Why do so many AI use cases in insurance feel like starting from scratch.
The core issue is a lack of underlying connectivity.
Individual models may perform well, but each new use case often requires rebuilding pipelines, redefining data, and readdressing the same foundational challenges.
As a result, AI initiatives struggle to scale efficiently across the enterprise.
We’ve outlined the key drivers behind this pattern, and how leading insurers are addressing it: Unified Data Fabric for Insurance: Enabling AI-Ready Enterprise Data Platforms