The Myth of “Good Data” in AI

It’s one of the most common reasons organizations stall on AI adoption, and it’s based on a belief that is only partially true. Yes, data matters. No, you don’t need perfect data to start.

Choosing Good: Reinvesting AI-driven efficiency into better outcomes, not just faster ones

AI is reshaping the classic “fast, cheap, good” tradeoff, with most AI implementations prioritizing speed and cost. But Marc De Pape argues that the true advantage lies with those who reinvest AI-driven efficiency into better outcomes, not just faster ones.