The Machine Learning Revolution

Published on
10 September, 2018
Topic
Financial System, Sentiment, Technology
Duration
25 minutes

The Machine Learning Revolution

Featuring Dr. Dario Villani

Dr. Dario Villani, CEO of Duality Group and the former global head of portfolio strategy and risk at Tudor Investment, explains the major hurdles and opportunities companies face when implementing machine learning. While machine learning is the backbone of many of the world’s biggest projects, from self-driving cars to the development of virtual assistants, Dario explains why it has yet to be successfully applied to the world of finance and investing. Filmed on June 19, 2018 in New York.

Published on
10 September, 2018
Topic
Financial System, Sentiment, Technology
Duration
25 minutes
Rating
41
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Comments

  • AE

    Alex E.

    16 9 2018 23:15

    0       0

    Seems to me that machines will take a very long time to learn how humans behave in finance and markets. While they may have predictive capabilities, I'm not aware of any machine programs that use Chaos Theory to predict illogical and irrational actions as fomented by human traders. As was demonstrated by the death of a female cyclist struck by a Tesla in auto-pilot, the human driver was given less than several seconds to respond to what the car thought was an anomaly. Don't see insurance rates going down for machine drivers either...

  • VS

    Victor S.

    12 9 2018 19:47

    2       0

    Now this was a “thinking piece”... Dario is a superior thinker indeed!!! One of the best you have ever shown. Thank you..

  • CK

    Charles K.

    12 9 2018 12:51

    0       0

    Tyz

  • ET

    Eduard T.

    12 9 2018 07:35

    2       1

    The speaker, Dr. Villani, should discuss some of the technical aspects of cutting edge machine learning. It would be nice to hear his thoughts on applications of techniques such as, (deep) reinforcement learning/Monte Carlo tree search and Bayesian neural networks to developing a algorithms akin to DeepMind's AlgoGo for quantitative trading portfolio management. And also would be interesting to know what kind of time series techniques his firm, Duality Group, is developing and some uses case examples. The video is good intent but lacks technical depth.

  • AC

    Andrew C.

    12 9 2018 04:41

    1       0

    Short the horse; daily noise versus signal in market movements; and others. On top of good information on machine learning, so much more in here to take away about general investing. Thanks Dr Dario and RVTV!

  • RN

    Robert N.

    11 9 2018 20:48

    0       0

    As an aside on how far you can take a model approach in the world of horse racing, this story from a while back is worth remembering: https://www.bloomberg.com/news/features/2018-05-03/the-gambler-who-cracked-the-horse-racing-code

  • JM

    Jan M.

    11 9 2018 20:09

    1       0

    Great stuff

  • RK

    Robert K.

    11 9 2018 14:59

    0       0

    Nice interview. The machines are competing with humans for "jobs" since the 18th century. It happens in bursts and the next brings probably more stress than the previous. Remember the Luddites (https://en.wikipedia.org/wiki/Luddite). The marginal cost of low value added menial (what this means is continuously redefined) tasks is zero.

  • bf

    bart f.

    11 9 2018 12:31

    1       0

    So to avoid an implosion of our system we need to move into a new societal structure where humans and machine do not compete as machines are much more efficient. But humans will not derive wealth from labour anymore (which is kind of already the case) so will capital be fairly shared between this “above the machine cast”? On top humans in their current state are linear, 2 dimension beings how will that fit with the quantum multiverse which machines will be evolving in?
    I am of limited intellect to find the answers but somehow I do see this ending with a bang.

  • RO

    Robert O.

    11 9 2018 04:20

    1       0

    When computers were first starting to get used by the general public, the question was how to get more done with this new tool. The question that later became more relevant was how to prevent bad actors from creating chaos or disrupting productive activities. I can imagine that once self-driving cars reach a critical mass with relatively uniform sensor and decision making technology that bad actors will again emerge with small inexpensive devices that could confuse these cars, similar to recent ransomware attacks. In the end the same advancing technology that can make cars safer could also be used to make cars more dangerous. This reminds me of an old quote concerning freedom and security; giving up the first does not guarentee the second.

  • CC

    Christopher C.

    11 9 2018 02:10

    2       0

    Great interview. The time will come very shortly where insurance for human driven cars is more expensive than that for self-driving cars. When systems which are progressing with geometric gains in power or efficiency by the time to you get to 2% done you are halfway home.

  • MA

    Mike A.

    10 9 2018 21:25

    1       2

    I like his optimism on machine learning but it seems to me that at this early stage, the limited successes of ML have been on problems with a massive amount of data that a human can do very easily. I am also not sure many of the discovered relationships machine learning has unearthed in some of these problems isn't just coincidence and not proven out over time to be a true discovery. There is a lot of promising work being done and it's another tool to try but whether it is a massive breakthrough or just a better statistical method when given a massive amount of data is inconclusive.

  • CD

    Cheryl D.

    10 9 2018 19:58

    0       0

    Excellent, really enjoyed that video. The autonomous vehicle space will be really interesting.

  • DS

    David S.

    10 9 2018 19:51

    2       0

    Great discussion. I am ready for self-driving cars with someone ready at the stirring wheel like a pilot on an airplane with autopilot. I really would not like to be a passenger on a plane without a pilot. I would also like a driver to step in and drive in case of the car being hacked, or other non-normal circumstances. DLS

  • DS

    David S.

    10 9 2018 19:40

    2       0

    Extraordinary introduction on machine learning. I am sure Mr. Villani has explained machine learning to the uninformed many times. His use of graphics, metaphor and personal experience really helped me understand his positions. Mr. Villani and RealVision are doing a great job. Thanks. DLS

  • SS

    Sam S.

    10 9 2018 18:29

    0       0

    The Jetsons, Lost In Space, 2001 Space Odyssey ---it's coming true and certainly has taken a lot of time. Now time is being compressed with the tools of technology changing so fast. Will we be better off in the journey of life? Can't fight it, so let's profit from it and stay engaged. Well done.

  • Sv

    Sid v.

    10 9 2018 17:50

    1       0

    Nice presentation. One comment for a Non-native English speaker is that adaptation and evolution are not the same word and have different meanings.

  • NG

    Nick G.

    10 9 2018 15:16

    0       0

    "The horse" is in fact the macro guy who is not data dependent. The outcomes are changing before his very eyes but he continues to shout "It will all end badly" into his ever diminishing account value.

  • V!

    Volatimothy !.

    10 9 2018 14:05

    1       3

    Humans creating machines to solve problems they can't solve. So isn't he saying short humans? Makes absolutely no sense to me.

  • TY

    Tyler Y.

    10 9 2018 12:55

    4       0

    You had me at, "There is no model. There are relationships that are elusive and they evolve over time. Very much like us evolving through evolution." Excellent walkthrough!

  • YB

    Yuriy B.

    10 9 2018 10:56

    3       0

    Bravo Real Vision! A masterpiece interview.