Dave Castillo, Managing Director - Firmwide Head of AI-ML Technology, JPMorgan Chase Abstract: We will be focusing on the development of an AI ecosystem that integrates first and third-party innovations, open-source solutions, and leverages proprietary data via machine learning models in a multi-cloud deployment environment. We will cover automated model governance and its role in ensuring control, validity, and reliability of AI applications while meeting regulatory compliance. We will then extend this framework to Generative AI and Large Language Models (LLMs), highlighting their potential and unique auditability challenges. The session will also delve into practical strategies for handling complex issues such as data privacy, security, fairness, and transparency. We will cover the crucial aspects of regulatory compliance, and the role of AI in facilitating evidence capture for auditability. We will highlight the balance between innovation and compliance. This session offers valuable insights for those aiming to navigate the fast-paced AI innovation landscape in Financial Services while adhering to regulatory norms and ensuring full auditability of processes with the proper controls, and evidence capture within a multi-cloud infrastructure.