign up quickly Give people kind of an overview of what Course Hero So we have all the notes, to prepare for their classes or connect with their students. but sometimes we help high schoolers, So you are, We all know about the black hat conference. but they're doing it to help people. Like the old secret shoppers that we used to have Exactly. Are you ready for it? and he's like, Rach, you have to get over here. So like, what are some of the tools that 60% of the information that I need to hack a company, from the guy in Africa that keeps offering it to me. and you can just get a piece of the browser data in front of 400 people and attempt to get them Right. We're white hat hackers. Right. Who are you representing yourself as? It's who you're pretending to be. Right. So you know, You know, you believe that. that help you understand and believe what I'm trying to say. So we work with companies to train them and understand, you know, via a webinar, 10 minute talk I'm just curious and you may not have a perspective. but between say, you know kind of what you're doing, I mean do you have any sense like actual, you know, and I'm talking to you over the phone 'Cause I'm in now, yup. you know, you go after the person You know, kind of these less obvious access points. So if I know what pest extermination provider you use, Fei-Fei Li is talking And you know, Google running kagillions of pictures Even you know, can't even begin to touch, as you said, You did and then you did it at scale. I'm sure AI is going to impact social engineering basic steps that you find people just miss, to take a picture at work, Right. So step away when you take your pictures. I know, I'm like, I know that you use Google Chrome for your service provider. Right. and I'm going to hang up. The opportunity in this other field is infinite. We won't let you go to the dark side. I won't. Rachel Faber Tobac and I'm Jeff Frick.

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Joanna Parke, ThoughtWorks, Grace Hopper Celebration of Women in Computing 2017


 

>> Announcer: Live from Orlando, Florida, it's theCUBE, covering Grace Hopper Celebration of Women in Computing, brought to you by SiliconANGLE Media. (light, electronic music) >> Welcome back to theCUBE's coverage of the Grace Hopper Conference here in Orlando, Florida. I'm your host, Rebecca Knight. We're joined by Joanna Parke. She is the Group Managing Director, North America, at ThoughtWorks based in Chicago. Thanks so much for joining us, Joanna. >> Thank you, it's a pleasure to be here. >> Your company is being honored for the second year in a row as a top company for women technologists by the Anita Borg Institute. Tell our viewers what that means. >> Yeah, we're incredibly proud and super humble to be recognized again for the second year in a row. Our journey towards diversity and inclusivity really began about eight or nine years ago. It started with the top leadership of the company saying that this is a crisis in our industry, and we need to take a stand and we need to do something about it. So, it's been a long journey. It's not something that we started a couple of years ago, so there's been a lot of work by many people over the years to get us to where we are today, and we still feel that we have a long way to go. There's still a lot to do. >> So, being recognized as a top company for women technologists, it obviously means there are many women who work there. But, what else can a woman technologist looking for a job expect at ThoughtWorks? >> So, we think about, not just the aspects of diversity, which is what is the make up of your work for us look like, but also put equal if not more importance on inclusivity. So, you can go out and you can make all sorts of efforts to hire women or minorities into your company, but if you don't have a culture and an environment in which they feel welcome and they feel like they can succeed and they can bring themselves to work, then that success won't be very lasting. So, we've focused not only on the recruiting process but also our culture, our benefits, the environment in which we work. We are a software development company and we come from a history of agile software practices, which means that we work together in a very people-oriented and collaborative way. So, in some ways we had a little bit of a head start in that, by working in that way, our culture was already built to be more team-focused and collaborative and inclusive, so that was a good advantage for us when we got started. >> So, how else do you implement these best practices of the collaboration and the inclusivity? Because, I mean, it is one thing to say that we want everyone to have a voice at the table, but it's harder to pull off. >> It is, absolutely. So, a couple things that we've done over our history, one is just starting with open conversation. We talk a lot about unconscious bias, we do education and training through the workforce, we try to encourage those uncomfortable conversations that really create breakthroughs in understanding. We look for people that are open and curious in the interview process, and we feel like if you are open to having your views about the world challenged, that's a really good sign. So, that's kind of one step. Then, I think, when bad behavior arrives, which it always does, it's how you react and how you deal with it. So, making it clear to everyone that behavior that excludes or belittles others on the team is not tolerated. That's not the kind of culture that we want to build. It's on ongoing process. >> So, how do you call out the bad behavior, because that's hard to do, particularly if you're a junior employee. >> Yes, so we try and create a safe environment where people feel like, if I have an issue with someone on my team, particularly if it's someone more senior than me, we have a complete open-door and flat organization. So, anyone can pick up the phone and call me or our CEO or whoever they feel comfortable talking to. I think, what happens is, when that happens and people see action being taken, whether it's feedback being given or a more serious action, then it reinforces the fact that it's okay to speak up and that you are going to be heard and listened to. >> One of the underlying themes of this conference is that women technologists have a real responsibility to have a voice in this industry, and to shape how the future of software progresses. Can you talk a little bit more about that, about what you've seen and observed and also the perspective of ThoughtWorks on this issue? >> Absolutely, we all have seen the power that technology has in transforming our society, and that is only going to grow over time. It's not going away. So, it really impacts every aspect of our life, whether it's healthcare or how we interact with our family or how we go to work every day. Having a diverse set of perspectives that reflects the makeup of our society is so important. I was really impressed by Dr. Faith Ilee's keynote on Wednesday morning-- >> She's at Stanford. >> Yeah, Stanford and at Google right now as well. She spoke about the importance of having diverse voices in the field of artificial intelligence. She said, no other technology reflects its designers more than AI, and it is so critical that we have that diverse set of voices that are involved in shaping that technology. >> Is it almost too much though? As a woman technologist, not only do you have to be a trailblazer and put up with a lot of bias and sexism in the industry, and then you have this added responsibility. What's your advice to women in the field? Particularly the young women here who are at their first Grace Hopper. >> Absolutely, our CEO-- Sorry, our CTO, Rebecca Parsons, often says that the reason that she put up with it for so many years is because she's a geek, and because she's passionate about technology. So, when you're in those trying times, being able to connect with your passion and know that you're making a difference is so important. Because, if it's just something that you view as a job, or a way to make a living, you don't have that level of passion to get you through some of the hardships. So, I think, for me, that sense of responsibility is kind of a motivating and driving force. The good news is it will get easier over time. As we make progress in our industry, you don't feel so alone. You start to have other women and other marginalized groups around you that you can connect with and share experiences. >> What are some of the most exciting projects you're working on at ThoughtWorks? >> We really try to cover a broad landscape of technology. We think of ourselves as early adopters that can spot the trends in the industry and help bring them into the enterprise. So, we're doing some really exciting things in the machine-learning space, around predictive maintenance, understanding when machine parts are going to fail and being able to repair them ahead of time. Things like understanding customer insights through data. I think those areas are emerging and super exciting. >> Excellent. What are you looking for? Are you here recruiting? >> Absolutely. >> And, with a top company sticker on your booth, I'm sure that you are highly sought after. What are you looking for in a candidate? >> We for a long time have articulated our strategy in three words: attitude, aptitude, and integrity. Because we feel like if we can find a person that has a passion for learning, the ability to learn, and the right attitude about that, we can work with that, right? The world of technology is changing so fast, so even if you know the tech of today, if you don't have that passion and ability to learn, you're not going to be able to keep up. So, we really look for people in terms of those character traits and those people are the kind of people that are successful and thrive at ThoughtWorks. >> If you look at the data, it looks as though there is a looming talent shortage. Are you worried about that at ThoughtWorks? What's your-- >> Absolutely. There is a huge talent gap. It's growing by the day. We see it at our clients as well as ourselves. For me, it really comes down to the responsibility of society as well as companies to invest in upscaling our workforce. We have seen some clients take that investment and realize that the skills they needed in their workforce a few years ago look very different from what they're going to need into the future. So, we believe strongly in investing in and training and upscaling our employees. We help work with our clients to do so as well. But, I think we can't rely on the existing educational system to create all of the talent that we're going to need. It's really going to take investment, I believe, from society and from companies. >> And on the job training. >> Absolutely. There's no replacement for that, right? You can do the kind of academic and educational studies but there's no replacement for once you get into the real world and you're with people and the day to day challenges arise. >> Excellent. Well, Joanna, thanks so much for coming on. It was a real pleasure talking to you. >> Thank you, it was my pleasure. >> We will have more from the Orange County Convention Center, the Grace Hopper Celebration of Women in Computing just after this. (light, electronic music)

Published Date : Oct 6 2017

SUMMARY :

brought to you by SiliconANGLE Media. She is the Group Managing Director, Your company is being honored for the second year in a row It's not something that we started a couple of years ago, So, being recognized as a top company So, in some ways we had a little bit of a head start Because, I mean, it is one thing to say that we want That's not the kind of culture that we want to build. the bad behavior, because that's hard to do, and that you are going to be heard and listened to. and to shape how the future of software progresses. and that is only going to grow over time. and it is so critical that we have that diverse set and then you have this added responsibility. Because, if it's just something that you view as a job, and being able to repair them ahead of time. What are you looking for? I'm sure that you are highly sought after. a passion for learning, the ability to learn, If you look at the data, that the skills they needed in their workforce and the day to day challenges arise. It was a real pleasure talking to you. the Grace Hopper Celebration of Women in Computing

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Telle Whitney, AnitaB.org, Grace Hopper Celebration of Women in Computing 2017


 

[Techno Music] >> Narrator: Live, from Orlando, Florida it's the Cube covering Grace Hopper's celebration of women in computing. Brought to you by SiliconANGLE Media >> Hey welcome back everybody, Jeff Frick here with the Cube. We're at the Grace Hopper Celebration of women in computing 2017, 18,000 women and men here at the Orlando Convention Center it gets bigger and bigger every year and we're really excited to have our next guest, the soon-to-be looking for a new job, and former CEO but still employed by AnitaB.org, Telle Whitney, the founder of this fantastic organization and really, the force behind turning it from, as you said, an okay non-profit to really a force. >> Yes So Telle, as always, fantastic to see you. >> Oh it's great to see you, glad to welcome you back and glad to have you here. >> Yes, thank you. So, interesting times, so you're going to be stepping down at the end of the year, you've passed the baton to Brenda. So as you kind of look back, get a moment to reflect, which I guess you can't do until January, they're still working you, what an unbelievable legacy, what an unbelievable baton that you are passing on for Brenda's stewardship for the next chapter. >> Yes, I mean, I've been CEO for the last 15 years and under that time period, we've grown into a global force with impact, well over 700,000 people. We have well over 100,000 people who participated with the Grace Hopper or the Grace Hopper India. It's grown, and what's been really exciting the last few days, is hearing the stories. >> Jeff: Right, right. >> Of how, the impact that this, the AnitaB.org has had on the lives of young women but also mid-career and senior executives. It's very inspiring to me. >> It is, it's fantastic, and I think the mid-career and more senior executive part of the story isn't as well-known, and we've talked to, Work Day was here, I think they said they had 140 people I think I talked to Google, I think they had like 180. And I asked them, I said, is there any other show, besides your own, that you bring that many people to from the company for their own professional development, and growth. And there's nothing like it. >> That's true. The reason why the Grace Hopper celebration has grown as significantly as it has is because more and more organizations, companies, bring a large part of their workforce. I mean, there are some companies that have brought up to 800 people, and sometimes even 1,000. >> Jeff: Wow >> And there's a reason why, because they see the impact that the conference has on retention and advancement of the women who work for them. >> And that's really a growing and increasing important part of the conversation, >> It is. >> Is retention, and two, getting the women who maybe left to have a baby, or talk about military veterans getting back in, so there's a whole group of people kind of outside of the traditional took my four years of college, I got a CS degree, now I need a job, that are also leveraging the benefits of this conference to make that way back in to tech. So important now as autonomous vehicles are coming on board and all these other things that are going to displace a bunch of traditional jobs. The message here is, you can actually get into CS later in life and find a successful career. >> Yes, we have a real diversity of attendees. So about a third of them are students, and that's really, they're brought here by their universities because that makes a difference. We have a great group from the government. So there's this real effort to bring state-of-the-art technology into our government, initially spearheaded by Megan Smith but really has grown. And the government brought quite a few women. And yes, we do have re-entry people. The companies are looking for women who are very interested in getting back in the workforce. The wonder about our profession, is that they're in desperate need of talented computer scientists. And so, because of that, more and more organizations are being innovative in how they reach out to different audiences. >> And outside of you, I don't know that anyone is more enthusiastic about this conference than Megan Smith. >> Yeah (laughs) >> She is a force of nature. We saw her last year, we were fortunate to get her on the Cube this year, which was really exciting. And she just brings so much energy. We're seeing so much activity on the government side, regardless of your partisanship, of using cloud, using new technology, and that's really driving, again, more innovation, more computing, and demand for more great people. >> Yes, we're very blessed that Megan has continued to come here every year. She came back this year, she sat on the main stage, and she has really been, her message to so many of the young women is that, consider government technology as something you do, at least for a while. And I think that that's a very important message if you think about how that impacts our lives. >> Right, for the good. >> Telle: Yes. >> And that was a big part of her message, she went through a classic legal resume, and some other classic resumes where you have that chapter in your career where you do go into government and you do make a contribution to something a little bit bigger than potentially your regular job. It does strike me though, how technology and software engineering specifically is such an unbelievable vehicle in which to change the world. The traditional barriers of distribution, access to capital, the amount of funding that you used to have to have to build a company, all those things are gone now through cloud, and the internet, and now you can write software and change the world pretty easily. >> Yes. Technology has the possibility of being equal access for anybody. Open-source, anybody can start to code through open-source. There are many ways for anybody, but particularly women to get back in. But I also like to think about many of the companies here who bring their diversity, they bring their senior executives, they bring this large number of women and they create this view across the entire company of how to create a company that's impactful as well as, you know, developing the products that they are invested in. >> Jeff: Right. >> I mean you can have impact in many different ways, through companies, through non-profits, through government, through many different ways. >> Right, and not only the diversity of the people, but one of the other things we love about this show is the diversity of the companies that are here. Like you said, as government, as I look out there's industrial equipment companies, there's entertainment companies, MLB is right across from us and has been there the three days. So it's really a fantastic display of this kind of horizontal impact of technology, and then of course, as we know, it does make better business to have diversity in teams. It's not about doing just the right thing, it's actually about having better bottom-line impact and better bottom-line results. And that's been proven time and time again. >> Well yes, and, so what I know is that every company is a technology company. If you think about the entire banking industry, they have this huge technology workforce. Certainly classic technology companies have a lot of engineers, but insurance, and banking, and almost anything. I mean, we have a lot increasing amount of retail, Target, Best Buy, places like that. >> Right. Okay so I tried to order in a horse so you could ride off into the sunset at the end of this interview, but they wouldn't let me get it through security. >> Okay >> But before I let you go, I'd just love to get your thoughts on Brenda, and the passing of the baton. How did you find her, what are some of the things that you feel comfortable, feel good about, beyond comfortable, to give her the mantle, the baton, if you will, for the next chapter of AnitaB.org? >> I've been very blessed to lead this organization for 15 years, and this is my baby. But there is nothing more heart-warming than to be able to talk to a visionary leader like Brenda. Brenda is extraordinary. She really believes in computer science for all. She believes that all women should be at the table creating technologies. She has a vision of where she wants to take it and yes, she just started last Sunday, so we have to give her a little time. (laughs) >> You were right into the deep end right? Swim! (laughs) >> But she is just, I mean, I just feel very blessed to have Brenda in my life and I will be there in any way that she needs for me to be there to work with her. But she is going to be a great leader. >> Oh absolutely. Well Telle as always, great, and as you said, you're more busy than maybe you expected to be here, so to find a few minutes to stop by the Cube again, thank you for inviting us to be here. It is really one of our favorite places to be every year. Finally my youngest daughter turns 18 next year, so I can bring her too. And congratulations for everything you've accomplished. >> I love to be here, thank you for coming. Glad we could talk. >> Alright, she's Telle Whitney, I'm Jeff Frick, if you're looking for a highly-qualified woman in tech, she might be on the market in 2018. (Telle laughs) Give me a call, I'll set you up. Alright, you're watching the Cube, from the Grace Hopper Celebration of women in computing. Thanks for watching. (techno music)

Published Date : Oct 6 2017

SUMMARY :

Brought to you by SiliconANGLE Media and really, the force behind turning it from, So Telle, as always, fantastic to see you. and glad to have you here. at the end of the year, Yes, I mean, I've been CEO for the last 15 years has had on the lives of young women and more senior executive part of the story I mean, there are some companies that have brought of the women who work for them. that are also leveraging the benefits of this conference So there's this real effort to bring state-of-the-art And outside of you, I don't know that anyone is more We're seeing so much activity on the government side, and she has really been, her message to so many and the internet, and now you can write software of how to create a company that's impactful I mean you can have impact in many different ways, Right, and not only the diversity of the people, If you think about the entire banking industry, so you could ride off into the sunset at the end that you feel comfortable, feel good about, But there is nothing more heart-warming than to be able that she needs for me to be there to work with her. and as you said, you're more busy than maybe you expected I love to be here, thank you for coming. she might be on the market in 2018.

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DeLisa Alexander, Avni Khatri, Jigyasa Grover, Women In Open Source Winners | Red Hat Summit 2017


 

>> Announcer: Live, from Boston, Massachusetts, it's The Cube, covering Red Hat Summit 2017. Brought to you by Red Hat. >> Welcome to more of The Cube's coverage of the Red Head Summit 2017, I'm your host, Rebecca Knight. I'm joined today by DeLisa Alexander, she is the Chief People Officer here at Red Hat and then, joining us also, are the women in Open Source Technology winners. We have Jigyasa Grover and we also have Avni Khatri. So congratulations. >> Thank you. >> Thank you. >> I'm looking forward to hearing more about why you were bestowed with this honor but I want to start with you, DeLisa. >> DeLisa: Thank you. >> Why this award? Why did Red Hat feel that highlighting women and what they're doing in Open Source was worthy and we needed to showcase these women? >> Red Hat believes this is incredibly important. We all know that there are not nearly enough females in the technology industry and as the Open Source leader, we felt like we had a responsibility to begin to make a difference in that way. >> So tell us about the process. How do you find these women? How do you then winnow it down to who deserves it? >> So it's community based. It's a power of participation. >> So it's the Open Source way. >> It is the Open Source way. So the nominees come in from whomever would like to make a nomination. We do have a panel of judges that narrow down the nominations so there's five of each, the academic and the community And then we put it out to the community to vote. And so the community selects our award winners. >> Great, okay. So let's start with you, Anvi. So you, you're based here in Cambridge. >> Anvi: I am. >> And you were talking about how you had a five year goal. >> Yes. So, I was working at Yahoo! at the time and my boss at that time had asked us to make one year, five year, and 10 year goals. And in my five year plan, I had listed I wanted to set up computer labs for underserved populations. I wanted to travel, I wanted to see other cultures and I wanted to bring technology to other cultures. And I went to this awesome conference, the Grace Hopper Conference for Women in Computing. >> The Cube has a great partnership and long-term partnership with Grace Hooper. >> Awesome, it's a great conference. I was there and I met ... I reconnected with some folks and I was so inspired by all the women that were there and I came back and I was looking at my goals and I was like, why do I have to wait five years to do this? And I looked online and I saw that someone I had reconnected with, Stormy Peters at Grace Hopper, was running Kids on Computers and so I emailed her and the rest is really history. I found one of my passions in life is to bring technology to people who don't have access to it and doing it with Open Source so that it's accessible to everyone who needs it. >> So tell me about some of the stories, some of the kids that you're working with, and how it is, in fact, changing their lives. I just got back Monday night from a trip to Oaxaca, Mexico for Kids on Computers. We were there for a whole week. But we were setting up computer labs for these local rural communities. Most of them don't have internet. Some of them are now starting to get internet but what we do is we take donated equipment and grant money and Red Hat has also been ... Has awarded Kids on Computers a grant for contributing to some of the labs we set up last week. But we set up two new labs, we took donated equipment and we purchased equipment in country and we worked in the small towns of Antequera and Constitución. Those are actually the school names. We worked in the city of ... It's a suburb of Oaxaca City, Santa Cruz Xoxocotlán and working with them is really enlightening. So, some of the teachers have never used a computer before. Some of the kids have but most of them have not. So just seeing them trying to use a mouse, learning how to do single-click, double-click and going from the point where they haven't used it to the point where they have and where the understand it and getting to the point where one kid is teaching another kid is just really ... Just seeing that makes you feel, like, wow. I've actually made an impact and then, hopefully, by providing accessed technology and also providing access to educational content. So the offline content pieces for schools that don't have internet, working with a partner of Kids on Computers, Internet in a Box, providing offline Wikipedia, Khan Academy, MEDLINE content, offline books, that we give them a pathway to bettering their own lives and bettering the lives of their communities. >> That's really incredible and it will be this really big leveling of the playing field. >> Yes, I hope so. I really hope so and I am hopeful that will come to fruition 'cause I think education is one of the most sustainable ways to improve communities and I think Open Source is an avenue to get them there. >> Thank you. Jigyasa, so you are the academic winner. You are still a college student and with this wonderful award so congratulations. >> Jigyasa: Thank you so much. >> I want to talk to you. So you went to an all-girls high school in India and then got to university in New Delhi and weren't very happy with what you saw when you got to university. Can you tell us a little bit more. >> So I told you what was at the end. What I see is ... I am doing my undergraduation in Computer Science and Technology. In my batch, 80% of them are boys and the rest, girls, and not much interested in pursuing a career in technology, as such. They're pursuing different stuff like arts, designing, or even going for civil services back home. So when I came, I wanted to actually pursue a career in technology and do something apart from cataclysm. Not just books, but do something so that I can apply the concepts somewhere. We were just studying different mordents of software engineering but I wanted to be a part of a team, which actually implements it. So Open Source was the only way because I had internet, I had a good internet connection, I had a laptop and lots of free time. So one day I came across Pharaoh. The name itself fascinated me because it reminded me of Egyptian mummies and all. So that's how I actually got into Pharaoh. I've been contributing to it since three years now and also been apart of different world wide programs like Google Summer of Code and to give back to the community which has helped me so much, starting right from scratch. I tried to meet 13 rich developers and budding programmers through programs, like one of them is Learn IT Girl. So it pairs females, both mentors and mentees, worldwide. So not only do you get to know about technology but you can also know about their culture by being a team and knowing about how it works, how are their working styles and temperaments. Also, I wanted to be a part of something local so that I could interact with them physically so I'm the Director for Delhi Network of Women who Code which has more than 400 plus members back in New Delhi and I organize code labs, teach them, or randomly give pep talks sot that they do not feel bogged down and have enough to look forward to. It's been a pretty exciting journey, as I say. >> It's just beginning. >> And this is the thing is that we are bombarded with headlines about how difficult it is for women in the technology industry because it is such a male-dominated industry. There's a lot of sexism, there's a lot of discrimination, a lot of biases where people just don't put women and technology together. You think of a technologist, you think of an engineer, you think of a guy. So how do you think that these awards, DeLisa, are changing things? What are your hopes and dreams for women in this sector? >> Well, we've come so far in terms of the way we think about supporting women just in our conference alone. And so, I think that when we're really, really successful we won't need this award anymore. But we have a long way to go between now and then. Women like these women are just so inspiring and by sharing their stories and showing what women can do future generations of girls, hopefully, will be inspired to join. Men will understand the contributions that women are making today and it will help really generate the next leaders in Open Source that are women. >> Anvi, five years from now, what do you hope? How many labs do you hope to have opened? What's your grand plan? >> So we have 22 labs right now, which is so exciting, in five countries. >> In how long? >> So, we're eight years old. We were a 501(c)(3) in 2009, so super exciting. So my hope is that ... We are currently focusing in Oaxaca and we just formed a partnership with a local university down there to provide support because, as we know, technology is just one piece of the puzzle. We need the community, we need the support, we need the education pieces along with the technology to really fulfill the project. So my hope is that ... At this point, we've kind of figured out how to deploy one lab at a time and my hope is that now we can do this at scale. That we can work with local universities, governments, and actually get .... Reach out to kids who need it because I think Oaxaca has one of the lowest literacy rates in all of Mexico. This is definitely communities where most of the kids do not go on to high school and definitely most do not go on to college. So if we can make an impact, show the measure, like be able to measure the impact that we're making, longitudinally, I think that then we can grow and we can scale. So, very hopeful. But this is my passion, right. So it's going back to as a woman, how do you find your passion. I think, find what you're passion is and go for it and that makes things so much easier. And I think there's a lot of opportunities for growth and look for people that will support efforts that you're doing, like DeLisa. And Jigyasa, she's mentoring girls already. >> And I think that that's also a great point too. This is the Open Source way because it is about community building and it's about collaboration and that is also, you're doing these things ... The software is a metaphor for what you're doing in life. >> [Jigyasa and Anvi] Yes. >> Jigyasa, what's next for you? So first, graduate from college, that would be >> Yes. (laughing) >> A big priority. But then where do you hope to work? >> Actually, I want to learn lots and travel the world, know more about everything. That's what Jigyasa means. So Jigyasa means curiousity in Hindi and Sanskrit so I hope I live up to my name and the next few years, I just want to keep the learning mode switched on, be curious, and if I want to do something, at least I'll give it a try so that I do not regret that I never gave a try. So always be curious, interact, and give a try. >> Do you want to continue working in technology or do you want to come to the States? Where do you see your career path? My career path, it's like I'm trying to balance everything. I want to learn more theoretically about computer science and technology. Maybe do a Master's degree further and then move on to industry. Also, I am pretty excited about the research work. I've done a couple of them in Europe, Asbarez, and Canada so I want to do something which is a mix of everything so that it keeps me going. >> Do you see ... These are really social initiatives that you're both working on. Do you see that as sort of a real future for Open Source innovation and technology? We know that Open Source is helping companies grow, get more customers, make more money, improve their bottom lines, but we also see it having this big impact on global and social progress. I mean, how untapped is this, where are we in this? Open Source is a way, it's not a technology, it's a way. It's a way of doing things and thinking about the world. Transparency, using the best ideas, innovating rapidly. We have a lot of complex problems to solve, now and in the future. Using the Open Source way, we will solve those problems more rapidly. Whether it's a technology issue or something entirely outside of technology. >> I agree with that completely. Open Source is a mechanism by which we can accomplsih not just technical innovations, but also social innovations. We have to look at it wholistically. We have to look at the ecosystem wholistically. It's not just technology, it's also society, it's also community, education and how do all the puzzle pieces fit together. JeLisa, we talked a little bit about the challenges of recruiting and retaining women in this industry. What is Red Hat doing to get the best and the brightest and the most talented women engineers? Well, we've come a long way. We have a long way to go. The first thing we wanted to do is to create an ecosystem within Red Hat that was very welcoming and inclusive because if you are recruiting people and they come in and they have an experience that isn't positive, they're going to go right out the door. So the most important thing was shoring up our community and creating an environment. So we focused on that, really, in the beginning. Then we started thinking about outreach. Now, the problem is so complex to solve, right. So we started realizing there's not enough people to outreach to. So now our next step has been to start to go deeper into the school systems and start partnering, We have a partnership with BU and also the city of Boston where we supported girls coming from middle school into a lab environment and doing some fun stuff, they get introduced to technology and we're going to keep our eyes on them and we'd like to recreate this type of experience in multiple places so really go deeper in to help create an interest at the middle school age with girls. Because that's what we understand that's when we need to get them interested. >> And that's when research shows confidence falls off and women, young girls, start raising their hands less in class. >> And all that stuff. Yeah, it's such a difficult issue but we hope that we will make a difference by reaching into the pipeline and then certainly retaining. We develop our women, we really focus on that. We want to support them as leaders and so it's the whole pathway. >> And Jigyasa, are you finding that your mentorship is making a difference for the young women you're working with? Young girls? >> It certainly is because even after the program ends I receive messages and emails from girls and boys alike about the program or how they want to build their own product. So, I remember one of the girls from Romania. I mentored her during a program sponsored by Google and all she wanted to build was a website for herself and she's very young. So she used to text me about what technologies she should use and how is it shaping up. Can I test it for her? So I really liked that even after the program ended, she kept up her spirit and is still continuing with it. >> And as DeLisa says, now you got to keep an eye on her and make sure she stays with it and everything. Well, DeLisa, Anvi, Jigyasa, thank you so much for joining us. Congratulations. >> Thank you so much. >> Well-deserved. >> Thank you. >> Thank you. >> This has been Rebecca Knight at the Red Hat Summit in Boston, Massachusetts. We''ll be back with more after this. (electronic beat)

Published Date : May 4 2017

SUMMARY :

Brought to you by Red Hat. of the Red Head Summit 2017, I'm your host, Rebecca Knight. I'm looking forward to hearing more in the technology industry and as the Open Source leader, How do you find these women? So it's community based. So the nominees come in from whomever So let's start with you, Anvi. at the time and my boss with Grace Hooper. and the rest is really history. and getting to the point where one kid That's really incredible and it will be I really hope so and I am hopeful that will come to fruition and with this wonderful award so congratulations. and weren't very happy with what you saw So not only do you get to know about technology So how do you think that these awards, and by sharing their stories and showing what women can do So we have 22 labs right now, which is so exciting, We need the community, we need the support, and that is also, you're doing these things ... Yes. But then where do you hope to work? I just want to keep the learning mode switched on, and then move on to industry. Using the Open Source way, we will and the most talented women engineers? And that's when research shows confidence and so it's the whole pathway. So I really liked that even after the program ended, and make sure she stays with it and everything. at the Red Hat Summit in Boston, Massachusetts.

