TensorFlow World 2019
October 28, 2019, Santa Clara, USA
TensorFlow World 2019
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Kemal El Moujahid interview (TensorFlow Meets)
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About speakers

Laurence Moroney
Staff Developer Advocate at Google
Kemal El Moujahid
Product Director, Tensor Flow at Google

Laurence is a developer advocate at Google working on machine learning and artificial intelligence. He's the author of dozens of programming books, and hundreds of articles. When not Googling, he's author of a best-selling Science Fiction book series, and a produced screenwriter.

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Entrepreneur, passionate about solving big problems with AI. Currently head of Product for TensorFlow, the world's leading open source machine learning platform.Previously at Facebook, leading the Messenger platform, connecting 20M businesses with 1.3B people, Wit.ai, the leading NLU developer platform, and M, Facebook's 200M MAU assistant.Prior to Google and Facebook, I built 3 companies in Fleet Management, Edtech, and Enterprise collaboration. I sold my last startup, LiveMinutes, to Fuze, a leading videoconferencing vendor, where I led Product and BD.

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About the talk

AI Advocate Laurence Moroney sits down with TensorFlow Director of Product Management Kemal El Moujahid following his keynote presentation at TensorFlow World.

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Hi everybody and welcome stencil world and this video. I have the privilege the chat with Kemal El moudjahid and you are a director here Google you've been talkin and the keynote today all about community and some of the great things that happened community in. I know you're fresh off like a trip around the world right now. He had a Roadshow going on cuz I'm very lucky to have me to go and and and go to confuse amazing places and meet with the community. I had the privilege to go amongst other places to Morocco

Ghana Shanghai and just meet with the local communities in here about what they were building using tensorflow and it was just incredible to hear the feedback both like the amazing things that use cases that they were coming up with things that we have would have never imagined which is one of the beauty of a working on a platform. I like tensorflow, but also hear the feedback and see how we can Organize the road cuz the the communities have been growing so much is global. And so, how can we best help? I can be nice, right? So it's like we had every continent and doing

this right and it was anyways, are you listening to us? So we had 11 events across five continents and we hurt so much feedback, which really helped us think about how can we help the community. It came down to three different things, you know, you want to help the community connect to and discover the the rest of the community and see what other people I have been building and I'm sure what they have done building. I think also really want to help the community learn with all these new wave of a new developers and Learners or neuter and Mal and can

contribute and want to make sure to help them learn about machine learning tensorflow and then we really want to help them contribute to give back and there's some awesome mechanism to do that until we're working on. I'm leaving those three things for Forecastle watching this video who would really love to connect what ways can they connect with? How can they get involved in the community? We have a passive 46 million down to earth 2100 contributors. And the reason why

we wanted to organize something like pencil world you wanted an event. It was really about the community so that the communication come connect to each other and discover what they were building and this process is actually started to happen organically, the tensile user groups which started appearing State 7 months ago. And now we have 50 of them do the largest one is inquiry out with 46,000 users. Wow, really? And so are your chances are that they might not have it where you live but their tents for users.

If you're interested in and creating such as a group, we really want to help that's one clear way that you can you can get into Community notice. Is that like I'm quite visible in the community between YouTube and teaching classes. So lots of people have reached out to me on LinkedIn and I see all these like little communities forming of people helping each other during study groups and all of that kind of thing and you had mentioned that organic growth and I find that really magical that's really amazing. That's one of the things that the most exciting about building a community

like tensorflow as you can see they were people interested in this room types of Youth cases that you wouldn't have thought about connecting with people were ml specialist. And when that connection happens does amazing use cases are born and it's really something that we want to encourage individuals. We want to hear that businesses want to get involved in Enterprises want to get involved and learn how they can use ML and I know this a mattress in that space 2 Heard that it might be a good problem to

solve I would machine learning but we don't actually know where to start and on the other hand we hear from Partners we say well, you know really going to machine learning and reluctance of flowing your how can you can you connect us with Enterprise it would have those needs and so this is why we launched you trusted partner pilot program to help connect Enterprises who have a business problem. You could be resolved with a male attention flow Partners who know how to do that. But I already what are or you can learn more about

that has been some really interesting use cases in the insurance industry and Global med tech industry. And again, if your business and interested in getting involved in 2, ml, I think the Staggering statistic that is going to add $13 to the global economy in the next 10 years. NN right now and prices are just starting their transition to machine learning. So now it's a really good time to start investing and if you need help, then you can reach out to distress partner. Also another

