Training-Serving Skew & How to Prevent It in MLOps and Production AI
What is Training-Serving Skew?
Training-serving skew occurs when features used during model training differ from those used during inference.
Prevention Strategies
- Centralized feature definitions
- Versioned feature pipelines
- Shared transformation logic
Preventing skew ensures reliable predictions.