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Sindy Braun, VMware - Women Transforming Technology 2017 - #WT2SV - #theCUBE


 

(instrumental electronic music) >> Announcer: Live from Palo Alto, it's The Cube, covering Women Transforming Technology 2017, brought to you by VMware. (crowd) >> Welcome back to the Cube's coverage of Women Transforming Technology. I'm your host, Rebecca Knight. And I'm here at VMware, with Sindy Braun. She is the Vice President of Social Impact here at VMware. >> Hey Rebecca! >> Welcome! Thank you so much for taking the time-- >> Thank you. It's great to be here. >> To talk to us. >> So, I first of all want to commend you because this conference is fantastic. And you've really taken a Lot You've put it together. >> We did. Of course, it's a consortium, so we could not do this without the partners that we have, and, of course, the great team that is working on this. So, certainly, can't take credit for it, but it is the team has been tremendous in putting this together. >> Well, some of the feedback that I'm hearing is that this conference has a great mix of technical sessions, but then also professional career-based sessions-- >> Sindy: Um-hmm. Yeah. >> What's the balance that you're try to strike when you're putting it together. >> Sure, so this is actually part of what we were aiming at, is there are other conferences that focus on technical women, that focus on women in a certain industry. And this is where we wanted it to have that conversation, to build a community for women in tech. And I think it's the bit of a uniqueness around that, being able to create the network, the support system, the conversation that is happening and becoming even more important in today's world. And that's what we're trying to do here, is how do you create the conversation, and how do you continue the conversation. And this is our second year of doing it. Obviously, last year was such a success that coming back this year was almost a no-brainer in something that we really wanted to invest in. >> And the theme, breaking barriers-- >> Sindy: Um-hmm. >> Where did you... What was the thought behind that? >> I think it's where we're at from a diversity perspective where most companies, particularly, in Silicon Valley and in tech careers, how do we break those barriers? How do we break through? How do we take other people's stories and tell the story of breaking through, of building momentum? And we've got a lot of work to do, but this is where VMware is focused, is how are we going to pull together and make change? And for us, its always been driving it into the business, of making it a business-led initiative, as opposed to an HR-led initiative, which is where a lot of companies do this. And really making it both top down and bottom up because it's about changing consciousness. It's about changing the conversation, and it's about seeing the movement in both the diversity side, which is the numbers associated with it. And the inclusiveness side, which is how do you bring your whole self to work? How do you feel comfortable? And that's also you can see from where we're... The kind of people that are here. That's what it's about, is how do we change the face of women in technology. >> Gloria Steinem is giving the closing address. What a bold choice to choose a feminist. This is the Women Transforming Technology is the conference, and choosing a feminist icon-- >> Sindy: Um-hmm. >> To close it out-- >> Right. Talk today. We were obviously having discussions who would be the right choice and her name came up. And really it was, Wow, could we get her? (laughing) And she was available, and I think we're going to all be in for a treat this afternoon. We just got to spend some time with her, one-on-one Q and A. And it is... Runs so deep with her. She's actually pretty soft-spoken-- >> Rebecca: Um-hmm. >> But you can see that this is how she lives and breathes her life. And I'm just so excited! I can't wait to get in there and hear the keynote. >> One of your responsibilities here at VMware is being in charge of the foundation. >> Sindy: Um-hmm. >> And VMware has a very unique approach to giving. >> Sindy: Um-hmm. Yeah. >> Tell us more about that? >> So, that the approach that we've had is, again, most of what Vmware's and our culture is about is about choice, and about engaging our people, as opposed to many other sort of giving philosophies, which is really a top down approach. So, what we do is really give our employees the say in where did they want to give? How did they want to engage? And we call this Citizen Philanthropy, and we talk about it that every individual can make a difference and that's the Citizen Philanthropy. But at the end of the day, that's how we get to having a collective impact, right? And it has been phenomenal. We have done some work internally around employee engagement, what does this mean? And we're seeing phenomenal results from just how embedded this is in our culture. How proud people are of being able to give in this way. How much they value this as a culture. And we're seeing more and more of this within all of our employees. Most people talking about millennials really wanting to have their sense of purpose, but I'm seeing it across the spectrum. It's not just millennials, it's people at my age, which is much more than a millennial (laughing), all the way across, which is how do we get that sense of purpose? How do we give back? And that's essentially what the foundation approach is, how do we awaken the philanthropist in everyone? >> So, where are employees giving back? Give me some examples of how Citizen Philanthropy plays out. >> Across the board, so we invite our employees to engage, we invite our employees to... And we very generously offer 40 hours of service learning, right? I think just even that phrase, we don't call it volunteerism because really we're focusing on the being of service, and what do you learn from that, right? And I think that has a profound impact on people, and it's not just about, Oh, I'm going to do two hours here or there. It's seeing the impact this has, and then being able to apply it back to their own selves, and see how this grows them and changes their perspective of the world. When we first launched the foundation, it was under the then CEO, Paul Maritz, and he's made this comment up, Anybody who works here has won the lottery of life, alright. And it's part of who we are. And being able to give back is such a tremendous, just privilege. And people feel that and we see it. We just did a survey and we're working on our employee NPS score, which is would they recommend the company. And we found that those employees that have engaged in our foundation programs are 25% more likely to recommend the company. So, you can see how this is really embedded-- >> So, it has an effect on retention. >> And retention, be the culture, and that, in turn, has an impact on hiring because they'll recommend it to their friends, and who, again, are looking for more in a company than just-- >> Um-hmm. >> How am I going to earn my paycheck? And I think that's part of what the foundation allows us to accomplish for people. >> I think that quote from your former CEO has stayed with me, You've won the lottery of life. Do you think that is part of the culture in Silicon Valley, too? I mean, there's a humility there? Because I got to be honest-- >> I think there is-- >> It doesn't appear that way (laughing). >> There's a lot of privilege out there. And I think that's the opportunity that we have, and I think we're seeing some of this changing, with the Warren Buffet's giving away his money. >> Rebecca: Um-hmm. >> What the Gates' Foundation is doing out there. But I think there's a constant reminder of that sense of privilege that where we are in the world, and how we almost have a responsibility to give back and make a difference for others. >> Rebecca: That's great. >> So. >> Well, Sindy Braun, thank you so much for joining us! >> Thank you, this has been a pleasure. >> I'm Rebecca Knight, your host at The Cube. This is Women Transforming Technology at VMware. We'll be right back. (instrumental electronic music)

Published Date : Mar 1 2017

SUMMARY :

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>> Commentator: Live from Palo Alto, it's theCUBE, covering Women Transforming Technology 2017, brought to you by VMware. >> Welcome back to theCUBE's coverage of Women Transforming Technology held at VMware. I'm your host Rebecca Knight. Joining me today is Cornelia Davis. She is the Senior Director of Technology at Pivotal which is the Palo Alto-based company that provides Agile development services on an open source platform. Thank you so much for joining us. >> Thank you for having me. I'm so happy to be here. >> So before the cameras were rolling, you started telling me a little bit about your personal story. You're a woman in tech who loves the tech, but you said for the past three years, you've also become an activist and an evangelist for getting more women into this business. Tell us about that transformation. >> Yes, I'll tell you a little bit about that story. I have the gray hair to prove it. I've been doing this for some time. I actually was a woman studying computer science back in the day where we were getting close to equity. >> Rebecca: There was a time when it was-- >> Yeah, there was so back in the '80s, I was majoring in computer science and I think that we were close to 40% at the time, although I have to say even before I was in college, I was always the girl who was out playing soccer with the boys at lunch time. Gender never really seemed to make much of a difference to me but anyway, I got a degree in computer science and then I spent 25 years in the industry and sure, there were times where I would notice that I was the only woman in the room. Actually I would say maybe three or four years ago, I went to a customer opening where they were catering to the developer community and in the room there were 250 developers, I was the only woman. I mean seriously, I was the only woman of 250 and I was like wow. But other than notice it and chuckle about it and even have some of those experiences where maybe somebody assumed that I was the HR person and not the technologist, those types of things, I never really did anything about it. And then about three years ago, I had the great fortune of meeting Robin Hauser Reynolds and Stacy Hartmann who are the two women behind the movie Code: Debugging the Gender Gap, you've seen it? >> Rebecca: Yes, yes. >> A fantastic film, a fantastic piece and had this opportunity to meet them and got involved in the film and Pivotal became a sponsor. They did some of the filming. They did some interviewing of people at Pivotal and it was through that experience and then I got to go to some of the screenings and participate in panels and so on and it was through that experience that I started to understand that it wasn't just curiosity, that it was actually declining, the numbers were declining and that it was a real serious problem. And so after being in the industry for 25 years and not really doing anything about it, I've become an activist and so I spend a lot of time jabbing on about this. I'll give you another example. Last year in January, Pivotal brought most of the company together here in the Bay Area. We brought about 1,200 people into the Bay Area for worldwide kickoff. And the very first talk that they had after our CEO spoke was a talk on diversity and they actually invited me to come up and speak about gender diversity or lack thereof in technology and talked about the Girls Who Code and some of those great programs out there. >> I want to get back to Girls Who Code because I know that you're passionate about it, but I want to also just get back to the moment that you described where you went from chuckling about being the only woman in the room and saying, "Oh it's not silly," to really feeling, "Hey this isn't right. "I want things to be different." What was that moment? Are you trying to recreate that moment for other women as a wake up call? How would you describe your activism? >> I don't know that it was a moment, but the thing that catalyzes me, the thing that makes me really passionate about doing this is that I have this tremendous opportunity. The way that I came into computing personally was at the end of my sophomore year in high school when we were signing up for classes the following year, I was looking at what might I sign up for and I signed up for a computer programming class and then I went off and I joked around that I went off and had a bitchin' summer. That's the stuff we said in the '80s. I went off and had a bitchin' summer. >> We should bring that word back. Let's do it, Cornelia. >> It's a good word. And I came back and had this computer class on my schedule and I was like, "Uh no, no, no, no. "There is no way I'm doing this." And I skipped class for the first two or three days and then I finally went and curiosity got the better of me. I tried it out and I was hooked. Literally that was the moment, not for my activism, but that was the moment where I had like, "Oh my gosh, this is going to change everything. "This is what want to I do." And that's what brought me to computing and that's what makes me an activist now because I didn't realize for those 25 years that other people didn't have those opportunities, that they were actually systemically being discouraged from having those opportunities and so I think that's at the core of my activism is I want people to have the opportunity because I love what I do so much and I think I was mentioning before before we started rolling the cameras that I've been a technologist my whole career. Occasionally I've branched off and tried to do maybe a little bit more leadership or a little bit more of that, but I love the tech so much and it's such a great wonderful career to be in, self-sustaining and all of those things, I want other people to have that opportunity. That's what gets me going. >> I was reading a bio where you're a self-described propeller head and you can find her knee deep in the code and now you want to inspire the next generation and so you've gotten involved with Girls Who Code. Tell us more. >> Yes so it wasn't actually through the film. I think it was just simply, it was serendipitous, right around the time that I was starting to awaken to what was going on in the industry. Working for Pivotal, Pivotal in our San Francisco office, it's a very cool office. It's very different from what I saw in most of my career which was cube farms. It's a very open floor plan, very hip, just a cool place to be. >> What the rest of us East Coasters envisions Silicon Valley to be. >> Yeah, it's really pretty cool. And so the Girls Who Code, for those of you who might be watching that don't know about the Girls Who Code, it's an organization that really targets high school girls and their flagship program is in the summer they have a seven-week immersion program where they bring girls in and they basically code, they learn to code from nine to five every day for seven weeks. It's a pretty intensive program. Well about three years ago, we weren't sponsoring at that level, but we would be a field trip location. One of our close partners, investors, customers, is General Electric. They hosted a group of these 20 girls in their San Ramon office. They came to us for a couple of summers as a field trip location and of course the girls loved it. They walk off the elevator there's snacks, there's drinks. We parent programmed with them. It's a really cool experience. And then last summer, we actually took the next step and hosted our own groups so we had a group of 20 young women who were here in our Palo Alto office for seven weeks learning to code and I had the wonderful opportunity to spend time with them several times throughout the summer and I actually commute to the Bay Area, not everyday but I commute to the Bay Area and the days that I was coming up here in part to see the girls, I'd wake up at four in the morning for my flight and I'd be like, "I get to spend time with the girls today," and I saw it. I saw the girls who in the first week were clearly there because their parents made them be there and they're sitting there like this and they've got the same attitude that I had when I was in high school the first three days like I am not doing this and the same people are standing up at the graduation ceremony at the end of the seven weeks saying, "This changed my life." And one of those young women I'm spending a little bit more time with is now a computer science major at Northwestern, early decision. It's just fantastic to see that light up. That's what gets me going. >> Now why high school? I get high school in the sense that they're old enough to take on a summer job like internship, but what is it about that age do you think that is so critical? >> Yeah so that age, I'll be honest with you, I think is almost too late for a lot of girls because we are able to reach, I just mentioned, that there were girls in there whose parents forced them into that. They had already self-selected out. Just like I had when I was in high school. I had self-selected out. I was way too cool to be in computing and so in some ways high school is a little bit too late. However, I think you nailed it, is that there's an opportunity there that they're mature enough that you can do something as immersive as a seven-week program and these girls are tremendous. These girls after a seven-week program are going back to their high schools and being the president of their Girls Who Code after school clubs and teaching them and I was just spending some time, we had a hangout with them recently where they said when their friends are asking, "What are you going to do this summer?" And the girls said, "I have no idea, "but you know what you should do "is you should do Girls Who Code." She said, "That's all I want to do. "I just want to do Girls Who Code all over again." And so I think you're right, I think it's opportunistic in that they're ready, but unfortunately I think it, like I said, it self-selects a lot of people out. I think fundamentally the thing that we need to do to reach the younger grades, the younger students, is it needs to be part of the curriculum. It absolutely 100% needs to be part of primary school curriculum so that they can get hooked and understand what it is before they self-select out because they're self-selecting out based on a perception and the image that they have of what it is, the Silicon Valley show, that's a perception. Sure it's satyr but young people see that and they don't see it as that. It just looks like something where there's a whole bunch of misbehaving men treating women poorly. >> So on that actually Cornelia, what do you make of the really distressing news that we're hearing that's not necessarily new, there has been the Uber bombshell of last week, but what we know about the culture here and maybe why there were so many women and it was almost 50/50 and then we started to see a drastic change and lower numbers of women in computer science and a lot of women just saying, "Ew, I don't want to be part of that. "I don't want that for my career." What do you say to them and what do you say to the men who are not even knowingly discouraging them from that kind of career? >> Oh, I love what you just said, not even knowingly. One of the things that I spend a lot of time talking with folks about every chance I get is implicit bias. I think that there's definitely overt sexism and in the last week we've seen that big in the news and that is a huge problem. I think I've heard statistics of whatever 60% of women have some level of relatively overt sexism, 100% of us get the implicit, the non-overt, and people who are well-meaning saying things, when they say for example, I was just chatting with a young lady a couple of weeks ago. She's a sophomore in college and she was telling me that last summer during her internship, within the first week or two, her boss was talking to her about her career plans moving forward and was already encouraging her to go more into management than into technology. This person was not evil, wasn't trying to keep women out of technology or keep women out of the most technical parts of a technology career, but he really genuinely believed that, "Maybe women are better at that and not so good at this," and it's really just our implicit biases. So I think that's a big part of it. And for the last year or two, I've been talking about implicit bias and I've been talking about the compensating mechanisms so first of all recognizing your implicit biases and then being conscious about them and then consciously combating them. I've become in the last several months, I would say six months, I've become more and more interested in the idea of how do we actually change those implicit biases. >> And this is men and women. It's not just the men here. >> No question because when I've had conversations where I've spoken for example on implicit bias, I've had women come up to me afterward and say, "I signed my son up for a coding camp. "I never even thought about signing up my daughter." >> Rebecca: Oh, that hurts. >> And I was like, "So you're signing her up now, right?" She's like, "Oh yeah, oh yeah, yeah, yeah." And so I think it's really interesting to start thinking about how do we actually get rid of them? It's one thing to recognize them and then fight them, but it's another thing to get rid of them. I think the only way we can get rid of them goes back to the statistics that we talked about early on which is I am surprised when I see a woman technologist. That's just the way our brains work. We categorize things. >> We have an idea in our head of what that person looks like. >> We put things in buckets. We wouldn't be able to function in this world with so many different inputs unless we put things into buckets and we just put things into buckets largely based on statistics. And so I'm becoming increasingly interested in really amplifying the voice of women in technology because when we hear women's voices in technology, women who are up there not talking about what we're talking about today which is the gender imbalance, but talking about the tech itself, then we start to normalize, then we start to re-categorize things in our brains so that we're not surprised when we hear a woman talking about something deeply technical or somebody who's doing particle physics or something like that, we're not surprised anymore and say, "Wow she's a rocket scientist," it's normal. That's what I'm interested in doing is getting that to be the norm, not the exception. I think the first step what I would say to people, what I do say to men and women across the industry is first of all recognize it and then let's see what we can do to change it. >> Cornelia Davis, thank you so much. That's good advice, that's good advice. And we'll be right back with theCUBE's coverage of Women Transforming Technology here at VMware. (modern techno music)

Published Date : Mar 1 2017

SUMMARY :

brought to you by VMware. She is the Senior Director of Technology at Pivotal I'm so happy to be here. So before the cameras were rolling, I have the gray hair to prove it. and in the room there were 250 developers, and that it was a real serious problem. about being the only woman in the room and saying, I don't know that it was a moment, We should bring that word back. and I think I was mentioning before and you can find her knee deep in the code I think it was just simply, it was serendipitous, What the rest of us East Coasters envisions and the days that I was coming up here and the image that they have of what it is, and what do you say to the men and in the last week we've seen that big in the news It's not just the men here. I've had women come up to me afterward and say, And I was like, "So you're signing her up now, right?" of what that person looks like. and then let's see what we can do to change it. And we'll be right back with theCUBE's coverage of

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>> Announcer: Live from Palo Alto. It's the Cube, Covering Women Transforming Technology 2017. Brought to you by VMware. >> Welcome back to the Cube's coverage of Women Transforming Technology here at VMware. I'm Rebecca Knight, your host. I'm joined by Colleen Kapase, she is the vice president of Partner Go to Market Programs and Incentives here at VMware. Colleen thanks so much for joining us. >> Thank you for having me, I appreciate it. >> So you are a Channel Chief, that sounds so, it's a great title I love it. (laughs) Can you explain to our viewers a little bit about what you do? >> Absolutely, and maybe my mom will watch this cause she still doesn't quite understand. >> Mom are you listening, okay. >> What I do. Channel Chief is a wonderful opportunity to drive the sales strategy inside a technology vendor through multiple different partners who sell our technology around the world. What many people don't know in the technology industry is trillions and trillions of dollars of our sales go through partners. In fact we even partner with ourselves. VMware partners with Google and Amazon and Dell and everyone else in the industry to help ourselves sell because customers don't buy a technology, they buy a solution. So much like the retail industry, where clothes are made by a brand, it's not necessarily sold by that brand. It's sold Nordstrom's or Bloomingdale's etc. Same thing in technology. So my role as a Channel Chief is to manage those relationships. VMware has about 60,000 partners worldwide, and so our focus as a Channel Chief is how do I get those partners to sell our technology, and not just sell it, but deliver it, and install it, and architect it, and put a whole solution together because VMware is often sold with many other technologies. The server side, the networking side, the storage side, and put a solution together for our customers. So that's what I get up and think about every day, is how do I get these partners to sell VMware. >> So you, it's a sales role. >> Colleen: It is. >> And are there many other, and you're also in corporate. >> Colleen: Yes. >> Channel Chief. Are there many other women in these leadership roles? >> Yeah, not as much as I would like to see today. But I think it's beginning to grow as a career that's well suited, frankly, for women. It is a corporate role, in many cases, and there's different kinds of Channel Chief. There's a field Channel Chief that's out there meeting with all the different partners, putting together the business cases and how can we sell more in the future. My role, and one that's really growing in the industry is a corporate Channel Chief. We think though the incentives. Almost like the comp plan for a sales person, but it's what's the comp plan for a partner. How do we pay them, what behaviors do we want to reward for. What behaviors do we want to stop rewarding for. And how do we want to move the cheese, if you will, on the sales team that happens every year, it's a very natural thing but we're thinking about these for businesses versus individuals. Another piece is what's the legal requirements of working with us, what's the training requirements, which technology do you need to know, how do we need to increase those technologies. The wonderful thing is a Channel Chief, really, we touch the marketing department, the legal department, the finance department, the sales department, most importantly, the business unit department that creates the technology. How do we sell it. You're almost like a mini CEO within the company. But if you do it at a corporate level, it's also a role that doesn't require a lot of travel. And that seems to be one of the main inhibitors for women that I see in sales, is the road warrior piece is something that just doesn't work for a lot of women. So being a corporate Channel Chief you can be involved in the strategy, doing the research, setting the direction. But have a bit more of a stable home life as well, so you can balance work and home. >> Right, and you can get to a certain point of influence in your career without having to be out there as much. >> Absolutely, but I always refer to it again as that mini CEO because you're really that hub and spoke, you touch so many different departments and you're solving so many company problems that are really at the central piece. Hey, it's amazing, we've created networking virtualization, how are we going to sell it? Who do we sell it with? What does it displace, what does it replace? How do we explain it to customers? Who was selling networking already that could help us do this? Really it's the hub of everything. >> And because you're collaborating with all these different business units, as you say, gets your brain working in different ways too which is fun. >> Absolutely. >> And, not to be generic, but having that collaborative spirit that many of us women have, it really works well for you. You have to be able to understand, and put yourself in the position of finance, of the business unit, of the legal team, and be able to communicate with all of 'em, okay this is how we're going to bring this technology to market. >> So for a viewer out there, that sounds like something I'd like to do, how did you get started? How did you become a Channel Chief? >> Yep, not so interesting story but I'll share with you anyways. >> Rebecca: We only want interesting stories Colleen. >> I came from a family that had a doctor, and a teaching background from my parents. So when I said I wanted to go into business I think they wanted to disown me somewhat, and didn't really know how to guide me, so I was really on my own. Went to the University of Washington Business School and really went to the career center and saw consulting. And in my mind I'm like, ah consulting, I can try different things, do different things and learn more about business to find my niche, and it happened to be a channel consulting company based out of Seattle, Washington. So I actually started as an intern. And there are multiple different channel consulting companies that still exist, especially in the Bay area, in Boston are two of the main headquarters of those. I got to see what is a channel strategist do in hardware vendors, software vendors. I worked for Compaq, I worked in HP, I worked in Inktomi. I quickly learned that software had more monies so that seemed like a good direction to go. There's a small group of folks that understand channel. But they're very willing to train the next generation. So it's a very niche, really profession. If you understand it, and if you listen to the partners, and you bring back their voice within your vendor, you can be very well respected in the industry as well. >> Now you're also on the diversity council here at VMware. >> Colleen: Yes. >> What are some of the things you're working on to make this a more inclusive work environment? >> Great question. Some of the things that we're working on within VMware, that I think is very important, especially because VMware has our engineering background is the math behind the problem statement. How are we doing as a company? We have created wonderful dashboards that really sit down with our leaders and really look at diversity. How many women to we have in the company? How many do we have at individual contributors all the way up in to the vice president level. How many come in from a recruitment standpoint, how many do we promote and how many do we lose? What I've found is, sitting down with our leadership, male and female and looking at the math and the dashboards of where we stand as a company gives us a single foundation to start from, and then figure out how are we going to continue to improve that? I'm sure, as you know, VMware's recently come out with our statistics of being 23%, for instance female. And then we're constantly looking at how can we improve upon that. We have educating people in the programs that we have. People of Difference, our PODS for instance. We have a VM inclusion, People of Difference, POD, around women and that's when we get together and talk about how can we support each other, what are some tactics that we can come with to support each other even just in a meeting. You know you can sit in a meeting, and you know that old adage of you can say something and then possibly a male repeats it and you weren't listened the first time. But what's amazing to watch in VMware, now other women are trained to stop in that meeting, say, ah, actually I think Colleen just said that, so nice of you to repeat that. Handled in a nice almost fun kind of way. >> That's not always easy to do though. >> No it's not. >> I mean, that takes a deft touch. So are you also in those training sessions? Are you, is there sort of an EQ component to it? >> Absolutely, and we practice. So we literally have groups of ourselves, that we go through the training and we practice, and we hold each other accountable, and say in two weeks find one example where that happened to a colleague or yourself and how did you correct the situation or not correct the situation. Let's talk about it, why did you or didn't you. Holding each other accountable seems to be a big, big piece of, I think, the success at VMware. Cause you can discuss the problem and have a support group of agreeing on what the issue is, but not take action to fix it. And so those support groups, and coming together, and saying here's the issue, and here's how I addressed it in my small way, in my one meeting, and those death by a thousand cuts starts to stop, and you find you have alliances with other women who are supporting women, and we're all trying to come together to further the cause, which is a great feeling. >> So, I mean, this sounds as though things are, that VMware is aware of this and is trying to improve the culture. But Silicon Valley gets a lot of bad press, particularly lately, particularly this last week. >> Colleen: Yes. >> Of being an intolerant place, or being sexist. Is it as bad as we're hearing? >> I've certainly heard some of the stories at some of the other tech vendors recently. I'd hate to think it's that way at every single company. I know that Uber's story is recently come up, that's pretty serious, I think. Do I think everyone experiences it as a female at some level, whether it's the joke or the football talk, or not feeling included, or the cigar lounge. I think that happens to some extent everywhere. Did the seriousness of what we're hearing come out in the press happen everywhere, I hope not. I haven't had those types of experience. But I think almost everyone has had it. You know, just a mispositioning of a statement that did offend, or hey, how was maternity leave handled by male leadership. And there's something I'm pretty, pretty passionate about, that we're beginning discussion at VMware, which is a reverse mentor. So we're really asking some of our male leaders to look at having a female or diverse candidate reverse mentor. So someone lower than you, honestly, in the pecking order, telling you, or being there as someone you can bounce something off of. Hey I was thinking of doing this, would this bother you as a woman? Or when they see you say something or do something, or hey did you notice you, you know, leader, you had a panel and it was all men. Really having a relationship where they can have those conversations, cause sometimes what we're finding is the men just really aren't aware. And you want to think that they are, and I think we're so super aware and more vigilant of it that they would be more aware, but I think having the ability as a leader to learn from your team or someone specifically on you team that you have trust. >> But the people who have the reverse mentors, aren't they already a self selecting group in the sense of their already the ones who are aware that there are problems. I mean, I'm just thinking about it, >> Yeah >> It sounds like a great idea, but how do you get that leader who maybe is a little more bullheaded or just unaware, oblivious, to say you need this, you need someone of, who has a different perspective than you, telling you how it is, or telling you what his or her experiences. >> I think that's a great question. Something we're pretty focused on is diversity. We're not necessarily doing it to be nice. We're doing it for business outcomes. I think the hope is, you have, maybe the leaders who are self selecting who come and do the reverse mentoring, are aware of their organization and how they need to improve. But what we can show is, if they work on it over time, they get better business outcomes. And in sales business outcomes is very clear and easy to see. (Rebecca laughing) So the teams that have the more diverse teams, and lean in to the issue, even if they were more self selecting, if they have the better business outcomes, if they have the better sales over time, it becomes less of a, hey the person who is bullish who doesn't want to, he needs you to do this to be nice, it's more, this person got better sales results than you did, so why don't we take a page out of what they did and try some of these things. And I think if we can keep in on business outcomes, that's part of the way we can win. In sales, that's a little easier than on the technical side. >> There's a clear ROI >> Colleen: Absolutely. When you look at it. No, and I think that's a really good point because you do think of diversity training as kind of this squishy thing, that you can't necessarily always quantify. >> Colleen: Yeah. >> What are you, what are you seeing, and what are you hearing from your colleagues, your other Channel Chiefs in terms of what's happening? (sighs) >> Great question. There's not enough of us, so I actually just met with four of them yesterday from Brocade, and Riverbed, and Sungard, and we had a discussion of what's working or what's not working. I think we're seeing a better understanding from all of our peers on male and female, of there's an issue, we're not diverse. The statistics are being published now. We're seeing companies come out, VMware published, where are we at. And you can just kind of look at the numbers and say we have a ways to go. >> So you're benchmarking yourself, but then you're also benchmarking yourself against, >> Against others. >> Yes. >> I think more people are coming out and, you know, I think Facebook, and Apple sort of started some of that trend, but Amazon, Microsoft, Oracle, they're all publishing now their percent of leadership that is women. So I think we have an agreement on, we've got an issue, we could see mathematically we have a problem. We need to improve that. I don't think some of the smaller companies have the assets and the resources to solve the problem yet. And they're looking at some of the larger companies, what are you doing, and what tools are you developing and how can we learn from you. Cause when you talk to some of those smaller companies that maybe are more likely to have some of the female leaderships in those positions, they still don't know how they are going to solve this problem completely. >> Thinking about the top women in Silicon Valley, or top women in the technology industry, the names we know that are in the press all the time, the Sheryl Sanberg's, and Jenny Remedy's, who do you think are some of the unsung heroes? >> Oh, unsung heroes. You know, I, in my world, in the channel world I see a much smaller community of women. I see the women in VMware frankly. I think Betsy and what she's done at VMware as our chief people officer, and really taking the issue on, pretty head on, and even, you know, to the point of having the Women Transforming Technology event here at VMware and sponsoring it, and getting Dell to sponsor it, and Pivotal and the other sponsors. I think that's been huge, and that's been a journey watching her on as well. Cause she's been at VMware 12 to 14 years, I think. And having a female founder of VMware wasn't an issue, you didn't think of it, that was actually one of the things used to recruit me here, that i was very excited about at VMware. But over time we saw things change and maybe the dynamics as we grew fast, diversity didn't necessarily grow. And she was the one who said we need to stop, if we need to be thoughtful about this, we need to think. This isn't going to get VMware the best business outcomes, and she's really been pushing the issue quite strongly at VMware. I'm in awe of her. I don't see her discussed as much as Sheryl Sanberg and the luminaries out there, but I've been seeing her battles within VMware and she's been making a huge difference. >> Colleen Kapase, thank you so much for joining us. >> Yeah, thank you for having me, I appreciate it. >> We're at Women Transforming Technology here at VMware. I'm Rebecca Knight, we'll be right back. (techno music) (techno music)

