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Democratizing Application Development with AppSheet

You're reading from  Democratizing Application Development with AppSheet

Product type Book
Published in Jan 2023
Publisher Packt
ISBN-13 9781803241173
Pages 396 pages
Edition 1st Edition
Languages
Authors (3):
Koichi Tsuji Koichi Tsuji
Profile icon Koichi Tsuji
Suvrutt Gurjar Suvrutt Gurjar
Profile icon Suvrutt Gurjar
Takuya Miyai Takuya Miyai
Profile icon Takuya Miyai
View More author details

Table of Contents (20) Chapters

Preface 1. Part 1 – Introduction and Getting Started
2. Chapter 1: Getting Started with AppSheet 3. Part 2 – App Editor and Main Features
4. Chapter 2: Understanding App Editor and Data Sources 5. Chapter 3: Presenting App Data with UX/Views 6. Chapter 4: Manipulating Data with Functions and Expressions 7. Chapter 5: Manipulating Data with Behaviors and Actions 8. Chapter 6: Controlling App Users and Data Security 9. Chapter 7: Managing the App Environment 10. Part 3 – Advanced Features and External Services
11. Chapter 8: Automating Recurring Data Changes and Scheduling Tasks 12. Chapter 9: Using Intelligence and Advanced Features 13. Chapter 10: Extending App Capabilities with Third-Party Services 14. Part 4 – App Templates and Tricks for App Building
15. Chapter 11: Building More Apps with App Templates 16. Chapter 12: Tips and Tricks 17. Chapter 13: Appendix 18. Index 19. Other Books You May Enjoy

Summary

As we discussed in this chapter, AppSheet currently provides advanced AI features driven by Google’s machine learning. We hope you got a quick insight into each feature to get started with testing.

Once you do some hands-on testing with them, you may find some functionalities are not returning the results you need. It could be because the machine learning algorithm does not support your complex use cases. For instance, OCR models do not recognize the complicated format of some target images even with fixed styles. It is also possible that you don’t get the values expected as a result of running your own predictive models. We have to admit that these advanced features may not accomodate your unique business requirements and the models may not return values with a high level of accuracy due to the limited capabilities of the AI.

It may well be the case that Google’s machine learning service becomes more advanced and sophisticated as time goes by. With...

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