Three rapid 15-minute talks to spark discovery. One problem, one approach, one result.

• Implementing RAG (Retrieval-Augmented Generation) with effective connectors, caching, and guardrails to ensure AI provides accurate, context-aware answers from enterprise data.
• Structuring schemas and metadata to dramatically improve the quality and relevance of information retrieved by AI systems.
• Tracking data-quality metrics that directly correlate to financial outcomes to prioritize cleansing efforts and justify data governance investments.