Published Date : Feb 28 2017

SUMMARY :

Brought to you by VMware. of Partner Go to Market Programs Thank you for having a little bit about what you do? Absolutely, and maybe and Dell and everyone else in the industry and you're also in corporate. in these leadership roles? the cheese, if you will, Right, and you can get to that are really at the central piece. business units, as you say, of the business unit, of the legal team, but I'll share with you anyways. Rebecca: We only want and it happened to be a diversity council here at VMware. and the dashboards of to do though. So are you also in and how did you correct the situation and is trying to improve the culture. Is it as bad as we're hearing? in the pecking order, telling you, in the sense of their already the ones to say you need this, that's part of the way we can win. that you can't necessarily the numbers and say we have a ways to go. and how can we learn from you. and maybe the dynamics as we grew fast, you so much for joining us. Yeah, thank you for Technology here at VMware.

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>> Announcer: From Palo Alto, it's theCube, covering Women Transforming Technology 2017. Brought to you by VMware. >> Welcome back to theCube's coverage of Women Transforming Technology here at VMware in beautiful, sunny Palo Alto, California. I'm Rebecca Knight, your host, and I'm joined by Lori MacKenzie. She is the executive director of the Clayman Institute for Research at Stanford University. Lori, thank you so much for joining us here today. >> So happy to be here. >> So, we were talking before the cameras were rolling about your research and one of the things you were talking about is the frozen middle and I really like that terminology because there's so much research about the subtle biases that women face in the workplace and how management can make all the difference. So, tell us a little bit about this frozen middle and about the strategies you're using to help middle managers become better managers. >> You know, people often say employees leave managers, they don't leave companies, and so, the manager really is setting the experience of every employee and so, our question is this: Can you help managers be more inclusive in a way it makes them feel like they're both better managers and better business leaders? So, what we do is we do experiments with them. We say, "Try this" or "Try that," that will block bias and make you more effective. For example, do you know what you're evaluating people on? Do you have a toolkit for that? What kind of dashboard might you create to make yourself more effective? It turns out, when managers create something themselves, based on gender research, and it helps them be more effective. They'll even fight new HR people trying to change them back to a different process because they know it works. And for me, that's the win-win. Managers co-design it, it's based on gender research, and because it makes them more effective, they're more likely to redo these processes themselves, even if they don't have any HR support. >> So, part of it is training, but it also, it sounds like a lot of it is also ownership, too. >> Yes, absolutely. What we found is sometimes inclusion or diversity training is decoupled from what people do everyday at work. What if we put them together and talk about you creating something using the gender knowledge and thinking about what you do every day at work? When you couple those back together, that's when it really matters to managers and makes them feel more effective. >> So often, diversity and gender issues is part of the HR function of a company. >> Lori: Absolutely. >> But your approach is really different. Tell us a little bit about what how you recommend companies think about gender and diversity. >> So, you need diversity inclusion to live somewhere. You need an owner of it and it makes sense that it's owned by the HR function. And we think that's essential. >> Rebecca: And it makes sense because it starts with hiring? Or because? >> And with people 'cause it starts with people. These are all people and people crosses every single function, from marketing to technology, to law, and that makes sense. It's necessary, but not sufficient to motivate change. Change happens because each function and each person believes that it improves what they're doing. So, for example, the rollout of something like Agile software development, software developers use it because they were told it makes them develop better software. What if we approached diversity like that? Managers start to be curious about it and engage in it because they thought made them better developing software that was unbiased, their team meetings went better, more voices were included, people weren't leaving. When you embed it in what people do every day, that's when it's not something that disappears when the HR person disappears. It's embedded in what people do every day and we think that's really important. >> And you were also talking about, you were talking about thinking about this in terms of product rollout, but also, in terms of how people are introduced and how they interact. >> So, we've discovered language matters. And often, if we don't think strategically about language, stereotypes will guide how we call people, regardless of who they are. So, we might tend to say, "I love working with Lori. "She's so great. "She's my best friend." And "I appreciate working with," let's say, "Brian, because he's a strong leader and very strategic." And even though I think they're both really great and really strategic, the audience takes a very different perspective of what people's contribution is. So, language matters, how we introduce people. I always tell people look closely at your LinkedIn profile. Look at how you're endorsing people and try to use language that reflects your values, which are both very driving, strategic, and collaborative teamworking. Combine them, don't default to one or the other, based on stereotypes. >> So, can you, let's unpack that a little bit more. In terms of the stereotypes and the way you described Lori on the one hand and Brian on the other, how is it different and what would you say is typically done and what should we be thinking about to do better? >> Well, it turns out that men and women leaders behave very similarly, that we describe their successes and failures very differently in language, based on stereotypes. So, for not thinking about what do I want to say and then instead, think about what I happen to say, we'll wind up describing them very differently for the exact same outcome. Some descriptions are more aligned with getting promoted and some are more aligned with kind of that helper, supporter-type person. And over time, you could start to see someone gaining an advantage, based on how we perceive them, not their actual contribution. So, one of our recommendations is to think strategically about language to prevent that kind of perception difference from being replicated in how we introduce people, how we describe them, how we talk about them. >> In terms of diversity programs, we were talking a little bit about this before the show started. Does it matter where you start? Do you start with thinking about being more inclusive of women or minorities or people of different sexual orientations? I mean, where do you start and does it matter? >> That's such a great question. It's something I grapple with all the time and in all my years of working in this field, my new line is, "There is no trickle down diversity." And what I mean by that is, by working on the kind of the broadest segment, for example, women, does not mean that Black women, Latino women, and Asian women will benefit for their fair share of these efforts and it might be harder to design for everyone, men of color, sexually diverse people, people with disabilities, but if we don't start there, it seems like we never get there. So, my new perspective is, we really have to start with the hard questions and in the end, whatever we develop will benefit far more people than starting somewhere and having them make up for the fact that we didn't include everybody equally in our programs. >> As the executive director of the Clayman Institute at Stanford, what do you make of what's happening right now in Uber, in Silicon Valley? We've seen so much really depressing, horrible news coming out and this is just a couple of years after the Ellen Pao lawsuit. Why aren't things better and what's your take? >> So, the mechanism of what's behind all the news today is the same. It's privilege. That someone's story is believed and someone's story is not believed and we act on the stories that more align with our cultural norms of expectation, high performance, and that perpetuates itself. And to tell you the truth, there are many days when I just can't look at the newsfeed, but then, I hope that every day I get a little bolder. I found I've spoken a little more strongly, I've pushed a little harder, I've tried not to be complacent myself, but more importantly, I'm trying to support the men and women who are trying to make a difference because we're all feeling a little bit beat down by some of the news and I think now, more than ever, we need to support the well-intentioned people who are trying to do good and know that it's a long view and we're in it for the long run, so let's not get distracted by anything but keep pushing forward, even down to making sure our daughters know that they matter, that if something happens to them, it matters, and that our sons, it matters that they're good men, that they grow up not to have locker talk. I think all of that matters. >> And are you working on anything in particular right now that is directly, I mean of course it directly, it all addresses it, but that really is about what you're hearing women's tales from Silicon Valley? >> You know, what's really exciting about being at an institute that's over 40 years old is that we have a range of topics that we work on and at the Clayman Institute, we've been working on breaking the culture of sexual assault for two years now and we're looking at what are the cultural configurations that enable these actions to be kind of, happen frequently and what can we do to address the culture in which assault and harassment happens. So, we've been studying things like how do you announce, how does a company make an announcement about their findings about sexual assault? Does it matter that you announce with a big statistic? Does it matter that you say these things are unacceptable? Or to just say it's part of, kind of every day life? So we're studying the language of these announcements. We're studying the frequency of them and it's something we've been working on for years because I think when you think about gender equality, it's complex and it's got a lot of dimensions and if we only go in one direction, we're going to miss something. So, I think it's always keeping your eye on all the barriers that women face from harassment to language, to promotions, to access and figuring out what are common ways that we can address and attack all of those issues and find workable solutions. >> What is your best advice to a, let's say a male executive in Silicon Valley who says, "Lori, I want my company to be different. "I want it to be a more welcoming, inclusive, "nurturing culture for everyone." What would you say to him? >> I would say, "Start with the assumption "that everything might have bias in it." Then-- >> Because we're human or-- >> Because we're human. >> Okay, okay. >> And just like software, you always assume there's something you can debug and you're looking for ways that it might be broken and we're often complacent about how people are treated in team meetings, how we hire, who gets promoted. And if we assume that there could be a bug in any one of those processes and we're vigilant about getting better and better over time at tracking them and proving them and then, getting ahead of 'em, that's where a company can take real traction. But the moment we become complacent, we actually open the door to more bias 'cause then we stop looking and the bias is always going to be there. >> But I like what you said too about assume that there's something you can debug. I mean, that's real software, but that's, (laughs) you're talking their language. >> Right, right, and I talk to a lot of male executives. Very well intended, who really want solutions, so part of my optimism is there are a lot of well intentioned people in all of these companies. Let's get them the tools and perspectives to be effective and I think we will continue to see positive momentum, even though the environment right now is a little hostile. I think keep driving forward with the long view, make your cultures as inclusive and safe for all your employees as possible, and take a good hard look at where there might be bias and let's not be afraid to tackle it together. >> And now, let's give advice to that young woman who's starting out at a company in Silicon Valley, who maybe is freshly graduated from college and has never experienced the workforce before. What would you say to her? >> I'd say, "You're awesome." And you know, there are challenges for everyone. Even CEOs get coached about their presence and everything else and there probably will be more barriers as a woman or a woman of color that you're going to have to get better at, but I'm like Gloria Steinem. I'm a hopeaholic. I believe we can all develop the skills. I think we should work together, break the barriers, and develop the skills. But in the end of the day, your voice matters and having you develop the future of technology matters so, let's work on that together. >> Lori MacKenzie, thank you so much for joining us. >> Yeah, thank you. >> I'm Rebecca Knight for theCube. This is Women Transforming Technology. We'll be right back. (upbeat music)

Published Date : Feb 28 2017

SUMMARY :

Brought to you by VMware. and I'm joined by Lori MacKenzie. and one of the things and so, the manager really is setting So, part of it is and thinking about what is part of the HR function of a company. how you recommend companies that it's owned by the HR function. and we think that's really important. And you were also talking about, and really strategic, the audience takes and the way you described and some are more aligned with kind of Does it matter where you start? and in the end, whatever and what's your take? and we act on the stories and at the Clayman Institute, we've been What would you say to him? I would say, "Start with the assumption But the moment we become complacent, that there's something you can debug. and I think we will continue and has never experienced and having you develop the you so much for joining us. I'm Rebecca Knight for theCube.

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Wrap Up - Women Transforming Technology 2017 - #WT2SV - #theCUBE


 

>> Announcer: From Palo Alto, it's the CUBE covering Women Transforming Technology 2017. Brought to you by VMWare. (funky music) >> Hey, welcome back everybody. Jeff Frick here with the CUBE. We're wrapping up a full day here at the VMWare headquarters. I always want to say VM World and not VMWare for the Women Transforming Technology Conference. Been a fantastic day. Kicked off by Kara Swisher, wrapped up by Gloria Steinem, and a whole lot of interesting sessions and topics in between, and really happy to have Rebecca Knight hosting all day. Thank you Rebecca for carrying the freight. >> It's been great. It's been a lot of fun. >> So I want to kind of turn the table. You've been doing all the interviews all day, and interview you, kind of. You know, you live in Boston, so you're not out here all the time. Kind of what is your perspective? A lot of conversation of kind of the Silicon Valley bubble and the Silicon Valley point of view, but it doesn't necessarily represent every place. It's a unique little spot on the world. So what's been your take on that piece of the interviews today? >> I think that that is exactly what I've been thinking about. As an east coaster, I mean I live in Boston. I don't live in Nowheresville, I mean, but it's also a center of innovation and technological change. >> Jeff: Right. >> Particularly Cambridge, but there is a real special magic about Silicon Valley, and yet, Silicon Valley also believes, it drinks it's own Kool-Aid, and so has it's own feeling of specialness too. So it's interesting to be here and watch it all happen. >> Right. Other areas that you cover when you're not hosting the CUBE is management and leadership, and obviously, Boston is a hotbed of acadeem. I think, what Harvard was the first college set up in the United States. >> It was indeed. >> So when you look at some of the issues, there's a lot of topic today on Uber, what's going on at Uber, and some of the kind of overt sexism if you will. When you look at the kind of leadership, and the study of leadership and management, what are some of the things that you're seeing that are kind of new and innovative? You would think it's 2017 for God sake. You'd think we'd be past some of these sophomoric issues, but we're not, and not by a long shot. >> It is very depressing, I'm going to be honest. And I think particularly with leadership right now, I write a column for Harvard Business Review, and Harvard Business School is teaching the next generation how to be leaders, how to be responsible and be the next captains of industry, and yet in Washington, we have this real example of how not to do it in the sense of not listen to experts, not take other people's perspectives, not be willing to collaborate and listen really. >> Right, right, but by the same token, I mean one of Kara's themes was, you know, many of the great entrepreneurs that are driving innovation, we heard from, you know the stories of jobs all the time. They don't collaborate, and they don't kind of tow the line, and they do break glass and break barriers 'cause they think differently, not to steal directly from that line. >> Rebecca: Yeah, yeah. >> But so, it's an interesting kind of juxtaposition of you know, maintaining individuality. >> Rebecca: Right. >> Yet you also have to, have to operate in the world in which we live. >> Yes, and I think that that, exactly yes. Those are very successful people tend to have that kind of driving personality, and yet, an other part of Kara's speech was talking about the virtues of graciousness. >> Jeff: Right, right. >> And, and how that really can also be a powerful part of leadership. >> Right, so as the study of management evolves, kind of how do you see that changing over time? You've been at it for a while, I mean, is it kind of more of the same? Is it fundamentally different what they're teaching in schools or as we study leadership? I'm always struck by, you know, we don't spend more time studying, you know, the Marines at Parris Island. I mean, they teach young kids that are 18 years old, 19 years old to turn into 23 year old leaders, that are, you know, sending people to their deaths for the cause of the greater good that they're objectives, they're trying to achieve. It's fascinating to me that, you know, we don't draw kind of more leadership studies from a broader range of perspectives or am I just missing the bell? >> No and I think you're absolutely right in talking about the military and talking about wartime, I mean, those are high pressurized situations where it's not just, oh, we're not going to make our numbers this quarter. It's my... >> Jeff: Right, right. >> My platoon is going, I'm sending them into their death. >> Jeff: Right. >> If this doesn't work out they way I'd like I've strategized. So, no, I think that they're, I think that increasingly business schools are trying to take lessons from other parts of the military for example, and also using philosophy and art. Design thinking is another hot thing at business schools right now. Trying to take other disciplines and finding the best bits, and what they can apply in terms of how you run your business. >> It's interesting, the whole design thinking 'cause that's getting a rebirth at Stanford. >> Rebecca: At Stanford. >> I know too. >> Exactly the D school, yeah. >> It funny, we interviewed Dan Gordon from Gordon Biersch Brewery who is introducing a new apple, a malted apple beverage, and he had this gal that worked at or was from Stanford, played softball at Stanford and they were doing this design thinking, and they decided white label, and apparently you just go out, and you go meet people and you show 'em the white the label, and you see how the whole thing shapes out. So, there does continue to be this kind of evolution. >> No, it's absolutely true. >> So, biggest surprises of the day? >> Biggest surprises of the day? I mean, I first of all just want to congratulate VMWare of choosing Gloria Steinem to be the keynote close. Like I said, I think that that was such a bold choice, an unexpected choice. Yes, it's a women's conference, but she is a real feminist icon, so I think it was, I just, I'm so proud to be here. >> Oh good. >> And listen to Gloria. >> And how 'about some of your favorite moments from a few of the interviews? >> Oh, so many great interviews. Yanbin Li really an energetic presence. >> Jeff: Yes. >> And she just had a lot of interesting things to say about mixing sort of her personality, her role as a mother and her role as a leader and technologist. >> Jeff: Right. >> I think that was great. I loved listening to Nicola Icott talk about how she uses design thinking to devise a sustainability strategy here at VMWare, and Lily Chang talking about her childhood in Taiwan. The daughter of a mother who had to fight for everything including an education for Lily. And now what she does here in the office of the CTO at VMWare. So so many great women. >> Yeah, it's, you know, it's really my favorite part of the CUBE is we get to talk to so many people. I just, for whatever reason, there just isn't necessarily a format for them to sit down and really tell their story. >> To tell their story. >> Jeff: They're all terrific stories. >> Yeah. >> Well Rebecca, I want to thank you again for making the big trip west. >> It was great, it was great. I love it, I love this place. >> And we look forward to many more events with you. >> Yes. >> As we get deeper into 2017 conference season which is going to be crazy by the way. All right, well thanks again Rebecca. >> Thank you. >> She's Rebecca Knight, I'm Jeff Frick. You're watching the CUBE from VMWare headquarters at the Women Transforming Technology conference. Thanks for watching. (funky music) (intense music)

