AI’s Dirty Secret: Data Is Still a Real Barrier
- Starts
- Ends
- Format
- In person
- Location
- Golden Eye Social, 311 3rd Street, San Francisco, CA 94107
About This Event
A closed-door, off-the-record roundtable on the data challenges shaping scalable AI in insurance. AI is only as powerful as the data behind it — and for many insurers, data continues to shape whether AI initiatives succeed, stall, or never make it past pilot. Even as the industry accelerates investment in GenAI and advanced analytics, internal challenges around data quality, accessibility, and ownership remain critical factors in what can realistically scale. 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. You’ll leave with a grounded, real-world view of what your peers are facing, what’s proving effective, and where you can make immediate progress while longer-term data work continues.