You're reading from AI and Business Rule Engines for Excel Power Users Capture and scale your business knowledge into the cloud – with Microsoft 365, Decision Models, and AI tools from IBM and Red Hat

Product type Paperback

Published in Mar 2023

Publisher Packt

ISBN-13 9781804619544

Length 386 pages

Edition 1st Edition

Languages

Power Query

Tools

Excel

Concepts

Information Management

Authors (2):

Paul Browne (GBP)

ALEX PORCELLI

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Table of Contents (22) Chapters

Preface

1. Part 1:The Problem with Excel, and Why Rule-Based AI Can Be the Solution FREE CHAPTER

2. Chapter 1: Wrestling with Excel? You Are Not Alone

3. Chapter 2: Choosing an AI and Business Rules Engine – Why Drools and KIE?

4. Chapter 3: Your First Business Rule with the Online KIE Sandbox

5. Part 2: Writing Business Rules and Decision Models – with Real-Life Examples

6. Chapter 4: More Decision Models, Business Rules, and Decision Tables

7. Chapter 5: Sharing and Deploying Decision Models Using OpenShift and GitHub

8. Chapter 6: Calling Business Rules from Excel Using Power Query

9. Part 3: Extending Excel, Decision Models, and Business Process Automation into a Complete Enterprise Solution

10. Chapter 7: Using Business Rules in Excel with Visual Basic, Script Lab, or Office Scripts

11. Chapter 8: Using AI and Decision Services Within Power Automate Workflows

12. Chapter 9: Advanced Expressions, Decision Models, and Testing

13. Part 4: Next Steps in AI, Machine Learning, and Rule Engines

14. Chapter 10: Scaling Rules in Business Central with Docker and the Cloud

15. Chapter 11: Rules-Based AI and Machine Learning AI – Combining the Best of Both

16. Chapter 12: What Next? A Look inside Neural Networks, Enterprise Projects, Advanced Rules, and the Rule Engine

17. Index

Why subscribe?

18. Other Books You May Enjoy

Appendix A - Introduction to Visual Basic for Applications

Introduction to macros and VBA

1. Appendix B - Testing Using VSCode, Azure, and GitHub Codespaces

2. Appendix C - Troubleshooting Docker

Swagger – a more human-friendly link to Kogito

While REST is not unfriendly, Kogito helpfully uses a tool called Swagger to make REST pages even easier to understand.

We’ll pick up where we left off in Chapter 5 where we deployed our decision model to the OpenShift cloud (dev sandbox) and shared the web page for our colleagues to admire. It’s worth going back to that web page now – remember that it looks similar to Figure 6.3.

Figure 6.3 – A reminder of what our decision model looks like in the cloud

Remember – you may need to restart/redeploy to OpenShift

As a friendly reminder, the OpenShift dev sandbox times out after 24 hours – you may need to go through the instructions in Chapter 5 again, to link the KIE sandbox to OpenShift. You may be getting tired of this renew-every-24 hours limitation. We’ll fix that in Chapter 10 when we look at more places we can deploy our decision models.

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You're reading from AI and Business Rule Engines for Excel Power Users Capture and scale your business knowledge into the cloud – with Microsoft 365, Decision Models, and AI tools from IBM and Red Hat

Table of Contents (22) Chapters

Swagger – a more human-friendly link to Kogito

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Authors (2)

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