Why SAP Customers Cannot Achieve AI Returns Without Organizational and Technology Convergence
SAP enterprises have invested billions in operational data. Unfortunately, most of those enterprises still cannot activate that data for AI at scale. This isn’t because the technology is missing, but because the problem is spread across two different domains with a lack of ownership in the seam that lies between them.
In most enterprises, SAP systems and operational governance sit with the COO and CFO, while analytics, platforms, and AI sit with the CIO and CTO. For years, that separation was manageable. In the AI era, it has become the primary barrier to enterprise-scale value realization.
This white paper explores how the convergence of SAP Business Data Cloud and the Snowflake AI Data Cloud creates both the technical foundation and the organizational opportunity to close that gap.
Inside the report, you’ll learn:
- Why most enterprise AI initiatives struggle to move beyond pilots.
- How organizational fragmentation limits AI ROI.
- Why S/4HANA transformation creates a critical window for convergence.
- How zero-copy, governed data architectures are reshaping enterprise AI foundations.
- What leading organizations are doing to align operations, analytics, and AI around a shared data strategy.
You’ll also walk away with a practical framework for unified governance, co-funded AI data programs, and a clearer understanding of the growing cost of waiting.
Download the report to explore what it takes to build a unified, AI-ready enterprise data foundation today.
