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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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Toc

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

Summary

This chapter gave you another option to access the Scenario Simulation tool, this time using Business Central. Since our method for running Business Central relied on Docker, we took advantage of container technology to explore many different ways of deploying KIE Server images, from locally on our laptop through to scaling a deployment into the cloud. That gives us the confidence that we have many more options to edit and deploy our Business Rules within our organization as the use of decision models grows.

We will return to Business Central in Chapter 12, where we use it as a platform to demonstrate some advanced rule editing techniques. Docker will prove useful in the next chapter, as we use it to host Docker images for machine learning. And we’ll return to Azure, using Machine Learning Studio as a tool to train our models.

This book set out to focus on rules-based decision models within AI. But we would be remiss if we didn’t touch on the other main...

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