Financially Responsible Feature Engineering
Joshua Hansen, ML Platform Tech Lead, Atlassian
Geoff Sims, Principal Data Scientist, Atlassian
The ML data engineering conference presented by 
apply() Session + Video Archive
Reusability in Machine Learning
Nayur Khan, Associate Partner - Global Head of Technical Delivery, McKinsey
Exploiting the Data Code: Duality Applying Modern Software Development Practices to Data with Dali
Carl Steinbach, Senior Staff Software Engineer, LinkedIn
Towards Reproducible Machine Learning
David Aronchick, Partner, Program Manager, Microsoft
Programmatic Supervision for Software 2.0
Alex Ratner, Co-Founder & CEO, Snorkel AI
Rethinking Feature Stores with Feast and Tecton
Mike Del Balso, CEO & Co-founder, Tecton
Willem Pienaar, Feast Committer and Tech Lead, Tecton
Machine Learning is Going Real-Time
Chip Huyen, Co-Founder & CEO, Claypot AI
Scaling Online ML Predictions to Meet DoorDash Logistics Engine and Marketplace Growth
Hien Luu, Sr. Engineering Manager, DoorDash
Arbaz Khan, Machine Learning Platform Engineer, DoorDash
Third Generation Production ML Architectures: Lessons from History, Experiences with Ray
Dr. Waleed Kadous, Head of Engineering, Anyscale
Apache Kafka, Tiered Storage and TensorFlow for Streaming Machine Learning Without a Data Lake
Kai Waehner, Field CTO, Confluent
A Point in Time: Mutable Data in Online Inference
Orr Shilon, Machine Learning Engineering Team Lead, Lemonade