This document is a summary of a presentation by Sri Krishnamurthy on key considerations for AI/ML model governance. The presentation covered 10 best practices for an effective model risk management program, including adopting a framework-driven approach, customizing the program to the organization, defining roles and responsibilities, integrating model risk management into the model lifecycle, and monitoring model health. It also provided a case study on sentiment analysis of earnings calls using various APIs and building an internal model. The presentation emphasized challenges in moving models from development to production and the need for fairness, explainability and tracking of models.