All Things Microsoft AI

On April 23, 2025, Rachel Kang presented " Hybrid Web and Desktop apps with .NET MAUI and Blazor " to the Cleveland C# User Group . The video can be found at https://www.youtube.com/watch?v=Eg3XTkctzoE Although this presentation was targeted to Software developers, the technology itself offers several advantages to businesses that managers and executives need to consider.   Businesses need applications that are versatile, scalable, and cost-effective. Enter .NET MAUI and Blazor, a powerful combination that enables developers to build hybrid applications that seamlessly run on both web and desktop platforms. This approach offers numerous advantages to businesses looking to optimize their software solutions.   1. Cross-Platform Efficiency One of the biggest advantages of using .NET MAUI and Blazor is the ability to write code once and deploy it across multiple platforms. Businesses no longer need separate teams for web and desktop development—th...

In Azure, a tenant refers to a dedicated instance of Microsoft Entra ID (formerly Azure Active Directory) that an organization receives when signing up for a Microsoft cloud service like Azure, Microsoft 365, or Dynamics 365.   Azure Tenant Identity Management : A tenant provides a centralized identity system for managing users, groups, and applications. Subscription Association : A tenant can own one or multiple Azure subscriptions , but each subscription belongs to only one tenant. Security & Access Control : Tenants enable role-based access control (RBAC) and authentication across Azure services. Domain Integration : Organizations can associate custom domains with their tenant for branding and authentication Dedicated: a Tenant is a dedicated instance of Microsoft Entra ID (formerly Azure Active Directory) that an organization receives when signing up for a Microsoft cloud service. Boundary: It acts as a boundary for identity management, subscriptions, an...

This article explains the basic difference between using Azure AI Language Service compared to an LLM (Large Language Model) with a custom prompt.   Overview Using Language Service with Azure Language Studio, the model can be setup to return the user’s intention based on utterances and entities used for training.  It will then return a JSON result set as seen below.       JSON Result Returned:   {     "query": "I want to buy a car\n",     "prediction": {         "topIntent": "BuyCar",         "projectKind": "Conversation",         "intents": [             {                 ...

User Groups Apr 10: Roanoke Valley .NET User Group Apr 17: GLUG.NET Apr 23: Cleveland C# User Group   Online Apr 11: Global AI Bootcamp 2025 - Cleveland May 2: StirTrek Aug 1: Cincy Deliver