Red Hat User Group

Create a More Manageable and Collaborative AI/ML Environment.

RSVP Today for the Q3, Virtual Chicago RHUG.

Artificial intelligence (AI)/machine learning (ML) is the newest branch of software development, and with any fast growing technology comes an explosion of the software stack. Each solution fits into a niche part of the machine learning workflow, but the number of logos is slowly starting to become unmanageable.

Join this two-part virtual session to hear how one environment, Red Hat’s OpenShift Container Platform, can play a part in managing the entire AI/ML workflow and make collaboration across diverse ML teams enjoyable. Hear from Red Hat® architect, Preska Sharma, and Cloudera architect, Ryan Cicak, on AI/ML topics involving OpenShift and the Cloudera Data Platform. You won’t want to miss it!

Agenda

Session 1, led by Preska Sharma, Solutions Architect at Red Hat:

• Uncover how to build, run, and update notebook-based AI pipelines easily using Elyra’s UI editor on JupyterLabs
• How to quickly setup these pipelines by deploying Kubeflow, Jupyter, and Elyra on OpenShift’s Open Data Hub (ODH) operator

Session 2, led by Ryan Cicak of Cloudera:

• Overview of CDP (Cloudera Data Platform), running on OpenShift
• Within CDP, demo of CML (Cloudera Machine Learning) with a example of how Data Scientists or Business Analysts can collaborate on their ML projects