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AI and Business Rule Engines for Excel Power Users

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

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Product type Paperback
Published in Mar 2023
Publisher Packt
ISBN-13 9781804619544
Length 386 pages
Edition 1st Edition
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Authors (2):
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Paul Browne (GBP) Paul Browne (GBP)
Author Profile Icon Paul Browne (GBP)
Paul Browne (GBP)
ALEX PORCELLI ALEX PORCELLI
Author Profile Icon ALEX PORCELLI
ALEX PORCELLI
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Table of Contents (22) Chapters Close

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 18. Other Books You May Enjoy Appendix A - Introduction to Visual Basic for Applications 1. Appendix B - Testing Using VSCode, Azure, and GitHub Codespaces 2. Appendix C - Troubleshooting Docker

A safer Decision Table example

While our Decision model is very powerful, in its current form, it’s very dangerous. It recommends milk-based products to lactose-intolerant customers. Even worse, it could be recommending products with nuts to people with severe allergies.

We need to fix this. Our first thought is to update the Product Recommendation decision table. It is possible to write our rules to do this but it is also very likely that such an important decision will somehow get lost in all the rules we are writing. If not now, somebody in the future could forget this important rule with potentially fatal consequences.

Far better to chain our decision nodes to highlight in our Decision Model how important this health check rule is. Figure 4.25 is an example of how we could design this:

Figure 4.25 – A safer product recommendation service

Figure 4.25 – A safer product recommendation service

This model is downloadable as 04_Product_Recommendation-collect.dmn but is simple to recreate...

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