What it is
AI analytics is the practice of tracking how a model behaves in the real world: accuracy, latency, cost, drift, and user outcomes.
What to measure
- Output quality versus benchmarks or human review
- Response times and error rates
- Usage patterns by feature or user segment
How it helps
- Find regressions before users do
- Decide when to retrain or fine-tune
- Show the ROI of AI features with clear numbers