Technology
The rate of business innovation is often determined by the speed of implementing, experimenting and deploying new ideas. This put pressure on the flexibility of the developer toolchain and MLOps infrastructure.
Workshop
As the global machine learning community grows and teams become...
Case Study
The Machine Learning Platform, Infrastructure and Systems (MIPS) org at Etsy is responsible for enabling machine learning centrally across all ML practitioner groups; In this session, we'll talk about our practices.
Case Study
In this talk, I will present a case study showing how my team automated the model retraining process for a language model that powers a key product feature. In particular, the framework through which we are able to automate the deployment
Workshop
Open-source Iterative tool MLEM helps machine learning teams to store,...
Panel Discussion
Traditional approaches to managing technical projects, organizing technical teams, and...
Perspective
Most enterprise machine learning applications today are based on supervised...
Perspective
According to Salesforce’s Ethical Leadership and Business Report, 90% of...
Case Study
During this talk, Jonathan Jin and Maisha Lopa will break down how Spotify’s Hendrix Platform is rising to meet rising trends and balancing the benefits conferred through Platform standardization
Case Study
Most machine learning (ML) platforms can readily change and test...
Technology
ML engineers and data scientists spend most of their time...
Case Study
In this talk, Kevin Haas, Head of ML infrastructure at Waymo, discusses Waymo’s progress towards building a scalable technology platform for autonomous driving
Perspective
Model quality and performance is typically thought of as a problem within scope for model developers more than ML production engineers. But changes in model quality represent the only truly end-to-end test of ML infrastructure
Case Study
Reddit’s mission is to bring community and belonging to every person in the world. A huge part of fulfilling this is helping users find the communities they love and surfacing the most relevant conversations. In this talk, we will explore how Reddit has taken a platform first approach to scaling recommendation and personalization via its Ranking Platform.
Perspective
One of the key promises of machine learning is reducing...
Case Study
An in depth review of how machine learning is used by the Wikimedia Foundation to support Wikipedia.
Workshop
In this workshop, attendees will get a hands-on demonstration of...
Keynote Interview
Many ML teams have evolved from simply trying to get...
Panel Discussion
We typically hear conference presentations from the single perspective of...
Panel Discussion
Ok, we’ve established that your ML team needs some basic...
Workshop
Industrial recommender systems (RecSys) are made up of complex pipelines...
Perspective
There seems to be a new large ML model grabbing...
Case Study
Merlin, Shopify’s new machine learning platform, is based on an...
Technology
Model registries are a key tool in addressing challenges around...
Keynote Interview
Much of the way we talk and think about MLOps...