Published Date : Feb 28 2017

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>> Announcer: Life from Palo Alto. It's theCUBE, covering Women Transforming Technology 2017. Brought to you by VMware. >> Welcome back to theCUBE's coverage of the Women Transforming Technology Conference held at VMware here in beautiful Palo Alto, California. I'm your host, Rebecca Knight. I'm joined by Lily Chang. She is the VP R&D/Office of CTO VMware. Thanks so much for joining us, Lily. >> Thank you for having me. >> You're also a board member. You started out on the advisory board, but now you're a board member on Women Who Code. >> Lily: Yes, recently. >> What is the organization? I mean, it's such a powerful and important organization. Can you tell us a little bit more about it? >> Women Who Code has a mission, which is very similar like today's conference you were seeing. It's to propel the technical women and R&D women across the globe. Basically no boundary of region, cities, or countries. So they're spanning about 50 plus countries and many cities, and we being a founding partner ... We, VMware, have been a founding partner since middle of 2015. They have gone through a rapid growth. I think we bet on the right horse ... (both laugh) Using the business term, and interestingly, they have gone through, in the past 18 months, a tremendous growth of the membership, and because it resonates with a lot of the technical women across the countries over the world, in China, in India, in eastern Europe, based in United States and Europe as well. Basically, right now their membership is about 87,000. They started with 10,000 members back about 18 months ago. >> So it's propelling the women who are already in the industry, but also bringing in new people, new young women into the industry, too. >> It's more than that. We focus on very much mid-range ... >> Okay. >> And early-stage career as well, but the professional bell curve, that golden bell curve, where in the middle of your career, or you're in the career for about two, three years, you're thinking about expanding your career horizon to be a different technical area. You just need that technical skills, and you need a way to be in a non-intimidating environment in a very gender-friendly environment and a very supporting and sponsoring setting where you're learning from each other and sharing all the knowledge, like different programming language, big data, algorithms, mobile technology, how that's involved. And that's really the key value proposition from Women Who Code, and that's what we subscribe to as well. >> Well, Lily, you talked about that sweet spot of a woman's career ... >> Lily: Right. >> And that also happens to be when a lot of women get stuck, or they leave ... >> Lily: Exactly. >> Or they have children, or they pull back and work part-time ... What will it take ... What are you doing with Women Who Code to get them over that, and as you said, help them gain those next skills to help them move up? >> So we basically establish a strategic partnership with Women Who Code, and we offer together with them a monthly meetup or sometimes bi-weekly meetup. We actually opened to several countries in the world. That's where we believe R&D, innovation, are also key. For example, we opened to China. We basically expanded to India and elevated it. In fact, Women Who Code has a annual technology conference for tech women in that particular region, like US is coming in April. We, VMware, are working with Women Who Code later this week to actually launch the first international Connect conference in India. And basically we got huge support and passion and commitment, and we also find it's a very good thing for women to basically learn about leadership and basically be able not to share just their technology with one another, about what they're good at. It's also a way for them to do networking, to learn how to communicate more effectively, and how to basically build the team, sustain the team. So we work out a global leadership initiative through this collaboration with Women Who Code. So we're driving China, we're driving India, we're driving Sofia. We collaborated on the Silicon Valley as well. >> And are the issues the same across the board? >> Yes, we have found the issue is very similar globally. It's where a woman needs encouragement, and a woman needs a very specific setting about how they learn from one another. These technical meetups and these chat over the woman technology community basically are helping that, and then we're also, in a non-profit way, sponsoring Women Who Code through their job board, and that's a non-profit way of helping, opening opportunities and possibility for technical women that basically want to expand their career or finding different avenue in their progression as well. So, basically, for ... You early on talked about, this is age where you're choosing between, do I want to have kids? Do I want to focus more on that? >> These are real things, yes! >> There's a sense of guilt, right. >> Right, right. >> Like, am I going to be so selfish, not to be a working mother? And what we found is that these technical meetings or conferences is not only just a way for women in the appropriate setting to learn about new technology without a very unnecessary peer competition, and they also can basically start sharing what they know, and they can learn together and grow together, and so for example, we offer all this with no charge. If you're a mom, I still remember, with young kids, basically, you will probably want that one or two hours to just spend ... (Rebecca laughs) >> In a bath. >> Yeah, not that you don't love your kids, right? >> Yes. >> But it's just you need that one or two hours. Your brain needs that kind of a chemistry balance as well. >> Yes, yes. >> And you're more rejuvenated, and then when you go back to work, you don't feel like, God, I am missing so many months of work, right? >> Right. >> Reality is you're spending a lot of time rejuvenating your knowledge, and you're keeping pace with the industry growth. We find a lot of other companies that are basically sharing the same vision as we are. >> And that is exactly what this conference is doing. >> Lily: Yes. >> There is a mix of technical breakout sessions, the hard skills, mixed in with the professional tips ... >> Lily: Exactly. >> Of how to give a better presentation and things like that. >> Exactly. So in some of the meetups, for example, if you're a woman that has an upcoming conference and usually there's the stage fright, right, and I kid you not ... >> Rebecca: But men face it too! >> Yeah, exactly. >> It's not ... But then how can we create a more nurturing environment to help the woman to curate her contents without fear and without intimidation. So that's basically the ... Sometimes the meetup is devoted to do things like that, or to just do a programming hackathon, but you're basically collaborating across the genders and the age group ... And your career span as well. Basically, it created a lot of this more collaborative and nurturing environment. >> One of the stereotypes about women in the workplace is that they are very competitive and don't help each other, and there's a real queen bee syndrome, a bitchiness that takes place. >> Lily: Yes, I'm aware of that. >> Yeah, well, what's your experience? Because it's ... There are some women, sure, but what's your experience? >> My experience is it's a matter of perspective and how you actually set up the environment. If you set up the environment where women can actually collaborate, I believe that is actually one of the gender's strength. A lot of the women leaders are into details, and some of the women are into strategic thinking and orientation. We found that if you can blend that together, especially in the global sense, that helps not only learning technology and advancing technology ... Like, one of the most popular thread of technical discussion is the algorithms. When you're talking about innovation, and when you talk about creativity, when you talk about the science, and that's where things has no boundary. >> Yes. >> And it's only yourself that's imposing that kind of thing. So we believe the sponsorship of this, or like the conference today, is breaking down a lot of those barriers. >> That's the theme of the day! >> Bringing the more kind side of the gender onto the table. >> And a camaraderie, too, around solving problems. >> Yeah, exactly. >> So let's actually talk about what you're doing at VMware. You're leading a joint venture in China. Can you tell us more about it? >> Yeah, China is full of myth. >> Rebecca: It's full of ...? >> It's a very mythical country, and so there's a lot of talk about how Chinese does business. I was born and raised in one part of the greater China, and so I was very fortunate to be brought up by a very loving father and a mother. My mom, in those days... In those days, women have to really fight for anything, even education. There wasn't really good career for any technical women that graduated from the best university in the island. So the job I was kind of really encouraged to look for was like a secretary job or an airline stewardess job. My mom is not one of those types. She believed I need to come overseas and study and propel myself. She believes in lifelong learning. She's a career woman, and she coached my dad, who owns his own business, and he cultivated me a lot about this business best practice. How do you do business in China, and how do you work through the generation gaps and communicate more effectively? So I'm very blessed that I'm bilingual, and logically, I can debate and think basically in both language and both cultural mode, and so that helps a lot, in terms of doing a successful job in China. And the joint venture is really VMware's way to do it the right way in China, and we're not trying to brag about, we're a multinational company. We're trying to basically say, this is a good economy and a good part of the world that we want to be able to have our technology to make a difference. So we collaborated with a local China company called Qù Guàng and formed a private joint venture that's focusing on basically cloud management system, and we're bringing a lot of the virtualization and combining the technology and innovation from both cultures together. So that's really the mission of this company. >> And would you say that the Chinese customers are similar to the western customers in terms of what their needs are and where they want their businesses to go? >> At the very high level, absolutely. Relatively speaking, how do you get to that end target, that's where culture difference and social difference and how you orient your habits of doing business is where that difference comes in. But we focus on ... We were very fortunate to have this company that works with us. We have the same mission, same vision, and the same strategy. So we're basically co-founding this and marrying the best technology from both sides of the region together to basically offer to advance the data centers for all of China. For example, China has a very major initiative to revamp a lot of their data center across all provinces. That includes your very rich town like the Beijing and very, very far away regions, and we're very proud that the software can make anything happen. We believe this is a magical combination to basically help the economy and the society. >> And do you think ... Because this is so important, this joint venture, and as you said, we're coming in and doing this the right way in China ... >> Lily: Yes. >> Will this be the blueprint from now on for how VMware sets up its joint ventures? >> Well, this will be the first joint venture we do in greater China, and so far, it's been pretty successful. We are basically writing the blueprint as we go. So one of the key things I love about VMware is just we love creativity and we choose and bet on the right innovation, and we propel and drive and push for that, and we inspire all the country and the regions and the people and the teams around us to do it. So I think this is showing that spirit, meaning that, regardless what the policymaker may say, we believe business and technology, when you marry them in the right way, it's going to make a difference, and will make a revolutionary difference. So we're writing the blueprint as to how to do that. >> How would you describe the differences in the technology cultures of China and the US? Kara Swisher, in her keynote, took Silicon Valley to task a little bit and made fun the buzzy words about how people brag and failing and disruptor and other kind of buzzy things. Innovation, pivot. How would you describe the way the Chinese business culture thinks about creativity and innovation? >> So there is some similarity with western culture, or what you see in Silicon Valley, like what she was talking about. Young generation. They don't understand there is any limit. In fact, that is across genders. I notice a lot of the technology women actually are leading companies and starting companies, and basically, for example, in November, we did a pitch competition with Women Who Code in Beijing, and we focused only on women C-level in the China startup, and we're basically collaborating with local venture company and the VC company to basically choose the most innovative woman leaders in the startup industry, because the country is so entrepreneur, and to some extent, China is growing, and they're basically learning how to basically be really big, and scalability it a big thing. And this is where our technology can come in and our culture, working with them. To basically together make it a better place also comes in as well. So that portion, entrepreneurship is the same. The desire and aspiration, that undying commitment to basically propel the society, those are all the same. I do see a lot of young people, but I also see a lot of the generation, like in my age, basically are coming in with very much a mentoring and a sponsoring attitude to basically help cultivate a younger generation, and very forgiving on that, and so that is something I see, and it does remind me a lot about the focus on the family and the focus on this team working together. >> And is that having an impact on your western colleagues, seeing ... >> Yes, I think it's a little bit of a culture difference, a lot less about yourself. A lot more about, how do I make this work? There's a little bit of a pride in some of these young startup, or even in the age group like me, saying, I am going to help this country to be stronger. I'm going to help the people to be stronger. So they take pride in that as well. And that reminds me a little bit about ... I heard about made in USA, so China talk about made in China, but in essence, it's all the same. You want to take pride with your family. >> A national pride, yes. >> Yeah, you want to take pride with your family, with your national pride, but it doesn't mean you don't want to do business internationally. You still value your international collaboration. Then the key is, how do you go across that culture boundary and focus on the right business problem and the right social phenomenon to solve the problem and the challenges, and just propel the society and the people altogether. >> But that is a good point, that the pride that you feel in your country, someone else from another country feels that same degree of pride for their country, and that's the ... >> Exactly. And sometimes I feel doing this job is not just a technologist job or an R&D job. It's almost like blending the DNA between the two countries and the two cultures together, and how to figure out working together. I know it sounds like a cliche. But when you go ... >> Rebecca: Or a great campaign slogan. >> Yeah, but it's really something that's actually a big challenge, especially with some of the political environment nowadays. But what I notice is when we work together as a group of engineers, we don't talk about those kinds of things. We talk about technology, and we talk about products. We talk about innovation. We talk about customer problems. We talk about how to make the place better. And that's basically what we focus on. Day in, day out. >> Well, Lily Chang, thank you so much for talking to us today. It's been great. >> Thank you very much for having me. >> I'm Rebecca Knight, and we'll be right back with theCUBE's coverage of Women Transforming Technology. (upbeat techno music)

Published Date : Feb 28 2017

SUMMARY :

Brought to you by VMware. coverage of the Women You started out on the advisory board, What is the organization? a lot of the technical women in the industry, but also We focus on very much mid-range ... and sharing all the knowledge, Well, Lily, you talked And that also happens to be skills to help them move up? and how to basically build the team, and that's a non-profit way of helping, in the appropriate setting But it's just you need the same vision as we are. And that is exactly what the hard skills, mixed in Of how to give a better So in some of the meetups, for example, and the age group ... One of the stereotypes Yeah, well, what's your experience? and some of the women are into or like the conference today, of the gender onto the table. And a camaraderie, too, Can you tell us more about it? and combining the and the same strategy. and as you said, we're and the people and the in the technology cultures and the focus on this And is that having an impact or even in the age group like me, and focus on the right business problem and that's the ... and the two cultures together, and we talk about products. for talking to us today. and we'll be right back

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(upbeat music) >> Narrator: Live from Palo Alto. It's theCUBE, covering Women Transforming Technology 2017. Brought to you by VMware. >> Welcome back to theCUBE's coverage of the Woman Transforming Technology conference held at VMware here in beautiful Palo Alto, California. I'm your host, Rebecca Knight. I am joined by Nicola Acutt, she is the vice president of sustainability strategy here at VMware. Nicola, thanks so much for joining us. >> My pleasure, Rebecca, it's great to be with you. >> So I want to start out by talking to you about how VMware is thinking differently about sustainability and devising its strategy. >> Yeah, great. Well, you know, sustainability is something that's not really new at VMware. We've been doing sustainability for many many years, but what is new is we've rethought our strategy and we've rethought how we frame and think about it. And that starts with the business and what we actually do in the world. This is what's really exciting to me, you know. We've done a lot of very responsible things, from the design of the campus here in Palo Alto, which you've seen, our LEED certified buildings and the work that we do in philanthropy and community. And now what we're doing is pulling it all together under this concept of collective impact, and for us, that's about the sum of the parts, and really about ultimately how we leave a legacy and impact as a business, but starting with what we do. >> And I think that that's... What you're saying is so important in this sense of, for corporate social responsibility, that has to start with a business case of why you're doing this, but then there's also this legacy part to it too. So talk a little bit about what you're thinking there. >> Yeah, well, glad you asked, it's a large part of why we have, as we rethought sustainability, we put this role in our office of the CTO. And for that exact reason, because it's about, you know, what is the legacy we create? Not just in our industry, but for the world. So we talk about, you know, my role, in the office of the CTO, it's very much about helping to inspire engineering for impact, so that we, you know, our mission is about creating not just the most innovative software in the world, but for the world. So we think about the impact, the legacy impact VMware has had in the data center, which is one thing I can talk about, you know, the environmental impact of that. But then also looking forward at how we enable access to technology, the platforms really to change the world, whether it's providing solutions for farmers in rural parts of India of Africa or down the street. It's this view of how does VMware's technology help create a better place, a better world. >> Well, just the fact that you were in the office of the CTO is such a dramatic change from so many companies. I mean, when you think about the bad rap that sustainability gets, corporate green washing and things like that, but to put it at the core of VMware's business, that is a very dramatic difference. What was the impetus for that? >> That's a great question. You know, I think before we were talking about, I've been at VMware for several years, and been on a journey myself and what we do, and started working in the foundation. And I've moved into this role in the CTO office. And part of that was about how we came to this perspective of what is the impact that we want to create, and how do we want to go beyond sustainability to collective impact, and that was about this idea of net positive. How do we create a legacy where the sum of the parts are greater than the pieces. And I'll tell you a little story, you know, when I first joined VMware, I remember people describing the impact from an efficiency point of view in the data center, and I was always fascinated by that question. And finally last year we did a piece of work together with IDC to actually quantify that impact, and so for the first time, we were able to get the data and look at the legacy impact that we've had, and the numbers are astounding. When you look at what VMware and our customers have done over the last 13 years, it's the equivalent of avoiding 340 million metric tons of CO2 going into the atmosphere. That's a pretty astounding number, right? So what does that mean? It's the equivalent, we worked it out, it's the equivalent of powering 43 million homes, which is about 43% of US households for a year. >> Rebecca: A year? >> For a year. Isn't that incredible? >> Yes. >> And it was that, so that piece of work was really what helped shift this perspective and our collective realization that, yes, we can do all these great things, from social responsibility, environmental responsibility, in terms of how we run our business and how we treat our people in communities, but probably the most important and powerful impact that we can have is how we use our technology, and the impact that we have on the lives that we change as a result through our technology. >> You are in a panel here at the Women Transforming Technology conference that's all about design thinking. And it's about design thinking in terms of leadership, and your approach to management. But also, your approach to your job and devising, in your case, a sustainability strategy. Talk about design thinking and how it's changed the way you go about things. >> Right, I'm personally a big fan of design thinking, and it's one of those methodologies or experiences, where when you experience it, you really see the power of it. And when we were working in the foundation, the beginning of this work, we pulled in some design thinking experts to help us just frame a problem that we were trying to solve. And that experience really resonated with me, and it stuck with me, and these ideas of how you go from brainstorm big picture thinking to actually impact and outcome. >> So just break it down for our viewers, design thinking, elevator pitch, what is it? >> Sure. So it starts with sort of four key principles. It's about empathy, starting with empathy. Thinking about the problem that you're trying to solve. Thirdly, implementing, so rapid prototyping and then testing again, so lots of testing, before you come to the impact and the outcome. And it's this iterative process, kind of building something, testing it, going back and building it again. But I think the biggest takeaway for me and what I learned about it that I applied to leadership is this idea of empathy. And I think we often think of empathy as feeling sorry for, but it's not, it's really to me, empathy is radical questioning and radically asking yourself, challenging your assumptions and trying to see what others see, and I think it's that, that shift of mindset that's so powerful, and for me, applying that to my work shows up all the time, whether I'm in a meeting, whether I am running a team, whether we were doing the strategy for sustainability, it's constantly asking the questions, asking why. I think that for me is the thing that I really appreciate about design thinking and I try to bring it to everything that I do. >> From a product standpoint, the empathy is for the end user, for the customer, the person who is going to be using the product. But when it comes to creating a sustainability strategy, who are you empathizing with? >> Yeah, that's a... So, you know, again, that this word empathy, I think, is-- >> Rebecca: It trips people up! >> Yeah, because we think it means feeling sorry for, right? But no, it's about seeing the other. Because what we were doing is taking this much wider angle view on sustainability, in other words, it's not about the real estate organization or about turning off the lights in our operations, it's about the whole business. So for me, empathy is about trying to step into other people's shoes, and working with stakeholders across the business, so not just in our real estate operations, but in the business, in HR, in legal, across all of the functions. And asking questions and listening to stakeholders, and really trying to understand their point of view on the business so that I can connect what they care about to, ultimately, the sustainability strategy. >> Talk about design thinking in an approach to leadership. Particularly in light of why we're here, Women Transforming Technology. How does it work when you're on a team? >> Yeah. >> You know, I think it starts with that individual, it starts with empathy always, and the why, and really trying to understand others, the people that you're working with. When I say empathy, I think about trying to see others. And part of seeing others is knowing what their strengths are and knowing what they're uniquely placed to do. So in working with the team, I think that is a great leadership skill, is to really know and understand your team, to build a team that functions really well together. That skill, I think, is irreplaceable in leadership. >> And what about for the person who's being led? So the person who's not quite the manager yet, maybe earlier in her career. How can she use design thinking and empathize both with her colleagues and her customers, but also perhaps her manager too, in terms of not only moving the product forward, but also moving her career forward? >> Yeah, you know, the speaker in the panel we just listened to, Lynn Christensen, talked about the importance of understanding the needs of others and how powerful that can be when you're trying to get work done and have an influence. So she gave an example which I loved about, often where we're trying to prove ourselves, right, especially as young women in the workforce. And there is an important element of confidence and all of those good things that we're talking about here, but I think the other element of what she was getting at is understanding when you're giving a presentation or you're talking about a product or an idea, to think about who you're talking to. And to make sure that, when you think about your message and your presentation, to be designing your talk, to use design thinking, designing your talk with that person in mind, and that can be a really powerful way to have yourself seen as a potential or as a future leader. >> In terms of how you are thinking about VMware sustainability strategy and the way other companies are, what, and I don't want this to turn into a school where other companies should follow VMware's lead, but at the same time, what would your advice be to other companies that are seeing what you're doing and, for example, putting sustainability in the office of the CTO? What other differences in terms of how you approach sustainability could other companies mimic, for the good of all of us? >> For the good of all, absolutely. I think that's a really important question because, you know, I think there's a role for corporate social responsibility and philanthropy and sustainability, and I think every company is unique, depending on their market and their industry, but ultimately, when we think about trying to create a positive impact on the world, and frankly, to address some of the world's most pressing challenges, it really does require the combination of what I talk about, this collective impact, and the skills and competencies a business can bring to that really are in what they offer to the world, and often that isn't necessarily just philanthropy, it could be a combination of those things. My perspective on this is really thinking about where your unique competencies as a company and a business overlap with the world's great needs? And finding that sweet spot is where I believe companies can have the biggest impact. >> One of the other elements of sustainability strategy is making sure that companies are committed to diversity and inclusion, and is there a way that you're working on that here at VMware as part of the sustainability strategy, or is that more of an HR function? I mean, how does it all work together? >> Yeah, you know, the work that we're doing at VMware on diversity and inclusion is very much part of this ethos of collective impact, because it's really pulling and connecting these elements of the work that we're doing inside the company, in different departments, into this legacy of what I call net positive, the net positive impact. So diversity and inclusion is part of that in a really important way, and this is what this conference today is really all about, bringing a community of women together who are passionate and committed to making an impact in technology, and leaving that positive legacy. And so for me personally, today's really quite poignant, actually. I'm a mom, and I'm also the daughter of a farmer, and I'm going to get choked up. (laughter) And a school teacher. >> And you're going to meet Gloria Steinem later today, Nicola. I don't know if I can pile on, but-- >> Well, this is what's so poignant for me, is I grew up in the shadow of apartheid, and I think, and a very patriarchal society by my mom, was very influenced by Gloria Steinem. And her fierceness about education for girls was really ultimately, I think, had an impact on me not only finishing high school, but going on to get a four year degree and a PhD, and ultimately, you know, South African woman finding herself in Silicon Valley today. >> Right. >> Is a testament to Gloria and to my mom, and all the women who have forged this path for us. And so today is an opportunity, I think, in some ways to say thank you, me personally to say thank you to Gloria and those women who have forged the path, but I think today's also important in the recognition that there is this community that is growing, a community of women who are having an impact in technology. But I think the other element is that we realize that our work is not done. And that's what today is all about, is this community of women who are carrying the torch because our work isn't done. >> So yes, I mean, there is that balance. There's this gratitude, on one hand, of our forebears and what they've sacrificed for us to be where we are. But then at the other hand, particularly as you said, you grew up in the shadow of apartheid, and now you have Donald Trump as president, and we're hearing a lot of... (laughs) Of scary notions coming from the White House right now. So there is also this other side to it, which is feeling anger and a real mobilization to rise up. >> Yeah, Kara was really eloquent about that this morning, and I think it's complex, right? This is multiple facets and multiple forces at play. But at the end of the day, I think it is really really important to be clear about our values, and to be clear about the impact that we want to leave in the world, and finding a community of people around which to focus our energies. >> Perfect words to end on. Nicola Acutt, thank you so much for joining us. >> My pleasure! >> I'm your host, Rebecca Knight, we'll return with theCUBE's coverage of Women Transforming Technology here at VMware. (upbeat music) (ominous music)

Published Date : Feb 28 2017

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>> Narrator: Live from Palo Alto, it's theCUBE, covering Women Transforming Technology 2017, brought to you by VMware. >> Welcome back to theCUBE's coverage of the Women Transforming Technology conference held at VMware here in beautiful Palo Alto, California. I'm your host, Rebecca Knight. I'm joined by Yanbing Li, who is the senior vice president and general manager for storage and availability here at VMware. Thank you so much for joining us. >> Thank you for having me, Rebecca. I'm so excited to meet you actually. I've done quite a few CUBE interviews. >> You're a CUBE veteran, yes, I know. >> But you're the first female host I got to talk to, so really excited meeting you. >> Well, the pleasure's all mine. >> Thank you. >> So Business Insider calls you one of the most powerful women engineers in the world, in Silicon Valley. It's exciting to be talking to you. VMware is committed to diversity and inclusion. We're here at a Women Transforming Technology conference. You're hosting the conference. Talk a little bit about your experience and what you're involved in, in terms of that emphasis on diversity and inclusion here. >> Yes, certainly being a part of VMware and certainly being a female engineering leader myself, this is very near and dear to my heart. My experience, actually involvement in women leadership initiative started many years ago when I was actually based in China. My career at VMware, I've been here for nine years. >> You led the Chinese operation for a while. >> Yeah, I was leading the China engineering operation in China for a few years, and when I was based in China, I started a series of women technology conferences in Beijing. So we started in 2011, and that quickly turned into an industry event, kind of very similar to what's going on here at Women Transforming Technology. So this has been certainly close to my heart, and I've been involved in starting the initiative in China. And when I moved back to Palo Alto, I have been part of the VM Women initiative. I was part of a dialogue circle, and this year, we expanded the initiative, or since last year, from just the women focus to now a much broader diversity focus and certainly being Chinese myself, I'm also representing the Chinese community at VMware. We have a Chinese VMware circle that create that community feeling for all the Chinese and Chinese Americans working at VMware. >> Can you talk a little bit about what you've observed with the women in China and the women here in Silicon Valley? Are the issues the same? Is the culture similar? What are your experiences? >> I think there is a lot more similarity than differences. China, there has been a stronger emphasis of women contributing to the society for the past 50, 60 years, so you see a higher percentage of women working. You see a slightly higher percentage of women in tech. But the issues are still the same. You know, how we deal with stereotype of women, especially how we overcome unconscious bias and how we overcome the lack of women in technology and lack of women in leadership. I think these issues definitely transcend culture and community. It was interesting, we hosted an APJ discussion on diversity. >> In China? >> In Sydney. >> Okay. >> So this was part of our APJ initiative. And there were tables of people from different countries talking about the women issue, the gender issue. And the simple question was, is there a glass ceiling in your country? And I guess every country's answer was yes, except for the country, the table of Japan because their answer was they didn't have a glass ceiling, they had a steel ceiling. >> Yeah. (laughs) >> But you get the point is, yeah, this is a issue that's everywhere. >> And did you find that your Chinese colleagues in China were as mobilized to work on them and to make changes? >> Yeah, I think definitely, you see that coming down from the leadership level. I think when you have initiatives like this, often sometimes, you have grassroot initiatives, but it's much more important to up-level that to a business focus. And I think that is what VMware is doing by starting VM Women several years ago and now extending that to VM Inclusion. At VMware, the leadership team definitely see this as a business imperative rather than just something we want to do good to the society. So there is a balance of trying to do good but also trying to do smart. You know, how we move the needle from a business outcome point of view. You know, we've been very open about our diversity data. We've been tracking them as part of leadership MBOs, so I'm excited to see the levels of investment and emphasis that VM as a company is putting on. >> As a leader, you are a senior vice president here. How do you make sure that you are, you're a woman, you're a Chinese woman, but we also know that we're not immune just because we're women to subtle biases, to discrimination. How do you work on yourself in your day-to-day practice as a leader and a manager? >> Yeah, I think it's... Along our career, we've seen a lot of things like sexism or how people apply unconscious bias toward women and certain stereotyped view of women. I think we've all experienced that. And just the, I can think of lots of examples on a daily basis. I was having dinner with a male coworker, which is a very important way for us to build strong relationships. >> Relationships, yeah. >> And as we were eating, we were mistaken as on a date. There's all these subtle things that reminds you somehow people see women not necessarily, even if you're having a business setting, they tend to not assume the same. So I think that's happening all the time. So my approach towards this has been recognizing that it happens and have a good way to defuse it because most people are doing it in a very unconscious way. And when you have a way to defuse it, you help have a positive impact on that person. Give you an example. I think for women, we are constantly introduced as a woman something. One year, I was speaking at an event, and when we were doing the rehearsal, a senior leader was introducing me as a woman engineering leader. So I just gently said, "Hey, look. "People can tell I'm a woman. "You don't have to say it." >> The dress gives it away. >> Yeah, and that made him become aware. Yeah, that's, the merit you're standing on that stage is not because of your gender or shouldn't be limited by your gender, rather than because of the message or the business or the technology that you're bringing to the audience. >> But that's not always easy for people to do, to use humor to defuse the situation. We just heard from Kara Swisher, the founder of Recode, and one of her pieces of advice was to be authentic, be genuine, be an original. Your Twitter handle is ybhighheels. I love it. I love it. >> Yeah. Thank you. >> But it is this mix of professionalism and femininity. Is that hard to do? Is it hard to pull off? >> It is hard, and I have debated over and over. Where I got my Twitter handle actually, one of my coworkers, my team members from many years ago said to me, "Yanbing, you're the high tech girl "in high heels." And I kind of liked it. It felt like very me. But there's been lots of people telling me, Oh, is that really good? Is that insulting? Or is that demeaning of the levels of the position, the type of job you have? And I actually felt otherwise. First of all, it is fairly authentic of me. If people who, I remember when I was leaving one job and my male boss was commenting, saying, "Yanbing, you didn't leave very big shoes to fill. "You leave very high shoes." >> Very tall shoes. (laughs) >> To fill. So I'm known to like high heels. And people, and I've also learned that once you establish your competence, this does not become something that is negative. And I've seen increasingly your colleagues or coworkers, people around you, want to embrace who you are rather than penalize for who you are, as long as you're confident about who you are. So I find that, yeah, having lots of fun with my Twitter handle. >> Right. Right, right. But as you said, as a woman, you have to also have proved yourself and that you are smart and just 'cause you wear high heels and you like high shoes, you also can get the job done. >> Yeah, and it's not just high shoes or whatever shoes of choice that people have. Yeah, and we are most comfortable and most successful when we are truly authentic to ourselves. >> Being who you are at work, at home, and in your private life. >> Yeah, yeah. >> So talk a little bit. The last time you were on the show, you talked about the hyper-converged world. Can you give us a little bit of an overview of what's going on in the software space and what you're working on now? >> Yeah, it's a very exciting time. Certainly as part of the storage business unit, a key initiative that we're working on is vSAN. This is VMware's leading product in a hyper-converging infrastructure. And what we're seeing certainly is this fundamental disruption that's going on in storage and data centers and infrastructure in general. And if you think about what is one of the highest gross market segment that's happening in a data center and infrastructure today is actually hyper-converge. As a market, this is quickly disrupting the traditional way of delivering storage, and it's growing at 60% for the next few years. And we as a business has been growing triple digits. Last year, we almost tripled our the size of the business, and we're seeing tremendous customer momentum and tremendous customer adoption and seeing hyper-converged is really becoming a mainstream way of delivering infrastructure to our customers. So a very exciting time. >> It is exciting, and yet, it's hard to think beyond hyper-converged because if everything then becomes one, what's next? What do you see down the pipeline two, three years from now, in terms of how businesses deal with their storage? >> Yeah, so certainly VMware are, being a leading infrastructure software vendor, we're going through a fundamental transformations of providing not just the best in class software for your data center, you know, how we modernize it, how we provide higher levels of automation in the private cloud but increasingly, there is a shift towards service-based consumption and cloud-based delivery of infrastructure. And I think the same thing is happening in the storage space. You know, certainly, with a hyper-converged infrastructure, not only we see a highly, high degrees of integration, automation, but we're also seeing the same architecture is extending into the cloud. And as we look at the cloud, we also constantly think about how do we take the value prop of just building the best infrastructure, the best storage, take that infrastructure plate now to an application plate or a data plate. And certainly, from a storage side, we're increasingly focusing on how we make data better managed, better governed, how we provide more insights through data. So taking that storage levels of innovation to focus on data. >> Understanding what the data is telling you and making that data work for customers. What are you hearing from customers in terms of what is keeping them up at night? >> Keeping our customers are all facing the challenge of how they keep up with their business demand. As we look at it, every company is now being transformed but into a digital business, and suddenly, the role of IT becomes so much more interesting and exciting and it's really about enabling business. And so, that put demand on how you deliver things in a much more agile fashion, how you keep costs down so that you can invest for really where the business value at is, and how you can ready yourself to adopt a new way of building your application for the future. So these are the typical challenges that we hear from our customer, is really to keep up with their business demand. And we are certainly excited to see VMware is playing a very vital role in helping solving our customers' digital transformation challenges. >> So the role of Silicon Valley looms large in our business world and also just in our imagination. What do you think the media get wrong about Silicon Valley? Or just, what do you think is the line out there that you wish you could dispel in the sense of this is not right, this is not the way it happens? >> Yeah, so I have lived in Silicon Valley for the past 20 years, except for a few years where I was back in Beijing. I decided to move back because I just feel for being someone in tech, this is really just an amazing place to live in. >> To be at the center, yeah. >> And it's definitely the epicenter. I have three children, and I just see how privileged they're growing up, being exposed in this very dynamic, innovative, vibrant environment. So this is what I absolutely love about Silicon Valley. But on the other hand, when you go outside the world, I do think it feels like it's almost like a little ivory tower. You know, there's so much technology, so much access, so much wealth being created here. Sometimes, we tend to forget life is different outside Silicon Valley. And so, I think having that perspective is very, very important. >> In terms of, you mentioned you're a mom, what do you wish for your children? I don't even know if you've got daughters or sons, but in terms of just getting back to why we're here, breaking barriers is a theme of this year's conference, Women Transforming Technology, what barriers do you want to see broken for your kids, for the next generation? >> Right, I'm excited. My kids, certainly being a part of Silicon Valley and being in this very dynamic environment right now, I think there is incredible levels of awareness in them about what's going on in the world. It was funny, I was just talking to my son. He's got a new shirt, and he's 13 years old. And I didn't know where the shirt had come from because I didn't buy it. That turned out, it's the first shirt he bought using his own money, and he bought a pink shirt. And he told me that he wanted to get a pink shirt because he wanted to break the gender stereotype. And I certainly wasn't thinking anything like that when I was 13 years old. And this is just being exposed to certainly what's going on in Silicon Valley, being exposed to working parents and being exposed to what's happening in the political arena, that led him to make a very interesting choice. And I have two 11-year-old girls, and I wish they can grow up, they love technology to begin with. Their Christmas wish was to build all of their Christmas cards using some online language. And so, we all got these electronic animated things from my girls, and they want to write video games. And so, I wish they grow up in an environment feeling when they have that social awareness, being female does not create a barrier for them to pursue what they love because they genuinely are excited and interested in technology. And I'm hoping that's the environment we're going to help create for them, but I'm also very excited to see, at a very young age, they have demonstrated levels of awareness that I certainly didn't experience when I was young. >> And just speaking about that level of awareness and you brought up politics and sort of what's happening on the national stage, so much about this administration really does go against what are core values of Silicon Valley and particularly in terms of immigration, in terms of gender issues, transgender rights, gay rights. Do you feel that Silicon Valley will take a leadership stance on these things and stand up? >> I think we should. We should because Silicon Valley has benefited tremendously from the success of our technology and success of our businesses. And so, with that, we have incredible power, incredible platform that's being. >> And a voice. >> And a voice, being created out of Silicon Valley. I think, yeah, we should play a role in advocating for what we believe in, just like VMware and other partner companies are taking a leadership position to advocating women transforming technology, the role women play in Silicon Valley and in technology at large. I wish all of the companies here have the willingness and you know, to really stand up for what we believe in. Yeah, so given the power that we have and given the influence that we have, not just in this country but all over the world. >> Yanbing Li, thank you so much for joining us. This has been a pleasure talking to you. >> Thank you, Rebecca. I'm so glad to have spoken to you. Thank you for having me back at theCUBE. >> Thank you. I'm Rebecca Knight. We'll be back with theCUBE's coverage of Women Transforming Technology here in Palo Alto.

