Explore the distinctions between MLOps and ModelOps in this informative conference talk. Discover how ModelOps extends beyond the basic model monitoring and tuning capabilities of MLOps, offering a comprehensive approach to managing models throughout the enterprise. Learn about establishing a continuous feedback loop, ensuring reproducibility, compliance, and auditability for business-critical models. Gain insights into best practices for continuous model monitoring, automated remediation to accelerate problem resolution, and creating a feedback loop for model improvement. Understand how these operational practices can be applied not only to AI models but also to other types of analytical models, providing a holistic view of model management across your organization.
MLOps vs ModelOps - Differences, Importance, and Best Practices
MLOps World: Machine Learning in Production via YouTube
Overview
Syllabus
MLOps vs ModelOps – What’s the Difference and Why You Should Care
Taught by
MLOps World: Machine Learning in Production
