AI/ML on OpenShift

Join Tom Corcoran from Red Hat for an intro and demo featuring AI/ML on OpenShift, where we will walk through the entire AI/ML lifecycle; from Data Engineering, Data Science, and ML-Ops that will see your models running in production.

From a process view, we will cover the AI/ML lifecycle as well as how organisations typically start their AI/ML journey or machine learning projects.

From a tool perspective, we will use Jupyter to build data models, Seldon to deploy models as Rest services, Jenkins for building and deploying models, and Verta to record the experiment parameters. Everything will be running on Red Hat OpenShift and Red Hat Open Data Hub platforms.

This intro is for anyone who is interested in learning modern techniques to be successful with your machine learning projects, such as IT Managers, Data Engineers, Data Scientists and ML Ops team members.

About Tom

Tom Corcoran is an Associate Principal Solution Architect at Red Hat.

Tom's areas of specialty are Red Hat Application Services, AI-ML Ops, and Openshift. Having held this role with Red Hat for the past five years, Tom has managed projects throughout Europe, the US, and ANZ.

Tom has over 15 years of experience in Java Development in a variety of industry sectors and geos, which ensures deep technical expertise across Red Hat’s products and solutions spanning application and AI/ML workloads. His extensive experience lends a sharp focus to the solution architect role and he brings a passion for delivering outstanding technical and business value to Red Hat's customers' projects and products.