Strategic MLOps: Best Practices of Effective ML Teams
What does it take to get the best model into production? We've seen industry-leading ML teams follow some of the same common workflows for dataset management, experimentation, and model management. I'll share case studies from customers across industries, outline best practices, and dive into tools and solutions for common pain points.
Chris Van Pelt is a co-founder of Weights & Biases, a developer MLOps platform. In 2009, Chris founded Figure Eight/CrowdFlower. Over the past 10 years, Chris has dedicated his career optimizing ML workflows and teaching ML practitioners, making machine learning more accessible to all. Chris has worked as a studio artist, computer scientist, and web engineer. He studied both art and computer science at Hope College.