Data quality problems when connecting AI to enterprise sources

In this podcast I discuss the risky business models AI labs are considering for their products and why accuracy, trust, and information quality is so so important (and difficult to ascertain). And that leads to a question we’re all asking: what are the real skills you need to flourish from AI and how does AI possibly change our mode of thinking? After all, they’re enormously “self-confident” about the answers they generate.

New News: A research study by the BBC just found that 45% of all inquiries of AI agents produce incorrect results. This podcast explains why.

My hypothesis, as I explain and discuss with clients, is that you’re going to have to become a “debater” to use AI really well, and that’s good for all of us.

Like this podcast? Rate us on Spotify or Apple or YouTube.

Additional Information

Is AI About To Bite Us? Debunking The Three Fears About AI (podcast)

What Happened To Our Sense Of Trust? (podcast)

The Rise of the Supermanager: People Management in the Age of AI (research)

Galileo: The World’s AI Assistant for Leaders at all Levels