The data platform bet: Why financial AI initiatives stall and how the winners scale

Many financial services AI initiatives fail because they lack a unified data foundation, often relying on fragmented, siloed, or manual data processes that prevent models from accessing real-time context. To achieve scalable and secure AI, organizations must move beyond traditional data lakes toward a unified platform that integrates governance, provides rapid data retrieval, and augments legacy systems.