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Merge branch 'dec-updates' of https://github.com/microsoft/Solution-Accelerators into dec-updates
2 parents ab2cf92 + c4fe9c5 commit 550ad23

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‎code/src/App.tsx‎

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@@ -314,7 +314,7 @@ function App() {
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url: "#accelerators"
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}}
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onNavigate={scrollToSection}
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videoUrl="https://www.youtube.com/embed/h8Akr8iDims"
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videoUrl="https://www.youtube.com/embed/MaWIr95YAVc"
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videoAutoplay={false}
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/>
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</div>

‎code/src/data/cards/Build_your_own_copilot_-_Researcher.json‎

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‎code/src/data/cards/Container_Migration.json‎

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"stability": "Live",
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"key": ["Container-Mi"],
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"accelerator": "Container-Migration",
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"programmingLanguages": ["Python", "Typescript"],
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"programmingLanguages": ["Python", "TypeScript"],
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"excerpt": "Leverage AI to streamline container platform migration by automating tasks empowering organizations to focus on high-value tasks.",
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"productsAndServices": ["Azure AI Services", "Azure Cosmos DB", "Azure Container Apps", "Azure Configuration Service"],
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"githubUrl": "https://github.com/microsoft/Container-Migration-Solution-Accelerator",

‎code/src/data/cards/Customer_Chatbot.json‎

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{
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"solutionPlays": ["Innovate with AI Platform", "Build and Modernize Apps" ],
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"solutionAreas": ["Cloud & AI Platforms"],
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"stability": "Live",
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"key": ["customer-chatbot"],
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"accelerator": "Customer Chatbot",
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"featured": false,
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"excerpt": "Create a customer chatbot that enables natural interactions for external customers, provides real-time assistance, and improves overall customer satisfaction leveraging AI.",
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"productsAndServices": ["Microsoft Foundry", "Azure OpenAI Service", "Foundry IQ", "Microsoft Agent Service", "Azure Cosmos DB", "Azure App Service"],
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"programmingLanguages": ["Python", "React", "TypeScript"],
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"githubUrl": "https://aka.ms/CSAGoldStandards/CustomerChatbot",
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"assets": [
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{
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"label": "Walkthrough",
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"href": "https://aka.ms/CustomerChatbotDeck",
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"fileType": "pptx"
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}
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],
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"technicalPattern": "Customer Chatbot",
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"foundryTemplateName": "",
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"useCases": ["Enable Retail product discovery through AI powered chat ", "Extract key product information from unstructured data using AI-powered chat", "Provide relevant information about company policy for product return", "Provide AI-driven chat response based on conversational queries", "Enable interactive data exploration through natural language queries", "Improve customer interaction with AI-powered knowledge retrieval"],
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"keywords": [ "Customer chatbot", "Data and AI", "Digital and App Innovation", "Hero Demo", "Product Discovery", "Customer Interaction", "Multiagent", "Agent Framework", "AI Powered Conversation", "Conversational AI"],
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"industries": ["Retail"],
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"releaseDate": "2025-12-08",
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"updatedDate": "2025-12-08"
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}

‎code/src/data/cards/Real-Time_Intelligence_for_Operations.json‎

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{
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"solutionPlays": ["Unify your data platform"],
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"solutionAreas": ["Cloud & AI Platforms"],
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"stability": "Live",
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"key": ["real-time-intel-for-ops"],
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"accelerator": "Real-Time Intelligence for Operations",
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"featured": false,
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"programmingLanguages": ["Python", "KQL", "PowerShell", "Bicep"],
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"excerpt": "Harness Real-Time Intelligence on the unified data foundation with Microsoft Fabric to minimize downtime, maximize asset productivity, and optimize operations.",
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"productsAndServices": ["Microsoft Fabric", "OneLake", "Real-Time Intelligence", "Fabric Data Agent", "Eventstream in Microsoft Fabric", "Eventhouse in Microsoft Fabric", "Azure Event Hubs", "Fabric Activator"],
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"githubUrl": "https://aka.ms/RTIOps",
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"assets": [
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{
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"label": "Walkthrough",
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"href": "https://aka.ms/RTIOps_Overview",
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"fileType": "pptx"
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}
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],
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"technicalPattern": "Unify your Data",
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"foundryTemplateName": "",
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"useCases": ["Manufacturing", "Operations", "Data Agents", "AI", "Analytics", "Real-Time Intelligence"],
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"keywords": ["AI", "Real-Time Intelligence", "Microsoft Fabric", "OneLake", "analytics", "enterprise data", "data agent", "agentic AI", "kql", "azd template", "Eventstream in Microsoft Fabric", "Eventhouse in Microsoft Fabric", "Fabric Activator", "Azure Event Hubs", "operational data", "real-time simulator"],
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"industries": ["Industrials and Manufacturing"],
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"releaseDate": "2025-12-10",
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"updatedDate": "2025-12-10"
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}

