Is Your AI Strategy a Science Project with a budget?
Most AI programmes begin with the exciting part. Prashant Hinge, Chief Information and Transformation Officer at MSIG USA, argues that is exactly why so many aren't delivering value. He describes how the specialty insurer took a different route, the first transformation of his career to start with data: consolidating 15 insurance systems into a single data model in 12 months before building on top of it. We hear why he warned leadership the work could slow the business for the first 18 months, why a wrong number on a dashboard usually has to be fixed in the source system rather than the reporting layer, and why he believes the industry is jumping straight to AI while data, process and integration are still missing. He also makes the case that most basic process problems do not need a frontier model at all.

