>> from Palo Alto, California It's the Cube covering the em where women transforming technology twenty nineteen Brought to You by V. M. >> Where >> Hi, Lisa Martin on the ground of'Em were in Palo Alto, California, at the fourth Annual Women Transforming Technology Event, or W T. Squared one of my absolute favorite events to cover. And I'm pleased to welcome from one of the sponsors, Jennifer Cohen, the vice president of operations at Toyota Research Institute. Welcome to the Cube. >> Thank you, is that I'm really excited to be here to >> This is such a great event. It's It's morning time. You and I both have a lot of energy coming from even before you walk into the keynote here. Collaboration. The positive spirit, the energy, all of these women talking about and menas well past experiences. It's you walk in, and the energy of Deputy squared is palpable. This is your fourth year. So you being here now at all four >> have, and that's why I keep coming back because the energy here is so good because every year I walk away with tips I can use at work and in my personal life, championing diversity >> and diversity inclusion one of the tracks here, as well as trucks like helping emerging leadership the younger generation, which is key because the attrition rates in technology are so, so high. Tell me a little bit about Tech Toyota Research Institute, Terra What you guys doing? And what made it important for tea Right to sponsor W T Square this year. So Toyota Research >> Institute is a subsidiary of China. We're working on a really exciting things like autonomous driving robotics to help elders, agent place and material sciences. So it's really exciting next level stuff. And it's thrilling to kind of coming to work every day on things that we've been hearing about in the world. And now they're real world things, not just the Jetsons, you know? Yes. >> And so you were here as I mentioned the last three years. But last year, uh, when you were here, you were saying a minute ago. You leave this event every year with really useful kind of we'LL put it into tech terms act personal insights, absolutely clueless about your conversations at Tier I that where they said yes, this is an important event for us to >> sponsor, absolutely so that when I When I came back last year, I had brought a couple of folks from T. Ry to attend the event because I've been attending since the beginning. And as I said, every year I find something that I can bring back to the teams, if not multiple things. Andi weaken our chief diversity officer, Our senior chief of staff is also our diversity inclusion Head. She was very passionate about also supportive event. We're involved with Grace Hopper. We have a women's employee resource group. We're really putting our efforts our time here. They were glad to sponsor. And what was so exciting to walk into that room full of energy today and to see t rise logo up there? It was amazing. >> And I'm sure that for that you mentioned that there's about twelve of your your folks that are here that probably feel it's great that you're not just it's not just a logo. Now, this isn't just branding. This is actual. We're here, You're here. It's a focused, concerted effort. That tiara has an in fact when you join Tiara on the last couple of years, one of the things that inspired you was there's a Chena female leadership here, which is not >> common. No, it's definitely not definite, not common in my career. So one of the reasons I started at here I was because of my manager. Who's her name is Kelly K. She's our EVP and CFO, and she's an amazing leader and so on having the opportunity to go to another company. I wanted to go to one that makes a difference. Like tea, right? Look working to improve the quality of human life. And I wanted to work for somebody that I really respect. It could learn from on. It's been pretty rare in my career tohave women, female leaders to report to. So it's been amazing. And that, I think shows in the role that I have the role, that our chief of staff has Kelly's role and the fact that we're here today. It all flows through. >> So talking. Let's talk about more about flow as VP of operations tell me, like, for example, last year's W T squared what were some of the learnings that you brought back and used in your team, whether it's your management style or even hiring the next generation, >> so a few things that I've learned and not all of them are from last year. I'LL be honest. I'm not. All of them are ones I've just up like at you write. But some of them are things about management. Patty Vargas was here a couple years ago, talking about winds and challenges and really highlighting wins and every team meeting that something that it took back. And it well, it's not necessarily diversity. It's been transformational for me as a leader and really helpful to my team's. Then something. Other things I learned were about on, especially in a few years ago, about saying tohr, I'm not accepting any candidates until you have a diverse candidate pool. That's made a really big difference. And it's hard to say it's hard to stick with because it is hard to find women in technology. However, sticking with that has really helped in my career, hiring folks to have a more diverse team, >> so sticking with it, you've been in a technology for a long time. Tell me a little bit about your career path where you stem from the time you were a kid knowing I love computer science, or was it more zigzag ee >> Ah, little's exactly I was actually history, major say, But I always love technology. Back when we had trs eighties, I love technology. And