Session Topics
Bringing Cutting-Edge AI Ideas from Research to Production with PyTorch
Technology
The rate of business innovation is often determined by the...
Build Better Models Faster with Weights & Biases
Workshop
As the global machine learning community grows and teams become...
Build vs Buy in 2022
Panel Discussion
Build vs buy has long been a key question for...
Building Reusable ML Systems at Etsy
Case Study
The Machine Learning Platform, Infrastructure and Systems (MIPS) org at...
Closing the Loop: Automated Model Retraining and Deployment
Case Study
In this talk, I will present a case study showing...
Codifying, Standardizing, and Serving Production-Ready ML Models with Open-Source Tool MLEM
Workshop
Open-source Iterative tool MLEM helps machine learning teams to store,...
Culture and Organizational Strategies for ML Success
Panel Discussion
Traditional approaches to managing technical projects, organizing technical teams, and...
Data Labeling for Modern Machine Learning
Perspective
Most enterprise machine learning applications today are based on supervised...
From Principles to Practice: Taking AI From a Concept to Responsible Actuality Within Any Organization
Perspective
According to Salesforce’s Ethical Leadership and Business Report, 90% of...
How Spotify is Navigating an Evolving ML Landscape with Hendrix Platform
Case Study
During this talk, Jonathan Jin and Maisha Lopa will break...
How To Create a Research-Centric Machine Learning Platform
Case Study
Most machine learning (ML) platforms can readily change and test...
Infrastructure for Rigorous ML Model Testing
Technology
ML engineers and data scientists spend most of their time...
ML Infrastructure to Build and Train Scalable Autonomous Driving Systems
Case Study
In this talk, Kevin Haas, Head of ML infrastructure at...
Model Quality as a Reliability Problem
Perspective
Model quality and performance is typically thought of as a...
Platform First: Scaling Recommendation and Personalization at Reddit
Case Study
Reddit’s mission is to bring community and belonging to every...
Real-Time ML: Challenges and Solutions
Perspective
One of the key promises of machine learning is reducing...
Responsible Machine Learning at WikiMedia
Case Study
An in depth review of how machine learning is used...
Ship Performant Models Confidently with Labelbox
Workshop
In this workshop, attendees will get a hands-on demonstration of...
Site Reliability Engineering for Reliable Machine Learning in Production
Keynote Interview
Many ML teams have evolved from simply trying to get...
Team Teardown: Evolving a Mature Platform Organization at LinkedIn
Panel Discussion
We typically hear conference presentations from the single perspective of...
The Great MLOps Debate: End-to-End ML Platforms vs Specialized Tools
Panel Discussion
Ok, we’ve established that your ML team needs some basic...
Training and Deploying Deep Learning Recommender Systems with Merlin
Workshop
Industrial recommender systems (RecSys) are made up of complex pipelines...
Understanding the Landscape of the Latest Large Models
Perspective
There seems to be a new large ML model grabbing...
Using Ray to Scale ML at Shopify
Case Study
Merlin, Shopify’s new machine learning platform, is based on an...
Why You Need a GitOps-based Machine Learning Model Registry
Technology
Model registries are a key tool in addressing challenges around...
You’re not Facebook: Architecting MLOps for B2B Use Cases
Keynote Interview
Much of the way we talk and think about MLOps...