You're About to Automate Away Your Safety Net | with Tom Redman

On this episode

About this episode

Everyone’s racing to hand their work off to AI agents, but most corporate AI projects are failing, and bad data is a big reason why. Tom Redman, known as “The Data Doc,” built the first data quality lab at Bell Labs and has spent four decades in the least glamorous, most important part of the AI story: the data underneath it. In this conversation, Tom explains why cleaning up bad data is a losing battle, and why the companies that win focus on the data they’ll create tomorrow instead. Plus, learn why line managers and AI experimentation rarely mix, how a “lab, factory, and bridge” structure fixes that, and why the customer-supplier model is the habit that separates real AI value from slop.…