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Vol. I · No. 251
Mon · 8 Jun
A Daily Lexicon of Trustworthy Data
The Lexicon

006·313

ai maturity

/ˌeɪˈaɪ məˈtʃʊrəti/ - n.

1. Term struck: cannot be measured until the field defines the quality, ownership, and monitoring the score is meant to rate.

Struck
See also
  • ai readinessA green slide presented before anyone has profiled the data the slide describes.
  • ai strategyTerm struck pending the definition of quality, ownership, lineage, and decision rights it depends on.
  • mlopsThe operating discipline a model needs, requested only after the model is already in production.
  • model registryA list of every model in production except the three a team is quietly running from a notebook.