
Real-Time Analytics: Low-Latency Sync Between Dataverse and Fabric Now GA
Microsoft’s low-latency sync between Dataverse and Fabric enables real-time analytics, cutting reporting delays by 70-90%.

Microsoft’s low-latency sync between Dataverse and Fabric enables real-time analytics, cutting reporting delays by 70-90%.

Discover how Dataverse’s July 2026 updates enable AI-powered data synchronization, global optimization, and self-service data workflows for Power Platform maker

Discover the June 2026 Power Platform update: AI-driven automation, enhanced dataflows, and low-code innovations for enterprise makers.

Microsoft’s Adaptive Governance Framework transforms AI compliance for Power Platform makers, cutting deployment time by 30-40% and reducing regulatory risks.

The new Dataverse plugin on the Claude Marketplace streamlines setup, cuts time-to-market, and enhances security for Power Platform makers.

Agent Academy’s Spring Drop introduces new missions, UI enhancements, and integrations with Copilot Studio and M365 Frontier.

Dataverse Skills lets AI agents interact with Dataverse via natural language, cutting solution dev time by 60-80%.

Faster, Smarter Portals: What’s New in Power Pages If you’ve ever struggled with slow portal development or clunky UIs that break on mobile, you’re not alone. Dynamics 365 Portals have long been a cornerstone of customer self-service, but their limitations in data modeling and front-end flexibility often forced developers into custom coding traps. Microsoft has just changed that with two major updates: the Enhanced Data Model and Bootstrap 5 integration for Power Pages. Let’s explore how these changes are reshaping portal development. ...

The Problem: Fragmented Integration in Agent Workflows If you’ve ever tried to connect a chatbot to a CRM system or an IoT sensor, you know the headache of juggling disparate APIs, security protocols, and data formats. Traditional agent workflows often require custom code for every integration, leading to delays, security gaps, and rising costs. This is where Microsoft Copilot Studio and its new MCP (Microsoft Copilot Protocol) come in — transforming how agents interact with external systems. ...

The Problem: Fragmented AI Integration If you’ve ever tried to connect an AI agent to a legacy system or enterprise tool, you know the frustration. Each integration feels like starting from scratch—custom coding, security hurdles, and endless API configuration. This is where Microsoft Copilot Studio and the Model Context Protocol (MCP) step in. Together, they redefine how AI agents interact with the world, turning complex integrations into streamlined workflows. What is Model Context Protocol (MCP)? MCP is Microsoft’s answer to the chaos of AI integration. At its core, it’s a standardized framework that lets AI agents communicate with external systems via RESTful APIs, gRPC, or custom protocols. Think of it as a universal translator for AI: it exposes tools and data through predefined endpoints, which Copilot Studio agents consume using the platform’s built-in connector infrastructure. ...
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