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
The ML data engineering conference presented by 
apply() Session + Video Archive
Best Practices for Productionalizing Data & ML Projects
Michelle Ufford, CEO and Co-Founder, Noteable
Matthew Seal, Co-Founder and CTO, Noteable
What is the MLOps Community?
Demetrios Brinkmann, Founder, MLOps Community
Ivan Nardini, Engineering Labs Content Lead, MLOps Community
Financially Responsible Feature Engineering
Joshua Hansen, ML Platform Tech Lead, Atlassian
Geoff Sims, Principal Data Scientist, Atlassian
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
Bringing Feast 0.10 to AWS
Stepan Pushkarev, CTO, Provectus
Scaling a Machine Learning Social Feed with Feature Pipelines
Ettie Eyre, Platform Engineering Lead, Cookpad
Nadine Sarraf, Machine Learning Engineer, Cookpad
Programmatic Supervision for Software 2.0
Alex Ratner, Co-Founder & CEO, Snorkel AI
Building a Feature Store to Reduce the Time to Production of ML Models
Emiliano Martin, Sr. Software Engineer, Mercado Libre
Feature Stores at Spotify: Building & Scaling a Centralized Platform
Aman Khan, Product Manager, Spotify