Presented By O’Reilly and Intel AI
Put AI to Work
April 29-30, 2018: Training
April 30-May 2, 2018: Tutorials & Conference
New York, NY
Ambika Sukla

Ambika Sukla
Executive Director, Morgan Stanley

Ambika Sukla heads Morgan Stanley’s AI and ML Center of Excellence, where he works on applying machine learning techniques to algorithmic trading, risk management, operations and compliance, and wealth and investment management and helps set the firm’s AI strategy. He has extensive experience in machine learning, including recommendation systems, classification and regression, clustering, anomaly detection, and optimal control. Ambika is a big proponent of unsupervised and semisupervised learning methods. His background is in signal processing and information theory. He holds a master’s degree in telecommunication engineering from NJIT.

Sessions

2:35pm–3:15pm Tuesday, May 1, 2018
Implementing AI, Models and Methods
Location: Nassau East/West
Ambika Sukla (Morgan Stanley)
Average rating: ****.
(4.00, 2 ratings)
Financial econometric models are usually handcrafted using a combination of statistical methods, stochastic calculus, and dynamic programming techniques. Ambika Sukla explains how recent advancements in AI can help simplify financial model building by carefully replacing complex mathematics with a data-driven incremental learning approach. Read more.