How to use AI with Microsoft Azure for your business

🤖#Agentic #AI is here—and it's transforming #enterprise #automation. #Microsoft’s new #Agent #Factory #blog series authored by Yina Arenas, is a must-read for anyone building the future of intelligent systems. From #design #patterns to #developer }tools, it’s packed with insights on how to move beyond #chatbots and #copilots to #agents that reason, act, and collaborate. 🔍 Whether you're exploring use cases, scaling prototypes to production, or ensuring observability and governance, this six-part series offers practical guidance and real-world examples. 💡 Highlights include: - Tool use and reflection patterns for reliable automation - Rapid agent development with Azure AI Foundry - Best practices for agent observability - #Open #standards like #MCP and #A2A for #agent #interoperability 📚 Dive into the series here: https://lnkd.in/eCue9pkp #AgenticAI #AzureAI #AgentFactory #EnterpriseAutomation #AIInnovation #MicrosoftAzure

Supercharge your workflow with real-time information from the Microsoft Learn MCP Server. Stay focused and on track by connecting your AI agents directly to trusted Microsoft documentation. With the shift toward more AI-powered workplaces, developers and IT teams are spending less time searching the web and more time relying on AI tools and agents for help. But AI is only as good as the knowledge it can access—and even the most advanced AI models are working with information that has knowledge cutoffs, meaning their resources can be months out of date. Outdated or incomplete information can lead to errors, inefficiencies, and... #techcommunity #azure #microsoft https://lnkd.in/gr6CVANj

🤖Agentic AI is here—and it's transforming enterprise automation. Microsoft’s new Agent Factory blog series authored by Yina Arenas, is a must-read for anyone building the future of intelligent systems. From design patterns to developer tools, it’s packed with insights on how to move beyond chatbots and copilots to agents that reason, act, and collaborate. 🔍 Whether you're exploring use cases, scaling prototypes to production, or ensuring observability and governance, this six-part series offers practical guidance and real-world examples. 💡 Highlights include: - Tool use and reflection patterns for reliable automation - Rapid agent development with Azure AI Foundry - Best practices for agent observability - Open standards like MCP and A2A for agent interoperability 📚 Dive into the series here: https://lnkd.in/eCue9pkp #AgenticAI #AzureAI #AgentFactory #EnterpriseAutomation #AIInnovation #MicrosoftAzure

Microsoft has launched Azure Percept, a platform for simplified development & deployment of edge AI hardware solutions. Action Tip: Embed edge AI in your business processes for real-time data analysis and decision making.

🚀 Just read Part 5 of the Agent Factory series: Connecting agents, apps, and data with new open standards like MCP and A2A. 🛠️ This post dives into how interoperability—powered by protocols like Model Context Protocol (MCP) and Agent2Agent (A2A)—is transforming agentic AI from isolated prototypes into enterprise-ready ecosystems. From seamless integration across platforms like Microsoft 365 and ServiceNow to unified observability and governance, Azure AI Foundry is laying the groundwork for scalable, connected AI. 🤖 If you're building agents that need to collaborate, act across systems, and scale safely—this is a must-read. 🔗 https://lnkd.in/eCJvRnmN #AgenticAI #AzureAI #MCP #A2A #AIIntegration #OpenStandards #EnterpriseAI #SemanticKernel #LangGraph #CrewAI #AutoGen #AIObservability #AITrust

🚀 Game-changer: Azure AI Foundry now supports Model Context Protocol (MCP)! Microsoft has just solved one of the biggest challenges in enterprise AI. With the new MCP support in Azure AI Foundry Agent Service, we can finally bridge the gap between AI agents and our existing applications without complex, custom code. MCP acts as a universal translator, allowing agents to interact with any app, API, or data source through a single, open standard. In my conversations with enterprise customers across EMEA, integration complexity is consistently the #1 blocker to scaling AI. This update is the answer. It allows us to connect intelligent agents to legacy systems, CRMs, and internal tools that were previously out of reach. We're moving from isolated AI models to a truly connected ecosystem where agents can do things across the business. The best part? You can get started in minutes with Microsoft's sample implementations and a simple azd up. Key takeaways: ✅ Universal Integration: Connect AI to any system—even legacy apps without modern APIs—using a standardized protocol. ✅ Zero-Code Connection: Drastically reduce development time by enabling agents to connect to apps on App Service without custom code. ✅ Accelerated Innovation: Rapidly prototype and deploy intelligent workflows, instantly adding AI capabilities to your existing tech stack. What's the first business process you would automate with this new capability? #Microsoft #AzureAI #AIFoundry #MCP #AppService #DigitalTransformation #AIAgents #AppInnovation #EnterpriseAI

