What is knowledge, really? In this episode of Iconoclast Insights, André Daus digs into this slippery question, challenging the urge to trap knowledge in rigid systems. From a project where he dodged a “type-till-retirement” loop, he shows why those pricey management tools often flop. Knowledge isn’t just information—it’s info multiplied by experience, a practical spin on Plato’s “justified true belief” and Gettier’s clock puzzle.
Why do systems fail? They grab explicit data but miss tacit know-how—the intuitive stuff that flows through mentorship, not databases. With Rumsfeld’s “knowns and unknowns,” André uncovers hidden layers: “unknown knowns” (unseen skills) and “unknown unknowns” (blind spots like AI shifts). Unlocking it takes curiosity—think contrarian questions (“What if the opposite were true?”), assumption checks (“What rules are we blind to?”), bias spotlights (“Are we stuck in the past?”), and scenario twists (“What if resources crash?”).
It’s not a quick fix. Knowledge grows through continuous, messy learning—not boxed-in projects. André urges us to evolve it dynamically, in a fearless space for questioning, across teams and beyond. Tune in for a fresh take on how we think and adapt.
