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Intelligent Automation with IBM Cloud Pak for Business Automation

Intelligent Automation with IBM Cloud Pak for Business Automation

By : Allen Chan, Kevin Trinh, Guilhem Molines, Suzette Samoojh, Stephen Kinder
4.8 (4)
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Intelligent Automation with IBM Cloud Pak for Business Automation

Intelligent Automation with IBM Cloud Pak for Business Automation

4.8 (4)
By: Allen Chan, Kevin Trinh, Guilhem Molines, Suzette Samoojh, Stephen Kinder

Overview of this book

COVID-19 has made many businesses change how they work, change how they engage their customers, and even change their products. Several of these businesses have also recognized the need to make these changes within days as opposed to months or weeks. This has resulted in an unprecedented pace of digital transformation; and success, in many cases, depends on how quickly an organization can react to real-time decisions. This book begins by introducing you to IBM Cloud Pak for Business Automation, providing a hands-on approach to project implementation. As you progress through the chapters, you’ll learn to take on business problems and identify the relevant technology and starting point. Next, you’ll find out how to engage both the business and IT community to better understand business problems, as well as explore practical ways to start implementing your first automation project. In addition, the book will show you how to create task automation, interactive chatbots, workflow automation, and document processing. Finally, you’ll discover deployment best practices that’ll help you support highly available and resilient solutions. By the end of this book, you’ll have a firm grasp on the types of business problems that can be solved with IBM Cloud Pak for Business Automation.
Table of Contents (21 chapters)
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1
Part 1: Business Automation and Cloud Pak Overview
6
Part 2: Use Cases and Best Practices
15
Part 3: Deployment Considerations

Writing simple and complex decision logic

Each decision node in the decision model mentioned previously defines a partial decision. The name and type of the node determine what the decision is about and what the node returns to another node higher in the diagram, while the arrows indicate which inputs (provided data elements and other sub-decisions) are available for this node to compute its decision (output).

Now comes the time to actually implement the logic that represents the decision that a specific node takes. Within the decision node, in the logic panel, we can use the two following decision artifacts to define the logic: business rules and decision tables.

Business rules

Business rules are declarative statements in the form of if conditions then outcome. Here is an example of a very simple business rule that could be added to the administrative eligibility decision node of our previous example:

Figure 8.3 – Business rule

Of course, we...

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Intelligent Automation with IBM Cloud Pak for Business Automation
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