Machine learning operations, or MLOps, is a set of processes that can help today’s organizations get value from data science by reducing friction throughout pipelines and workflows. However, implementing MLOps is easier said than done because it touches so many teams, people, and processes across the organization — it’s larger than just model monitoring in production. Through his experience working with global organizations on governance and MLOps topics, Mark will outline the key components of a robust (and successful) MLOps strategy.

O'Reilly Meet the Expert explores emerging business and technology topics and ideas through a series of one-hour interactive events. You’ll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions.

This event is for you because…

• You want to design MLOps systems that minimize risks across the organization.
• You want to get more value out of data science by implementing MLOps processes.

Prerequisites:

• Come with your questions for Mark Treveil
• Have a pen and paper handy to capture notes, insights, and inspiration