Explore the common pitfalls and challenges faced by machine learning organizations in this 36-minute conference talk from MLOps World: Machine Learning in Production. Learn how to diagnose failure modes related to ML project velocity, practitioner satisfaction, and scaling ML adoption across business objectives. Gain insights from Yelp's decade-long journey in scaling ML reliance, as shared by Jason Sleight, Group Technical Lead of ML Platform, and Daniel Yao, Director of Applied Machine Learning. Discover various organizational structures and ML processes experimented with at Yelp, and understand how to identify and address issues that can hinder the success of ML initiatives within your organization.
Diagnosing Failure Modes in ML Organizations - Lessons from Yelp
MLOps World: Machine Learning in Production via YouTube
Overview
Syllabus
Diagnosing Failure Modes in Your ML Organization
Taught by
MLOps World: Machine Learning in Production
