Machine Learning with Business Rules on IBM Z: Acting on Your Insights

An IBM Redpaper publication

Published 27 July 2018, updated 11 December 2019

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ISBN-10: 0738456926
ISBN-13: 9780738456928
IBM Form #: REDP-5502-00
(42 pages)

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Authors: Mike Johnson, Chris Backhouse, Stéphane Faure, David Griffiths, Yann Kindelberger, Ke Wei Wei, Hao Zhang


This Redpaper introduces the integration between two IBM products that you might like to consider when implementing a modern agile solution on your Z systems. The document briefly introduces Operational Decision Manager on z/OS and Machine learning on z/OS. In the case of Machine Learning we focus on the aspect of real-time scoring models and how these can be used with Business Rules to give better decisions.

Note: Important changes since this document was written:
This document was written for an older release of Operational Decision Manager for z/OS (ODM for z/OS). ODM for z/OS 8.9.1 required the writing of custom Java code to access a Watson Machine Learning for z/OS Scoring Service (this can be seen in ). Since that time ODM for z/OS version 8.10.1 has been released and much improves the integration experience. Integrating the two products no longer requires custom Java code. Using ODM for z/OS 8.10.1 or later you can use an automated wizard in the ODM tooling to:

  • Browse and select a model from Watson Machine Learning
  • Import the Machine Learning data model into your rule project
  • Automatically generate a template rule that integrates a call to the Watson Machine Learning scoring service

Download and read this document for:

  • Individual introductions to ODM for z/OS and Machine learning
  • Discussions on the benefits of using the two technologies together
  • Information on integrating if you have not yet updated to ODM for z/OS 8.10.1

For information about the machine learning integration in ODM for z/OS 8.10.1 see "IBM Watson Machine Learning for z/OS integration" topic in the ODM for z/OS 8.10.x Knowledge Center at:

Table of contents

These topics are covered:

  • The need for a solution
  • Operational Decision Manager for z/OS for Business Rules
  • Machine Learning for z/OS for real-time scoring
  • Scoring for smarter decisions: ODM & ML integration
  • Bringing it together
  • Integration example with ODM on z/OS calling ML on z/OS
  • ODM and Scoring Decisions

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