Webinar

Automated and Scalable AI/ML Workflows on OpenShift

June 10, 20201:00 PM - 2:00 PM (GMT+02:00) Brussels, Copenhagen, Madrid, Paris

Overview

While the potential for Artificial Intelligence (AI) and Machine Learning (ML) is abound, organizations face challenges scaling AI. The major challenges are; Lacking ability to easily share and collaborate, iteratively and rapidly. Access to data is bespoke, manual and time consuming, and there is no on-demand access to ML tools, frameworks and compute infrastructure.
 
Models are often remaining prototypes and not going into production, while reproduction, tracking and explaining results of AI/ML is hard. Open Data Hub on OpenShift offers a blueprint of how you can create scalable and automated AI solutions on OpenShift.

In this webinar you will become familiar with the Open Data Hub project from an architectural and business perspective, and finally you will see live demonstrations of really cool use cases.
 
HEAR FROM EXPERTS
 
Webinar presenters are Soren Jonsson and Sebastian Johansen from IBM.

 

Agenda

   
  Learn what Quarkus is and how it works
  Understand the power of native images
 

Understand the power of super fast feedback during development
  Learn how Quarkus can help you deliver work faster and cheaper

Travel / Location


Location: 
Nordic Quarkus BlueJeans Prime Webinar
Nordic Quarkus BlueJeans Prime Webinar
,    Finland


Date: June 10, 2020
Time: 1:00 PM - 2:00 PM (GMT+02:00) Brussels, Copenhagen, Madrid, Paris


(Registration opens 30 minutes earlier)

If you have any question, send us an email.

Hear from the experts

Max Rydahl Andersen, Distinguished Engineer working for Red Hat on the Quarkus project.

 

Max has been working in professional open-source the last 15 years being a contributor to core projects like Hibernate/Hibernate Tools, WildFly, Seam and Ceylon. Max lead the team behind JBoss Tools and Developer Studio its first 10 years and been greatly involved in tooling especially around Eclipse and recently focused on developer experience around Kubernetes and OpenShift.

 

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