Published Date : Feb 28 2017

SUMMARY :

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>> Commentator: Live from Palo Alto, it's theCUBE, covering Women Transforming Technology 2017, brought to you by VMware. >> Welcome back to theCUBE's coverage of Women Transforming Technology here in sunny Palo Alto at the VMware conference. I am Rebecca Knight, your host. I'm joined by Josie Gillan. She is the Senior Director of Engineering at Cloudera and a passionate advocate for getting more women into technology. Josie, thanks so much for joining us. >> Thank you very much for inviting me. Pleasure to be here. >> So I want to start out by asking a question that should be obvious but it may not be. Why do we need more women in technology? >> Right, so that's the classic question and I think I probably would have the classic answer which is just so many studies have shown that diversity results in much better products, much better ideas and we've found numerous stories where products were developed by mostly white males and they just have actually alienated many, many of their customers, right? So it's definitely that we need to have that diversity and I think 50%, 51% I think actually, of the population is women, right? So let's not disregard half of them. I just think women have a lot to offer and a lot to add. It's a generalization, but women generally are more collaborative and supportive so it's the right thing to do and obviously the numbers in tech are just so far skewed off what the actual numbers and population are that it's time to continue to do something about it, but it's hard. >> I want to talk to you about what you just said about women in their approach to work, their approach to being on a team. You said they're more collaborative. You were talking a little bit earlier about EQ and the importance of EQ. Can you comment on the perspective that women bring and the approach that they take to being on a team that is different in your experience? >> It's just that women are generally probably, again I'm really generalizing here, but the way that women network with each other and support each other and generally want to touch and connect, I think that's a lot of what it is about networking. So for example, again this is not all women, but in 101s and meeting with your fellow peers, I think connection is really important and building the relationships and probably being a little more vulnerable I think is really important rather than the stoic I'm here to get what I need. I think women generally tend to say, "Okay, what can we get together?" And I think that's a natural trait that women have, but again purely generalizing. >> In terms of Silicon Valley, you've been around at a lot of different companies. You built your career here. Is it better? Now also particularly now at a time where we are hearing so many horrible stories about overt sexism, everything from subtle biases to overt sexism and sexual harassment. What's it like? Tell us the tales from the trenches. Do you have? >> Well, first of all, I think you were going to start to say, "Is it getting better?" >> Rebecca: Yeah. (laughs) >> Unfortunately it's not and there's a lot of studies to show that. What I think is changing though is that we are talking about it more and more starting with I guess it was two years ago and there was this grassroots effort after one of the Grace Hopper Conferences to get companies to actually publicize their diversity data so I think that's number one, right? That we're actually getting companies to say what their numbers are, both for gender and people of color, right? >> Rebecca: So the first step is really awareness that there could be a problem. >> Exactly. And then that there's a lot of companies investing in and obviously hiring a diversity inclusion leader. I've been at Atlassian before I came to Cloudera and Atlassian is a great company, got some really good two CEOs who really believed in diversity but again like other companies, the numbers were pretty, pretty bad. And it was in Australia too, probably you knew that. I actually moved to Australia for a year and I think it was very young. It was not only not so diverse on the gender but also very young which is again very common in tech companies, but they've gone and hired a diversity inclusion leader and she's doing an amazing job at bringing in more programs, getting awareness out there and trying to make a difference, but it's not an easy job. I think she's doing amazing. I think our folks at Cloudera are doing amazing. Salesforce is doing amazing. There's awareness but it's a very difficult issue. >> So that's the hiring part of it, it's bringing more women in. What about the culture too? We were talking earlier too about the supportive environment and supportive leadership. What will it take for a big cultural shift in the technology industry? >> So when I came back, basically this is my story, is I'm from New Zealand originally but I've lived over here, I moved to America in '98 and worked for several different companies, Oracle, Salesforce and thought always hey I wouldn't mind going back home and being closer to my family so we actually moved to Sydney for a year and that's where I worked for Atlassian which was a really interesting experience, but it made me realize that the bay area was home and I think the culture of Silicon Valley is something that you can't get outside of Silicon Valley. >> For better or for worse. >> For better or for worse but again, back to that collaboration, in Sydney there's not that many tech companies, right? So I didn't find that collaboration. These kinds of events were very, very rare and especially in engineering, right? I could meet people who worked for the Google office in Sydney, but they're more in nontechnical roles. I mean, there were some. So when I came back, it was really important for me to find a company that again, as you mentioned, had that high EQ and a really good culture and what I mean by that is not it's got a free lunch. Cloudera has free lunches, but that's not what attracted me to Cloudera. What attracted me to Cloudera was talking to my manager is the SVP of Engineering and my peers are all VPs of Engineering and it was the conversation in the interviews that really were conversations and just very, very respectful and it wasn't all about this is what I do and this is what you must do. It was about a collaborative conversation. And one thing I really got from talking with both my manager and my peers was that they really were out to support each other. And one thing I think is amazing about the culture we have at Cloudera is that what will happen is I'm leading quality, performance, build and infrastructure and quality is at the top of our list at the moment. We can always improve on quality and we had an extraordinary developer in one of my peer's teams who wanted to come and help with quality problems. Now normally what would happen is the development VP might say, "I don't want to leave him." >> Yes, there are silos. >> But he was like, the development VP was, "Well, really sad to lose him, "but this is a much bigger problem and I'm going to help him. "I'm going to help him move." And I think that is a really interesting leaderships style that isn't prevalent throughout Silicon Valley which is I'm going to do what's good for the company and the overall good of the company and just what's right rather than particularly my own. >> Rebecca: My department, my unit. >> My own turf, yeah. And what we want to do at Cloudera is bring that further through the chains because as a company, as it's growing, we've got many different product teams and we want to make sure that that collaboration goes across the development managers, the quality engineering managers to really learn from each other and support each other. Your question is how do we, that to me is very, very important and I think we need to start talking about it and we need to showcase companies that do it well. We've actually gone through one of those personality tests or it wasn't actually a personality test, what drives you whether it's more strategic or problem solving, people are into the process, and I think those are really good things to do so that you can all work to communicate with each other and work with each other. >> You mentioned earlier that one of the things about working in Sydney that struck you is that conferences like this one, the Women Transforming Technology, are rare. Why are they so important do you think? >> Oh right. I've been to the Grace Hopper Conference four times. You're so used to being the minority. You're so used to being the minority and it's fantastic to come to a conference like that where you're not the minority anymore. And I think one thing that's extraordinary, have you been to the Grace Hopper Conference? >> Rebecca: I have, I was there in Houston in October. >> One thing that I find extraordinary about the Grace Hopper is the camaraderie. And you'll be lining up to get a coffee and just the people that you'll start a conversation and I've actually made some really, really great friends from Grace Hopper that I still keep in contact with and it's the networking and oh hang on a minute, she's having the same problem I'm having. >> Are these professional problems that you're facing or are these strategic? >> A bit of both. It could be technical problems. A lot of it's how do I get a team to collaborate on something. It's how do I overcome my imposter syndrome? How do I be a good leader? And the connections you make. I really feel that you can truly be yourself and I love what Cara was just saying before about being authentic and being genuine. I think something like Grace Hopper is somewhere where you can truly, truly feel authentic and genuine. The thing for me is it always gives me a great big confidence. I just feel great after these conferences and I'm inspired to just go back and really continue to move the needle. >> This is a women's conference. It's mostly women attending. If you could send a message to the men of Silicon Valley, what would it be? If you could just gather all of them in a room and say give them some advice about either helping a young woman in her career or just hey fellas know this. >> I think the big advice is listen, right? Were you at the Grace Hopper Conference two years ago? >> Rebecca: No I wasn't, I missed that one. >> I'm not sure if you heard about the male allies panel, but it was interesting because basically there's a male allies panel which was done with all good intention, but it got a lot of flak because why the hell am I flaking about the space and what the people who were on the panel did which was really interesting is they actually created a second panel the next day and said, "Okay, we're going to shut up. "We're going to listen." And it's really quite hard. For all of us in technology, we're all used to solving problems and we want to have our say and to get them to be quiet and listen is so important and not try and solve the problem, just try and understand and Cara was just saying that before, right, about some of the stuff that's going on with Uber and everything is some of the males she talks to say, "But I don't see it." Well of course you don't see it because you're not experiencing it, right? So listen, talk to women and make it very clear that it's a safe space and that you're just here to listen and you're not going to try and solve the problem, but try and get an understanding because they're in a very, very different space than we are. >> The story that's going on with Uber, it is depressing as a woman, as a woman in technology in Silicon Valley particularly just a couple of years after the Ellen Pao lawsuit. Are you hopeful that things will get better? >> I'm hopeful things will get better. It's brave women like Susan who are they telling their stories. We need to support each other and really support people like Susan who were brave enough to say that and obviously now because she's done it, a lot of other people are coming forward and Uber has to take some responsibility and has to do something so I'm hopeful it's getting better because we're talking about it a lot more, but it's a very, very difficult situation and the more we talk about it and there's people who are a lot smarter than me and a lot different, who are very experienced in this kind of social issue to be able to figure out how the hell we address this, but a lot of it is to get the conversation going and as I said to listen. >> If you could give a piece of advice to the younger version of you, that young girl in New Zealand dreaming of a career in technology, you mentioned imposter syndrome, what would you say? >> Getting back to Cara's talk, she talked about don't worry so much about what people think of you. >> Oh that's so hard though, it's so hard. >> And I remember gosh in my early days in my career, I was sitting there and I can't say anything. I really want to say something but I'm going to look stupid and it's like be curious. I think that's my best advice. What I love when I'm interviewing, I've done a lot interviewing of college grads and what I'll do is see what questions they ask so I think you don't have to have all the answers and you don't have to show I'm the best Java programmer there is, but oh tell me about this and I really love that your company does this and how do you approach this kind of problem? And just their thirst for knowledge and that curiosity and their eagerness to learn, I think it's really important to ask questions. And I think that's a good way to get over the imposter syndrome because you're not necessarily coming up as like I'm trying to be an expert on something, it's like I'm trying to contribute to conversation and help me understand and I think it's a really good way to get people out there and getting people talking. >> So be curious, don't care so much what people think of you. >> Josie: Right, right. >> You don't have to be the smartest person at the table. >> And build your network and especially if you see somebody in a meeting that handled a particular situation very well, I think it's really great to be able to go up to them afterwards and say, "Look, I loved how you said that. "Can you maybe chat to me about how you came up with that? "'Cause I'd love to learn from you." There's a lot of this talk about mentorship and I think it's really true that Sheryl Sandberg says it's not really the best way to say, "Could you be my mentor please?" But to actually just say, "I love this." >> Ask for advice. >> Ask for advice and very few women would say, "I don't want to talk about that." Most women are like, "Wow that's great," and want to be able to help out the younger generation. >> Josie Gillan, thank you so much for joining us. It's been a pleasure talking to you. >> Thank you so much. >> I'm Rebecca Knight for theCUBE in our coverage of Women Transforming Technology. We'll be right back. (modern techno music)

Published Date : Feb 28 2017

SUMMARY :

brought to you by VMware. and a passionate advocate Pleasure to be here. that should be obvious but it may not be. and obviously the numbers in and the approach that they and building the relationships and sexual harassment. and there's a lot of studies to show that. Rebecca: So the first and I think it was very young. and supportive leadership. and being closer to my family and this is what you must do. and the overall good of the and I think we need to that one of the things and it's fantastic to come Rebecca: I have, I was and it's the networking and really continue to move the needle. to the men of Silicon Valley, I missed that one. and to get them to be quiet after the Ellen Pao lawsuit. and has to do something so I'm Getting back to Cara's talk, and their eagerness to learn, don't care so much what You don't have to be the and I think it's really true and want to be able to help It's been a pleasure talking to you. in our coverage of Women

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Kickoff - Women Transforming Technology 2017 - #WT2SV - #theCUBE


 

>> Narrator: Live from Palo Alto, it's theCUBE, covering Women Transforming Technology 2017, brought to you by VMware. >> theCUBE's coverage of Women Transforming Technology, held at VMware's campus here in Palo Alto, California. I'm your host, Rebecca Knight, joined by Jeff Frick. We are here at the conference. It starts today. It's a one-day event. >> Right. >> And we just heard Kara Swisher, who is a journalistic hero of mine, and she gave a great, rousing, funny, timely, topical, political keynote. What'd you think? >> Well, she's been covering for so long. I read aol.com way back when, and I actually did an internship at AOL, I think in '96, back in the days when they were shipping, shipping CDs, so it's so fun to put her together with kind of that. >> Right. >> Seminal moment in time. >> She's a veteran. Exactly. >> She's terrific. She followed the characteristics that she outlined in her keynote, which is be true to yourself and don't be an asshole but don't really care what other people think. Be true to yourself. And she was that through and through. It's the first time I've actually ever seen her speak. It was a lot of fun. >> She's a great, really dynamic, funny, self-deprecating but also a bit of an ego herself. >> Oh, absolutely. >> I enjoyed particularly, as a fellow journalist, how she took Silicon Valley to task a few times, just talking a little bit about the naval gazing the Silicon Valley does, how badly they want to talk about the products and the process when really, the end users pretty much just care about, does it work, what's it going to do? >> Right, and two, it's kind of good news, bad news. With Trump, it's a never-ending source of good content for journalists, never have to wake up in the morning and think of a hard story to cover. And now, what's going on unfortunately with Uber, which as she said, is like somebody falling down a flight of stairs and they just keep falling and falling and falling. Big post that came out last week on LinkedIn, it got pretty viral, widespread, and then apparently another one and lord knows, I'm sure there's plenty more to go. And she really called out that she's trying to make people take a stand publicly against things that are not right and to really take a position, use your position of power to try to, as she said, help people with afflictions and afflict people that don't need the help. >> Yeah, comfort. >> Yeah, comfort those with afflictions. >> And afflict the comfortable. Yeah, no, I think it's a great point, in terms of here you Silicon Valley captains of industry, you are powerful people, you run powerful companies, act like it. >> Right. >> Act like it. And take up these causes that Trump is certainly taking up and particularly since they are so core to the values of Silicon Valley. These are gender issues, immigration, gay, transgender, and start taking a stance and stand up. >> Right. And so, we're excited to be here. This is, I guess, the second time they've had the Women Transforming Technology conference. We actually covered a VM women at a VMware show a couple years ago, and the Clayman Institute was there. So we're excited to be back. A full day of interviews, really glad to have you out and again, welcome to California from the East Coast. >> Thank you so much. I'm thrilled to be here. >> But it's a full line-up. We're going wall to wall and ending the day with I know someone that you're really looking forward to. >> A feminist icon, Gloria Steinem. And I also think that kudos to VMware and to the other sponsors of this conference for choosing her. She's not an obvious choice for a Women Transforming Technology conference closing address, but she really is going to take on so many of these important issues of the day. >> Okay, so any particular guests that you're most excited about today? >> I mean, there's so many. I am excited to talk to the women at the Clayman Institute for Gender Research. >> Yeah, Lori's fantastic. >> Yeah, Lori's going to be fantastic. Yanbing Li, she looks really interesting and a dynamic speaker, I know she's been on theCUBE before. >> Right, right, many times. >> Yeah. >> Alright, super. Well, I think they are just about ready to get out of the keynote, so we should probably. >> Excellent. >> Get ready for our first guest. >> Thank you so much. Great. >> Alright. >> We'll see you back here soon.

Published Date : Feb 28 2017

SUMMARY :

brought to you by VMware. We are here at the conference. and she gave a great, rousing, so it's so fun to put her together with She's a veteran. and don't be an asshole a bit of an ego herself. and think of a hard story to cover. And afflict the comfortable. are so core to the values really glad to have you out and again, I'm thrilled to be here. and ending the day with And I also think that kudos to VMware I am excited to talk to the women at Yeah, Lori's going to be fantastic. just about ready to Thank you so much.

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Yael Garten, LinkedIn | Women in Data Science 2017


 

>> Announcer: Live, from Stanford University, it's the Cube, covering The Women in Data Science Conference, 2017. >> Welcome back to The Cube, we are live at Stanford University, at the 2nd annual Women in Data Science Conference, this great, fantastic one day technical conference. And we are so excited to be joined by Yael Garten, who was one of the career panelists. Yael, you are the Director of Data Science at LinkedIn, welcome to the cube. >> Yeah, thank you, thanks for having me. So excited to have you here, everybody knows LinkedIn. My parents even have probably multiple LinkedIn accounts, but they do. You've served, what 400 and plus million accounts, I'd love to understand, what is the role, what's the data scientist's role in the business overall? >> Yeah, so I guess when people ask me about data science, what I love to kind of start with is there are a couple different types of data science. And so I would basically say that there are two main categories by which we use data science at LinkedIn. If you think about it, there is really data science where a product of your work is for a human to consume. So using data to help inform business or product strategy, to make better products, make more informed decisions about how you're investing your resources. So that's one side, which is often called decision sciences, or advanced analytics. Another type of data science is where the consumer of the output is a machine. Alright so rather than a human, a machine. So basically they these are things like machine learning models and recommendation systems. So we have really both of those. The second category is what we call data products. And so we use those in virtually everything we do. So on the data products, much of LinkedIn is a data product, it's really based on date. Right, our profiles, our connection graph, the way that people are engaging with LinkedIn helps us improve the product for our members and clients. And then we use that data internally, to really make better decisions, to understand, you know how can we better serve the world's professionals, and make them more productive and successful? >> Right, fantastic, so tell us a little bit about your team. It sounds like it's sort of broken into those two domains. You must have quite a, a large team, or a lean team? >> So yeah, we have, the way we have our team is that we work really closely within all of our product verticals, and we embed closely with the business, to really understand kind of what are the needs. And then we work very cross-functionally. So we will typically have in any group, sort of a product manager, and engineer, a designer, a data scientist, often it's from both kinds of data scientists. So sort of one on the analytic side, one on the machine learning side. Right, marketing, business operation, so really very cross-functional teams working together, using this data. >> Very smart, it sounds very integrated from the beginning, where they kind of by design-- >> Yes. >> So that collaboration is really sort of natural within LinkedIn? >> Yes. >> That's fantastic, very progressive. And certainly it's something that everybody benefits from. >> Yes. >> Right because as whether you're on the advanced analytic side, or on the machine learning side, you're getting exposure to the business side, vice versa, which, that's really a great environment for success. >> Yes, yeah and part of, I think, what I love about LinkedIn is actually our data culture, and how kind of data is infused in the culture of how we do things. >> Right, which is really-- >> Right, not always the case. >> It's not, and it's, cultural shifts have, we were talking about that with a number of guests today, and especially the size of the organization, that's tough. >> Yael: Yes. >> So to have that built in and that integration as part of, this is how we do business is, really you can imagine all the potential and possibilities there. So would love to understand, how is LinkedIn using data to recommend ways to evolve products and services to best serve all of it's members? >> Yeah, so maybe two different examples of how we do this, one is, what we do is every launch that we have, so every feature that we generate, we really do it at an online experimentation setting. So we have a certain feature that we're about to roll out to our members. And we want to make sure that it's a better experience for our members. And better, as measured by kind of the metrics that we've defined in terms of measures of success. And so, which is really aligned to what value we believe we're delivering our members and customers. And so when we roll out features, we'll roll it out to a certain percentage of our users, test the downstream impacts of that, and then decide, based on that, whether we actually roll that feature out to 100% of members. And so that's one of the things that my team is heavily involved in, is really helping to use that data to make sure that we are structuring things in a way that's statistically sound, so that we can measure the impacts correctly, of rolling out certain features. So that's kind of one category of work. And the other category is really to, to do sort of opportunity identification, and kind of deep-dive insights into understanding into a certain product area. Where are there opportunities to improve the product? So one, let me give you a high-level example. One of the ways we might use data is to say okay, Are certain members in certain countries accessing via iOS or Android? And if so, should we be developing more in differentiating between iOS and Android apps? It's one simple example right, where we'll actually decide our R&D investments, based on the data that we're seeing in terms of how people are using our products and do we think that that's important enough of an investment to improve the products and invest in that area? >> Wow very, very smart. What are some of the basic ways that data scientists can deliver more value for their stakeholders, whether they're internal stakeholders, across different functions within the organization, or the members, the external stakeholders? >> Yeah, I think one of the most important things is to really embed closely into these kind of functional or domain areas, and understand qualitatively and quantitatively, what's important. Right, so understanding what the business context is and what problem you're trying to solve. And I think one of the most important that data scientists play a role is actually helping to ensure are we even answering the right question? So as an example, a product manager might ask a data scientist to pull certain data, or to do a certain analysis, and a part of the conversation and the culture has to be what are you trying to get at? What are you trying to understand? And really thinking through is that even the right question to be asking? Or could we ask it in a different way? Because that's going to inform what analysis you do, right what, really what, how you're delivering the results of this analysis to make better decisions. So I think that's a big part of it is, having this iterative process of doing data science. >> Really, it sounds like such and innovative culture, and you're right, looking at the data to determine is this the right next step? Is it not? How do we maybe adapt and change based on really what this data is telling us. If we kind of look at collaboration for a second. You talked about the integrated teams, but I'm wondering how do you scale collaboration within LinkedIn across so many businesses and engineering stakeholders? >> Yeah, so the way I kind of like to think about it is, there's really, you have to invest in culture, process, and tools. So let me start from the bottom up. So on the tools or technology, one of the ways to do it, is actually to create self-served tools, to really democratize the data. So first of all investing in foundations of really good data quality, right, whether you're creating that data yourself, or you're collecting that from externally, from different organizations. Once you have really good data quality, making sure that you have foundations that enable self-serve data basically. So for example, some of the things that data scientists are used today in various companies, really doesn't need a data scientist if you've invested in ways where business partners, let's say, can quarry that data themselves. So they don't need a data scientist to be doing this role. So that's an important investment on the technology side. In addition, making data scientists really productive, by using and investing in tools that will enable them to access the data is really important. So once you have that sort of technology, it enables your data scientist to be productive. The process is really important. So just as an example we have a sort of playbook in terms of how do we launch features? And part of that is kind of bring in data insights, in terms of which features we should be building. And then once you've determined how using the data on those insights, it's okay how are we going to launch this in terms of experimental design and setting? And then what are the success metrics? How are we going to know that this actually a good-- (speaker drowned out by crashing sound) And then once we've launched the experiment, analyzing that, where all of the stakeholders are part of this right? The project manager, the executive, the engineer, the data scientist, and then kind of iterating on the results and deciding what the decision is. So having actually a process that the whole team or the company abides by, really helps at having this collaboration where it's clear what everyone is doing and kind of what's the process by which we use data to develop and to innovate? And then finally culture, I think that's such an important part, and that really needs to be sort of bottoms up, top down, everywhere. It really needs to be a community and a culture where data is discussed and where data is expected, and where decision making really is grounded on, on data. I fundamentally believe that any product being developed, or any decision being made really should be data informed if not data driven. >> Right absolutely. One of the things that I'm hearing in what you're doing is enabling some of business users to be self-sufficient. So you're taking that feedback and that input from the business side to be able to determine what tools they need to have and how you need to enable them so that you've got your resources aligned on certain products. >> Yeah, just as an example, one of the things that we do for example, is we realized over time that, this isn't actually productive, and how do we make ourselves scale, so we started doing data boot camps, for example. >> Interviewer: Okay. >> Where we'll actually train new people coming into the company, on data, and on self-serve tools, and on how to run experiments. And so a variety of different kind of aspects, and even how to work with data scientists productively. So we have actually train that >> fantastic. >> So this data boot camp really helps us to instill a data culture, and it rally empowers the team. >> So this is, anybody coming in, whether they're coming in for a marketing role, or a sales ops role, they get this data boot camp? >> Yeah. >> Wow. >> And it's open to anyone and you know, it yeah, typically is going to be a certain subset of those people, but it really is open to anyone, and we're talking about more ways of how do we scale that and maybe how we put that on LinkedIn learning and make that more broadly accessible. >> Yeah. >> Yeah. >> So you have quite a big team, how do you keep all of the data scientists that you've got happy, what are the challenges that they face, how do you evaluate those challenges and move forward so that they have an opportunity to make an impact at LinkedIn? >> Yeah, so part of the things are actually the things that I mentioned right? So a culture of data so a, it's really important when we see that this is not happening, actually addressing that. So data scientists are going to thrive in a community where data is valued, and where data scientists are valued, so that's actually a really important aspect. And you know luckily people come to use because they know that we do value data. But I think that that's very important for any company and so, I advise startups as well, and this is one of the things that I tell people that are founding companies, is you have to have a culture which values data to attract data scientists, because otherwise they have other options. The other thing is having these, these foundations that enable them to be productive. Right, so these tools and these systems that enable them to really do high-value work, and invest in the right areas. So start graduating from doing things that are more, maybe repetitive or low-level and figure out how do you scale that so that you can have data scientists really, efficiently using their time for things that only they can do? >> Right, I love that this culture is sort of grooming them. One of the things that, a couple things I read recently. One, was that, I think it was Forbes that said, 2017, the best job to apply for is data scientist. But, from an trends perspective, it's looking that by 2018, there's going to be a demand so high, there's not going to be enough talent. How are, what's your perspective on LinkedIn? Are you, have you, it sounds like from a foundational perspective, it is a data driven company that really values data, is that something that you see as a potential issue or you really have built a culture of such, not just collaboration and innovation, but education that LinkedIn is in a very good position? >> Yeah, well so one thing is that, I didn't mention in terms of the happiness factor right? Is that it is actually a place where data scientists look for a place where they can also grow and learn and be with other like-minded data scientists. So I think that's something that we strongly support, again for companies that, people that may be viewing this and are not in such environments, there are a lot of ways to do this. So keeping data scientists happy also can be facilitating meetups, right with data scientists from your local region, and so those are ways that people share information and share techniques and share challenges even right? >> Interviewer: Yeah. >> Because this a growing and evolving field. And so that's, having that community and one of the things that's amazing about this conference is that it's creating this community of data scientists that are all sharing successes and failures as data science is evolving. The other thing is that data science draws from so many different backgrounds right? >> Yeah. >> It's a broad field, right, and there's so many different kinds of data science, and even that is getting both more specialized and more broad. So I think that part of it is also looking at different backgrounds, different educational backgrounds and figuring out how can you expand the pool of people that you're looking at, you know that are data scientists? >> Interviewer: Right. >> And how do you augment what skills they may not have yet, you know, on the job or through training or through online education, and so we're looking at all of these ways so. >> That's fantastic, we've heard a lot of that today. The fact that, the core data science skills are still absolutely vital, but there's some other sort of softer skills, you talked about sharing. Communication has come up a number of times today. It's really a key, not only to be able to understand and interpret the data from a creative perspective and communicate what the data say. But to your point, to grow and learn and keep the data scientists happy, that social skill element is quite important. >> Yael: Yes. >> So that was, that was an interesting learning that I heard today, and I'm sure you've heard many interesting things today that have inspired you as well. >> Yeah, and that's something that you know, creating this culture is something that even data science leaders around the world, where we're discussing this and talking about this, you know what are the challenges? And how do we evolve this field? And how do we help define and help kind of groom the next generation of data scientists? >> Interviewer: Right. >> And to be in a more stable and be in a better place than where we were and to help to continue to evolve it, and so it is yeah. >> Evolution, it's a great word. I think that that's another theme that we've heard today and as much as I'm sure you've inspired and educated these women that are here. Not just in person today, but all the what 70, 70 cities and 25 countries it's being live streamed. >> Yael: Yeah, it was 80 cities and six continets. >> It's growing it's amazing. >> And yeah. >> And I'm sure that they'd vote a 10 from you, but it's probably just in the little bit that we've had a time to chat, I'm sure that you're probably gleaning a lot from them as well. >> Yeah, definitely, absolutely. >> And it's the, we're scratching the surface. >> Yes, absolutely and so there are many more years to come. >> Interviewer: Exactly, Yeal thank you so much for joining us on The Cube. >> Thank you, it's pleasure. >> It's a pleasure talking to you, we wish you continued success at LinkedIn. >> Thank you, it's a pleasure. >> And we want to thank you for watching The Cube. We've had a great day at the 2nd annual Women in Data Science conference at Stanford University. Join the conversation #wids2017. Thanks so much for watching, we'll see ya next time. (rhythmic music) >> Voiceover: Yeah.

