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AI & Data Science in Trading
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 Export to Your Calendar 3/16/2020 to 3/18/2020
When: March 16-18, 2020
Where: Metropolitan Pavilion
125 West 18th Street
New York, NY  10011

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AI & Data Science in Trading

The most important gathering of AI experts in Capital Markets


Workshop day - March 16, 2020

Conference & Expo March 17-18, 2020


Metropolitan Pavilion, 125 West 18th Street, New York, NY 10011


Long Description:


AI & Data Science in Trading brings together experts in the use of AI and advanced data analytic techniques within asset management, primarily for finding alpha, managing risk and optimizing portfolios.


Now in its fifth edition, rotating between the global financial hubs of NYC and London, this high level conference provides cutting edge sessions from asset managers and investment banks with plenary sessions in the mornings and three parallel streams each afternoon.  Over 100 world-class speakers are selected by our Advisory Board to share their knowledge and experience in both solo and interactive panel sessions.


New for NYC 2020, alongside the conference, a free-to-attend exhibition provides an opportunity for delegates and visitors to meet suppliers of relevant products to discuss and demonstrate cutting edge solutions.  In addition to the stands, the exhibition includes a free seminar program where leading speakers share case studies and latest developments.


The combination of high level conference and a free exhibition allows funds and IBs to send a handful of relevant technical staff to the conference, while a much larger group can visit the exhibition for a specific project or to search for a vendor.  As the event is centrally located in the world’s largest financial hub, staff can easily visit for a few hours during the day with minimal expense or business disruption.


Topics include:

•          Risk Management & Regulation

•          Quant for Fundamentals

•          Quantitative Methods

•          Use of Alternative Data

•          Artificial Intelligence

•          Technology, Infrastructure & Innovation


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