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This is lesson 2 of 22 in the Model CI/CD course, where we dive into the critical role of the model registry and how it fits into the broader machine learning workflow. Full course with certification and class materials available free at http://wandb.me/course_emm. Episode Description In this chapter of the Model CI/CD course from Weights & Biases, we hear from a product manager at Weights & Biases who discusses the significance of the model registry in enterprise model management. They share insights on how the model registry centralizes and streamlines the process from experimentation to deployment, ensuring efficiency and governance. Chapter Highlights Understanding the Model Registry: Learn why the model registry is essential for managing models in production, similar to container registries like Docker Hub. Practical Workflow Integration: See how the model registry acts as a bridge between experimentation and production, facilitating smooth handoffs. Governance and Control: Discover how the model registry supports governance by tracking model lineage, ensuring compliance, and maintaining data integrity. Accelerating Model Rollout: Understand how the model registry speeds up the deployment process, minimizing errors and maximizing productivity. Enroll in the full course free: http://wandb.me/course_emm Next Chapter: Logging Models