What is Data Drift?
AI InfrastructureLast updated:
Changes in the statistical properties of input data over time that degrade ML model performance.
Data drift occurs when real-world data diverges from the training data distribution due to seasonal changes, user behavior shifts, or external events. Monitoring for drift and triggering retraining is a core MLOps practice to maintain model accuracy.