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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
Languages
Tools
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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

Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: “The formula to match with the first 10,000 customers is Customer.Number < 10000.”

A block of code is set as follows:

let
   // "SourceUrl" with quotes needs to match the named range on our Excel sheet. You may need to change {1} to {0} depending on when your first line begins
   pSourceUrl = Excel.CurrentWorkbook(){[Name="SourceUrl"]}[Content]{1}[Column1]
in
   pSourceUrl

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

let
   // "SourceUrl" with quotes needs to match the named range on our Excel sheet. You may need to change {1} to {0} depending on when your first line begins
   pSourceUrl = Excel.CurrentWorkbook(){[Name="SourceUrl"]}[Content]{1}[Column1]
in
   pSourceUrl

Any command-line input or output is written as follows:

curl -X 'POST' \
  'https://dmn-dev-sandbox-yu88rl6qu490-crt-openshift-dev.apps.sandbox.x8i5.p1.openshiftapps.com/Customer Recommendations/Product Recommendation Service' \
  -H 'accept: application/json' \
  -H 'Content-Type: application/json' \
  -d '{
  "Customer": {
    "Number": 0,
    "Name": "string",
    "Date of Birth": "2022-10-23",
    "Country of Residence": "string",
    "Special Requests": "diabetic",
    "Previous Orders": [
      0
    ]
  }
}'

Bold: Indicates a new term, an important word, or words that you see onscreen. For instance, words in menus or dialog boxes appear in bold. Here is an example: “Click Done at the bottom right of the screen to save the code and exit the screen.”

Tips or important notes

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