Tag: performance degradation

As the real-world changes, machine learning models degrade in their ability to accurately represent it, resulting in model performance degradation. That’s why it’s important for data scientists and machine learning engineers to support models with tools that provide ML monitoring and observability, thereby preventing that performance degradation. In this post, we dive into the WhyLabs AI Observatory, a data and ML monitoring and observability platform, and show how it complements Amazon SageMaker.