Across industries, SAP leaders are under pressure to modernize analytics and adopt AI, yet many remain constrained by fragmented data estates, slow analytics cycles, and disconnected platforms. These challenges do more than delay insights — they limit the real business value AI can deliver. Without clean, unified, and governed data, even advanced AI initiatives struggle to scale.

In this session, we explore how SAP-driven organizations are rethinking their data strategy to break down silos, accelerate insight, and build an AI-ready foundation - without disrupting core SAP investments. We’ll share a practical data narrative focused on unification, governance, and usability rather than tools alone, drawing on real-world patterns seen across SAP-centric enterprises.

We’ll also examine the growing alignment between SAP and Microsoft data platforms, including how SAP Business Data Cloud (BDC) and Microsoft Fabric are shaping a more integrated analytics and AI roadmap. Attendees will learn how modern data platforms enable SAP organizations to converge analytics, real-time intelligence, and AI into a trusted data estate, reduce ETL complexity, and improve productivity through embedded AI assistants - while positioning for tighter, future-ready integration across SAP and Microsoft ecosystems.

Key Takeaways:

• Why fragmented data remains the #1 barrier to SAP analytics and AI success.

• How unified, governed data estates accelerate insight and reduce analytics cycles.

• The role of embedded AI copilots in improving productivity across technical and business teams.

• How SAP customers can build custom, trusted AI experiences grounded in enterprise data.