Human Centric MLOps - Why Productivity Matters the Most
MLOps World: Machine Learning in Production via YouTube
Overview
Explore the concept of human-centric MLOps in this insightful 48-minute conference talk from MLOps World: Machine Learning in Production. Delve into why productivity should be the primary focus in advancing the field of MLOps. Learn from Ville Tuulos, CEO and Co-Founder of Outerbounds, as he draws on over two decades of experience in developing machine learning infrastructure. Discover how making ML systems easier to build and operate can lead to unprecedented innovations. Examine the historical context of computing revolutions and understand why focusing on the people behind the systems, rather than the systems themselves, is crucial for progress. Gain valuable insights into the technical challenges of implementing a human-centric approach to MLOps and how it can radically transform the landscape of machine learning in production.
Syllabus
Human Centric MLOps: Why Productivity Matters the Most
Taught by
MLOps World: Machine Learning in Production