Model Risk 2026

This conference provides insights into the dynamic landscape of model risk management, with a focus on integrating advanced Gen AI applications with traditional models. By exploring strategies for managing expanding and diverse model inventories, strengthening governance frameworks, and ensuring adherence to regulatory requirements, attendees will learn best practices in model validation, risk-tiering, ethical data governance, and real-time monitoring. The program also addresses transparency, accountability, and cross-department collaboration, providing practical approaches to scaling validation, optimizing oversight, and establishing resilient frameworks that support responsible AI adoption and sustainable enterprise-wide risk management.