DriftWatch – Real-time ML model drift detection

Summary: DriftWatch detects training and serving data skew in real-time within ML pipelines, enabling early identification of model drift to maintain prediction accuracy.

What it does

It monitors discrepancies between training and serving data distributions continuously to detect model drift in machine learning workflows.

Who it's for

Designed for ML engineers and data scientists managing model deployment and monitoring in production environments.

Why it matters

It prevents degraded model performance by identifying drift before it impacts prediction quality.