Azure Document Intelligence Studio - Neural vs. Template Training Azure Document Intelligence Studio formally known as form recognizer is a powerful tool to extract data from documents at scale. Among its features, the ability to “train a new model” for data extraction from documents. This process comes with two distinct options: Neural and Template. Each has its unique advantages and use cases. Neural Training The Neural option leverages deep learning algorithms to understand and process documents.

JSON Data Handling in Power Automate : outputs versus body In Power Automate, JSON data output from various actions is key to connect each other. Accessing Action Outputs Accessing the outputs of a specific action, such as the action ‘Get file properties’, the spcific property can be accessed via the outputs, for instance file name with extension.: outputs(‘Get_file_properties’)?[‘body/{FilenameWithExtension}’] Referencing Action Body A streamlined way is to reference the body directly making it simpler.

Empowering Secure Collaboration: Configuring Microsoft Loop Sharing SharePoint Tenant and Site Settings with PowerShell Guest users can be invited to collaborate within Microsoft Loop in the tenant. Refer How to work with guest users using Microsoft Loop how sharing within Loop works. This post focuses on using PowerShell to control the Microsoft Loop sharing settings to help securing data especially with Copilot for M365 which can expose data not previously accessible by other means.