MLOps Governance with Vertex AI
In the rapidly evolving digital era, the successful implementation of machine learning (ML) solutions is not just about creating sophisticated models that can predict outcomes accurately for complex use cases. While this is undoubtedly essential, the proficient management and governance of artificial intelligence (AI)/ML operations (MLOps) is equally important. This is especially important in an enterprise setting where companies have to ensure they adhere to several internal policies and regulatory compliance requirements. This chapter delves into different MLOps governance components and how you can utilize features available within Google Cloud to implement them.
MLOps governance revolves around instituting a structured approach to managing and optimizing the various moving parts of ML operations. It encompasses the processes, tools, and guidelines that ensure the smooth functioning of ML projects, all while complying with required policies and...
