To perform tasks as well as a human, AI agents need context — something that has been lacking in many systems to date, according to Databricks. It hopes to fill that gap with a new acquisition, that of San Francisco-based machine learning startup Tecton. Databricks intends to use Tecton’s technology in its Agent Bricks offering to quickly turn data from its data lakehouse into context for AI agents to use, especially real-time data generated by event-driven data architectures. “Without...
