MLOps and DevOps
The conversation highlights the crucial relationship between MLOps and DevOps, emphasizing that MLOps is not merely about implementing tools but also involves a strong organizational culture and change management processes. Effective MLOps requires rigorous testing and the ability to roll back changes, paralleling the mature processes found in traditional software development. The importance of a human-in-the-loop approach and monitoring user engagement with new features is also underscored.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
787: MLOps: The Job and The Key Tools — with Demetrios Brinkmann
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