Published Date : Feb 4 2017

SUMMARY :

University, it's the Cube, Welcome back to The Cube, we are live So excited to have you here, So on the data products, much Right, fantastic, so tell us the business, to really that everybody benefits from. the business side, vice versa, kind of data is infused in the culture and especially the size of the So to have that built in and One of the ways we might What are some of the basic and the culture has to be at the data to determine that really needs to be the business side to be one of the things that we do So we have actually train that rally empowers the team. And it's open to anyone and that enable them to be productive. the best job to apply something that we strongly community and one of the and even that is getting And how do you augment what and interpret the data So that was, that was And to be in a more stable all the what 70, 70 cities Yael: Yeah, it was 80 And I'm sure that they'd scratching the surface. Yes, absolutely and so there Yeal thank you so much to you, we wish you continued And we want to thank

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Stephanie Gottlib, Agyleo Sport - Women in Data Science 2017 - #WiDS2017 - #theCUBE


 

>> Narrator: Live from Stanford University, it's theCUBE. Covering the Women in Data Science Conference 2017. >> Welcome back to theCUBE, we are live at Stanford at the second annual Women in Data Science Conference. I am Lisa Martin, joined by one of today's speakers from the event, Stephanie Gottlib. Stephanie, welcome to theCUBE. >> Thank you. >> You had a very interesting talk, which we'll get to in a minute, but you are currently the president of Agyleo Sport. We want to talk about that as well. You've been in the software and technology industry with oil and gas for a very long time, you've got a Bachelors, Masters, just a few years. >> Okay, thank you. >> Just you're, you've got expertise. That many people would desire. So we'd love to understand what your talk was about today, with respect to oil and gas. Data, digital transformation in oil and gas. You said "Data is the new oil." Which I just love that. Talk to us about that, what does that mean with respect to digital business transformation, and that industry? >> Yeah, so first of all, I say Data Science is definitely an area in which a woman, which I think is one of the main topic of today, will have a huge opportunity to move the needle. It's, I mean when you look at the, some numbers, I start in my talk with this example. In France, what is the proportion of women entrepreneurs involved in technology startups? And the answer is in the range of 8 to 12 percent. >> Lisa: Wow. >> I mean, in France right, I mean, economic-wise it's not perfect. But we have a long history, I think, human rights are there and so on, we are open. And to still be at this level, it's not dramatic, but to honest a lot remains to be done. And Data Science, it's a fantastic opportunity for women to change that drastically in the future. So that was cool to be invited to this presentation and see the huge potential that all those womans present for the future. So, having said that, now regarding my talk. What I wanted to bring on the table was about to put all the main foundational story to move into this new digital world. I mean, for industries which have been very conservative for a long time with old legacy aspect in it, moving to this digital world is not trivial. And you have three main components to handle with, which they have to address a bit differently. Which are about the goals, they have to adapt the way to think about, what are the new goals now? Which is mainly about asset utilization and maximizing the efficiency, the cost efficiency, the effectiveness, the safety and reliability and so on. How to integrate all of those technical new stuff, I mean, we are talking about Internet of Things, with plenty of new sensors everywhere in the field. HPC, High Performance Computing, for heavy computation, et cetera, et cetera. So that's some big topic, right? To digest for those industrial guys, and the last pillar which is, for me, the most crucial one is about the control change. Because beyond everything, you know, technical stuff. It's a matter of time, it's easy. But the control aspect is really essential. If you don't get the control right to instill some change management, you will likely fail. And a successful and valuable transformation comes with organization that have learned how to involve all of the entities, not just technical but legal, HR, accounting, sales marketing, all together to be aligned and to go to it. >> That's such a great point. Cultural evolution is critical, it's so hard. >> Stephanie: Absolutely. >> Right? You talk about whether it's a big oil company, or a big tech company, or another company that's large in another industry. Are you saying, though, I completely agree with you that cultural transit is the essential component. In oil and gas industry, how have you seen Data Science drive or influence cultural transformation? >> For sure, I mean the data now is in the center of everything. When I said, and you repeated, "Data is the new oil." Until recent past, we were driven by product centric approach. Today it's all about services and it's all about data. And that is a different paradigm that we need to integrate in the industry and in the oil and gas that I know better. To get the best benefit from it. It's a challenge but it's a fantastic and very passionate challenge to handle in the future. So that's why we have opened a center actually here, for example, in the Bay Area, to be close to the heart of what is happening in Data Science. >> Oh, fantastic, one of the things that you also said in your talk was that transformation through data analytics is equally as relevant on the operational side of a business as it is on the financial side. Expand upon that a little bit. >> Yeah, actually on the financial side, so the operational exploration prediction aspect I think it's more or less understandable. On the financial side it's a bit more hidden. But for too long our industry, I mean the oil and gas industry, have been substantially blind by not understanding how to best choose their commercial data in a holistic way. And now new startups, actually, have instilled some new way to think about that. Instill and develop new products based on machine learning combining machine learning, financial analysis. Et cetera, et cetera. Together to gain in accuracy, to gain in predictability, and a key factor is to... Get access to this information in a much faster time. And you know in our, in any industry, but in oil and gas industry time and precision cost a lot of money. >> Absolutely. What are some of the things that you would recommend to some of the young girls that are here, young women that are here, in terms of being able to influence an industry and elicit cultural change from an education perspective, is it just Data Science or what are some of the other skills and backgrounds do you think they need to be able to drive such change? >> Yeah, I think the conference was touching this point since this morning, and there is no clear answer obviously. There is no recipe, but for sure, I think many industrial today are still mirrored in the old ways. And they really need some fresh input, some fresh... Insight to really drive the culture right, the strategy right, that is necessary to move on the valuable and the successful transformation. And this fresh input, this fresh insight, I think can be completely an opportunity for woman to jump into this... This jobs or this, this aspect of the story. And with either the technical angle or the managerial angle I think it can be both right? And it's not exactly the same sort of skills that are behind. So skill wise, you know, let's be passionate. If you love the data, if you enjoy playing with the data, I think you will be perfect, doesn't matter if you are a man, a woman, I mean you are just a data scientist at the end. With skills and it's all about what you can bring and value to the company that you will work for. >> Lisa: Right. >> So go for it, I mean the Data Science world is an oyster, right? >> Absolutely. >> So go for it! >> Yes. >> I mean, really. It's a fantastic opportunity. >> It is, and some of the things that we heard today from the skills perspective is kind of opening it up or maybe broadening it a bit, absolutely the core Data Science skills are essential. The blend of hacker, statistician, mathematician, scientist, but also looking at some of the softer skills, creativity. Communication. >> Stephanie: Correct. >> And being able to understand enough of the business. >> Stephanie: Correct. >> To bring and really marry those two together. Have you seen that trend in kind of this ideal background coming up in the oil and gas industry? >> Yeah, of course, at the end of the day you've perfectly summarized all the skill set that a good data scientist needs to have. And this curiosity for the domain of application because Data Science either you can work for university then you can approach Data Science from an academic and fundamental thinking, but to be honest most of the time and most of the jobs are using Data Science for a purpose and for an application, so then you need to adapt yourself and be sure that you will have this curiosity, you need to adapt yourself to the knowledge world. And not the opposite, so this ability of adaptation, of curiosity, of passion for the type of problems or challenges, issues, that you will have to address through the Data Science world will be key, and it's really up to everybody to analyze if they want to go for it or not. >> I think that's a great point that you brought up, that adaptation. We have actually heard that a number of times today, that person needs to have the skills but also the adaptation, the flexibility. >> Stephanie: Correct. >> Along those lines, adaptation maybe, talk to us about what your current role is at Agyleo Sport. >> Yeah, with not real transition. (laughter) I moved, I quit Schlumberger a few months ago. My job, I loved my job, but I still live in France. It was difficult to be abroad so often. Anyway, I decided to change life but still I tried to stop working and I almost died. (laughter) So I decided to move forward to another challenge, really. And the new challenge is to combine and reconciliate my two passions, which are digital and sports. >> I love that, tell me more about that. >> So the idea is to raise a fund which would be the first independent fund in France, venture capital fund I mean. Addressing the sport and technology vertical. So domain, market, industry. You know sport, to make the link with what I express today, in fact sport is almost an industry like any other one. And the transformation of sport with integration of all this new tech have to be addressed and everything has to be done. So when you think how to revolutionize the way sport is handling either on the professional side or amateur side. You know, and the more I am digging into this new market for me, it's amazing. The opportunities are tremendous. And so we are pretty close to close our fund and to be, to get ready to invest in some passionating startups. Dynamic statups on this topic. I've just closed some partnership as well with, in LA, where sport tech is already booming. So it's going on and it's quite an exciting new, different, but, challenge that I am taking right now. >> It sounds so interesting. And wrapping things up, you bring up a great point that you've adapted but you've also been able to recognize the linkage between your favorite passion, sports, and technology and digital. And these days especially, we're a bit biased living in Silicon Valley where every company is a tech company, car companies et cetera. It's a really great message for the younger generation to understand, follow your passion. And there's technology there, and were going to need those diverse perspectives to help bring it to life and evolve it. >> Absolutely, so I think I realize that it's a luxury. At the point to have a choice to decide what you like to do in life, but it's also true that you have to address one in your early stage, early years, and giving you the maximum opportunities for the future is important. And then you can have this luxury, effectively to decide for your passion and to be driven by your passion. >> There's the Nirvana exactly. Well Stephanie thank you for those wise words of wisdom. Thanks so much for, >> Thank you very much. >> Stopping by theCUBE today, it's been a pleasure having you on. >> Me too, thank you. >> And we are going to be right back. We are live at the Women in Data Science Conference. Stick around, coming right back. (gentle electronic music)

Published Date : Feb 4 2017

SUMMARY :

Covering the Women in Data at the second annual Women You've been in the software You said "Data is the new oil." And the answer is in the and maximizing the efficiency, critical, it's so hard. the essential component. for example, in the Bay Area, is equally as relevant on the I mean the oil and gas industry, What are some of the things are still mirrored in the old ways. I mean, really. It is, and some of the enough of the business. Have you seen that trend in and most of the jobs are using that person needs to have the skills talk to us about what your And the new challenge is So the idea is to raise the younger generation to At the point to have a choice to decide There's the Nirvana exactly. it's been a pleasure having you on. We are live at the Women

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Sinead Kaiya, SAP | Women in Data Science 2017


 

>> Announcer: Live from Stanford University. It's theCUBE. Covering the Women in Data Science conference, 2017. >> Hi, welcome back to theCUBE, live from Stanford University at the second annual Women in Data Science tech conference. We are here with the COO of Products & Innovation at SAP, Sinead Kaiya. Sinead, welcome to theCUBE! >> Thanks very much! It's great to be here. >> It's great to have you. You were one of the keynote speakers today. >> Sinead: I was. >> Talk to us about your role at SAP and some of the topics that you discussed to the large audience here today. >> Yeah, absolutely. So one of the things I was happy to open my keynote with was letting them know that I'm actually not a data scientist. Because while I think it's important that that community gets together and shares their knowledge, I'm actually coming from the industry business angle. And for the young women who are here starting out in data science, I thought it's also very interesting and important for them to also hear the business perspective on data science. So that was my main contribution to the talk today. And I got a lot of great feedback, that they really appreciated getting that perspective. >> I can't imagine that you wouldn't, because data science is a boardroom conversation now. You report to the CEO. Talk to us about the connection that you help the CEO understand about the value that data science can bring to organizations like SAP. >> Right. It's actually funny. We have recently re-equipped some of our major boardrooms in SAP with huge digital touchscreens. They're absolutely phenomenal, and the reason is because the CEO truly understands, as do the board members, that the power of many of their decisions are lying today in the data. And what they don't want is a static printout on some slides or some chart that somebody hands to them. They want to be able to touch the data and explore the data, and really try to dig into it themselves. So when it comes to the question of the data, I think for CEO's this is a no-brainer. Right, they're drowning in data. They have a lot of data. They understand that. But the point of my talk today was more about the science. So I think where CEO's need to go next, is understanding that just having reams of data and being able to slice and dice it is not going to cut it anymore. You need the young women in these professions that bring the scientific discipline to that data, which is incredibly technical, around machine learning algorithms, to actually start to make sense of that data. So this is a switch for CEO's. The data is a no-brainer, but the science is a new thing that's starting to creep into the boardroom. And they're starting to learn that machine learning and these technologies are going to be very important in how they drive their businesses. >> What's the perception of that at SAP, and what are some of the things that are going on on the technology side to bring that data science in, to make sense of this data and extract value for SAP? >> So obviously SAP has a very strong portfolio of analytics products as well as our SAP HANA in-memory data platform, but where the power of it, is when we start co-innovating with our customers, because it all comes to life once it reaches the customer. So I gave a couple of examples in my keynote today, on how we're co-innovating with, for example, our customer Trenitalia. So Trenitalia is the largest provider of train service in Italy. They move about two million passengers a day. >> Wow. >> And about 80 million tons of freight a year. And they're collaborating with SAP to not only, how do you say, equip all their trains with sensors and be able to be getting that real-time data, how do they connect that with the IT data in their maintenance systems, so that when a train, let's say we know before it's going to break, before it does, and the machine already has triggered the maintenance technician, has already scheduled it, and everything happens in a very smooth and automated way. So it's once we go to the real problems that our customers are having, and we can apply our in-memory technology to their problems, that we get the real value. >> Right. That's such an interesting example. Like, intelligent train, digital train, how do those come together to enable them to meet their customers' objectives. >> Absolutely. Another interesting topic that I talked about was business without bias. So this is a new feature set that we're building into our HR systems. So SAP SuccessFactors has systems that people use for recruiting, and then taking you through the whole HR life cycle from promotions to talent management to compensation. But obviously, anybody who's been through these processes know that there's a certain element of human bias along the way. So, one of the things I talked about is how we're using machine learning to enhance our HR product, so we can try to at least identify some of the bias, if not start to remove it from the system. So... >> This is, sorry. We actually were speaking with someone on the show earlier today, who was looking at how to remove bias from the recruiting process, and creating technology for college campuses and students to be able to use. It's game-based technology, and I thought it was really interesting, because oftentimes recruiting, looking at GPA's, test scores, maybe some of those other hard factors, but now with data science and the ability to understand and add some of the behavioral insights in, really interesting applicability and how that can influence the next generation of people working for lots of different industries and companies, including SAP. >> And it's not just because it's technically interesting, or because it's the right thing to do. To take it from the CEO angle, CEO's today recognize that if they want to solve the big challenges that are on their plate, they not only need the best talent, they need the most diverse talent. But I can see from my experience, just because the CEO decides that diversity should be a corporate priority, and just because people say "yeah, we think that's a good idea," how do you actually codify that in the systems that your employees are using in the business? So the question of, do we need diversity in business, is no longer on the table. But it's rather, how do we actually start to implement that in a more systematic way, so that it's not just wishful thinking. It's actually something that's built in. >> Right. Talk to us about who your collaborators are within SAP, on things like that. Who do you work with, departmentally, function-group-wise, to help make that "yes, we understand, we need to do this" into actually real-world applicability? >> Well, one of the things I talk to, and some advice I gave the young women today, which is true for software in general, is they have to collaborate with the end user. So if you want to build in these bias checks into the HR system, do not sit alone in your laboratory. Do not sit in front of your computer and try to guess what you think is needed. Go out and shadow a recruiter for a week. Go and sit with the end user. Go and understand and truly see what their problems are, and then really involve them in the solution. So, I think that will also help when we talk about how do the young women here take all the academics and all of the, how do you say, theory that they're creating, and start to apply that in a real business context. If you haven't involved the end user, that's going to be quite hard to do. So one of the things I told them is, go to the user. >> That's great advice. I'm curious though, your perspective, coming from the business side, you know we look at data science, Forbes said it's going to be the best job to apply for in 2017. We're also seeing statistics that show, by 2018 there's going to be a shortage. The demand will be so high for data scientists that there will be a shortage. If we kind of look at the evolution of data science and where we are now, you look at the traditional skills. Stats, math, sciences, computing, maybe former hackers. Some of the things that we've heard today that I'd love to get your opinion on, being a businesswoman, is people are now saying, you know, it's the ability to be creative, to analyze and interpret, but also to communicate the information. Another thing that came up that I thought was really interesting was the factor of empathy when you're evaluating different types of data. I thought that was really interesting. I'd love to get your advice for a young woman who might be thinking about majoring in computer science, but maybe her interests really lie in sports or something that you think, is there a technology there? Well yeah. What advice would you give, and what are some of the additional core skills that you see a successful data scientist of the future needs to have? >> Right. So I love that you brought up the topic of communication, because I see in the business world, this is so important. So when you talk about competitive advantage, all of the companies can go out and hire people with, let's say, equivalent technical skills. So we can all get to the same level of technical prowess, let's say, in an industry. But do you have the people who, like you said, can apply the creativity and then find a way to communicate the results back in a superior way? So I think they are going to find that just having the technical skills in business is never enough to really break that ceiling. You have to have absolutely phenomenal communication skills. >> Definitely. >> I also gave them the advice to take a couple of business courses. It really helps to understand how the decision-makers, who you're trying to influence, what are the strategies that they use? What are the challenges that they face? And how do you actually look at some of the problems of data science more from a business perspective? I told them, what I thought is, absolutely the most hireable data scientist would be someone with some domain expertise, someone with the technical background, but somebody who also knows about business. So we need the full package. >> Absolutely! Well and that's an important point, because technology evolves. It's also the catalyst for our evolution, and naturally, any role will change and evolve. I think communication is a core, a very horizontal skill. But I definitely also would agree with your recommendations that having some business acumen in some form or fashion is really going to be key. Tell us a little bit about, what are some of the things, when somebody's coming on to SAP as a data scientist, if they maybe don't have that business background, are they able to get that within, because the culture at SAP kind of supports sort of, cross-collaboration, cross-pollination, so that they might be able to just start to learn different perspectives, to become that package that we talked about. >> Right. So in SAP, of course we have multiple opportunities for employees to either move between departments and see different areas of the company, but as a data scientist at SAP, the best experience you're going to have is working with our customers. It's one of our greatest assets and our greatest pride, is the wonderful relationship we have with hundreds of thousands of leading businesses around the world. So by joining SAP, you get to collaborate with some of the really top companies and industries. And that is when it doesn't become business theory in books. You actually get to go to the customer and see how it touches their business, and where it becomes real. And I think this is what attracts so many people to SAP, and gets them to really engage and stay at SAP, is that phenomenal customer base that we have. >> That's fantastic. Well, that real-world applicability, there isn't anything better than that. You can learn a lot of theory in textbooks, and maybe obviously be able to apply some of it, but having that expertise when something doesn't go the way that it's printed, is really really key to helping shape someone. Speaking of shaping, I'm interested in how you've been at SAP for quite some time, you've had posts in Germany and France, which is amazing. Now you're based in New York. Tell us how you've seen, because you really clearly understand the business side and you understand the importance of the business side and the data science side, the needs there and how they need to work together to drive more value, innovation, drive products, drive revenue. How have you seen SAP's culture evolve to become open to, for example, business and data science merging and being core collaborators? >> Yeah, so I mean, SAP's industry has changed a lot over the recent years. And we've done that along with our customers. So our customers are obviously in a much more tight competitive situation in the whole digitization side of things. So we've been evolving along together with them. But to go back to my other point, one of the major changes or cultural shifts that I've seen in SAP is this tight collaboration with the end user. It used to be that we were only given access to the IT departments of our customers. So we literally had to work through the filter of the IT department to find out what it is we should build. Suddenly, the IT departments are realizing that the end user in companies have quite a bit of power these days, you know. >> Lisa: Yes they do. >> And they're now opening the doors and asking us to collaborate with them, and that shift has allowed our engineers to get even closer to the end users in our customers. >> Fantastic, and I'm sure that's really a key for driving innovation. Last question for you. We're at the second annual WiDS conference. I mean, what an amazing event. Live streamed, reaching so many people. You yourself were a keynote this afternoon. Diane Greene was a keynote this morning. As you look around this very energetic atmosphere that we're in, what has inspired you? What are you going to take away from WiDS 2017 that you're like, wow, that was really fantastic? >> Well, one of the things is the diversity of the speakers. I mean, the breadth of this topic is amazing. Being a woman in tech, of course it's wonderful to see so many highly intelligent and engaged women in one room, which is something we don't usually get to see. So that's one of the other key takeaways for me. >> Fantastic. Well Sinead, we so appreciate you stopping by theCUBE. We wish you continued success as COO of Products & Innovation, and we look forward to seeing you next time on the program. >> Thanks so much! >> And we want to thank you for watching theCUBE. We are live at the second annual Women in Data Science conference, #WiDS2017, but stick around. We'll be right back.

