AI & Machine Learning

Years pass before medical advances influence insurance decisions, but computational clinical modeling accelerates evidence-based risk management.

As AI reshapes insurance underwriting and claims, ethical safeguards become critical to protecting the industry's most vulnerable customers.

AI's shift to business-critical deployments exposes security gaps, accelerating demand for Confidential AI systems with built-in protection.

Sedgwick's annual study finds Fortune 500 executives identify resilience as 2026's defining business challenge amid AI uncertainty, catastrophe risks, and cyber threats.

Heavy AI investment yields limited returns in insurance because speed-focused automation lacks decision-making context.

Tight margins and customer demands for transparency drive insurers to embrace responsible underwriting as a competitive necessity.

P&C carriers face knowledge drain from retiring boomers. AI, used well, can provide systematic processes to capture expertise.

Insurers adopt AI at breakneck speed, yet legacy technology barriers prevent most from achieving meaningful ROI. A platform-based approach is needed.