Empowering stakeholders in the age of AI

Less than a year ago, "self service data analytics" largely meant that business users could use BI tools to chart data by selecting measures and attributes, as long as it had been cleaned and modeled by the data team. But the modeling was still a bottleneck, which meant the data team was still a bottleneck.

Recently, AI tools have started to reach the point where they can enable true "talk to your data", even when the data is not fully modeled. We are just starting to get to a world where stakeholders can tell a chatbot, "Here's my problem, here's what I think so far. Tell me what the data says."

That alone raises plenty of questions we can explore in this session. Which models are successfully enabling this? How do you make sure the answers are correct?

And what if we go further? What if AI tools enable stakeholders to propose their own dbt code, or even submit PRs? In that world, what is the role of data experts?

Let's chat!