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From Chatbots to Autonomous Agents: Building an Always-On Risk Platform
The article discusses the evolution of generative AI towards fully autonomous systems capable of continuous decision-making without human prompts. It highlights an autonomous risk platform utilizing Azure technologies to evaluate contracts and market conditions, facilitate event-driven workflows, and ensure observability. The architecture emphasizes clear separation of execution, reasoning, and state for scalable, governed autonomy. Read more
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Deploying MCP Servers with Azure Container Apps
In this article, we explore how to deploy and run multiple Model Context Protocol (MCP) servers using Azure Container Apps. We’ll demonstrate how to enable… Read more
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The Perfect AI Team: Azure Cosmos DB and Azure App Service
AI advancements are impressive, and their true impact emerges when seamlessly integrated into business processes. Azure Cosmos DB and Azure App Service create the perfect… Read more
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Chat History with Azure Cosmos DB and Semantic Kernel
In conversational AI, maintaining chat history across sessions and devices is key to delivering seamless user experiences. This article explores how Azure Cosmos DB, in… Read more
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Enhance Customer Support with Semantic Kernel and Azure OpenAI
This article explores an Azure OpenAI RAG Customer Support Solution built with .NET, Semantic Kernel, Azure AI Search, Cosmos DB, and Bicep for simplified resource… Read more
Curated Materials
Issue 1 – June 2024
This guide provides essential tips and best practices for managing and optimizing partitioning in Azure Cosmos DB.
Guided Journey – July 2024
Azure Machine Learning
This guide provides a comprehensive walkthrough for using Azure Machine
Learning to build a classification model based on risk data pulled from Azure.
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