New York Fed Eyes Machine Learning to Predict Misreporting

The Federal Reserve Bank of New York is turning to machine learning to cut down on the back and forth between the regulator and banks and predict potential misreporting.

Sri Malladi, senior director at the New York Fed’s data and statistics group, said during the Waters USA conference in Manhattan that the regulator’s long-term goal with machine learning is to be able to predict potential issues with banks’ reporting.

“We want to be at the point where we know that distribution expert reports