so I actually started doing that to put myself through school, and I loved it so much. It's what I've stopped what's happened in technology for twenty five years, starting as health desk and systems administrator and moving my way up in my career over time, and every so often they still let me touch something technology and a firewall or some of my best. I keep a little bit of that skill set, but it is quarter who I am, and it's quarter Why I made it. Twenty five years sets >> a milestone. Congratulations, by >> the way, twenty five years in any industry that techno technology industry. I was reading some reports the other day upwards of forty five percent contrition, which is higher than any other industry. What have been some of the secrets to your Obviously I'm imagining persistence, but twenty five years is a long time to stick with anything, but you clearly have a passion for this, but I'm sure it hasn't been easy. Give us a little bit of an understanding and maybe some of those more challenging times you encountered. And how did you just kind of with that internal rules also know I'm I like technology. This is what I wanted. >> So, you know, it's always tough being the only woman in a room that's happened the bulk of my career, although thankfully, not a tear I but it has happened across and actually was the only woman at one company, and I thought it was gonna be a great opportunity. And I love the technology that we were doing. And I was excited Teo to infrastructure in operations and support it. And it was really a bad experience. And it wasn't imagine purposeful, but it was not great. And I was there a very short period time when I realized it wasn't gonna work and I had to take a real hard look. Don't want to keep doing this for a living. I do. I don't want to give up technology. So the right thing was to give up that company, right? And the right thing was t make sure that I stayed and what I loved, but not in the wrong spot. So I think being stubborn and persistent. Not being willing to give up the stuff that I love because the environment wasn't right was a huge part of why I have made it this far. And my daughter is a computer science major, and so I really want for her not to have to go through those things apart. The reason I come here today, what I'm excited about W T two is I want to make sure she has a far easier time of it than I had growing up. >> So was your daughter always >> an interested Or did she? Is she kind of following in Mom's footsteps? She >> wasn't the beginning. Actually, she don't want anything to do with it. And my mom's a c P A. And I don't want to do anything to find >> a way. >> So maybe a cool and her uncle, but never the parent, >> exactly. But as she took coding classes, she actually did Girls who code the seven week immersion camp she found like me that she loves it. So I think she'd like to not compare it to Mom. She doesn't want to hear Mom wars, but she absolutely has that same passion. She she loves to code and see the output and see the changes it can make in her life and potentially others. >> So she'd underground. Currently she is. You should give you anything back on the diversity in her. Yes, is she >> does. And I wish I could give you something inspiring. But unfortunately, she it's for four girls to forty guys. >> Okay, so maybe she has that. Maybe it's a DNA thing where she has that some people might say Stubbornness bad. However, I think you're a great example of how that can be, you know, sort of flipped that coin and look at it is persistence. What keeps her saying, I don't care that I'm for forty? >> I'm not sure. I think e think it's similarly the same thing that it's she's passing around and also she's had everybody's in lovely to her. She's had no mistreatment, so she's definitely loving it, but does notice that she's one of, you know, four out of forty. So but would you >> would you advise? And I, I know not like to say the next generation like your daughter's generation, but it's It's the generation of US women who are in technology now with the attrition rates. If they're in a situation, how would you advise him to recognize the experience that you shared with us? That this is situational? This is an industry wide. I'm not going to make a generalization. What would your advice be to them in terms of making that decision to not not leave? >> So I would say, actually, a mentor of mine told me when I was years ago at a company says, Do you like the work or do you do not like the work? Do you like the people do not like the people. If you don't like the people, you need to go somewhere else. But if you like the war, if you don't like the work here in the wrong industry and I like the work and I always have So I would say if you'd like the work, find the right opportunity and see what change you, Khun, doing the company that you're at. If you're at a company and things aren't right, have you to talk to a man in your manager HR there's ways tto see if you could fix it and if you can't, it's okay. Go somewhere else and do what you love. >> I love that it is. Okay, So one of the things that I'd loved digging on as well as you had gone to Terry's a HR and said, I'm not going to be looking at any candidates until you actually did >> a previous companies. But that is my stance since then, >> you know, >> it's without a diverse school, >> okay? And so what is diverse mean to you? What do you say to them? I know you can find us. >> Yes, Well, I diverse. I don't I don't want to dictate it. I just don't wanna have to, you know, the team's all be the same person. I think Joy is talking up the