Book Image

Microsoft Power Apps Cookbook, 2e - Second Edition

By : Eickhel Mendoza
3 (1)
Book Image

Microsoft Power Apps Cookbook, 2e - Second Edition

3 (1)
By: Eickhel Mendoza

Overview of this book

Power Apps is a low-code platform owned by Microsoft. With this platform, you can create solutions to solve your business needs while integrating with other components of the Power Platform, such as Microsoft Power Automate, Microsoft Power BI, and others. This book is a handy solution guide to meet many organizational requirements. Microsoft Power Apps Cookbook, Second Edition, takes a pragmatic approach where every business scenario is presented in a quick, practical, and action-oriented recipe. You will be able to use these instant solutions in your development environment and customize your business apps to meet challenging business needs. This will help you handle real-world scenarios and experiences to give you a head start in your Power Apps projects. You will discover various aspects of Power Apps, from building canvas apps, designing model-driven solutions, extending apps with custom connectors, and integrating apps with other platforms, to the pro-developer side including Power Apps Component Framework and creating website experiences for external users with Power Pages. By the end of this Microsoft Power Apps book, you will have gained experience in developing applications using the Power Apps platform and all its features.
Table of Contents (15 chapters)
13
Other Books You May Enjoy
14
Index

Empowering Your Applications with No Code Artificial Intelligence

Artificial Intelligence’ (AI) is used to describe when computers perform tasks such as problem-solving, or learning using capabilities commonly found in intelligent beings. We can use the techniques found in AI to enhance business processes, seeing as that is our primary task when using the Power Platform.

AI Builder is a Power Platform add-on that brings these techniques to the low-code platform with custom models like form processing, object detection, and prebuilt models such as text recognition and language detection. The model type gets chosen depending on the business problem it aims to solve.

This chapter will use some of these models to solve specific business problems using the following recipes:

  • Creating a customer success solution using sentiment analysis
  • Building a text recognition system using canvas apps
  • Using Power Automate to create an invoice classification...