Data for AI: Access to Understanding

Data For AI Events hosts a Menlo Park session on the gap between an agent being able to reach enterprise data and actually being able to understand and use it correctly. The program is aimed at the access, context and data-management work that sits beneath reliable AI applications.

The gathering is useful for practitioners building agents on lakehouse or enterprise data systems, where permissions and raw table access alone do not solve the problem of grounding a model in organizational context. Register through the official event page for the current agenda, speakers and attendance details.