keynote right now about how important it is that we be careful of bias and that we look at those things and that we are having the people who build the technology be well rounded because this technology that's built here in the Valley goes all over the world has to serve everyone, not just the folks who build it. So I think it's having that same mindset going into it, goingto hiring >> one of and that's so important. And there's also debated. Is it a pipeline problem? I just read Emily changed Look proto Pia and where she kind of documents where that pipeline problem was created? Yes, many, many, many decades ago. And a lot of people would say it's a pipeline problem. But the majorities, the underrepresented, which isn't just women and people of absolutely well who say it's not a piper and problem this. And even if we look at a I, there's so many exciting possibilities. All the autonomous vehicle weren't that tear eyes doing, for example, that will impact everybody and jurors facial recognition? You know, there's probably people in the baby boomer, a generation that have iPhones with facial recognition. But the things that joy wish areas about the bias Easter thes malls being trained on, really, it gives me goose bumps. Didn't mind blowing more. People need to understand. We need better data and more diverse data, not just that to train the models to recognize more agree, but there needs to be lots of different, uh, data sets. So this inclusiveness and I think of diversity, inclusion. One of the things that I thought of when Joy was talking about inclusivity is its inclusivity of different data sets and different technologies, so that ultimately going forward, we can start reducing these biases and this technology that is all for good. >> And I think one of things that we've done is, you know, for our company, we actually had on all hands doing unconscious bias training like we are absolutely committed to making sure that we're thinking about those things on the idea if it's pipeline or if it's or or if it's not, I think it's a combination because the fact is, my daughter is in a class with four girls in forty men, and that's not necessarily, you know, there's no judgment there, but that's the reality. So there's pipeline. But I also think we can demand is hiring managers to have a diverse pool come to us? University isn't just I speak to women because that's what you know. That's my story. But there's not. There's, You know, we had those other kinds of diversity inclusion, you know, we have our G d l G B T. Q plus energy starts a lot of letters to get out at once. We have our women than allies. Yogi Employee resource Scripts were supporting that. It's here, I But I think, you know, we see people out there in the world all trying toe push forward on this. I think if we come out of these conferences and take those actions, that's how overtime it's going to get better. So that's my personal thought. >> I love that last question. What are you looking forward to? Taking away from Debbie U T squared for inclusive innovators as the >> well being of a company doing innovation? I'm really curious to see what's presented today, and I know that we've heard studies that talk about women, run companies and with women on board that profitability and innovation go up. So I think that the more inclusive we are, the better. All of our technology that comes out of the Valley is going to be so I'm looking forward to the whatever thought leadership is here today. That's different from each year that there's something different here that I learned it's not the same thing was Pipelines four years ago, right? Like the last year. It was a lot about women's leadership, so I'm really excited to see what comes out today. >> Well, Jennifer, I thank you so much for sharing some of your time on the kid with me today. And I think a lot of people are going to be able to learn a lot from us. Well, we appreciate your time. Thank you. My pleasure. Lisa Martin on the ground with the Cube. Thanks. For what?

>>from around the globe. It's the Cube with digital coverage of AWS >>reinvent 2020 sponsored >>by Intel, AWS and our community partners. Welcome back to the cubes. Virtual coverage of AWS reinvent 2020. It's virtual this year. We're not in person, so we're doing remote interviews. Part of the three weeks we'll be covering wall to wall a lot of great conversations. News to cover and joining me today Off Fresh off the news off Andy Jackson's keynote, We have two great guests here. Jason Kapoor, senior product manager for Accelerated Computing at A. W S and eight time Medina Chief business officer, Havana Labs, which was recently acquired by Intel Folks. Thanks for coming on, gentlemen. Thank you for spending the time for coming on the key. Appreciate it. >>Thanks for having us. >>J Town. So talk about the news, actually. Uh, computers changing. It's being reinvented. That's the theme from Andy's keynote. What did Andy announced? Could you take a minute to explain the announcement? What services? What ap What's gonna be supported? What's this about? Take a minute to explain. >>Yeah, absolutely. Yeah. So today >>we >>announced our plans to launch and easy to instance based on hardware accelerators from Havana labs. We expect these businesses to be available in the first time from next year. And these air custom designed for accelerating training off deep learning models, a zoo we all know like training of deep learning models is a really competition. Aly extensive task. Oftentimes it takes too long and cost too much. And we're really excited about getting these instances out