‎code/src/data/generated/cards.json‎

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"accelerator": "Agentic Applications for Unified Data Foundation",
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"programmingLanguages": [
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"Python",
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"C#",
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"SQL",
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"TypeScript"
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],
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"Microsoft Agent Framework",
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"Azure App Service"
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],
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"githubUrl": "https://github.com/microsoft/agentic-applications-for-unified-data-foundation-solution-accelerator",
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"githubUrl": "https://aka.ms/UnifiedDataAgent",
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"assets": [
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{
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"label": "Walkthrough",
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"releaseDate": "2024-12-31",
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"updatedDate": "2025-08-15"
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},
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{
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"solutionPlays": [
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"Innovate with AI apps & agents",
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"Unify your data platform"
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],
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"solutionAreas": [
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"Cloud & AI Platforms"
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],
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"stability": "Live",
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"key": [
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"Multi-agent Custom Automation Engine",
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"Content Processing",
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"Conversation Knowledge Mining"
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],
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"accelerator": "Build your own copilot – Researcher",
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"programmingLanguages": [
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"Bicep",
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"TypeScript",
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"Python"
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],
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"excerpt": "Create your own conversational AI assistant to easily research relevant articles for any specific topic and aid with document authoring.",
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"productsAndServices": [
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"Azure AI Foundry Models",
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"Azure AI Search",
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"Microsoft Fabric",
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"Azure App Service",
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"Prompt Flow"
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],
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"githubUrl": "https://github.com/microsoft/Build-your-own-copilot-Solution-Accelerator/tree/byoc-researcher",
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"assets": [
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{
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"label": "Walkthrough",
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"href": "https://aka.ms/BYCDeck-Researcher",
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"fileType": "pptx"
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}
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],
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"technicalPattern": "Build your own copilot",
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"foundryTemplateName": "Find relevant information for a specific topic",
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"useCases": [
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"Research and Development",
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"Automate research article retrieval based on specific topics",
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"Summarize key insights from multiple sources for quick review",
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"Assist in document authoring with AI-generated content suggestions",
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"Enable semantic search for relevant research materials",
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"Provide AI-driven analysis of research trends and patterns",
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"Enhance collaboration by integrating research findings into shared platforms"
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],
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"keywords": [
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"Data processing",
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"Semantic Search",
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"Research analysis",
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"Data and AI",
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"Digital and App Innovation",
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"BYOC"
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],
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"industries": [
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"Defense and Intelligence",
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"Education",
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"Financial Services",
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"Healthcare",
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"Industrials and Manufacturing",
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"Professional Services"
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],
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"releaseDate": "2024-12-31",
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"updatedDate": "2025-08-15"
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},
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{
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"solutionPlays": [
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"Innovate with AI apps & agents"
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"accelerator": "Container-Migration",
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"programmingLanguages": [
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"Python",
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"Typescript"
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"TypeScript"
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],
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"excerpt": "Leverage AI to streamline container platform migration by automating tasks empowering organizations to focus on high-value tasks.",
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"productsAndServices": [
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"releaseDate": "2025-12-15",
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"updatedDate": "2025-12-15"
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},
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{
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"solutionPlays": [
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"Innovate with AI Platform",
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"Build and Modernize Apps"
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],
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"solutionAreas": [
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"Cloud & AI Platforms"
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],
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"stability": "Live",
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"key": [
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"customer-chatbot"
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],
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"accelerator": "Customer Chatbot",
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"featured": false,
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"excerpt": "Create a customer chatbot that enables natural interactions for external customers, provides real-time assistance, and improves overall customer satisfaction leveraging AI.",
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"productsAndServices": [
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"Microsoft Foundry",
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"Azure OpenAI Service",
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"Foundry IQ",
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"Microsoft Agent Service",
