A hospital is seeking advice on implementing on-premise MLOps for both internally developed and vendor-provided AI models. The organization is evaluating platforms like ClearML and Red Hat OpenShift AI for the full MLOps lifecycle, but is encountering challenges with production monitoring capabilities. Key requirements include drift detection, bias monitoring, usage analytics, and custom metrics, especially for models hosted by third-party vendors where only input/output data is accessible. AI
IMPACT This query highlights the complexities of deploying and monitoring AI in regulated environments like hospitals, particularly with third-party models.
RANK_REASON User is asking for advice on MLOps tools and implementation for a specific use case.
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