Galileo
Galileo is an AI-powered data intelligence platform designed to help data scientists and machine learning engineers build, monitor, and debug machine learning models. It provides tools for data quality assessment, model performance monitoring, and root cause analysis of model failures. The platform focuses on improving model reliability and accelerating the ML development lifecycle through automated insights.
Developers should learn Galileo when working on production machine learning systems that require robust monitoring, debugging, and validation capabilities. It is particularly useful for teams deploying models in real-world applications where data drift, model degradation, and performance issues need to be detected and resolved quickly. Use cases include fraud detection systems, recommendation engines, and any ML pipeline where model trust and explainability are critical.