Building the data backbone for AI-enabled risk management
Risk leaders want real-time insight, predictive analytics, and AI-enabled decision support. But those ambitions fail when the underlying data is fragmented, poorly owned, or not trusted.
This workshop focuses on the foundations of modern risk data: quality, lineage, governance, ownership, control, and usability. Using practical examples, including AI and productivity tools such as Microsoft Copilot, the session will examine why the same risk question can produce different answers, and how better data discipline turns AI from a liability into a trusted management tool.