Naz Saquib Rashid

The rise of AI has necessitated a critical reevaluation of governance structures, necessitating tight integration between historically separate functions like Data Governance and Model Risk Management (MRM). Join this panel to discover how leading firms established a unified process to manage AI adoption, ensuring models are not only accurate but also adhere to core safety, ethical, and security standards through coordinated governance efforts. Attendees will learn to implement the strong capabilities needed to track the genuine population of AI usage across the enterprise, proactively managing complex regulatory and risk exposure in a fast-evolving technological landscape. Before this session ends, our expert panelists will join the audience to benchmark directly with attendees.

• Adopting a unified governance strategy by tightly integrating AI management with existing Model Risk Management functions
• Designing processes to route incoming AI use cases based on risk, sending them down either an MRM or a tooling adoption path
• Developing distinct practices for governing and monitoring AI agents
• Prioritizing content and knowledge management to ensure AI deployment is context-aware and leverages the right information