AI/ML on OpenShift Webinar

This session will show you how Red Hat® provides tools and technologies to support data scientists at all stages of the machine learning workflow, and streamlines the path from discovery machine learning projects to production machine learning systems.

You'll see an end to end demo of the Machine Learning workflow on OpenShift®, starting from provisioning a self-service JupyterHub environment, then using OpenShift Pipelines to deploy a serverless model service. Finally, you'll see how to monitor this model so as to identify data drift or changing performance.

Attendees will leave with an understanding of how Red Hat supports data scientists and machine learning engineers, whether they are in the exploratory stages of a project or are managing production machine learning systems.

Marius Bogoevici

Marius Bogoevici is a Chief Solutions Architect in the Financial Services team at Red Hat, where he acts as trusted advisor on industry trends, technology strategy, and best practices to more than 30 Fortune 500 banks in the US and Canada. Using his expertise in modern application development and data strategy, Marius is helping customers accelerate their digital transformation using artificial intelligence and machine learning techniques.

Virtual Event Details

Time: 3:00 p.m. - 4:00 p.m.

Date: October 21, 2020

Any questions? Please email kwhitson@redhat.com