TWIMLcon features an exciting lineup of live podcast interviews, informative sessions and panel discussions, and networking opportunities.

Wednesday, October 4
10:00 am
UTC
Treating Model Quality as a Reliability Problem
Todd Underwood
11:00 am
UTC
How Spotify is navigating an evolving ML landscape with Hendrix Platform
Jonathan Jin, Maisha Lopa
1:00 pm
UTC
Training and Deploying Recommender Systems with Merlin
Bill Vass
Wednesday, October 5
10:30 am
UTC
Bringing AI from research to production with PyTorch
Dmytro Dzhulgakov
10:30 am
UTC
ML Infrastructure to Build and Train Scalable Autonomous Driving Systems
Kevin Haas
11:00 am
UTC
Building Reusable ML Systems at Etsy
Bhumi Patel, Kyle Gallatin
10:00 am
UTC
Closing the Loop: Automated Model Retraining and Deployment
Ethan Rosenthal
Session Types
Select Timezone