Featured Event

Data Summit 2020 has been Postponed. See our Announcement for more information.

May 19 – 20, 2020
The Hyatt Regency Boston

Data Summit offers a comprehensive educational experience designed to guide you through all of the key issues in data management and analysis today. This 2-day event brings together IT managers, data architects, application developers, data analysts, project managers, and business managers for an intense immersion into the key technologies and strategies for becoming a data-informed business. Not only will you have the opportunity to hear and speak to industry-leading professionals, you'll be able to networks with peers that have either been where you are or are headed in a similar direction. Attend Data Summit to accelerate your Big Data education!

Data Summit

Events

Spark and AI Summit 2020

June 22 - 25, 2020 San Francisco, CA

WELCOME TO THE LARGEST DATA AND MACHINE LEARNING CONFERENCE!

Join over 7,000 data scientists, engineers and analysts to collaborate at the intersection of data and ML. You will learn about the latest advances in open-source technologies such as Apache Spark™ , Delta Lake, MLflow, TensorFlow, and PyTorch as well as best practices for deploying AI in the real world. You will also learn the latest on bleeding edge OSS technologies including Delta Lake, MLflow, and Koalas.

REV 3 Data Science Leaders Summit

October 13 - 14, 2020 Hyatt Regency Austin, 208 Barton Springs Rd, Austin, TX

Rev 3 features interactive sessions, practical workshops, poster sessions for interesting modeling techniques and accomplishments, and stimulating conversations about how to make data science an enterprise-grade capability.

Leaders in the data science community present solutions for instrumenting workflows across the business with models. They provide frameworks, innovations, and tangible tips that are applicable to data science teams’ daily lives. Topics span high-level questions like how to best structure your data science team to technical challenges like the best way to integrate a data science platform within existing IT infrastructures and workflows.