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>> Commentator: Live from Stanford University it's theCUBE covering the Women in Data Science Conference 2017. (jazzy music) >> Hi, welcome back to theCUBE. I'm Lisa Martin live at Stanford University at the second annual Women in Data Science WiDS tech conference. We are here with Ann Rosenberg from SAP. She's the VP head of Global SAP Alliances and SAP Next-Gen. Ann, welcome to the program. >> Thank you so much. >> So SAP is a sponsor of WiDS. Talk to us a little bit about that, and why is it so important for SAP to be involved in this great womens organization. >> So first of all, in my role as working with SAP's relationship to academia and also building up innovation network we see that data science is a very, very key skill set, and we also would like to see many more women get involved into this. Actually (mumbling) right now as we speak we are at the same time in 20 different countries around the world, 24 events we have. So we are both in Berlin, we are in New York, we are all over the world. So it's very important. I call it kind of a movement what we are doing here. It's important that all over the world that we inspire women to go into data science and into tech in general. So it is important thing for SAP. First of all, we need a lot of data science interested people. You also need our entire SAP ecosystem to go out to universities and be able to recruit a data science student both from a diversity perspective, whatever you are a female or a man of course. >> Absolutely, you're right. This is a very inspiring event. It's something that you can really actually feel. You're hearing a lot of applause from the speakers. When you're looking enabling even SAP people to go out and educate and recruit data scientists, what are some of the key skills that you're looking for as the next generation of data scientists? >> This is an interesting thing because you can say that you need like a very strong technical skill set, but we see more and more, and I saw that after I moved to Silicon Valley for two years that also the whole thing about design thinking, the combination of design thinking and data science is becoming something which is extremely important, but also the whole topic about empathy and also, so when you build solution you need to have this whole purpose driven in mindset. So I think what we're seeing more and more is that it's great to be a great data science, but it takes more than that. And that's what I see Stanford and Berkeley are doing a lot, that they're kind of mixing up kind of like the classes. And so you can be a strong data science, but at the same time you also have the whole design thinking background. That's some of the things that we look for at SAP. >> And that's great. We're hearing more and more of that, other skills, critical thinking, being able to not only analyze and interpret the information, but apply it and explain it in a way that really reflects the value. So I know that you have a career, you've been in industry, but you've also been a lecturer. Is this career that you're doing now, this job in alliances and next-gen for SAP sort of a match made in heaven in terms of your background? >> I actually love that question, probably the best question I ever got because it is definitely my dream job. When I was teaching in Copenhagen for some years ago I saw the mind of young people. I saw the thesis, the best of master thesis. I saw what they were able to do, and I'm an old management consultant, and I kept on thinking that the quality of work, the quality of ideas and ideations that the students come with were something that the industry could benefit so much from. So I always wanted to do this matchmaking between the industries and the mind of young people. And it's actually right now I see that it's started kind of, what I at least saw for the last two years that the industries that go to academia, go to universities to educate or to students to work on new ideas. And of course in Silicon Valley this has been going on for some time now, but we see all over the world. And the network that I'm responsible for at SAP, we work in more than 106 countries around the world, with 3,100 universities. And what I really want to do now, I call it the Silicon Valleys of the world where you are mapping the industries with academia with the accelerators and start ups. It's just an incredible innovation network, and this is what I see is just so much growing right now. So it's a great opportunity for academia, but equally also for the industry. >> I love that. Something that caught my eye, I was doing some research, and April 2016 SAP announced a collaboration with the White House's Computer Science for All Initiative. Tell us about that. >> I mean the whole DNA of SAP is in education. And therefore we do support a number of entity around the world. Whatever we talk about building up a skill set within data science, building skill set in design thinking, or in any kind of development skills is really, really important for us. So we do a lot of work together with the governments around the world. Whatever you talk about the host communication, for example, we have programs called Young Thinkers, Beatick, where you go out to high schools or you go into academia, to universities. So when this institute came up, we of course went in and said we want to support this. So if I look at United States, so we have a huge amount of universities part of the network that I'm driving with my team. So we have data curriculums, education material, we have train to train our faculties, boot camps. We do hackathons, coach games. We do around 1,200 to 1,600 hackathon coach games per year around the world. We engage with the industries out to the universities. So therefore it was a perfect match for us to kind of support this institute. >> Fantastic. Are there any things that SAP does as we look at the conference where we are, this Women in Data Science, are there things that you're doing specifically to help SAP, maybe even universities bring in more females into the programs, whether it's a university program or into SAP? >> Yeah, so for SAP in our whole recruiting process we definitely are looking into that. There is a great mix between female and male people who get hired into the company, but we also, it all start with that you actually inspire young women to go into a data science education or into a development education. So my team, we actually go in before SAP recruiting get involved where we, that's why we build up the strong relationships with universities where we inspire young women, like we do at this event here to why should they go in and have a career like this. So therefore you can see there's a lot of pre=work we need to be done for us to be able to go in and go into the recruiting process afterwards. So SAP do a lot of course in the United States, but all over the world to inspire young women to go into tech. And SAP does what we see today all over the world we have huge amount of female from SAP, female speakers at all our events who stand as role models to show that they are women, they are working for SAP, and are very, very strong female speakers and are female role models for all young women to get involved. So we do a lot of stuff to show that to the next generation of data science of whatever it is in tech. >> Yeah, and I can imagine that that's quite symbiotic. It's probably a really nice thing for that female speaker to be able to have the opportunity to share what she's doing, what she's working on, but also probably nice for her to have the opportunity to be a mentor and to help influence someone else's career. So you mentioned accelerators a minute ago, and I wanted to understand a little bit more about SAP Next-Gen Consulting, this collaboration of SAP with accelerators or start ups. How are you partnering to help accelerate innovation, and who is geared towards? Is it geared more towards student? Or is SAP also helping current business leaders to evolve and really drive digital transformation within their companies? >> So the big (mumbling) I'm working on right now too is as mentioned you said SAP Next-Gen is called SAP Next-Gen Innovation With Purpose. So it's linked to the 17 U.N. global goals. We've seen from now in Silicon Valley when you innovate you actually make innovation web purposes included. And that's why we kind of agreed on in SAP why don't we make an innovation network where the main focus is that all the innovation we get out of this is purpose driven linked to the 17 global goals. Like the event here is the goal number five, gender equality. In that network we actually do the matchmaking between academia. We look at all the disrupted new technologies, experience the technologies like machine learning like what's being discussed a lot here, block chain IOT. And then we look at the industry out there because the industries, they need all the new ideas and how to work with all the new opportunities that technology can provide, but then we also look into accelerator start ups. The huge amount, and often when you're in Silicon Valley you kind of think this is the world of the start ups of the world. So when you travel around the world, that's we we looked into a lot the last two years. We call the Silicon Valleys of the world, any big city around the world, or even smaller cities, they have tech hub. So you have Ferline Valley, you have Silicon Roundabout in London, you have Silicon Alley in New York, and that is where there is a huge amount of gravity of start ups and accelerators. And when you begin to link them together with the university network of the world and together with the industry network of the world, you suddenly realize that there is an incredible activity of creativity and ideations and start ups, and you can begin to group that into industries. And that give industries the opportunity not only to develop solution inside the company, but kind of like go in and tap into that incredible innovation network. So we work a lot with seeding in start up, early start ups into corporates, and also crowd source out to academia and the mind of young people all Next-Gen Consulting project where you similar work with students at universities on projects. It could be big data science project. It could be new applications. So I see like as the next generation type of consultancy and research what is happening in that whole network. But that is really what SAP Next-Gen is, but it is linked to the 17 U.N. global goals. It is innovation with purpose, which I'm really happy to see because I think when you build innovation, you really think about in the bigger, the whole (mumbling) thing that we know from singularity. You should think about a bigger purpose of what you're doing. >> Right, right. It sounds like though that this Next-Gen Consulting is built on a foundation of collaboration and sharing. >> It is, it is, and we have three Next-Gen lab types we set up. In this year we built, last year, we are a new year now, we built 20 Next-Gen labs at university campuses and at SAP locations. And here in the new year more labs is being set up. We are opening up a big lab in New York. We just recently opened up one in Valdov at SAP's headquarter. We have one here in Silicon Valley, and then we have a number of universities around the world where SAP's customers go in and work with academia, with educators and students because what do you do today if you're in industry? You need to find students who are strong in machine learning and all the new technologies, right? So there's a huge need for in industry now to engage with academia, an incredible opportunity for both sides. >> Right, and one last question. Who are you, in the spirit of collaboration, who do you collaborate back with at SAP corporate? Who are all the beneficiaries or the influencers of Next-Gen Consulting? >> So I collaborate, inside SAP I collaborate, SAP have a number of, we have ICN, Innovation Center Network. We have our start up focus program. We have a number of innovation, the labs, a number of basically do all our software developments, so they're heavily involved. We have our whole go to market organization with all our SAP customers and industry, I call them clubs. And then externally is of course academia, universities, and then it is the start up communities, accelerators and of course, the industry. So it is really like a matchmaking. That's like, when people ask me what do you do, and I'm a matchmaker. That's really what I am. (Lisa laughs) >> I like that, a matchmaker of technology and people all over. So you're on the planning committee for WiDS. Wrapping things up here, what does this event mean to you in terms of what you've heard today? And what are you excited about for next year's event? >> So for me, one year ago when I heard about this year I kind of said this is important, this is very important. And it's not just an event, it's a movement. And so that was where I went in and said you know, we want to be part of this, but it must be more than just an event here. It's staying for the need to be much more than that. And this is where we all teamed up, all the sponsors together with ISMIE, and we said okay, let us crowd source it out, let us live stream it out much more than ever. And this is also what the assignment is now, that we to so many locations. This is just the beginning. Next year is going to be even bigger, and it's not like that we will wait to next year. We this week announced the SAP Next-Gen global challenges linked to the 17 U.N. global goals. So we are inspiring everybody to go in and work on those global challenges, and one of them is goal number five, which is linked to this event here. So for us and for me this is just the beginning, and next year is going to be even bigger. But we are going to do so many event and activity up to next year. My team in APJ, because of the Chinese New Year, have already been planned coming up here. >> Lisa: Fantastic. >> And we have been doing pre-event, (mumbling) events. So again, it is a movement, and it's going to be big. That's for sure. >> I completely can feel that within you. And you're going to be driving this momentum to make the movement even louder, ever more visible next year. >> Ann: Yeah. >> Well Ann, thank you so much for joining us on The Cube. We're happy to have you. >> Thank you so much for the opportunity. >> And we thank you for watching The Cube. I am Lisa Martin. We are live at Stanford University at the second annual Women in Data Science Conference. Stick around, we'll be right back. (jazzy music)

Published Date : Feb 4 2017

SUMMARY :

covering the Women in Data Stanford University at the important for SAP to be around the world, 24 events we have. as the next generation of data scientists? that also the whole thing So I know that you have a the industries that go to the White House's Computer I mean the whole DNA the conference where we are, in the United States, and to help influence all the innovation we get this Next-Gen Consulting And here in the new year Who are all the beneficiaries and of course, the industry. does this event mean to you of the Chinese New Year, and it's going to be big. the movement even louder, We're happy to have you. And we thank you for watching The Cube.

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>> Announcer: Live from Stanford University, it's the Cube, covering the Women in Data Science Conference 2017. (electronic music) >> Hi, and welcome back to the Cube. I'm Lisa Martin live at the Women in Data Science Conference, second annual, here at Stanford University, #WiDS2017. Fortunate to be joined next by Miriah Meyer, who is an Assistant Professor at the University of Utah in the School of Computing. Miriah, welcome to the Cube. >> Thank you. >> It's great to have you here. You're a speaker at this event this year. >> Yes. >> Tell us a little bit about how you got involved in WiDS and what excites you about being able to speak to this very passionate, invigorating audience? >> Yeah, so I got an invitation from one of the organizers, seems like quite some time ago, and when I looked into the conference, it just looked fantastic. I was so impressed with the speakers they had last year and the speakers for this year. It's a really amazing powerhouse of a community here. The fact that it's a great technical conference that, oh, just happens to be all women, it was pretty awesome, I was pretty flattered to get invited. Then the sort of, the energy in there is really awesome. It is different, it feels different than other technical conferences I go to. >> I completely agree. I love that you talked about just the community, because that's really what it is, and I think some of the, just the vibe that you can feel sitting here is one of excitement, it's one of passion of women who have been in this industry for a very long time in computer science, and then those young girls who are looking for inspiration. I think it's very symbiotic, right? They're learning from you, but I think you're probably also learning from them. >> Definitely. I find that every time I present my work to another group of people, a different community, I always have to come up against what my own assumptions are about how easy or not it is to understand the kind of work I do. I personally find it just so important to communicate clearly, it's probably partly why I do the work that I do. But I learn a lot every time I give a talk at a place like this. >> Wow, outstanding. Well, speaking of your talk, your research is in visualization systems. Share with us what you shared with the audience today, goals, outcomes, current outcomes of your visualization research. >> Mm-hmm. My research passion is around helping people make sense of complex data. I've particularly done a lot of work with scientists, particularly that in biology, where there's just been this amazing explosion of data and people are just trying to wrap their heads around what they have and what kinds of amazing discoveries they're sitting on. But it's really interesting, we've gotten so good at creating data, but then, that's wonderful, but if you can't make sense of it, who cares? >> Lisa: Right. >> I have this incredibly privileged position where I get to go and work with people who are at the cutting edge of their field and learn about this amazing work that they've been spending their lifetime on. Then I help them, I design tools with them that sometimes changes even the way that they're thinking about the problem. It's incredibly satisfying and it's very much in the spirit of team science and it's a lot of fun. I was talking about just some of the basics behind how do you create effective visualizations, which, for me, it also draws heavily on the notion of how do we collaborate effectively, how do you get at people's deep needs when it comes to making sense of data, when they often times can't articulate it themselves. I refer to it as data counseling, because it feels very much like, I talk with people who have problems but they can't articulate it, so I ask them lots of questions to help them uncover the root of their problems. >> Lisa: Right. >> That's basically what I do. >> That data counseling. That's fantastic. >> Yeah, and then you use what you discover in order to design tools. >> Share with us a little bit about the courses that you teach in Computer Science at the University of Utah. >> Yeah, so I teach a graduate level visualization course. It is just about the basic foundational principles we have behind perception and cognition and what that means for how we encode information, and then also, the process of how do you evaluate visualizations effectively. It's a really wonderful course where we have people from, actually, all across campus, so a lot of people are bringing problems that they have in other fields and trying to learn how to be more effective in their own exploration with visualizations. Then at the undergrad level, I actually teach our second semester programming course, so these things are worlds apart. This is one of our large 200 person introduction to data structures and algorithms. >> OK. What are some of the things that are inspiring? We'll talk about your graduate students for a moment. What are some of the things that you find are inspiring them to want to understand data in this way? Is it because they were kids that grew up in STEM programs, or they just had a computer since the time they were little, or are there other factors that you're finding that are really drivers of them wanting this type of education? >> So the students that I work with directly, I think, kind of fall into two camps. One camp is, they're a sort of non-traditional computer scientist, where they enjoy the engineering, they enjoy the programming, but they also really enjoy people and are passionate about making a difference. They also really enjoy the interaction that we have to go through in trying to understand what someone needs. There's also a design component, it's really fun to get to create things that feel good and look good. That's definitely one class, so it's the sort of non-traditional computer scientist. The other class, I have a couple of students who come from a science background, who love science, but find that they like building things more than they like doing the science itself, and visualization is kind of a wonderful place in the middle where you can be part of science but doing the making and building that we do in computer science, as opposed to doing the sort of experimentation and studying that you do as a scientist. That was definitely, for myself, I have a background in science and that's what really drew me, when I discovered computer science and visualization itself. >> What are some of the traditional skills that a good educated computer scientist needed maybe five years ago, and how are you seeing that change? Are there new behavioral traits or skills that really are going to be essential for these people going forward? >> Yeah, I think especially in the space of data science and remembering that at the end of the pipeline there's a person sitting there either bringing their knowledge to bear or that you're trying to tell a story to you from data. I think one trait is the idea of having empathy and being able to connect with people, and to just understand that as technologists, we're, not all of us, but largely creating technology for people. That's something that I think has traditionally been undervalued and perhaps a little bit filtered out by perceptions of what a computer scientist is. But as technology is becoming more ubiquitous and people are understanding the impact that they could have, I think it is bringing in a different group of people that have different motivations for coming to the field. >> What are some of the, as your graduate students finish their education and go on to different industries, what are some of the industries that you're seeing that they're using their skills in? >> Yeah, so a lot of it is getting hired in companies that, their core product that they develop isn't necessarily a piece of technology. But they're using data now to really understand their business needs and things like that. I have a student right now who's actually at a government organization in DC, working with some amazing global health specialists. But these are midwives and social workers and they don't have the deep skills in data analysis. So there's opportunities for people in visualization and data science to go and really make an impact in a whole variety of interesting fields. That's actually one of the things that I always love to tell undergrads who come to talk to me about, "Oh, should I do computer science?" The thing I love most about it is that, whatever your passion is in life, whether it's medicine or whether it's music, or whether it's skiing, there is a technology problem there. If you have those skill sets, you can go and apply it to anything that you care deeply about. >> I couldn't agree more. That's such an important message to get out. I mean, every company, we're sitting here in Silicon Valley, where car companies are technology companies, every company these days, Walmart is a technology company. I think that's an important message for those kids to understand, following their passion. I don't think that that can be repeated enough, because you're right, whatever it is, there's a technology component to that. With that tip, let me ask you, what were some of your passions when you were younger in school? You mentioned your science degrees. But what were some of the things that really helped or maybe people shape your career and where you are today? >> Yeah, growing up, I was, my dad's a scientist, my mother's an artist, so there's definitely, both of those. >> Lisa: Art and science, so yes. >> Yeah, influences of both, and I really wanted to be an astronaut, but it turns out I get really motion sick. >> Oh, that's a bummer. >> So I had to give up that dream. I studied science, but at the same time, my mom always had me creating and doing things with her in her studio. I think I found this love of just being able to make something and how satisfying that is. I think that was influential. Then also, when I was in college, I was an astronomy major, and I had the opportunity to take lots of electives, which, in hindsight, I think was really important, because it let me explore many things. I found myself taking a lot of women's studies classes. What was interesting about that is just the way that you think and problem solve in a discipline like that where it's all critical analysis. That, sort of coupled with the deep analytics that I was, skills I was learning in physics, made for this just really interesting, I think, multiple, gave me perspectives to look at problems in multiple different ways. I think that that's been really important for being able to bring that suite of perspectives to how we solve problems. It's not all just quantitative, and it's just all qualitative. But it's really a nice mixture of both, if it gets us to good places. >> Absolutely. I think that zigzag career path that you're sounding like you're talking about, I know I had one as well, gives you perspectives that you wouldn't have even thought to seek, had you not been on these trails. >> Mm-hmm. >> I think that's great advice that people that are, whether they're in your classes or they're being able to listen to you here, should be able to know that it's OK to try things. >> Yes. Yes, exactly. I think back to the person I was when I was, say, 18. I didn't know. I think the one sort of constant in my career trajectory has been just, wow, this thing looks really interesting, I don't know where it's going to go, but I'm going to follow that path. Inevitably, if it's something that catches your attention, there's going to be something interesting that can come out of it. I think sort of letting go of this need to have everything defined from day one and instead following your passions is, that's the theme I've heard over and over again from the speakers in here, too. >> Absolutely. Don't be afraid to fail is one of the themes that has come out from this morning. Diane Greene, SVP of Google Cloud, who was in morning keynote, had even said, "Don't be afraid to get fired." I mean, could you imagine your parents saying that to you? >> Yeah. >> I couldn't, but it's also something that just shows you that there is tremendous opportunity in many different disciplines and domains for this type. >> By the way, if you have a technical computer science background, you can always find another job. (laughter) >> That is true. What is next on your plate in terms of research, what are you looking forward to the rest of 2017? >> Wow. >> Lisa: Sorry, was that too big of a question? >> Yeah. We have a couple of really interesting problems around color, around some new tools for helping designers and journalists work with data. I think also, I'm starting to think about trying to focus more on K through 12 education and trying to understand what some of the roadblocks are to getting computer science to a younger community of people. In Utah, we have a lot of rural populations. We also have Native American reservations. I think there's some really interesting challenges with getting computer science into those communities. I'm sort of thinking about working with some folks to try to understand more about that. >> That's fantastic. I mean, you bring up a good point, that kind of depending, then, where you are, here we are sitting at Stanford University, one of the pre-eminent universities in the world, and there's a tremendous amount of technology and resources available. But then you look at, really, the needs of communities in Utah, and they need people like you to help, go, "You know what, we have challenges here, and we need to solve that." Because that's part of the next generation of the people that are here speaking at these types of events. >> Miriah: Right. >> Absolutely critical problem. Well, Miriah, thank you so much for being on the Cube. >> Thank you for the opportunity. >> It's been a pleasure, we wish you the best of luck with your big plans for 2017. >> Thanks. >> Lisa: Hopefully, we'll see you next time. >> Great. >> We thank you for watching the Cube again, Lisa Martin, live at Stanford University at the Women in Data Science Second Annual Conference. Stick around, we've got more, we'll be right back. (electronic music)

Published Date : Feb 4 2017

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it's the Cube, in the School of Computing. It's great to have you here. and the speakers for this year. I love that you talked I always have to come up against Share with us what you shared to wrap their heads around I refer to it as data counseling, That's fantastic. Yeah, and then you that you teach in Computer Science It is just about the basic What are some of the things that you find and studying that you do as a scientist. and being able to connect with people, that I always love to tell undergrads I don't think that that definitely, both of those. and I really wanted to be an astronaut, is just the way that you thought to seek, had you that it's OK to try things. I think back to the person I mean, could you imagine your that just shows you that there By the way, if you have a technical what are you looking I think also, I'm starting to think about and they need people like you to help, go, much for being on the Cube. we wish you the best of luck we'll see you next time. at the Women in Data Science

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(upbeat music) >> Voiceover: Live from Stanford University. It's the Cube covering the Women in Data Science Conference, 2017. >> Hi, welcome back to the Cube. I'm Lisa Martin and we are at the second annual Women in Data Science Conference at Stanford University. Such an inspiring day that we've had so far and right now we're joined by Megan Price, the executive director of the human rights data analysis group. Megan, welcome to the Cube. >> Thank you. >> It's so exciting to have you here. Megan, you're background is statistics. You have a PhD as a statistician. The Human Rights Data and Analysis Group, HRDAG, is focused on statistical analysis of mass violence. Talk to us about sort of the merger of your bio statistician or your statistician background with human rights. Was that something that you were always interested in? >> Sure. It was and I have to say I was really lucky. I got my Bachelor's and my Master's in statistics from a very technical engineering school in Ohio, where honestly, a lot of people would sort of, pat me on the head and say, "That's nice, that you're interested in human rights. You'll outgrow that." And fortunately I had one very thoughtful mentor, who said to me, "You know, I really think Public Health school is the direction you should go in", and so I got my PhD in biostatistics from Public Health school and it was really there that I was exposed to people who kind of said, "Yeah, social justice, human rights, do that as a day job. Get on it.", and so that was really great that I was exposed to that as something I can move into as a career. >> Exposed to them, but also you had the confidence. You obviously had a mentor that was very influential, but that takes some courage and some guts to go, you know what, yeah, this is needed. >> It's true, yeah. (laughs) >> So talk to us about some of the ... The HRDAG, we talked about it a little bit before we went live. The evolution. Show to our viewers, how it's evolved to what it is today. >> Sure. So the organization, the name and work started with work that my colleague, Dr. Patrick Ball started doing in El Salvador and in Guatemala in the 90s. And at the time, he was working ... He's formed a team to do the work at the American Association for the Advancement of Science. And so that was about 25 years ago. And then the work evolved and the team just kept kind of moving to where the right home was to get that work done and so in nearly 2000s, they moved out here to Paul Walter just up the street to Benetech, another technical non-profit. And they provided us a really nice home for our work for nine years. And then in 2013, the time had really come to be the right time for Patrick and I to spin out HRDAG as it's own non-profit organization. We're fiscally sponsored right now, but we're our own institution, which we're really excited about. >> So you mentioned some of the projects that Patrick was working on. What are some of the things that were really compelling to you, specifically within human rights, that really are catalysts for the work that you're doing today? >> Sure. I think that there are a lot of quantitative questions that get raised in looking at these questions about widespread patterns of violence, and asking questions about accountability and responsibility for violence. And to answer those questions, you have to look at statistical patterns, and so you need to bring a deep understanding of the data that are available and the appropriate way to analyze and answer those questions. >> How do you from an accuracy perspective, I understand that that's incredibly vital, especially where these important issues are concerned, how does HRDAG eliminate, mitigate inaccuracy issues with respect to data? >> Yeah, well we're always thinking about each of our projects as taking place in an adversarial environment, because we ultimately assume that at the end of the day our results are going to be either subjected to the kind of deep scrutiny that comes along with any kind of socially and politically sensitive topic, or with the kind of scrutiny that happens in a court room. And so that's really what motivates the level of rigor that we require in our work. And we maintain that by maintaining our relationship with mostly academicians, who are really pushing these methods forward and staying on top of what is the most cutting edge approach to this problem and how can we really know that we're being as transparent as possible in the way this data were collected, the way they were analyzed, the way they were processed and the limitations of those analysis. You know, the uncertainty present in any estimates that we put out. >> Give us an example of some of the type data sources that you're evaluating, say for the conflict in Syria. >> So in the case of Syria, we have relationships with four organizations that are all collecting information about victims who've been killed in the ongoing conflict in Syria. Those groups are the Syrian Center for Statistics and Research, Syrian Network for Human Rights, the Damascus Center for Human Rights Studies, and the Violations Documentation Center. And those are all citizen led, by groups that are maintaining networks collecting that information to the best of their ability. And they share with us, largely Excel spreadsheets that contain names of victims and any other information they were able to collect about those victims. >> You mentioned University collaboration a minute ago. From a methodology standpoint. Give me an insight into ... You're getting data from these various sources, largely Excel, where we know with Excel comes humans, comes sometimes, "Oops". How are you working with universities to help evaluate the data or what are some of the methodologies that they're recommending, given the data sources and the tools that you have? >> So there's really two stages that the data go through and the first one is within the groups themselves, who do that first layer of verification, and that is the human verification prior to, kind of all the risks of data entry problems. And so they're doing the on the ground, making sure that they've collected and confirmed that information, but then you're absolutely right, we get this data that's been hand entered and with all of the risks and potential down sides of hand entered data and so primarily what we do is fairly conventional data processing and data cleaning to just check for things like outliers, contradictory information. We'll do that using Python and using R. And then our friends and colleagues in academia, where they're really helping us out is, because there are these multiple sources collecting names of individual victims, what we have is a record linkage problem. And so we have multiple records that refer to the same individual. >> Okay. >> And so we work a lot with our academic partners to stay on top of the latest ways to de-duplicate databases, that might have multiple entries that refer to the same person. And so that's been really great lately. >> Okay. What are some of the methods that you've used in Syria to quantify mass violence and what have some of the outcomes been to date? >> So we rely primarily on methods from record linkage and that gets us to what we know and can observe. And then from there we need to build an estimate, what we don't know and what we can't observe, because inevitably in conflict violence, some of that violence is hidden. Some of those victims have not been identified or their stories have not been told yet. And it's our job as data scientists to use the tools at our disposal to estimate how much we don't know. And so for that step we use a class of statistical tools, called multiple systems estimation. And essentially what that does, is it builds on the patterns of data as they're collected by these multiple sources to model what the underlying population must have been. To generate what we were able to see. >> Okay. >> And so that's been the primary analysis we've done in Syria. And what we found from that analysis, is that as valuable and important as the documented data are, they often are overwhelmed, for example when violence peaks. It may be too dangerous and it may be impossible to accurately record how many people have been killed. >> Okay. >> And so we need a statistical model that can help us identify when data we observe seem to plateau, but perhaps our estimates tell us no, in fact that was a very violent period. And then we can dig in with field experts and interpret, was that a time when we know that territorial control was in contention. Or was that a time when we know, that there were clashes between certain groups. And so then we can infer further from that about responsibility for violence. >> So applying some additional attributers. Things that are attributing to this. What are some of the differences that you think that this has made so far? >> What I hope this has done so far, is simply to raise awareness about the scale of the violence that's happening in Syria. And what I hope ultimately, is that it helps to attribute accountability to those who are responsible for this violence. >> You've also got some projects going on in Guatemala. Can you share a little bit about that? >> We do. Yeah, we have a couple of projects in Guatemala. The one that I've worked on most closely, is looking at the historic archive of the national police in Guatemala. And that's actually the project that I started working on when I joined HRDAG. And Guatemala suffered an armed internal conflict from 1960 to 1996. And during that time period, many witnesses came forward and said that the national police force participated in the violence, but at the time that the UN, the United Nations broke our peace treaties, they weren't able to find any documentary evidence of the role the police played. And then in 2005, quite by accident, this archive, that's this cache of the police forces bureaucratic documents was discovered. And so we've been studying it since then. And it's been this really fascinating problem, if you have this building full of millions and millions and millions of pieces of paper, that are not really organized in any way. And how do you go about studying that? And so we partnered with other experts from the American Statistical Association, to design a random sample of the archive, so that we could learn about it as quickly as possible. >> What are some of the learnings that you've discovered so far? >> What we've discovered so far is just the sheer magnitude of the archive and in particular the amount of documents that were generated during the conflict. And then the other thing that we have discovered is the communication flow. The pattern of documents being sent to and from leadership the National Police Force. And specifically, Patrick Ball testified about that communication flow, to help establish command responsibility for the former chief of police, for a kidnapping that occurred in 1984. >> Wow, incredibly impactful work. But you've got some things on the domestic frontier. With us a little bit about what you're working on stateside. >> We do, yeah. In the past year, we've started our first US based project, which we're really excited about. And it's looking at the algorithms that are being used both in predictive policing and in criminal justice risk assessment. So decisions like whether or not someone should get bail or pre trial hearings, things like that. And we've been working with partners, primarily lawyers, to help assess, sort of, how are those algorithms working and what's the underlying data that's being fed into those algorithms. And what's the ways in which that data are biased. And so the algorithms are replicating the bias that exists in the data. >> Tell me, how does that conversation go, as a statistician with a lawyer, who is, you know, a business person. What sort of educating do you need to do to them about the impact that this data can make and how imperative it is that it'd be accurate. >> Yeah, well those conversations are really interesting, because there's so much education going in both directions. Where both we are helping them to turn their substantive question into an analytical question and sort of develop it in a way that we can do an analysis to get at that question, but then they're also helping us to understand, what's the way in which this information needs to be conveyed, so that it holds up in court, and so that it establish some sort of precedence, so that they can make policy change. >> It makes me think of, sort of the topic or the skill of communication. A number of our guests this morning on the program and those that we've heard speaking today, talk about the traditional data scientist skills. You know hybrid, hacker, someone that has statistics, mathematical skills, but now really looking at somebody who also has to have other behavioral skills. Be able to be creative, interpretive, but also to communicate it. I'd love to get your perspective as you've seen data science evolve in your own career. How have you maybe trained your team on the importance of communicating this information, so that it has a value and it has impact? >> Absolutely. I think creativity and communication are probably the two most important skills for a data scientist to have these days and that's definitely something that on our team, you know, it's always a painful process, but every time we give a talk, if we're fortunate enough that it's been videoed, we always have to go back and watch that. And I recommend to my teammates to do it quietly at home alone, maybe with their preferred beverage of choice, but that's the way that you learn and you discover, oh I could have said that differently or I could have said that another way, or I could have thought about a different way to present that, because I do think that that's absolutely vital. >> I'm just curious what you're perspective is from a curriculum standpoint, we've got a lot of students here, we've got some professors here. Is there something that you would recommend as part of ... Look back to your education. Would you think, you know what, being able to understand statistics is one thing, I need to be able to communicate it. Was that something that was part of your curriculum or something that you think, you know what, that's a vital component of this? >> It's absolutely a vital component. It was not part of my formal curriculum, but it was something that I got out of graduate school, because I was very lucky that I got to teach, essentially statistics 101 to introductory Public Health students. So they were graduate students, but there were a lot of students who maybe hadn't had a math class in a decade and were fairly math phobic. >> Lisa: Sounds like me. (both laughing) >> We could, you know, hold hands and get through it together. >> Okay, oh good. Beverage of my choice, awesome. (laughs) >> Exactly. And I really feel like that was what improved my communication skills, was experience with those students and thinking about how to convey the information to that class and going in day after day and designing that curriculum and really thinking about how to teach that class, is really the way that I have learned my communication skills. >> Oh that's fab. That real world experience, there's nothing that beats that. What are some of the things that have excited you about participating in (mumbles) this year? >> Oh my gosh, it is so much fun to be in an audience and to speak to an audience, that is so predominantly female. I mean of course, that's not something that we get to do very often. And so young, I mean this audience is really full of very energetic, ready to go tackle the world's problems women and it's very invigorating for me. It helps me to kind of go back and think, alright how can we do more and do bigger and create more opportunities for these folks to fill? >> It's a very symbiotic relationship, I think. They learn so much from you and you're learning so much from them. It's really nice. You can feel it. Right, you can feel it here in this environment. >> Absolutely. >> Well, Megan, thank you so much for joining us on the program today. We wish you the best of luck with HRDAG and your impending new little girl. >> Thank you. (laughs) I appreciate that. >> Absolutely. Well we thank you for watching the Cube. Again, we're live at the Women and Data Science Conference at Stanford University, second annual event. Stick around, we'll be right back. (upbeat music)

Published Date : Feb 3 2017

SUMMARY :

It's the Cube covering are at the second annual It's so exciting to have you here. school is the direction you should go in", and some guts to go, It's true, yeah. So talk to us about some of the ... And so that was about 25 years ago. What are some of the things And to answer those questions, you have to that at the end of the day say for the conflict in Syria. and the Violations Documentation Center. and the tools that you have? and that is the human And so we work a lot of the outcomes been to date? And so for that step we use And so that's been the primary analysis And so then we can infer further from that Things that are attributing to this. is that it helps to Can you share a little bit about that? forward and said that the that we have discovered on the domestic frontier. that exists in the data. the impact that this data can and so that it establish so that it has a value and it has impact? that's the way that you learn or something that you that I got to teach, Lisa: Sounds like me. We could, you know, hold hands Beverage of my choice, awesome. that was what improved What are some of the things and to speak to an audience, They learn so much from you and you're the program today. I appreciate that. Well we thank you for watching the Cube.

