The discussion will explore how insurers are evolving their data strategies, where approaches like Data Mesh are delivering value without full-scale disruption, and where teams are finding practical, near-term AI wins while broader data foundations are still in progress. We’ll examine what “good enough” data really looks like for AI-enabled underwriting, claims, and fraud use cases.

Discussion highlights

• Why data maturity — not models — often determines AI success
• What “good enough” data looks like for real insurance use cases
• Where Data Mesh is helping insurers unlock value without a full overhaul
• Low-hanging AI use cases insurers are deploying today - even with imperfect data
• Practical steps insurers are taking to move from AI bottleneck to business enabler

Booking is required to attend this session. Reserve your place here.