Summary

This chapter gave a brief overview of how to use the decision part of IBM Cloud Pak for business automation to model decisions, using a simple top-down approach that will appeal to the business analyst, especially as they’re discovering and crafting decisions. These can be augmented with ML models easily, to build AI-infused automated decisions that can be used either from an existing (or new) standalone application or as part of the Cloud Pak, invoked as an automation service from a workflow or automation application.

This tooling is designed to foster collaboration between business analysts and developers, to guide the analyst as they’re defining decision logic as business rules and decision tables, and to offer an easy way to try to validate the decision model before deploying it to the high-performance runtime for execution.

Now, as was presented in the overall view of automation at the beginning of this book, quite often, decisions are part of business...