About speaker

Feeding massive amounts of data into an LLM does not magically create an agent that understands your environment. Passive retrieval, like standard RAG, often breaks down when dealing with complex, time-sensitive enterprise workflows. In this talk, we’ll open the hood on active context synthesis. We will explore how to structure data pipelines using engineering patterns like Lambda Architecture to build scalable, resilient AI memory that truly understands state, time, and scale.