A "mission-critical" AI system in an enterprise environment requires more than just an LLM; it requires a platform that guarantees security, compliance, and multi-model orchestration.
In this session, I will explore how to architect resilient AI systems by combining the engineering rigor of Microsoft Azure with the enterprise-ready capabilities of SAP Business Technology Platform (BTP).

We will dive into the Generative AI Hub within SAP AI Core to demonstrate how to build "clean core" AI extensions that integrate seamlessly with ERP data without compromising system stability.

Discussion Points:
The Clean Core AI Pattern: Using SAP BTP to build side-by-side AI extensions that keep the digital core stable.

Enterprise RAG: Utilizing SAP HANA Cloud Vector Engine to give LLMs real-time context from business data.

Unified AI Orchestration: Managing multiple models (GPT-4 via Azure, Claude, etc.) through the Generative AI Hub to avoid vendor lock-in.

Operational Governance: Applying SAP AI Core for model versioning and transparent resource logging.