Describe how Power Apps and Power Automate can consume AI Builder data
AI Builder models all generate data in some form or another. The Business Card Reader model generates database records containing the information scanned from the business cards. The Prediction model generates a single binary result, such as a yes or no. The Language Detection model generates a two-digit code indicating the language of the input data. Apps and flows can make use of this generated data in various ways.
In some cases, such as the Business Card Reader and Form Processing models, their primary function is to scan data from source documents and save it by placing individual data points in the correct fields of a database record. However, Power Apps and Power Automate developers can easily use the data in other ways as well, such as by adding actions that forward the data to specific users by email or with other messaging applications.
Other AI Builder models are designed to categorize data by extracting key phrases or applying tags and labels. These processes can make it easier to locate specific types of data at a later time by searching for specific tags, labels, or phrases. These processes also provide additional capabilities to apps and flows. However, instead of directing new incoming data to appropriate recipients based on its contents, tagging and labeling makes it possible for apps and flows to locate specific information in an existing Common Data Service database by performing searches for key phrases, tags, and labels.