Empowering Small Businesses with the Power of Tech, Data, and Machine Learning
Daniele Perito, Co-Founder & Chief Data Officer, Faire
The ML data engineering conference presented by 
apply() Session + Video Archive
Weaver: CashApp’s Real Time ML Ranking System
Meenal Chhabra, Machine Learning Engineering Manager, CashApp
Austin Mackillop, Machine Learning Engineer, CashApp
Feature Engineering at Scale with Dagger and Feast
Ravi Suhag, VP of Engineering, Gojek
Data Observability for Machine Learning Teams
Kyle Kirwan, CEO & Co-founder, Bigeye
Machine Learning, Meet SQL: When ML Comes to the Database
Dan Sullivan, Principal Data Architect, 4 Mile Analytics
Machine Learning in Production: What I learned from monitoring 30+ models
Lina Weichbrodt, Machine Learning Lead Engineer, DKB AG
Lessons learned from the Feast community
Willem Pienaar, Feast Committer and Tech Lead, Tecton
Wild Wild Tests: Monitoring Recommender Systems in the Wild
Jacopo Tagliabue, Director of AI, Coveo
Federico Bianchi, Postdoctoral Researcher, Bocconi University
Fireside Chat: Is ML a Subset or a Superset of Programming?
Mike Del Balso, CEO & Co-founder, Tecton
Martin Casado, Partner & Software Engineer, a16z
Panel: Common Patterns of the World's Most Successful ML Teams
Mike Del Balso, CEO & Co-founder, Tecton
Alex Ratner, Co-Founder & CEO, Snorkel AI
Aparna Dhinakaran, Co-Founder & Chief Product Officer, Arize AI
Ketan Umare, Co-Founder & CEO, Union.ai
Lior Gavish, CTO and Co-Founder, Monte Carlo
Intelligent Systems with real-time ML systems
Manoj Agarwal, Architect Fellow, Walmart Global Tech
Praveen Kumar Kanumala, Principal Software Engineer, Walmart Global Tech
Training Large-Scale Recommendation Models with TPUs
Aymeric Damien, Machine Learning Engineer, Snap Inc.
Are Transformers Becoming the Most Impactful Technology of the Decade?
Clem Delangue, Co-Founder and CEO, Hugging Face
Streamlining NLP Model Creation and Inference
Phillip North, Machine Learning Engineer, Primer.ai
Cary Goltermann, Machine Learning Engineer, Primer.ai
ralf: Real-time, Accuracy Aware Feature Store Maintenance
Sarah Wooders, PhD Student, UC Berkeley - RISELab
More ethical machine learning using model cards at Wikimedia
Chris Albon, Director of Machine Learning, Wikimedia Foundation
Workshop: Operationalizing ML Features on Snowflake with Tecton
David Hershey, Senior Solutions Architect, Tecton
Workshop: The Key Pillars of ML Observability and How to Apply Them to Your ML Systems
Amber Roberts, Machine Learning Engineer, Arize AI