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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:

Twimlcon

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

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How Spotify Does ML at Scale

Spotify
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?

Stanford
Chip Huyen

Chip Huyen

Machine Learning Engineer at Snorkel AI, Adjunct Lecturer at Stanford

Cost Transparency and Model ROI at Intuit