Are dashboards dead? Will BI tools disappear? Will analytics move entirely to chat? In this session, we’ll run a thought experiment: in a world where AI is exceptionally good, what do organizations actually need from data - and what does the data stack look like to support it? This exercise reveals a new operating model for analytics: much of the technical work becomes automated, and data teams shift toward managing systems of AI agents that generate and refine data products. A similar shift is already underway in software engineering, where teams are building self-reinforcing feedback loops that continuously improve software. Drawing on real examples from our team’s development workflows, we’ll explore how data teams can apply these patterns to analytics - and how they can prepare for an AI-first future while maintaining strong governance and security.
