Power Platform Managed Solution Deployment with Connection References - Allow customisations This article explores the challenges and solutions associated with Power Platform managed solution deployment, specifically focusing on connection references and the “Allow Customisations” property. Refer to the posts for more details to set up Application Lifecycle Management (ALM) for power platform: Power Platform ALM & Pipelines w/ Matt Devaney and Converting to Modern YAML Pipeline: Application Lifecycle Management in Azure DevOps for Power Platform

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.