Why Your GenAI Strategy Demands an All-Inclusive Data Modernization

Enterprise Generative AI strategies are failing because they are being built on incompatible legacy data warehouses. The core problem is that "piecemeal" data migrations fail to transfer the intricate business logic and orchestration embedded in these old systems. This "missing scope" breaks business continuity. The only viable path forward is an "all-inclusive" modernization that migrates both data and business logic together as a prerequisite for any successful AI implementation.