side of that which were excited about is if you're a part of yourself and you want to get visibility and you want to help Enterprises would do machine learning with tensorflow in should totally Reach Out cool. So then does the second thing you mentioned was like for people to learn. So there's the folks who would love to be part of these communities, but they're not there yet. They don't they're not up to speed and they don't have the knowledge yet. But we want to make it as easy as possible for them to learn. So what's going on in that space

on on education material and fishing with deep learning AI to just help on board this new generation of she learning practitioners and make sure that you know regardless of what their price. Experience with machine learning do you get to join the community and contribute to really excited to see this new horse wanting and thank you Lord for helping with that and hundreds of thousands of people just completing these courses and then starting to apply machine learning to real-life problems. It does business to me this this interesting stress going on. Why does all of this inspiration about these

things that you can do on the one hand and then us trying to show people that they can do it as well. There's no imposter syndrome people can learn people can do this for themselves. And then when these two things come together communities are foam communities grow and let the magical stuff you mentioned on machine learning is again because do stools are becoming so accessible as soon as easy to use and there's so much education content available. We just launched Arlo. IML web

web page on the website which organizes all these educational materials for you and it's organized by level so you can be a guitar beginner or Advanced right away. And then it's all organized, you know the videos and the books in the Torah toriel's which lead you to being able to apply machine to solve your curious case in the website and iTunes tensorflow. Org taking the next step in actually contributed to act of the community in those lots of great stuff going on there that you spoke about in the keynote and could you give us a quick summary? Yes, so I would say

the first we have I didn't know 126 E's reveal of GTR Gigi's they're amazing and they've been organizing so much awesome things happening the community. Being the doctors Prince, which is a new thing this year. We've been hearing those amazing stories of your group's organizing to translate documents or update documents for two-point know you're going through power outages and staying there and just making sure that they finish their Doctrine actually translate documents on your phone now,

so I mean this is incredibly inspiring and we really want to support that. So if there's something that I actually heard when I was in Morocco like where is the documentation in Arabic for for tensorflow? Well, you know, if you're interested in translating the documentation whether it's an Arabic or another language that's not available. Then you can reach out and Deedee's can can help you organize a dog's brain right brain. What's great about this is that with tensorflow generally being open source this so many ways that someone can contribute right at the Docks Presley's Mansion people can

check to see if they can check source code into the product. There is like being able to build models and distribute them by things like tensorflow how their sister so many ways right code was pretty special interest groups or 6 which focus on specific parts offencive for that you and your users might be more passionate about and so we have 11 things now are going from Iona twerking to specific languages like, you know carrots with swift. So that's one area to another really exciting way to contribute is actually true

competitions and so back in the dep Summit in March. We lost our 2.0 hackathon on death post. Okay, and we've had some amazing contributions and for the Grand Prize winners, we were going to fly them to identify the world. And so that's what we did and we had actually two recipients of Victor and Kyle. Okay Victor work on GPS. I'll work on anybody. So it's really nice to see you know, oldest contribution and and all these projects and to be able to to host the winter is here and

one thing we heard I heard also and listening to her. It will say. Oh, oh we missed it. We we really wanted to do this hackathon was going on and we missed as well as the next one just started as you know, and so we just want to know if I could turn on deck post and we we we we are looking forward to see what people are going to build that you don't have to be an expert yet right get up to speed learn these things try at a hackathon. It's often. It's the most creative ideas as opposed to the most skilled people that I see when I love that. Absolutely I think

looking through what other people have built getting inspired by your own experience and what you see around yourself in the problems that you're passionate about and then Taking a two electrons to flow and with all the educational resources are available is really the magic of a platform. Right? And so I watch this video get involved in some way or another. When would you recommend that they go to check things out then so slow. Org movie action items that you can take

what I would like to say is really there's an email Revolution happening. The community is growing join the movement. It doesn't matter whether you know, you're an MLM PhD or you're just getting started or your developer with an idea there. There's just a lot to do for everyone the community is really growing. So join you show me the revolution with tensorflow has never been a better time never been. So thank you so much chamomile, and thanks everybody for watching this episode have any questions for me. If you have any questions for him, I'll just leave them in the comments below and we'll

be sure to reach Thanks again. Thank you.

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