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A Masterclass in Delivering High-Velocity ML at Scale

With over 30 sessions, TWIMLcon On Demand offers a masterclass in how to design and build teams and platforms for delivering machine learning in a high-velocity, repeatable, consistent and predictable manner—at scale:


A masterclass in delivering enterprise ML & AI.
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Build your ML Operationalization Knowledge Through Case Studies, How-Tos, Perspective Talks, Panels and Workshops


How Spotify Does ML at Scale

Aman Khan Spotify

Aman Khan

Product Manager

John Baer Spotify

Josh Baer

Machine Learning Platform Product Leader

When Good Models Go Bad: The Damage Caused by Wayward Models and How to Prevent it

Todd Underwood

Josh Baer

Engineering Director

Machine Learning is Going Real-Time: Are You Ready?

Chip Huyen

Chip Huyen

Machine Learning Engineer at Snorkel AI, Adjunct Lecturer at Stanford

Cost Transparency and Model ROI at Intuit