Episode 3: The Lifecycle of MLOps from Data to Deployment to Governance

During the third episode of our three-part series, Audrey Reznik, Senior Principal Software Engineer with Red Hat, shares her perspective about model governance in the context of MLOps, including:

● What model governance entails, as well as where data governance and process governance fit in,

● What criteria concerning security and controls are essential for model governance,

● Which best-practice requirements, including algorithmic reproducibility, facilitate model governance,

● What risks organizations are most likely to encounter when introducing algorithms from public or external sources, as well as how to mitigate these risks, and

● Which aspects of model governance MLOps practitioners need to keep in mind.