Argo for ML: Achieving Scalability and User Experience in Machine Learning Platforms

Explore the intersection of Argo Workflows and machine learning in this 25-minute panel discussion featuring ML and MLOps engineers from leading companies. Gain insights into building scalable machine learning platforms, focusing on the crucial balance between high-scale operations and user-friendly interfaces. Discover how Bloomberg, Dyno Therapeutics, and Centrica leverage Argo Workflows to solve complex challenges in finance, bioinformatics, and energy sectors. Learn about setting goals for ML platforms, integrating Argo Workflows effectively, and designing intuitive user interfaces that empower ML teams to work efficiently at scale.

Panel: Argo for ML: Achieving Scalability and User Experience