Implementing MLOps in the Enterprise - A Production-First Approach

In today’s fast-evolving technological landscape, the integration of machine learning models into enterprise environments demands a robust framework that bridges development and operations seamlessly. This book presents a production-first approach to MLOps, emphasizing the practicalities of deploying, monitoring, and maintaining machine learning systems at scale within complex organizational settings. It offers readers a comprehensive guide to overcoming typical challenges associated with operationalizing ML, ensuring models deliver consistent business value.

• MLOps as a Discipline: The book posits MLOps not merely as a set of tools, but as an interdisciplinary practice combining software engineering, DevOps, and...

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