Question

multiple choice question
why is continuous monitoring important in ai model management?

provides ongoing improvements based on performance assessments
required for the model to pass initial testing phases
prevents the model from being deployed
ensures the ai model only operates in secure environments

Explanation:

Continuous monitoring in AI model management focuses on tracking model performance post-deployment. It identifies drift or degradation, allowing for ongoing refinements based on performance data. Initial testing is a pre-deployment step, monitoring does not prevent deployment, and it is not focused solely on secure environments.

Answer:

Provides ongoing improvements based on performance assessments