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
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
More ethical machine learning using model cards at Wikimedia
Chris Albon, Director of Machine Learning, Wikimedia Foundation
Why is Machine Learning Hard?
Tal Shaked, ML Architect, Snowflake
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
Accelerating Model Deployment Velocity
Emmanuel Ameisen, Staff Machine Learning Engineer, Stripe
Engineering for Applied ML
Yuchen Wu, VP Engineering, Instacart
Model Calibration in the Etsy Ads Marketplace
Erica Greene, Senior Engineering Manager, Etsy
Seoyoon Park, Senior Software Engineer, Etsy
Data Engineering Isn't Like Software Engineering
Erik Bernhardsson, Ex-CTO, Better.com, Founder, working on something new
ML Projects Aren't An Island
Ben Wilson, Principal Resident Solutions Architect, Databricks
Building Malleable ML Systems through Measurement, Monitoring & Maintenance
Karan Goel, PhD Student, Stanford University
Panel: Building High-Performance ML Teams
Neal Lathia, Associate Director, Machine Learning, Monzo Bank
Janakiram MSV, Principal Analyst, Janakiram and Associates
Kevin Stumpf, Co-Founder and CTO, Tecton
Alex Williams, Founder and Editor in Chief, The New Stack
Lex Beattie, Machine Learning Engagement Lead, Spotify
The Only Truly Hard Problem in MLOps
Todd Underwood, Director, Google
Panel: Challenges of Operationalizing ML
Alex Williams, Founder and Editor in Chief, The New Stack
Aparna Dhinakaran, Co-Founder & Chief Product Officer, Arize AI
Barr Moses, CEO & Co-Founder, Monte Carlo
Kevin Stumpf, Co-Founder and CTO, Tecton
What is the MLOps Community?
Demetrios Brinkmann, Founder, MLOps Community
Ivan Nardini, Engineering Labs Content Lead, MLOps Community
Supercharging our Data Scientists’ Productivity at Netflix
Jan Forjanczyk, Senior Data Scientist, Netflix
Ravi Kiran Chirravuri, Software Engineer, Netflix