5th Annual Machine Learning in Quantitative Finance
20
Sep
-
22
Sep
2023
When
New York

USA
Where

This GFMI conference will provide key insights into how to cut through the noise and extract investable signals from NLP and alternative data. The conference will look at case studies of best use cases for machine learning in quantitative finance and how to systematically extract value and reduce cost through enhancing productivity. Thought leaders will consider the various risks and limitations of machine learning and alternative data and analyze how to overcome investor and executive reluctance through improving explainability. This conference will also look at how to augment human quantitative strategies with machine learning techniques to stay ahead of competition and enhance and speed up decision-making.

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