From pitch decks to business cases, professionals have long battled with data that's shoddy, hard-to-trust, inaccurate, or tainted by bias—what we call S.H.I.T. data.

Now, with AI in the mix, the challenge is growing. When unreliable inputs fuel confident outputs, we’re dealing with SHAIT data. In this talk, we’ll briefly explore why good data matters more than ever—and what’s at stake when we get it wrong.