What is model monitoring?
Model monitoring is the last step of the machine learning project, and it aims to monitor and control the model’s quality in production. This process does not have clear time boundaries since the model’s performance should be maintained all the time. This process allows the development team to identify potential and arising issues and immediately solve them.
Why is it important?
Model monitoring ensures that the model remains stable and produces the desired results. In case of a quality reduction, the model must be immediately corrected and adjusted. With careful model monitoring, any potential threat can be identified and eliminated before affecting any business processes.