of the market as we expect for them to provide up to 40% better price performance. Thani on top of the line GPU instances, >>a lot of improvements. Why did anybody do this? Why heaven or what's the what the working backwards document tell you? What is it customers looking for here is or specific use case? >>Yeah, absolutely. So, you know, over the years, uh, the use of machine learning and deep learning has, like, really skyrocketed, right? So we're seeing companies from all the way like 14, 500 to like start ups just reinventing their business models and use using deep learning more pervasively. Right. So we have companies like Pinterest, you know, you'd use deep learning for content recommendations and object detection to Toyota Research Institute that are advancing the science behind autonomous vehicles. And there's a consistent cream from a lot of these customers that are, you know, innovating in the deep learning space that you know the cost it takes to experiment, train and optimize the deep learning models. It's too high. And, you know, they're looking at us as one of their partners to help them optimize their costs, you know, bring them as well as possible while giving them really performing products and enable them to actually bring their markets, their innovations to market as soon as possible. Right? S o. Do you answer your questions straight on your wants? The working backwards. It's a feedback from customers that they want choice on. They want our help Thio lower. Uh, the amount of compute resources and the cost it takes to train the new planning models. >>Hey, Tom, why don't you weigh in here on Havana and now part of intel? What trends are driving this? What's the motivation? Were you guys fit in? What's your view on this? >>Yeah, So Havana was founded in 2016 to deliver a I processors for the data center and cloud for training and inference deep learning models. So while building chips is hard, building, the software and ecosystem is even harder. So joining forces with intel simply helps us connect the dots. Ever since the acquisition last year, we were able to significantly boost our armed. The resource is, and now we're leveraging inter scale in number of customers and ecosystem and partner support. >>So what's the name of the product? Is there a chip name got? Was it Gowdy is the name? >>Yes, the product is man angle. >>Okay. And so it's gonna be hardware. So it's the hardware software. What's involved? Take us through the product. >>Yes. So Gandhi was designed from the ground up to do one task which is training deep learning models. To do that well, we focus the architectural to aspect efficiency and scalability. The computer architectures is a combination of fully programmable TPC tensile process, of course, and a central g M n G. These DPC course are programmable Villa W seen the machines that we designed with custom instruction, set architecture, er and special functions that will developed specifically for a I. The Gandhi cheap integrates also 32 gigabyte off H B M to memory which makes it easy to port to. For GPU developers, Gandhi is unique in integrating 10 parts of 100 gigabit Internet rocky on cheap. And this is opposed to other architectural, which use proprietary interfaces. So overall, improving the cost performance is achieved through efficiency, namely higher utilization off the computer and memory resource is on cheap and the native integration off the rocky interfaces >>J Town. This is actually interesting, as this is the theme for reinvent. We're seeing it right on stage today. Play out again another command performance by Andy Jassy. Slew of announcements. How does Gowdy fit into the AI portfolio or Amazon strategy? Because what a town saying is it sounds like he's doing the heavy lifting on all this training stuff when people want to just get to the outcome. I mean, the theme has been, just let the product do what they do kind of put stuff under the covers and just let it scale. Is that the theme here is this. >>What does this >>all fit in? Take us through how this fits into the A, I strategy for Amazon and also what what what is Havana Intel bring to the table? >>Absolutely. Yeah. So with respect to our overall strategy and portfolio units, it's relatively straightforward, right? So we're laser focused on making sure we have the broadest and deepest portfolio off services for machine learning, right? So these range from infrastructure services specifically compute networking and storage all the way up to, like, managed and all services, which come with pre trained models and customers can simply invoke them using an A P. I call right eso. So from a strategy perspective, you want to make sure that we provide a customer to a choice, uh, enable them to pick the right platform for the right use case, help them get to the Khan structure they actually want, right eso with Havana. And you know, their acquisition with Intel, we finally have access to hardware software and the ability to kind of build out a ecosystem beyond what you know judicially is being used. Which is was a GP used right eso. So the engagement with with Havana, you know, allows us to take their products and capabilities, wrap it around, and easy to instance, which is what customers will be able to launch right on doing so. We're enabling them to tap into the innovation that Teton the rest of the Havana team are working on while having a solution that is integrated with the full AWS stack. Right? So you don't you don't have to rack in stock hard. Bring your data center thes. They're gonna be available standard. Easy to instances. You can just