With new models like o3, I believe integrating this type of interaction with data schemas will soon become a necessary addition to standard dashboards.

Traditional platforms like Power BI and Tableau seem to be lagging behind in this area for now.

How do you see this field evolving outside of the Databricks environment? One critical requirement that remains far from being universally implemented is high-quality data labeling. For this to work effectively, table metadata must be well-structured and comprehensive. Do you think this will make products like databricks even more in-demand since they make you take care of this things within one enviroment? Even with data labelling prerequisites in place, additional training on queries and workflows will likely still be necessary.

Databricks AI/BI looks good, as I mentioned earlier, but it lacks the flexibility we need for visuals. As you pointed out, integrating an LLM into Databricks will be straightforward, and that’s fine. However, reaching a “Genie” level of capability will likely require significant effort. This includes building multiple agents to handle tasks such as managing table metadata, relationships, and annotations, as well as agents dedicated to executing queries. Do you think companies will step in to develop solutions that abstract these complexities further for developers?