New Abstractions Enabling Operational ML
Mike Del Balso, Co-Founder & CEO, Tecton
Session + Video Archive
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Building Malleable ML Systems through Measurement, Monitoring & Maintenance
Karan Goel, PhD Student, Stanford University
How Robinhood Built a Feature Store Using Feast
Yuyang (Rand) Xie, Senior Machine Learning Engineer, Robinhood
ML Observability: Critical Piece of the ML Stack
Aparna Dhinakaran, Chief Product Officer, Arize AI
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
Streaming Architecture with Kafka, Materialize, dbt, and Tecton
Emily Hawkins, Data Infrastructure Lead, Drizly
High Performance Feature Serving with Feast on AWS
Willem Pienaar, Feast Committer and Tech Lead, Tecton
Quickly performing Exploratory Data Analysis with Rule-based Profiling
James Campbell, CTO, Superconductive
How Shopify Contributed to Scale Feast
Matt Delacour, Senior Software Engineer, Shopify
The Only Truly Hard Problem in MLOps
Todd Underwood, Director, Google
Towards a Unified Real-Time ML Data Pipeline, from Training to Serving
Aakash Sabharwal, Senior Engineering Manager, Etsy
Sheila Hu, Senior Machine Learning Engineer, Etsy
Building a Best-in-Class Customer Experience Platform – The Hux Journey – Deloitte Digital
Diego Oppenheimer, CEO, Algorithmia
Paul Phillips, CTO, Hux CX Platform, Deloitte Digital
Julian Berman, VP of Engineering, Hux CX Platform, Deloitte Digital
ML Design Patterns for Data Engineers
Valliappa Lakshmanan, Director, Google
Real-time Personalization of QuickBooks using Clickstream Data
Ian Sebanja, Product Manager, Intuit
Simarpal Khaira, Senior Product Manager, Intuit
Panel: Challenges of Operationalizing ML
Alex Williams, Founder and Editor in Chief, The New Stack
Aparna Dhinakaran, Chief Product Officer, Arize AI
Barr Moses, CEO & Co-Founder, Monte Carlo
Kevin Stumpf, Co-Founder and CTO, Tecton
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, Community Coordinator, 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
Rethinking Feature Stores with Feast and Tecton
Mike Del Balso, Co-Founder & CEO, Tecton
Willem Pienaar, Feast Committer and Tech Lead, Tecton
Tying the Room Together: Apache Arrow and the Next Generation of Data Analytics Systems
Wes McKinney, CEO & Founder, Ursa Computing
Machine Learning is Going Real-Time
Chip Huyen, Adjunct Lecturer, Stanford
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
Supercharging our Data Scientists’ Productivity at Netflix
Jan Forjanczyk, Senior Data Scientist, Netflix
Ravi Kiran Chirravuri, Software Engineer, Netflix
Data Observability: The Next Frontier of Data Engineering
Barr Moses, CEO & Co-Founder, Monte Carlo
Hamilton: a Micro Framework for Creating Dataframes
Stefan Krawczyk, Manager & Lead ML Platform Engineer, Stitch Fix
Tackling Fraud with Tecton
Matt Bleifer, Product Manager, Tecton
Redis as an Online Feature Store
Taimur Rashid, Chief Business Development Officer, Redis Labs
Evolution and Unification of Pinterest ML Platform
David Liu, Head of ML & Signal Platforms, Pinterest
MLOps Done Right with Centralized Model Performance Management Powered by XAI
Krishna Gade, Co-Founder and CEO, Fiddler
Feature Stores at Tide
Hendrik Brackmann, Director of Data Science and Analytics, Tide
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
