17.6 Production AI Systems

A production AI system is more than a trained model — it is the whole pipeline that keeps that model serving real users reliably: data ingestion, an API to serve predictions, containers and cloud infrastructure to run it, monitoring to catch problems, versioning to roll back, and automated retraining to stay accurate. The model itself is often only a small fraction of the code.

Think of a national digital ID verification service. It must validate faces 24/7, log every prediction, alert engineers if accuracy dips, scale during peak registration drives, and let operators safely roll back a bad model — all without downtime. No single component does this; the reliability comes from the whole system working together.