The Artificially Intelligent Fund Conference will be held from December 4 – 6 2017 in Manhattan, right in the heart of New York City.
Join experts from J.P. Morgan, Deutsche Bank, AB, Quantopian, NASDAQ, UBS O’Connor, CIT, and qplum who will uncover the emerging trends and investment models that leverage artificial intelligence, machine learning, and deep learning to generate consistently better returns than traditional methodologies. Explore the potential risks and pitfalls of these approaches and find out the necessary infrastructure and how to build it to integrate AI into your investment models.
There are two main conference days (December 4-5) and then one workshop day. You can purchase separate tickets or bundle them for the whole event. Check out the agenda and speaker line up here.
Quantopian's Academia and Data Science Lead, Max Margenot, will be presenting "How AI & Deep Learning Can Learn Your Past Successful Trades and Replicate It Forward" at 11:30am on Conference Day 2, December 5th.