AI Ops

Noun · AI & Machine Learning

Definitions

  1. The operational work required to deploy, monitor, govern, and maintain AI systems in real environments. AI ops includes model rollouts, incident response, quality tracking, cost control, and keeping supporting data and infrastructure healthy.

    In plain English: The day-to-day operational work of running AI systems.

    Example: "Most of the launch complexity lived in AI ops because the team needed logging, rollback controls, and drift monitoring before exposing the feature broadly."

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