>> 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)