Operations Guide
AI Model Drift Monitoring Setup for MLOps Teams
Model drift requires multi-dimensional monitoring with alert thresholds. This guide defines a drift setup workflow with baseline tracking and escalation.
Implementation Steps
- Establish baseline metrics: accuracy, latency, cost, behavior scores.
- Configure drift signals with thresholds and severity levels.
- Assign drift owners for each signal type with escalation triggers.
- Track drift trend weekly and update baselines monthly.
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- Provider and model split recommendations
- Budget guardrail design by traffic stage
- KPI plan for spend, quality, and conversion