Large Language Models (LLMs) are powerful, but their effectiveness depends heavily on one key ingredient—context. In this session, we’ll explore real-world use cases where better context management significantly improved accuracy, reduced latency, and delivered more trustworthy answers. From parsing 500-page lease agreements to generating precise SQL queries over messy databases, you’ll learn practical strategies for chunking, retrieval, and semantic enrichment that can make or break your LLM implementation. If you're building or scaling GenAI solutions, this talk is for you.