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Extending Dynamics 365 Finance and Operations Apps with Power Platform

You're reading from   Extending Dynamics 365 Finance and Operations Apps with Power Platform Integrate Power Platform solutions to maximize the efficiency of your Finance & Operations projects

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781801811590
Length 274 pages
Edition 1st Edition
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Author (1):
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Adrià Ariste Santacreu Adrià Ariste Santacreu
Author Profile Icon Adrià Ariste Santacreu
Adrià Ariste Santacreu
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Table of Contents (18) Chapters Close

Preface 1. Part 1: Dynamics 365 Finance and Operations and Power Platform FREE CHAPTER
2. Chapter 1: Dynamics 365 F&O and Low-Code Development 3. Chapter 2: Dual-Write and Virtual Tables 4. Part 2: Extending Dynamics 365 F&O with Power Platform
5. Chapter 3: Power Automate Flows in Dynamics 365 6. Chapter 4: Replacing F&O Processes with Power Automate 7. Chapter 5: Building Automations and Integrations 8. Chapter 6: Power Apps: What’s in it for Finance and Operations Consultants? 9. Chapter 7: Extending F&O Apps with Power Apps 10. Chapter 8: Power BI Reporting for Dynamics 365 F&O Apps 11. Part 3: Adding AI to Your Flows and Apps
12. Chapter 9: Integrating AI Builder 13. Part 4: Dataverse and Power Platform ALM
14. Chapter 10: Environment Management 15. Chapter 11: Solution Management 16. Index 17. Other Books You May Enjoy

Adding AI Builder image recognition to Power Automate

Now, let’s learn how we can use Power Automate and an image recognition model to update our inventory via email.

Our scenario is as follows: A warehouse worker will send a weekly picture of a box with oranges in an email. This email will be processed using Power Automate, and AI Builder will count how many oranges are in the box and update the inventory amount in Dynamics 365 F&O.

To do this, I trained an object detection model with images of oranges, oranges and pineapples, oranges and bananas, and images that contain no oranges. I want to insist on the quality of the data we use to train our models: our model is only as good as the data we use to create it.

If we just provide images of oranges, the model will identify all round objects as oranges and you could end up with a bad model (see Figure 9.7):

Figure 9.7 – Incorrect identification

Figure 9.7 – Incorrect identification

In Figure 9.7, round fruits are...

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