Managing the Flywheel of ML Data
Mike Del Balso, CEO & Co-founder, Tecton
The ML data engineering conference presented by 
apply() Session + Video Archive
Lakehouse: A New Class of Platforms for Data and AI Workloads
Matei Zaharia, Co-Founder and Chief Technologist, Databricks
Machine Learning Platform for Online Prediction and Continual Learning
Chip Huyen, Co-Founder & CEO, Claypot AI
Why is Machine Learning Hard?
Tal Shaked, ML Architect, Snowflake
DIY Feature Store: A Minimalist’s Guide
João Santiago, Data Science Team Lead, billie.io
Enabling Rapid Model Deployment in the Healthcare Setting
Felix Brann, Head of Data Science, Vital
Extending Open Source Feature Stores to Fit Adyen
Joost van Ingen, Data Engineer, Dexter Energy
Thijs Brits, ML Engineer, Adyen
Compass: Composable and Scalable Signals Engineering
Justin Young, Developer, Abnormal Security
Streaming is just an implementation detail
Arjun Narayan, CEO / Co-Founder, Materialize, Materialize
Effective ML System Development
Leonard Aukea, Head of Machine Learning Engineering & Operations, Volvo Cars
How to Draw an Owl and Build Effective ML Stacks
Sarah Cantazaro, General Partner, Amplify Partners
Panel: What Do Engineers Not Get About Working with Data Scientists?
Kevin Stumpf, Co-Founder and CTO, Tecton
Maria Cipollone, User Researcher, Spotify
Mark Freeman, Founder, On The Mark Data
Kate Kuznecova, Data Scientist, OLX Group
Alice Jacques, Head of Data Science and Machine Learning, Depop
Is Production RL at a tipping point?
Dr. Waleed Kadous, Head of Engineering, Anyscale
Declarative Machine Learning Systems: Ludwig & Predibase
Travis Addiar, Co-Founder & CTO, Predibase
Piero Molino, Co-Founder & CEO, Predibase
Accelerating Model Deployment Velocity
Emmanuel Ameisen, Staff Machine Learning Engineer, Stripe
The dbt Semantic Layer
Drew Banin, Co-Founder & CPO, DBT Labs
Engineering for Applied ML
Yuchen Wu, VP Engineering, Instacart
PyTorch's Next Generation of Data Tooling
Donny Greenberg, Product Management Lead, PyTorch, Meta
Workshop: Building Real-Time ML Features with Feast, Spark, Redis, and Kafka
Danny Chiao, Engineering Lead, Tecton
Workshop: Bring Your Models to Production with Ray Serve
Shreyas Krishnaswamy, Software Engineer, Anyscale
Simon Mo, Software Engineer, Anyscale