AI products are completely limited by the data going in; output metrics mean nothing without trustworthy input data.

Claim

We're all obsessed with measuring the outputs of AI (accuracy, bias, drift etc) but if the data going in isn't trustworthy (or observable) then those outputs mean zilch, nothing at all.

Mechanism

Data confidence is the missing link in AI observability. Making data observable and governable at the source ensures that downstream AI outputs are meaningful and reliable.