The shift from reactive to anticipatory risk management is one of the most significant operational opportunities available to risk leaders today – and AI is the engine that makes it possible.

This session examines how predictive AI models are moving risk teams from documentation to anticipation. AI can identify patterns in historical data, forecast outcome probabilities, and surface emerging exposures before they reach the threshold of a formal event. You’ll also explore what makes risk and claims data structurally unique — and why generic AI models trained on general enterprise data frequently miss what purpose-built models catch.

You'll leave with a practical understanding of predictive analytics tiers, how to evaluate your data readiness, and where to begin.