AI is now part of every analyst's workflow, and that is not going to change. The problem is that too many dashboards are stopping at generate.
The real work starts when you open that AI draft and ask whether it is actually communicating something and whether it serves the people who need to make decisions with it. That is where your expertise as an analyst comes in, and that is what this session is about.
We will walk through a real-world workflow for taking an AI-generated dashboard from raw output to a polished, decision-ready Power BI report. Along the way, we will cover the most common design mistakes AI tools make, how to apply data storytelling principles to fix them, and how to develop your own editorial eye so you are not just accepting whatever the model produces. You will leave with practical techniques you can apply immediately and a new standard for what AI-assisted work should look like before it ever reaches a stakeholder.