An Afternoon Data-Readiness Audit Before Any AI Build
This story is from 2026-09-03. It is preserved in the archive; the latest stories are on the live feed.
Before scoping any AI feature, spend one afternoon answering six questions about the data it will run on: where it lives, who owns it, how fresh it is, whether ground truth exists, what's missing, and who is allowed to see it. Most of the "the model isn't good enough" failures I've seen were data-r…
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- 2026-09-03 08:00 · DEV Community — Machine Learning
An Afternoon Data-Readiness Audit Before Any AI Build