Dashboards are great at telling us what happened. But when a metric moves, an alert fires or an unexpected trend appears, the next question is usually much harder: why?

As part of our Genie Enablement initiative, we’ve been exploring how Databricks Genie agents can help bridge the gap between observing data and investigating it, giving stakeholders an analyst-like experience directly on top of their data.

In this session, I’ll share two real-world patterns we’ve developed. The first uses Genie as an automated analyst, triggering investigations when data alerts occur and producing a structured report of what changed, why it may have happened and where stakeholders should focus their attention. The second provides an on-demand analyst, enabling stakeholders to move from trends observed in dashboards to deeper “why” questions through a conversation with their data.

Through practical examples and demos, I’ll show how these agents work, how we’ve approached giving them the right business context and investigation logic, and the lessons we’ve learned while building and implementing them.

Having completed this session, you will be equipped with the skills and knowledge to identify where Genie agents can add value within your own Databricks environment, understand how to approach automated and on-demand analytical use cases, and apply practical techniques for building agents that deliver relevant and actionable insights.