Model Performance Management Best Practices

Model Performance Management (MPM) serves as the centralized control system at the heart of ML workflows, tracking and monitoring model performance at all stages. Powered by Explainable AI, MPM is essential for model risk management, model governance, and optimizing MLOps.

Learn the unique nature of machine learning, its challenges, and how to create a disciplined MPM framework, including:

  • A snapshot of the ML lifecycle
  • 8 unique challenges for ML models
  • How MPM solves these challenges
Two-page healthcare AI checklist showing Part 1: Foundational Setup & Risk Assessment with steps for AI governance, principles, inventory, and risk tiers, and Part 2: Pre-Deployment Evaluation & Go-Live Checks with validation for predictive models; includes an astronaut illustration interacting with futuristic AI health data dashboards.
Table of contents