AI introduces new operational and regulatory risks that must be managed carefully. In this session, get an inside look at how firms are balancing innovation with control through effective governance models. 

• Constructing end-to-end governance frameworks covering model development, deployment, monitoring, and lifecycle management 
• Aligning risk, compliance, technology, and operations teams through clearly defined ownership and accountability models 
• Implementing controls for model drift, bias detection, and ongoing performance validation 
• Maintaining innovation by embedding governance into workflows rather than layering it on top