It's no surprise that data-intensive intelligent applications play a key role in helping organizations provide personalized user experiences to stay competitive.

But, it's not easy. These applications often span cloud providers, in-house data centers, and edge devices.

Enter the Intel and Red Hat* partnership, which enables Intel's most popular AI developer optimizations on Red Hat OpenShift* Data Science. This cloud service gives data scientists and developers a powerful AI and machine learning platform for building intelligent applications.

This session covers:

  • How to use the Intel® AI Analytics Toolkit (AI Kit) on Red Hat OpenShift Data Science for great performance and AI opportunities without a complex cloud infrastructure setup
  • How Intel and Red Hat partnered to enable Intel's most popular AI developer optimizations on Red Hat OpenShift Data Science
  • The power of drop-in acceleration for popular frameworks (such as TensorFlow* and pandas) while eliminating complex Kubernetes* cloud and infrastructure setup
  • The performance and ease-of-use of the AI Kit on Red Hat via a live demonstration

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This video features the AI Kit—familiar Python* tools and frameworks to accelerate end-to-end data science and analytics pipelines.



Intel® AI Analytics Toolkit

Accelerate end-to-end machine learning and data science pipelines with optimized deep learning frameworks and high-performing Python* libraries.
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