AI Summit San Francisco 2019
September 26 2019, San Francisco, CA, United States
AI Summit San Francisco 2019
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Yves Chauvin - Director, Investment Data Management, AXA Rosenberg Equities
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Welcome to Addison's TV here from the AI Summit San Francisco 2019. We very few to be doing today by each division. How are you? 00:05 Yes, that's what I work for a company called axles and Berg equities and we do asset management. So we managed assets over the world 00:21 and title isn't the director of currency Investment Management. So how many students are from the from the ingestion to go to the models 00:31 with my hosta like Leverage AI Technologies 00:40 plus a general introduction 00:49

about what he means they've been doing it for more than 20 years. That was doing all that work. Should I cook a 25 years ago published the book on 00:59 these 20 20 years ago. I get some kind of perspective and 01:08 keeps on doing it and if I Reply to say that what was a 01:14 is Mona volution the Nueva Lucian. So it's a continuation of a set of tools that makes it possible for us to whoever Weds companies in to trade 01:24 companies near me 01:34 that's 01:34 interesting and the amount of data and the cost of a 01:46

computation of power. It's interesting to us to question what has not changed and it's interesting that the Yahoo isn't themselves. I'm not changed 01:56 very much for everything. He's called the back propagation. I'll go in and then there was 02:05 published for the first time about 20 years ago that still being used now for muscle machine. so in that sense, it's interesting that 02:15 stay the same and now they're being used for a short text or 02:25 between traditional pattern recognition in General Tso date 02:34

25 years ago would take me two seconds or less to milliseconds 02:39 now to find the same solution what have the major 02:49 strides being in the last couple of years for the for when I say we always use algorithms to 02:58 find values in companies on the guy, you know the value so machine learning that says no networks is a Taser International 03:08 Revolution the way we do so we have now this is us for years. So we use no network. She's 03:18 throughout to invest so that as being a changed and also we use more and more natural language processing. So 03:27

and we analyzed running calls and texts and we'll use one will send him and do that. Also being generated from text. So 03:37 I enter A lot of conversation here around kind of the trains going to see in the next year or two 03:47 years and he's like that. What what do you kind of predict that we received was within machine that it says about the application. So how it's going 03:57 to go to be be evolving than a 04:05 minute. There 04:07 is a lot of work to be done anyway to understanding language. I think you sent what we do now and if he's almost currently condition the text which is 04:17

very different from the people really understanding the main and we have been doing what we call the expert system which is in the way 04:27 taking the you know, that your people and pulling into software so that we can use neural networks on all natural language processing. It's always 04:36 using what people understand and putting back into the machine. So I think that's possible evolved natural language processing is going to be Solving 04:44 a Lockton understand language that's going to change. I think I hope 04:53

in the in the field itself in 04:58 all domain this trend of AI machine learning natural language processing. That's a major Trend muscle type of data related to the environment 05:08 is also going to change. So we all know climate change is a big thing. I know he's now a lot of convergence between using the techniques for 05:18 an auto put for you is also include on the environment. So we also converging that direction. 05:26

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