Empower AI on Red Hat OpenShift* Data Science with oneAPI Toolkits
Data science and machine learning help drive business decisions and generate insights for organizations across a spectrum of industries. But, developing and deploying highly performant machine learning workflows can be challenging. Learn how Intel and Red Hat* partnered to enable AI developer tools from Intel and oneAPI performance optimizations on the Red Hat OpenShift* Data Science platform.
This session shows how to:
- Harness the power of drop-in acceleration for popular frameworks such as TensorFlow* and pandas. Eliminate complex Kubernetes* cloud and infrastructure set up by using Intel® AI Analytics Toolkit on OpenShift.
- Optimize an automatic speech recognition model using OpenVINO™ Development Tools. Then deploy the model in OpenShift using the OpenVINO model server.
Speakers
Audrey Reznik is a senior principal software engineer in the Red Hat Cloud Services - OpenShift Data Science team. She focuses on managed services, AI and machine learning workloads, and next-generation platforms. She has worked in IT for over 20 years in full-stack development and data science roles. Audrey is passionate about data science, in particular the current opportunities with machine learning and open source technologies.
Sean Pryor is a senior software engineer at Red Hat. He integrates independent software vendor (ISV) partners on Open Data Hub and Red Hat Open Data Science.
Product and Performance Information
Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.