Bad Data Doesn't Care How Good Your AI Model Is
I've been watching AI demos for three years now. At conferences, in vendor calls, in internal showcases where someone from the innovation team hooks up a laptop to a projector and the room goes quiet.
They always show the same things.
A chatbot that answers customer questions with unsettling fluency. A logo generator that produces four options in two seconds. A document that writes itself while the audience watches. Someone generates an image — usually something dramatic, a futuristic skyline or an astronaut on a horse — and the room claps.
I get it. Those demos are genuinely impressive. They're also the wrong use cases to be excited about.
Nobody demos anomaly detection quietly catching a broken data feed at 2am before it corrupts a downstream risk model. Nobody shows entity resolution collapsing 52 slightly different versions of the same vendor record into one clean golden record. Nobody screenshots their...
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