The Slider of Autonomy

Analytics tools are getting a total rewrite for the AI era. What does it actually take to build a "Cursor for data"? In this episode of AI Radicals, host Satyen Sangani is joined by Francois Ajenstat, founder and CEO of Golden Analytics, to discuss how AI is reshaping data analysis workflows. A three-decade veteran of the analytics space — from Cognos to Microsoft to a decade as Chief Product Officer at Tableau — Francois explores why context and metadata still matter more than ever, and why the next generation of data tools needs to be built with a "slider of autonomy." "What we generate is we know how data is being used for different use cases and how people traversed our tool to get to that answer... every step that somebody does in Golden is essentially recorded in a time machine." Listen to this episode to learn: Why visualization was never the hard part of BI — and what actually is How Golden built a per-user pricing model to align incentives with customers Why context and metadata need to be built through the job itself, not managed as an end unto itself