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Finale Doshi-Velez, Harvard University | Women in Data Science 2017


 

>> Announcer: Live, from Stanford University, it's theCUBE, covering the Women in Data Science Conference 2017. (upbeat music) >> Hi and welcome back to theCUBE, I'm Lisa Martin and we are at Stanford University for the second annual Women in Data Science Conference. Fantastic event with leaders from all different industries. Next we're joined by Finale Doshi-Velez. You are the Associate Professor of Computer Science at Harvard University. Welcome to the program. >> Excited to be here. >> You're a technical speaker so give us a little bit of insight as to what some of the attendees, those that are attending live and those that are watching the livestream across 75 locations. What are some of the key highlights from your talk that they're going to learn? >> So my main area is working on machine learning for healthcare applications and what I really want people to take away from my talk is all the needs and opportunities there are for data science to benefit patients in very very tangible ways. There's so much power that you can use with data science these days and I think we should be applying it to problems that really matter, like healthcare. >> Absolutely, absolutely. So talking about healthcare you kind of see the intersection, that's your big focus, is the intersection of machine learning and healthcare. What does that intersection look like from a real world applicability perspective? What are some of the big challenges? And can you talk about maybe specific diseases that you're maybe working on-- >> Sure, absolutely. So I'll tell you about two examples. One example that we're working on is with autism spectrum disorder. And as the name suggests, it's a really broad spectrum. And so things that might work well for one sort of child might not work for a different sort of child. And we're using big data and machine learning to figure out what are the natural categories here and once we can divide this disease into subgroups, we can maybe do better treatment, better prognosis for these children, rather than lumping them into this big bucket-- >> Lisa: And treating everybody the same? >> Exactly. >> Lisa: Right. >> And another area we're working on is personalizing treatment selection for patients with HIV and with depression. And again, in these cases, there's a lot of heterogeneity in how people respond to the diseases. >> Lisa: Right. >> And with the large data sets that we now have available, we actually have huge opportunities in getting the right treatments to the right people. >> That's fantastic, so exciting. And it's really leveraging data as a change agent to really improve the lives of patients. >> Finale: Absolutely. >> From a human interaction perspective, we hear that machine learning is going to replace jobs. It's really kind of a known fact. But human insight is still quite important. Can you share with us-- >> Finale: Absolutely. >> where the machines and the humans come into play to help some of these dis-- >> Yes, so a big area that we work on is actually in formalizing notions of interpretability because in the healthcare setting, the data that I use is really really poor quality. There's lots of it. It's collected in a standard of care everyday but it's biased, it's messy. And you really need the clinician to be able to vet the suggestions that the agent is making. Because there might be some bias, some confounder, some reason why the suggestions actually don't make sense at all. And so a big area that we're looking at is how do you make these algorithms interpretable to domain experts such as clinicians, but not data experts. And so this is a really important area. And I don't see that clinician being replaced anytime soon in this process. But what we're allowing them to do is look at things that they couldn't look at before. They're not able to look at the entire patient's record. They certainly can't look at all the patient records for the entire hospital system when making recommendations. But they're still going to be necessary because you also need to talk to the patient and figure out what are their needs, do they care about a drug, that might cause weight gain for example, when treating depression. And all of these sorts of things. Those are not factors again that the machine are going to be able to take over. >> Lisa: Right. >> But it's really an ecosystem where you need both of these agents to get the best care possible. >> Got it, that's interesting. From an experimentation perspective, are you running these different experiments simultaneously, how do you focus your priorities, on the autism side, on the depression side? >> I see, well I have a lab, so that helps makes things easy. >> Lisa: Yup, you got it. >> I have some students working on some projects-- >> Lisa: Excellent >> And some students working on other projects, And we really, we follow the data. My collaborations are largely chosen based on areas where there are data available and we believe we can make an impact. >> Fantastic, speaking of your students, I'd love to understand a little bit more. You teach computer science to undergrads. >> Yes. >> As we look at how we're at this really inflection point with data science; there's so much that can be done in that, to your point, in tangible ways the differences that we can make. Kids that are undergrads at Harvard these days grew up with technology and the ability to get something like that; we didn't. So what are some of the things that have influenced them to want to become the next generation of computer or data scientists? >> I mean, I think most of them just realize that computers and data are essential in whatever field they are. They don't necessarily come to Harvard thinking that they're going to become data scientists. But in whatever field that they end up in, whether it's economics or government, they quickly realize, or business, they quickly realize that data is very important. So they end up in my undergraduate machine learning course. And for these students, my main focus is just to teach them, what the science, what the field can do, and also what the field can't do. And teach them that with great power comes great responsibility. So we're really focused on evaluation and just understanding on how to use these methods properly. >> So looking at kind of traditional computer, data science skills: data analytics, being able to interpret, mathematics, statistics, what are some of the new emerging skills that the future generation of data and computer scientists needs to have, especially related to the social skills and communication? >> So I think that communication is absolutely essential. At Harvard, I think we're fortunate because most of these people are already in a different field. They're also taking data science so they're already very good at communicating. >> Lisa: Okay. >> Because they're already thinking about some other area they want to apply in. >> So they've got, they're getting really a good breadth. >> They're getting a really great breadth, but in general, I think it is on us, the data scientists, to figure out how do we explain the assumptions in our algorithms to people who are not experts again in data science, because that could have really huge downstream effects. >> Absolutely. I like what you said that these kids understand that the computers and technology are important whatever they do. We've got a great cross section of speakers at this event that are people of, that are influencing this in retail, in healthcare, in education, and as well as in sports technology, on the venture capital side. And it really shows you that this day and age, everything is technology, every company we're in, we're sitting in Silicon Valley of course, where a car company is a technology company. But that's a great point that the next generation understands that it's prolific. I can't do anything without understanding this and knowing how to communicate it. So from your background perspective, were you a STEM kid from way back and you really just loved math and science? Is that what shaped your career? >> So I grew up in a family with like 15 generations back, accounting, finance, small business, and I was like, I'm never going to do any of this. (Lisa laughs) I am going to do something completely different. >> Lisa: You were determined, right. >> And so now I'm a data scientist. (laughing) >> At Harvard, that's pretty good, they must be proud. >> Working on healthcare applications. So I think numbers were definitely very much part of my upbringing, from the beginning. But one thing that I think did take a while for me to put together is that I came from a family where my great uncle was part of India's independence movement. My role models were people like Martin Luther King and Mother Teresa and I liked numbers. >> Lisa: Yeah. >> And, like how to put those together? And I think it definitely took me a while to figure out okay, how do you deliver those warm fuzzies with like cold hard facts. >> Lisa: Right. >> And I'm really glad that we're in a place today where the sort of skills that I have can be used to do enormous social good. >> What are some of the things that you're most excited about about this particular conference and being involved here? >> So I think conferences like these, like the Women in Data Science, I'm also involved in the Women in Machine Learning Conference, are a tremendous opportunity for people to find mentors and cohorts. So I went to my first Women in Machine Learning Conference over 10 years ago, and those are the people I still talk to whenever I need career advice, when I'm trying to figure out what I want to do with my research and what directions, or just general support. And when you're in a field where you maybe don't see that many women around you, it's great to have this connection so that you can draw on that wherever you end up. Your workplace may or may not have that many women but you know that they're out there and you can get support. >> Now that there's so much data available, a lot of the spirit of corporations that use data as a change agent have adopted cultures or tried, of try it, it might fail, but we're going to learn something from this. Do you see that mentality in your students about being free or being confident enough to try experiments and if they fail, take learnings from it and move forward as a positive? >> I mean, certainly that's what I try to teach my students. >> Lisa: Yeah, yeah. >> My graduate students I tell them, I expect you to make consistent progress. Progress includes failure if you can explain why it failed. And that's huge, that's how we learn and that's how we develop new algorithms, absolutely. >> Yeah, and I think that confidence is a key factor. You mention that Women in Machine Learning Conference, you've been involved in that for 10 years, how have you seen women's perspectives, maybe confidence evolve and change and grow as a result of this continued networking? Are you seeing people become more confident-- >> Finale: I think so. >> To be able to try things and experiments. >> I mean certainly, as people stay involved in the field, I've noticed that you develop that network, you develop that confidence, it's amazing. The first event had less than a hundred people. The last event that we had had over 500 people. The number of people at just the Women in Machine Learning event, was the same as the number of people at the entire conference 10 years ago. >> Right. >> Right, and so the field has grown but the number of women involved that you see through this events like WIDS and WIML I think is enormous. >> And the great thing that's happening here at WIDS 2017 is it's being live streamed. >> Finale: Right. >> Over 75 locations. >> So it's accessible to so many people. >> Exactly. >> Yes. >> We're expecting up to 6,000 people on the live stream. So the reach and the extension is truly global. >> Which is fantastic. >> It is fantastic and just the breadth of speakers that are here to influence. You mentioned a couple of your key influencers: Martin Luther King and Mother Teresa. From an education perspective, when you were trying to figure out your love of math and numbers and that, who were some of the people in your early career that were really inspiring and helped you gain that confidence that you would need to do what you're doing? >> So I think if I had to pick one person, it was probably a professor at MIT that I interacted quite a bit in my undergrad and continued to mentor me, Leslie Kaelbling, who is just absolutely fearless in just telling people to follow their passions. Because we really are super privileged as was mentioned earlier: we lose our jobs, we can just get another one. >> Lisa: Right. >> Right? And our skills are so in need that we can and we should try to do amazing things that we care about. And I think that message really stayed with me. >> Absolutely. >> So you got research going on in autism. You mentioned depression. What's next for you? What are some of your next interests? Cancer research, other things like that? >> So I'm actually really interested in mental health because I think that that's, you know, talk about messy spaces, in terms of data. (laughing) It's very hard to quantify but it has a huge, huge burden both to the people who suffer from mental health disorders, which is like close to 15 percent, 20 percent, depending on how you count. But also it has a huge burden on everyone else too, on like lost work, on the people around them. And so we're working with depression and autism, as I mentioned. And we're hoping to branch out into other neurodevelopmental disorders, as well as adult psychiatric disorders. And I feel like in this phase, it's even harder to find the right treatments. And the treatments take so long to test, six to eight weeks. And it can be so hard to keep up the morale, to keep trying out a treatment when your disorder is one that makes it hard to keep up trying whatever you need to try. >> Lisa: Right. >> So that's an area that I'm really focusing on these days. >> Well then your passion is clearly there. That intersection of machine learning and healthcare. You're right, you're talking about something that maybe isn't talked about nearly as much as some of other big diseases but it's one that is prolific. It affects so many. And it's exciting to know that there are people out there like you who really have a passion for that and are using data as a change agent to help current generations and future to come. So Finale, such a pleasure to have you on theCUBE. We wish you the best of luck in your technical talk and know that you're going to be mentoring a lot of people from far and wide. >> Thank you, my pleasure to be here. >> Absolutely, so I'm Lisa Martin. You've been watching theCUBE. We are live at the Women in Data Science Conference at Stanford University, but stick around, we'll be right back. (upbeat music)

Published Date : Feb 3 2017

SUMMARY :

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Janet George, Western Digital | Women in Data Science 2017


 

>> Male Voiceover: Live from Stanford University, it's The Cube covering the Women in Data Science Conference 2017. >> Hi, welcome back to The Cube, I'm Lisa Martin and we are live at Stanford University at the second annual Women in Data Science Technical Conference. It's a one day event here, incredibly inspiring morning we've had. We're joined by Janet George, who is the chief data scientist at Western Digital. Janet, welcome to the show. >> Thank you very much. >> You're a speaker at-- >> Very happy to be here. >> We're very happy to have you. You're a speaker at this event and we want to talk about what you're going to be talking about. Industrialized data science. What is that? >> Industrialized data science is mostly about how data science is applied in the industry. It's less about more research work, but it's more about practical application of industry use cases in which we actually apply machine learning and artificial intelligence. >> What are some of the use cases at Western Digital for that application? >> One of the use case that we use is, we are in the business of creating new technology nodes and for creating new technology nodes we actually create a lot of data. And with that data, we actually look at, can we understand pattern recognition at very large scale? We're talking millions of wafers. Can we understand memory holes? The shape, the type, the curvature, circularity, radius, can we detect these patterns at scale? And then how can we detect if the memory hole is warped or deformed and how can we have machine learning do that for us? We also look at things like correlations during the manufacturing process. Strong correlations, weak correlations, and we try to figure out interactions between different correlations. >> Fantastic. So if we look at big data, it's probably applicable across every industry. How has it helped to transform Western Digital, that's been an institution here in Silicon Valley for a while? >> We in Western Digital we move mountains of data. That's just part of our job, right? And so we are the leaders in storage technology, people store data in Western Digital products, and so data's inherently very familiar to us. We actually deal with data on a regular basis. And now we've started confronting our data with data science. And we started confronting our data with machine learning because we are very aware that artificial intelligence, machine learning can bring a different value to that data. We can look at the insides, we can develop intelligence about how we build our storage products. What we do with our storage. Failure analysis is a huge area for us. So we're really tapping into our data to figure out how can we make artificial intelligence and machine learning ingrained in the way we do work. >> So from a cultural perspective, you've really done a lot to evolve the culture of Western Digital to apply the learnings, to improve the values that you deliver to all of your customers. >> Yes, believe it or not, we've become a data-driven company. That's amazing, because we've invested in our own data, and we've said "Hey, if we are going to store the world's data, we need to lead, from a data perspective" and so we've sort of embraced machine learning and artificial intelligence. We've embraced new algorithms, technologies that's out there we can tap into to look at our data. >> So from a machine learning, human perspective, in storage manufacturing, is there still a dependence on human insight where storage manufacturing devices are concerned, or are you seeing the machine learning really, in this case, take more of a lead? >> No, I think humans play a huge role, right? Because these are domain experts. We're talking about Ph.D.'s in material science and device physics areas so what I see is the augmentation between machine learning and humans, and the domain experts. Domain experts will not be able to scale. When the scale of wafer production becomes very large. So let's talk about 3 million wafers. How is a machine going to physically look at all the failure patterns on those wafers? We're not going to be able to scale just having domain expertise. But taking our core domain expertise and using that as training data to build intelligence models that can inform the domain expert and be smart and come up with all the ideas, that's where we want to be. >> Excellent. So you talked a little bit about the manufacturing process. Who are some of the other constituents that you collaborate with as chief data scientist at Western Digital that are demanding access to data, marketing, etcetera, what are some of those key collaborators for your group? >> Many of our marketing department, as well as our customer service department, we also have collaborations going on with universities, but one of the things we found out was when a drive fails, and it goes to our customer, it's much better for us to figure out the failure. So we've started modeling out all the customer returns that we've received, and look at that and see "How can we predict the life cycle of our storage?" And get to those return possibilities or potential issues before it lands in the hands of customers. >> That's excellent. >> So that's one area we've been focusing quite a bit on, to look at the whole life cycle of failures. >> You also talked about collaborating with universities. Share a little bit about that in terms of, is there a program for internships for example? How are you helping to shape the next generation of computer scientists? >> We are very strongly embedded in universities. We usually have a very good internship program. Six to eight weeks, to 12 weeks in the summer, the interns come in. Ours is a little different where we treat our interns as real value add. They come in, and they're given a hypothesis, or problem domain that they need to go after. And within six to eight weeks, and they have access to tremendous amounts of data, so they get to play with all this industry data that they would never get to play with. They can quickly bring their academic background, or their academic learning to that data. We also take really hard research-ended problems or further out problems and we collaborate with universities on that, especially Stanford University, we've been doing great collaborations with them. I'm super encouraged with Feliz's work on computer vision, and we've been looking into things around deep neural networks. This is an area of great passion for me. I think the cognitive computing space is just started to open up and we have a lot to learn from neural networks and how they work and where the value can be added. >> Looking at, just want to explore the internship topic for a second. And we're at the second annual Women in Data Science Conference. There's a lot of young minds here, not just here in person, but in many cities across the globe. What are you seeing with some of the interns that come in? Are they confident enough to say "I'm getting access to real world data I wouldn't have access to in school", are they confident to play around with that, test out a hypothesis and fail? Or do they fear, "I need to get this right right away, this is my career at stake?" >> It's an interesting dichotomy because they have a really short time frame. That's an issue because of the time frame, and they have to quickly discover. Failing fast and learning fast is part of data science and I really think that we have to get to that point where we're really comfortable with failure, and the learning we get from the failure. Remember the light bulb was invented with 99% negative knowledge, so we have to get to that negative knowledge and treat that as learning. So we encourage a culture, we encourage a style of different learning cycles so we say, "What did we learn in the first learning cycle?" "What discoveries, what hypothesis did we figure out in the first learning cycle, which will then prepare our second learning cycle?" And we don't see it as a one-stop, rather more iterative form of work. Also with the internships, I think sometimes it's really essential to have critical thinking. And so the interns get that environment to learn critical thinking in the industry space. >> Tell us about, from a skills perspective, these are, you can share with us, presumably young people studying computer science, maybe engineering topics, what are some of the traditional data science skills that you think are still absolutely there? Maybe it's a hybrid of a hacker and someone who's got, great statistician background. What about the creative side and the ability to communicate? What's your ideal data scientist today? What are the embodiments of those? >> So this is a fantastic question, because I've been thinking about this a lot. I think the ideal data scientist is at the intersection of three circles. The first circle is really somebody who's very comfortable with data, mathematics, statistics, machine learning, that sort of thing. The second circle is in the intersection of implementation, engineering, computer science, electrical engineering, those backgrounds where they've had discipline. They understand that they can take complex math or complex algorithms and then actually implement them to get business value out of them. And the third circle is around business acumen, program management, critical thinking, really going deeper, asking the questions, explaining the results, very complex charts. The ability to visualize that data and understand the trends in that data. So it's the intersection of these very diverse disciplines, and somebody who has deep critical thinking and never gives up. (laughs) >> That's a great one, that never gives up. But looking at it, in that way, have you seen this, we're really here at a revolution, right? Have you seen that data science traditionalist role evolve into these three, the intersection of these three elements? >> Yeah, traditionally, if you did a lot of computer science, or you did a lot of math, you'd be considered a great data scientist. But if you don't have that business acumen, how do you look at the critical problems? How do you communicate what you found? How do you communicate that what you found actually matters in the scheme of things? Sometimes people talk about anomalies, and I always say "is the anomaly structured enough that I need to care about?" Is it systematic? Why should I care about this anomaly? Why is it different from an alert? If you have modeled all the behaviors, and you understand that this is a different anomaly than I've normally seen, and you must care about it. So you need to have business acumen to ask the right business questions and understand why that matters. >> So your background in computer science, your bachelor's Ph.D.? >> Bachelor's and master's in computer science, mathematics, and statistics, so I've got a combination of all of those and then my business experience comes from being in the field. >> Lisa: I was going to ask you that, how did you get that business acumen? Sounds like it was by in-field training, basically on-the-job? >> It was in the industry, it was on-the-job, I put myself in positions where I've had great opportunities and tackled great business problems that I had to go out and solve, very unique set of business problems that I had to dig deep into figuring out what the solutions were, and so then gained the experience from that. >> So going back to Western Digital, how you're leveraging data science to really evolve the company. You talked about the cultural evolution there, which we both were mentioning off-camera, is quite a feat because it's very challenging. Data from many angles, security, usage, is a board level, boardroom conversation. I'd love to understand, and you also talked about collaboration, so talk to us a little bit about how, and some of the ways, tangible ways, that data science and your team have helped evolve Western Digital. Improving products, improving services, improving revenue. >> I think of it as when an algorithm or a machine learning model is smart, it cannot be a threat. There's a difference between being smart and being a threat. It's smart when it actually provides value. It's a threat when it takes away or does something you would be wanting to do, and here I see that initially there's a lot of fear in the industry, and I think the fear is related to "oh, here's a new technology," and we've seen technologies come in and disrupt in a major way. And machine learning will make a lot of disruptions in the industry for sure. But I think that will cause a shift, or a change. Look at our phone industry, and how much the phone industry has gone through. We never complain that the smart phone is smarter than us. (laughs) We love the fact that the smartphone can show us maps and it can send us in the right, of course, it sends us in the wrong direction sometimes, most of the time it's pretty good. We've grown to rely on our cell phones. We've grown to rely on the smartness. I look at when technology becomes your partner, when technology becomes your ally, and when it actually becomes useful to you, there is a shift in culture. We start by saying "how do we earn the value of the humans?" How can machine learning, how can the algorithms we built, actually show you the difference? How can it come up with things you didn't see? How can it discover new things for you that will create a wow factor for you? And when it does create a wow factor for you, you will want more of it, so it's more, to me, it's most an intent-based progress, in terms of a culture change. You can't push any new technology on people. People will be reluctant to adapt. The only way you can, that people adopt to new technologies is when they the value of the technology instantly and then they become believers. It's a very grassroots-level change, if you will. >> For the foreseeable future, that from a fear perspective and maybe job security, that at least in the storage and manufacturing industry, people aren't going to be replaced by machines. You think it's going to maybe live together for a very long, long time? >> I totally agree. I think that it's going to augment the humans for a long, long time. I think that we will get over our fear, we worry that the humans, I think humans are incredibly powerful. We give way too little credit to ourselves. I think we have huge creative capacity. Machines do have processing capacity, they have very large scale processing capacity, and humans and machines can augment each other. I do believe that the time when we had computers and we relied on our computers for data processing. We're going to rely on computers for machine learning. We're going to get smarter, so we don't have to do all the automation and the daily grind of stuff. If you can predict, and that prediction can help you, and you can feed that prediction model some learning mechanism by reinforced learning or reading or ranking. Look at spam industry. We just taught the Spam-a-Guccis to become so good at catching spam, and we don't worry about the fact that they do the cleansing of that level of data for us and so we'll get to that stage first, and then we'll get better and better and better. I think humans have a natural tendency to step up, they always do. We've always, through many generations, we have always stepped up higher than where we were before, so this is going to make us step up further. We're going to demand more, we're going to invent more, we're going to create more. But it's not going to be, I don't see it as a real threat. The places where I see it as a threat is when the data has bias, or the data is manipulated, which exists even without machine learning. >> I love though, that the analogy that you're making is as technology is evolving, it's kind of a natural catalyst >> Janet: It is a natural catalyst. >> For us humans to evolve and learn and progress and that's a great cycle that you're-- >> Yeah, imagine how we did farming ten years ago, twenty years ago. Imagine how we drive our cars today than we did many years ago. Imagine the role of maps in our lives. Imagine the role of autonomous cars. This is a natural progression of the human race, that's how I see it, and you can see the younger, young people now are so natural for them, technology is so natural for them. They can tweet, and swipe, and that's the natural progression of the human race. I don't think we can stop that, I think we have to embrace that it's a gift. >> That's a great message, embracing it. It is a gift. Well, we wish you the best of luck this year at Western Digital, and thank you for inspiring us and probably many that are here and those that are watching the livestream. Janet George, thanks so much for being on The Cube. >> Thank you. >> Thank you for watching The Cube. We are again live from the second annual Women in Data Science conference at Stanford, I'm Lisa Martin, don't go away. We'll be right back. (upbeat electronic music)

Published Date : Feb 3 2017

SUMMARY :

it's The Cube covering the Women in I'm Lisa Martin and we are going to be talking about. data science is applied in the industry. One of the use case How has it helped to in the way we do work. apply the learnings, to to look at our data. that can inform the a little bit about the the things we found out quite a bit on, to look at the helping to shape the next started to open up and we but in many cities across the globe. That's an issue because of the time frame, the ability to communicate? So it's the intersection of the intersection of I always say "is the So your background in computer science, comes from being in the field. problems that I had to You talked about the how can the algorithms we built, that at least in the I do believe that the time of the human race, Well, we wish you the We are again live from the second annual

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