Building a Self-Serve Data Agent for Company-Wide Use

Data teams often face the challenge of being subscale relative to partner teams, leading to an overwhelming volume of questions that cannot be answered individually. This content explores how establishing a trustworthy data foundation enables the creation of a self-serve data agent, allowing employees across the organization to independently investigate their own queries.

- Challenges in data team scaling and question volume
- The necessity of building a trustworthy data foundation
- Implementation of a self-serve data agent at OpenAI
- Enabling company-wide independent data investigation

This approach demonstrates how organizations can empower non-data specialists to follow their curiosity and address data needs directly, reducing bottlenecks for dedicated data teams.