Converging Every AI Workload on a Single Database (Americas)

Powering AI agents with every workload on one database

To ground a single decision, an AI agent often needs to read a live transaction, run analytics over history, traverse relationships in a graph, and match on a vector, all at once. When each of those workloads runs on its own system, an agent inherits latency, governance gaps, and duplicated data, reasoning over a picture that's already out of date. Bringing every workload onto one database is the difference between an agent that reasons on current, trusted context and one that stitches together scattered copies.

Join us for a technical session with SAP HANA Cloud, the AI database at the core of SAP Business Data Cloud. Learn how its converged, multi-model architecture powers both AI agents and applications across your SAP landscape.