There is a direct line between your data architecture decisions today and whether AI will work at scale tomorrow. Organisations that treat data migration as a lift-and-shift exercise and data architecture as a downstream concern are building the exact fragmentation that makes agents hallucinate, predictions fail, and governance collapse.

This session connects two journeys that most organisations run in parallel but should be architecting together: Cloud ERP transformation and AI enablement. Using SAP Business Data Cloud as the architectural foundation, you'll see how to design a data layer that serves both — zero-copy access across SAP and non-SAP systems (via Dremio and Apache Iceberg), unified entity truth (via Reltio), and the semantic layer that gives agents the context to reason correctly rather than just retrieve data.

We cover the practical architecture: BDC Connect for real-time data federation, BW modernisation paths, the role of the data architect in an AI-native landscape, and how Clean Core principles directly enable (rather than slow down) AI adoption. The session includes customer perspectives on how organisations are making these decisions in practice — balancing urgency, legacy complexity, and the need to build foundations that compound over time.

Key Takeaways:

• Understand why data architecture for Cloud ERP and data architecture for AI are the same problem — and should be solved together
• Learn the SAP Business Data Cloud architecture: zero-copy federation, Apache Iceberg, BDC Connect, and how they eliminate unnecessary data movement
• Understand how Reltio provides entity truth — resolving the ambiguity that causes agents to reason incorrectly across systems
• See how Clean Core principles accelerate AI readiness rather than compete with it for priority
• Learn from customer examples: practical decisions made in the first 6-12 months of combined ERP and AI transformation