click and launch them. Get access to software that's already pre integrated and big den and ready to go right. Eso so it actually comes down to taking their innovations, coupling it with an AWS solution and making it too easy for customers together. I've been running with the respective training the deepened models. >>Well, here is the question that I want to get to. I think everyone's on everyone's mind is how is it Gowdy different or similar than other GPU? Specifically, you mentioned the software stack on the AWS What you get the software stack inside the chip. How is this different or similar? Two other GP use. And what's the difference between the software stack versus a traditional libraries? >>So from day one, we were focused on the software experience and we were mindful in the need to make it easy for developers to use the innovations we have in the hardware. Most developers, if not all of them, are using deep learning frameworks such as tensile flowing pytorch for building their deep learning models. So God is synapse AI software suite comes integrated and optimized for tensorflow and pilotage, so we expect most developers to be able to take their existing models and with minor changes to the training strips to be able to run them on Gowdy based instances. In addition, expert developers that are familiar with writing their own kernels will be provided with food too sweet for writing their own TPC kernels that can augment the Havana provided library. >>So that's the user experience for the developers, right? That's what you're saying >>exactly, exactly, and we will provide detailed guides for developers. In doing that, Havana will provide open access to documentation library software models and left toe Havana's kita and bi directional communication with the Havana developer community. All these resources will be available concurrently with the AWS Instances launch. >>Okay, so I'm a developer. How did I get involved? It's software on git hub I use the hardware is on Amazon, obviously, in their instances. It's a new instance. Take me through the workflow develop. I'm into this. I wanna I wanna get involved. What I what am I doing? Take me >>through? Yes, I think it s so If the developer is accustomed to using GPS for training the deep learning models three experience is gonna be practically the same, right? So they'll have multiple options to get started. One of them would be, for example, to take our deep learning, Um, it's or Amazon machine images that will come integrated with software from Havana labs. Right. So customers will take the deep Learning Army and launch it on an easy to instance, featuring the gaudy accelerators. Right? So when with that, they'll have, you know, the baseline construct off software and hardware available to get up and running with right, we'll support, you know, all different types of work flows. So if customers want to use containerized solutions, thes instances will be supported R E C s and E s services. Eso using containerized kubernetes you know, thes the solution will just work on. Lastly, we also intend to support these instances through sage maker eso. Just a quick recap on stage maker. That's a manage service that does end to end that provides end to end capabilities for training, debugging, building and deploying machine learning applications. Eso these instances will also be supporting sage maker. So if you're fiddling with sage maker, you can get up and running with this. This is fairly quickly. >>It sounds like it's gonna enable a lot of action and sage maker level. Then can that layer on the use cases? I gotta ask you guys quickly, What's the low hanging fruit use case applications for this product thing? This partnership, Because you know that's gonna be the first Traction said, What are some of these applications gonna be used for? What can we expect to see? >>So typical applications would be image classifications, object detection, natural language processing, the recommendation systems. You'll find reference models in our get up for that and will be growing at least a Z you can imagine. >>Okay, where can people find more info? Give us the data. Take him in to explain. Put a plug in for how What's all the coordinates? U r l sites support how people create, Um, how people get involved. The community. >>Yeah, so customers will be able to access information on AWS websites and also on Havana Labs website. So you will be kicking off a preview early next year. Eso I would highly recommend for customers to find our product pages and signed up for already access and previous information. Utah. >>Yes, and you'll find more information on Havana. A swell a Savannah's get up over time. >>Great announcement. Congratulations. Thanks for sharing the news and some commentary on it. This is really the big theme. You know what Cove in 19 and this pandemic has shown is massive acceleration of digital transformation and having the software and hardware out there that accelerates the heavy lifting and creates value around the data. Super valuable. Thanks for for doing that. Appreciate taking the time. Thank >>you so much. >>Yeah. Thanks for having >>us. Okay, this is the cubes coverage at 80. Best reinvent next three weeks. We're here on the ground. Will remote. We're live inside the studio. We wish we could be there in person, but it's remote this year. But stay tuned. Check out silicon angle dot com. Exclusive interviews with Andy Jassy and Amazon executives and the big news covering. They're all there in one spot. Check it out. We'll be back with more coverage after this break. Thanks for watching. Yeah.