What Happens When AI Agents Take on Your Enterprise Data with Rajiv Shah of OpenHands: Clip 2

In this episode, Rajiv Shah, Agentic AI Engineer of OpenHands, joins us to explore the shift from inner-loop tab-complete assistants to autonomous outer-loop coding agents that execute complex engineering tasks with minimal human oversight. We discuss enterprise governance challenges, the open-source case for model-agnostic infrastructure and why getting AI agents to create real business value requires far more than writing production-quality code. Rajiv also explains why the semantic layer between human intent and stored data remains a critical gap even the most capable agents can't fill independently, and what it means for data teams still working to close it.