Burmaster · Databricks AI Practice

Description

Memory-aware AI agents and RAG on your existing Databricks Lakehouse. Unity Catalog-native, Claude-optional. Led by Travis Burmaster, delivered by Next Link Labs. | About Travis Burmaster AI Architecture Leader, Next Link Labs I lead the AI Architecture practice at Next Link Labs. Before that I spent the last decade building agentic AI systems, multi-agent platforms, and the unsexy plumbing that makes them actually run in production. The Databricks practice exists because most enterprise AI initiatives fail in the same place: memory. Models forget. Agents lose state. RAG can't keep track of a conversation. And the workaround is always a parallel data system (a sidecar vector DB) with its own governance, its own access control, its own lineage. That's not a system you can ship. So we built a practice around making memory a first-class citizen on the Data

Industry

podcast