Talk: "Data Analytics und Machine Learning auf OpenShift mit OpenDataHub" Language: German or English (depends on the audience) Speaker: Ingo Börnig (Red Hat)
With the availability and accessibility of GPU resources in on-premise and cloud infrastructures, most of our enterprise customers start experimenting with advanced data analytics topics and machine learning. Typically they start in a research mode in isolated projects on special built infrastructure. Wouldn’t it be great if we could commoditize these workloads using a self-service standard platform approach? In this talk I will shortly introduce the terms and topics of data analytics, machine learning and AI. Then I will show what Open Source components can be used to run this on Kubernetes platforms like OpenShift. As an example we will introduce the community projects opendatahub.io and kubeflow to demonstrate how easy it is to implement analytics and ML workload on standard OpenShift clusters.
About the speaker: Ingo works as a chief architect at Red Hat consulting large enterprise customers adopting open source infrastructures and technologies. All through his professional career he has been devoted to Open Source and its application in large enterprises. Before joining Red Hat in 2012 he worked at IBM and SUSE in different roles. Ingo has a diploma in physics and you can reach him @opensourceingo on Twitter.