Ray RLlib

Ray Train

Ray Datasets

RayDP

Retail

Gaming

Government

Financial

Ray Serve

Anyscale

Ray Core

Healthcare

Technology

Here you can find where the Anyscale and Ray teams will be in attendance at industry events across the globe. 

Industry Event

Press Interview

On-Demand Webinar

Webinar

RL Summit

Weekly Demo

Ray Meetup

Anyscale GA Launch

Anyscale Academy provides training on the Ray ecosystem, tailored for data scientists, data engineers, and MLOps engineers.

Anyscale Academy Logo

Anyscale Academy

Ray Summit brings together the community of architects, machine learning engineers, researchers, and other developers building the next generation of scalable, distributed, high-performance Python and machine learning applications. The conference will include those who are already using Ray platform and those who are interested in learning how Ray can meet their needs.

Ray Summit

rob and dan

Daniel Imberman

Rob Deeb

Daniel Imberman (PMC Member, Apache Airflow | Software Engineer) & Rob Deeb (Senior Data Analytics Engineer), Astronomer.io

Data Science at Scale: From Notebook to Production with Airflow and Ray

devin

Devin Petersohn

Devin Petersohn, PhD Student, UC Berkeley

Scaling Interactive Data Science with Modin and Ray

chris van p

Chris Van Pelt

Chris Van Pelt, Co-founder, Weights & Biases

W&B Tables and Ray

clark

Clark Zinzow

Clark Zinzow, Software Engineer, Anyscale

Per-epoch Shuffling Data Loader: Mix It Up As You Train!

wildlife

Emiliano Castro

Vinicius Alves

Felipe Antunes

Emiliano Castro (Principal Data Scientist), Vinicius Alves
(Data Scientist), & Felipe Antunes (Staff Data Scientist), Wildlife Studios

Using Reinforcement Learning to Optimize IAP Offer Recommendations in Mobile Games

NAME

EMAIL

COMPANY

Register to watch

travis

Travis Addair

End-to-End AutoML with Ludwig on Ray

patrick 

Patrick Ames

Patrick Ames, Senior Software Engineer, Amazon

Petabyte Scale Datalake Table Management with Ray, Arrow, Parquet, and S3

simon

Simon Mo

Ray Serve: Patterns of ML Models in Production

kai and michael

Michael Mui

Kai Fricke

Michael Mui, Senior Software Engineer, Uber ML & Kai Fricke, Software Engineer, Anyscale

Distributed XGBoost on Ray

edi 

Edi Palencia

Edi Palencia, Principal AI Engineer, Microsoft

Offline RL with RLlib

raoul

Raoul Khouri

Raoul Khouri, Quantitative Software Engineer, Two Sigma

A 24x Speedup for Reinforcement Learning with RLlib + Ray

nachi

Nachi Mehta

Ray and Anyscale: An Optimization Journey

pieter

Pieter Abbeel

Pieter Abbeel, Professor, UC Berkeley | Founder, Covariant | Host, The Robot Brains Podcast

Human-in-the-Loop Reinforcement Learning

sarah

Sarah Bird

Sarah Bird, Principal Program Manager, Responsible AI Lead, Emerging Technology & Research Strategy Lead, and Azure AI, Microsoft

Responsible AI at Scale

Edward Oakes, Software Engineer, Anyscale

[Opening Keynote] Anyscale Demo: Machine Learning Application from Dev to Prod

Ion Stoica, co-founder, executive chairman & president, Anyscale

[Opening Keynote] Making Distributed Computing Easy

robert

Robert Nishihara, co-founder and CEO, Anyscale

[Opening Keynote] State of Ray

Archit Kulkarni

Seamlessly Scaling your ML Pipelines with Ray Serve

A one stop shop for all events, past and future, to connect and learn from the global community of Ray experts.

hero2

Thumbnail: Webinar: Getting Started with Distributed Training at Scale

Getting Started with Distributed Training at Scale

121125 1500x1000 2x

 Live Virtual Hands On Lab: Building Scalable AI with Ray 

Lineage Tracking webinar cover photo

From Unity Catalog to MLflow: Experiment Tracking and Lineage for Ray

Virtual Hands on Lab

 Live Virtual Hands On Lab: Building Scalable AI with Ray

This section is used to order the "Types" and "Tags" that show up for filters on the Event Index

Event Types

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Events