Explore 4 AI terms in Model Monitoring
A Data Drift Metric measures changes in data distributions over time, indicating potential issues in AI model performance.
Drift detection identifies changes in data patterns over time in machine learning models.
A method to identify changes in model performance due to data shifts over time.
Model Management involves overseeing machine learning models throughout their lifecycle, ensuring efficiency and compliance.