Red Hat OpenShift / Copenhagen 2018 | OpenShift Commons Gathering

OpenDataHub Fraud Detection
ML SIG
OpenShift Commons
July 12 2019

Open Data Hub project is a reference architecture for an AI and Machine Learning as a service platform for OpenShift built using open source tools.

"Data Hub" is a collection of open source and cloud components deployed as a "machine learning-as-a-service" platform to solve internal business problems at Red Hat that enables teams to build, deploy, and execute analytic, machine learning and AI models.

Repeatable human tasks are being replaced by automation, creating significant opportunity and risk for Red Hat. AI can be applied to our core business and direct customer services. To do so, data must be seamlessly unified from a broad range of sources and made accessible to analytic models.

This presentation is about how Red Hat runs AI and machine learning workloads on OpenShift.

Includes Brandon Philips Update on Operator Framework, all the ML Lightning Talks, AMA Panel and Hitchhiker's Guide to Kubecon/EU recorded live in Copenhagen 2018 at Kubecon CloudNativeCon

recorded at OpenShift Commons in Copenhagen at Kubecon

Lightning Talks: Clive Cox: Seldon https://www.youtube.com/playlist?list=PLaR6Rq6Z4IqeU2tGNgcBaodEWvuDFtqu2

Lightning Talks: David Aronchick: Google - Introduction to Kubeflow

Lightning Talks: William Buchwalter: Microsoft Azure

Red Hat/CoreOS Update: Operator Framework Explained with Brandon Philips recorded at OpenShift Commons in Copenhagen at Kubecon

Lightning Talks: Diane Feddema & Zak Hassan: Red Hat