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Saturday, January 25 • 1:30pm - 3:25pm
Intelligent apps: from statistics to serverless

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Today’s most exciting applications learn from data to solve problems. Developer teams are responsible for creating these intelligent applications, and OpenShift provides an unbeatable platform to manage them. This tutorial will show you;
how OpenShift streamlines the path from discovery to production for intelligent apps,
the advantages of serverless for machine learning systems,
how to train, evaluate, publish, and monitor predictive models in a contemporary serverless architecture,
how to incorporate intelligent features into your apps.
We’ll do all of this on a cutting-edge stack including OpenShift, the Open Data Hub, and Knative. Developers will leave this session equipped to build apps that depend on machine learning; ML engineers and data scientists will leave prepared to take advantage of OpenShift for their daily work. All attendees will develop an understanding of how OpenShift supports both data science discovery and production machine learning systems.

avatar for Sophie Watson

Sophie Watson

Senior Data Scientist, Red Hat, inc
Sophie Watson is a data scientist at Red Hat, where she helps customers use machine learning to solve business problems in the hybrid cloud. She is a frequent public speaker on topics including machine learning workflows on Kubernetes, recommendation engines, and machine learning... Read More →
avatar for William Benton

William Benton

Engineering Manager and Senior Principal Software Engineer, Red Hat
Senior Principal Software Engineer

Saturday January 25, 2020 1:30pm - 3:25pm CET
Workshop Room C - C228 Faculty of Information Technology, Brno University of Technology Božetěchova 1 / 2 612 00 BRNO Czech Republic