Keynote by Charles Elkan, Goldman Sachs - Machine Learning in Finance - The Promise and The Peril

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This session was recorded in NYC on October 22nd, 2019.

Machine learning in finance—the promise and the peril
This talk will discuss how machine learning (ML) fits into the landscape of quantitative methods used in finance, and draw conclusions about application domains where ML is more promising versus domains where the perils are more acute. The talk will also discuss how to formulate a financial goal as an ML problem, and how to choose between solution approaches.

Bio: Leading projects to apply machine learning and artificial intelligence across the firm. Evaluating opportunities to work with other organizations and consulting with clients.