System z (Mainframe) as the Enterprise Information Server

Build a Dedicated z/OS EIS LPAR for Information-as-a-Service for AI, ML, and Analytics

This presentation describes enabling the mainframe for providing production data for use by Artificial Intelligence, Machine Learning, and Analytics by building a dedicated data sharing LPAR to serve as the Enterprise Information Server with data virtualization and federation. A high level architecture, technical and business justification, and next steps for the project are presented.

Presented by: Stan Muse—Consulting Services Account Manager, Edge Solutions and Consulting

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