Art of the Possible with AI on IBM zSystems: A Collection of Enterprise Experiences

An IBM Redbooks course

by Makenzie Manna, Martin Keen, Jeff Bisti, Erica Ross

Artificial Intelligence (AI) continues to have a profound impact on the way enterprises do business and IBM zSystems can serve as the great enabler for AI in your enterprise.

This series of short informational videos provides an overview and introduction into the experience and benefits of deploying AI on IBM zSystems. The real life experiences covered in this series focus on how client's have been able to leverage AI on IBM zSystems to solve a key business problem and the benefits received from integrating AI into existing z/OS workloads to create a holistic solution. In particular, we explore the busines probelm, solution, and value received from the solution for two key use cases, fraud detection in banking and fraudulent claims processing in U.S. state government.

Target audience

  • Primary: CIO, CTO, IT Managers, Line of Business Managers.
  • Also applicable to: Anybody interested in learning the business benefits of AI on IBM zSystems.

Materials students need for the course

None

Section 01
Introduction to AI on IBM zSystems

This section covers the following topics:


  • Major themes of AI on IBM zSystems
  • Overview of AI on IBM zSystems
  • Introduction to the use cases covered in the series

Section 02
A Fraud Detection and Co-location Use Case

This section covers the following topics:


  • Overview of fraud as a business problem in the Financial Services Sector
  • How a financial institution implemented automation and real-time means of fraud and risk detection, transforming their existing fraud detection solution, through leveraging AI on IBM zSystems to detect fraudulent transactions during credit card authorization processing
  • Problems that arose with other, off-platform solutions
  • Overview of the solution that enabled the enterprise to meet SLAs and achieve performance and efficiency improvements through co-location, obtaining more reliable and predictable responses
  • Benefits received from deploying an AI fraud detection model on IBM zSystems as a solution to the business problem

Section 03
A Fraudulent Claims Processing Use Case

This section covers the following topics:


  • Overview of claims fraud as a business problem in the Public Sector
  • How a U.S. State Government implemented AI on IBM zSystems to address their manually intensive process to determine fraudulent claims
  • Problems that arose with other, off-platform solutions
  • Overview of the repeatable and explainable solution they implemented on zSystems and how that enabled efficiency and security
  • Benefits received from the implemented solution using IBM Watson Machine Learning for z/OS

Section 04
Summary of AI on IBM zSystems

This section covers the following topics:

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