Empowering AI on Red Hat OpenShift Data Science With Intel® AI Analytics Toolkit and OpenVINO™ toolkit
Data science and machine learning are helping drive business decisions and generate insights for organizations across a spectrum of industries. However, developing and deploying highly-performant ML workflows can be challenging. Learn how Intel and RedHat have partnered together to enable Intel’s AI developer tools and performance optimizations (that are powered by oneAPI) on the RedHat OpenShift Data Science (RHODS) platform.
In this session, you will learn how to:
1. Harness the power of drop-in acceleration for popular frameworks such as TensorFlow and Pandas while eliminating complex Kubernetes cloud and infrastructure setup by using Intel® AI Analytics Toolkit on OpenShift for an easy developer experience.
2. Optimize an Automatic Speech Recognition model using OpenVINO developer tools and then deploy it in OpenShift using OpenVINO Model Server.
Watch in real time the power and ease of use of OpenVINO and AI Kit on the RHODS platform with a live demonstration.
Speaker(s)
Audrey Reznik
Audrey Reznik is a Sr. Principal Software Engineer in the Red Hat Cloud Services – OpenShift Data Science team focusing on managed services, AI/ML workloads and next-generation platforms. She has been working in the IT Industry for over 20 years in full stack development to data science roles.
As a former technical advisor and data scientist Audrey has been instrumental in educating data scientists and developers about what the OpenShift platform is and how to use OpenShift containers (images) to organize, develop, train and deploy intelligent applications using MLOps. She is passionate about Data Science and in particular the current opportunities with ML and Open Source technologies.
Sean Pryor
Sean Pryor is a Sr. Software Engineer at Red Hat, working on OpenDataHub and Red Hat Open Data Science integrating ISV partners.
