Data Analytics

AI won't replace SaaS platforms, but vendors must prove their value by delivering measurable business outcomes for insurers.

Insurers can safely cut development costs by 75% if they treat AI-generated code like a junior engineer's work.

Boards approving AI deployments often miss critical questions about data foundations, decision documentation, and pipeline positioning.

As rate momentum stabilizes, reinsurers must leverage data and AI to generate operational alpha beyond traditional cycle management.

Billions in tech spending haven't solved insurance's core problem: fragmented operating models that create systemic inefficiency across the business.

Billions spent on digital claims technology can't overcome fragmented vehicle data that continues driving operational leakage and fraud.

Quantum computing holds promise for complex financial modeling, but current technology is limited by noise and qubit count.

Federated data models offer insurers a pragmatic unification path that accepts fragmentation rather than fighting it.