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https://www.microsoftinnovationpodcast.com/680

 Microsoft's AI landscape has evolved into three distinct categories: Copilot for Microsoft 365 (M365) applications, Copilot Studio for low-code chatbot development, and Azure AI Foundry (formerly AI Studio) for pro-code flexibility with AI models. Join Nanddeep Nachan on today's Power Platform Show to learn more.

TAKEAWAYs
• Declarative agents provide the simplest approach to extending Copilot functionality without complex licensing
• Teams toolkit in Visual Studio Code offers an easy way to create declarative agents using simple JSON configurations
• Copilot Studio gives business users a drag-and-drop interface for creating virtual assistants quickly
• Azure AI Foundry provides comprehensive tools for developers and data scientists building advanced AI solutions
• Retrieval Augmented Generation (RAG) pattern bridges the gap between LLMs and organization-specific data
• Contract management use cases demonstrate how AI can extract insights from millions of documents
• Graph RAG pattern enables "global queries" that deliver insights across entire document collections
• AI Foundry solutions can be deployed directly to websites, Teams apps, or Microsoft 365 Copilot
• Despite impressive personal productivity gains, many organizations still struggle to find compelling enterprise-level use cases for Copilot

🔴 Books: 
➟ Mastering SharePoint Framework (BPB Publications), Amazon bestseller - https://www.amazon.ca/Mastering-Sharepoint-Framework-Easy-Follow/dp/938932887X 
➟ Understanding Hybrid Environments in SharePoint 2019 (Apress) - https://link.springer.com/book/10.1007/978-1-4842-6050-0 
➟ Up and Running on Microsoft Viva Connections (Apress) - https://link.springer.com/book/10.1007/978-1-4842-8606-7 

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Thanks for listening 🚀 - Mark Smith