Organizations often do not recognize the importance of model governance until models are ready to be deployed. Model governance includes processes and frameworks that support deployment, maintenance of ongoing value, and machine learning model compliance. MLOps, while also new, needs to be tightly integrated with model governance. Model governance assists in planning automated and reproducible data as well as meeting requirements for monitoring and maintenance of models.
This workshop offers guidance and best practices for understanding the scope of model governance and planning steps to ensure success.