Explains the need for machine-readable metric contracts to standardize business meaning before AI agents access data platforms.
Case study on building production-ready agentic AI systems for pharmaceutical drug development using RAG and Text-to-SQL.
Explains how semantic layers improve enterprise Text-to-SQL accuracy from 40% to 85-95% by providing structured context for AI.
Explores how AI agents can safely perform analytics on Apache Lakehouse using semantic layers and autonomous reflections.
Explains a technique using AI-generated summaries of SQL queries to improve the accuracy of text-to-SQL systems with LLMs.
