Data with Consequence
Garima Gupta
Data With Consequence is a podcast about AI, data and decision-making, hosted by Garima Gupta, for leaders who act on the numbers. Most data shows start at the model, the metric or the tool. This one starts a step later: the moment someone makes a decision based on a number, and that decision has a consequence. Garima has built data functions from scratch three times and interviewed around two thousand data hires. She talks about where AI agents speed up data work, and where they fail without warning by making silent assumptions that produce confident, wrong answers. Episodes cover data quality, AI governance, analytics leadership, hiring data teams, and the Consequence Loop: Context, Constrain, Validate, Codify, Own. It's for executives, data leaders, analysts and data scientists who want AI to make decisions faster and better, without trusting a clean run that isn't a correct answer. Now go argue with a machine.