A Prompt Column is a new AI-powered data type in Microsoft Dataverse (currently in preview) that allows you to define natural language prompts tied to other columns in a table. These prompts are processed by an AI model to generate relevant responses, which are then persistently stored in the prompt column. This column value can be used in apps, workflows, or reports. Prerequisites To […]
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What is MCP? Model Context Protocol (MCP) represents a new standard for building secure and scalable AI extensions. In this blog, we explore how MCP enables developers to build modular, plug-and-play capabilities that Copilot Studio agents can invoke, making the agents more powerful, contextual, and personalized. Model Context Protocol (MCP) allows users to connect with existing
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Autonomous agents are advanced AI systems designed to operate independently, managing and automating complex business tasks to enhance efficiency and innovation within an organization. Unlike simpler retrieval-based or task-based agents, autonomous agents do not require constant human input. Instead, they are pre-programmed to respond to specific triggers or events. Key Characteristics: Sample Scenario: An autonomous agent
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Copilot Studio now allows users to upload images directly into the platform. Once uploaded, Copilot will analyze these images and provide contextually accurate responses based on the visual content. This feature is set to enhance the interaction quality by making AI responses more intuitive and visually informed. In generative mode, we can upload images directly
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