The 4 Pillars of MLOps, Part 2: Production Model Monitoring

In this 15-minute podcast produced by Data Science Central, we explore best practices in Production Model Monitoring. With MLOps, your monitoring is designed for machine learning. Monitoring includes service health, data drift, model accuracy, and proactive alerts that are sent to stakeholders using a variety of channels like email, Slack and Pagerduty, based on severity.

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