Abstract
This document focuses on conveying IBM's thought leadership around outlining a roadmap for customers, assisting them in understanding the best path to getting a jump start on an AI project on IBM Z. From evaluating use cases, to selecting the right use case and understanding the potential pitfalls, this document will discuss key considerations and highlight resources to help get you started.
Table of Contents
The mainframe to power AI in core business workloads is in your data center
Leveraging traditional AI on IBM Z
The framework
Action 1: Who to talk to and how to talk to them
Action 2: Use case discovery and assessment
Action 3: Identify differentiating features that can bring additional value
Action 4: Key communication for an AI project
What's next: How IBM can help
Resources for more information
Special Notices
The material included in this document is in DRAFT form and is provided 'as is' without warranty of any kind. IBM is not responsible for the accuracy or completeness of the material, and may update the document at any time. The final, published document may not include any, or all, of the material included herein. Client assumes all risks associated with Client's use of this document.