Foundations of MLOps: Bridging Practices and Collaboration

This chapter explores the essential prerequisites for adopting MLOps practices, emphasizing a business-driven approach to implementing machine learning models. It outlines a maturity model for organizations, traces the integration of DevOps practices with machine learning, and emphasizes the importance of collaboration among data engineers, scientists, and IT teams. The discussion also highlights the significance of managing machine learning workflows, data lineage, and model deployment in fostering efficiency and scalability within enterprise environments.