Practical Considerations for Use of Machine Learning Models in Banking

This session explores the application of machine learning in risk management, designed specifically for executive leadership. It examines how machine learning models can outperform traditional decisioning tools across credit decisions, account management, and collections. The discussion also addresses how leaders should govern the use of advanced models, balancing performance with transparency, and navigating regulatory and compliance considerations arising from model explainability.