As large language models (LLMs) and AI agents make their way into enterprise data environments, the way people interact with data platforms is changing. Instead of navigating complex tools and workflows, users can describe a business goal in natural language. An agent can then understand the intent, gather the necessary context, plan the required steps, and invoke platform capabilities to carry out the task. For enterprise data platforms, however, the real challenge is not simply teaching AI ...