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"Azure Cosmos DB",
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"Azure App Service"
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],
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"programmingLanguages": [
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"Python",
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"React",
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"TypeScript"
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],
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"githubUrl": "https://aka.ms/CSAGoldStandards/CustomerChatbot",
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"assets": [
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{
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"label": "Walkthrough",
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"href": "https://aka.ms/CustomerChatbotDeck",
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"fileType": "pptx"
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}
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],
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"technicalPattern": "Customer Chatbot",
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"foundryTemplateName": "",
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"useCases": [
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"Enable Retail product discovery through AI powered chat ",
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"Extract key product information from unstructured data using AI-powered chat",
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"Provide relevant information about company policy for product return",
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"Provide AI-driven chat response based on conversational queries",
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"Enable interactive data exploration through natural language queries",
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"Improve customer interaction with AI-powered knowledge retrieval"
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],
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"keywords": [
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"Customer chatbot",
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"Data and AI",
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"Digital and App Innovation",
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"Hero Demo",
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"Product Discovery",
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"Customer Interaction",
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"Multiagent",
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"Agent Framework",
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"AI Powered Conversation",
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"Conversational AI"
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],
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"industries": [
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"Retail"
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],
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"releaseDate": "2025-12-08",
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"updatedDate": "2025-12-08"
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},
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{
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"solutionPlays": [
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"Innovate with AI apps & agents",
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"releaseDate": "2025-03-31",
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"updatedDate": "2025-12-17"
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},
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{
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"solutionPlays": [
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"Unify your data platform"
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],
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"solutionAreas": [
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"Cloud & AI Platforms"
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],
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"stability": "Live",
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"key": [
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"real-time-intel-for-ops"
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],
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"accelerator": "Real-Time Intelligence for Operations",
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"featured": false,
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"programmingLanguages": [
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"Python",
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"KQL",
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"PowerShell",
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"Bicep"
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],
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"excerpt": "Harness Real-Time Intelligence on the unified data foundation with Microsoft Fabric to minimize downtime, maximize asset productivity, and optimize operations.",
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"productsAndServices": [
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"Microsoft Fabric",
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"OneLake",
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"Real-Time Intelligence",
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"Fabric Data Agent",
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"Eventstream in Microsoft Fabric",
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"Eventhouse in Microsoft Fabric",
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"Azure Event Hubs",
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"Fabric Activator"
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],
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"githubUrl": "https://aka.ms/RTIOps",
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"assets": [
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{
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"label": "Walkthrough",
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"href": "https://aka.ms/RTIOps_Overview",
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"fileType": "pptx"
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}
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],
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"technicalPattern": "Unify your Data",
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"foundryTemplateName": "",
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"useCases": [
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"Manufacturing",
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"Operations",
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"Data Agents",
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"AI",
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"Analytics",
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"Real-Time Intelligence"
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],
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"keywords": [
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"AI",
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"Real-Time Intelligence",
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"Microsoft Fabric",
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"OneLake",
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"analytics",
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"enterprise data",
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"data agent",
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"agentic AI",
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"kql",
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"azd template",
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"Eventstream in Microsoft Fabric",
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"Eventhouse in Microsoft Fabric",
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"Fabric Activator",
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"Azure Event Hubs",
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"operational data",
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"real-time simulator"
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],
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"industries": [
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"Industrials and Manufacturing"
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],
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"releaseDate": "2025-12-10",
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"updatedDate": "2025-12-10"
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},
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{
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"solutionPlays": [
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"Unify your data platform"

‎package-lock.json‎

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