Why the Future of Business Automation Belongs to Small Models (SLMs) In the race for ever-bigger LLMs, it’s easy to forget a simple truth: businesses don’t need a universal “giant brain” — they need precise tools for specific tasks. 👉 Small Language Models (SLMs) are better suited for automation because they are: • ⚡ Faster & cheaper — critical for SMBs. • 🔒 More secure — can run locally without sending data to the cloud. • 🧩 Modular — each model handles a dedicated task, from analyzing cash registers to forecasting cash flow. • 📱 More accessible — able to run on office computers or even mobile devices. 💡 The future of business automation won’t be “one mega-model,” but an ecosystem of small models working together. This is exactly the approach we’re building into AIditor: a core analytics engine powered by a set of specialized AI agents for different business functions. #AI #BusinessAutomation #SLM #SmallLanguageModels #AIAudit #SMB #IntelligentAutomation #EdgeAI #FutureOfWork #ArtificialIntelligence

Microsoft Just Made Building AI Agents Easier If you’ve been exploring AI agents but struggling to take them from prototype to production - this one’s for you. Microsoft just introduced Agent Factory, a powerful new toolkit that lets you design, evaluate, and deploy AI agents in real-world applications using the Azure ecosystem. - What makes it different? - Modular: Works with OSS tools like AutoGen - Composable: Easily chain tools, prompts, APIs - Integrated: Native with Azure AI Studio & Prompt Flow - Evaluated: Comes with built-in tracing & observability Use cases range from internal copilots to external-facing AI workflows - all with a production mindset. - Agent Factory isn’t just for demos - it’s designed to ship. - If you're building AI copilots or looking to connect LLMs with real-world APIs and logic, this is a great time to explore. - Read the official announcement: https://lnkd.in/euvTCjG4 #AzureAI #MicrosoftAI #AgentFactory #Copilot #AIEngineering #PromptFlow #AutoGen #OpenSourceAI #AIinProduction

🚀 From Prototype to Production: Building an AI Platform on Azure ✍️ by Abhishek Kumar | #FirstCrazyDeveloper Most AI projects stop at the “cool demo” stage. But in the enterprise world, a demo isn’t enough. What you need is a production-grade AI platform that’s: ✅ Scalable ✅ Secure ✅ Reliable ✅ Observable In my latest blog, I share how I built an end-to-end AI platform on Microsoft Azure, powered by: 🔹 Azure App Service for zero-downtime scaling 🔹 Azure Key Vault for bulletproof security 🔹 Azure OpenAI with a multi-agent design (LangGraphAgent, EchoAgent, RAGAgent) 🔹 CI/CD pipelines with blue-green deployments 🔹 Application Insights & Monitoring for resilience 🎯 Real-world example included: building a Customer Support AI Assistant that delivers 99.9% uptime, sub-2s response times, and scales to 1000+ requests/min. 👉 Read the full blog here: https://lnkd.in/gXMtPxKR 💡 Abhishek’s Take: In enterprise AI, a POC may impress — but a production-ready platform builds trust. #AI #Azure #CloudComputing #DevOps #GenerativeAI #EnterpriseAI #FirstCrazyDeveloper #AbhishekKumar

🚀 From Prototype to Production: Building an AI Platform on Azure ✍️ by Abhishek Kumar | #FirstCrazyDeveloper Most AI projects stop at the “cool demo” stage. But in the enterprise world, a demo isn’t enough. What you need is a production-grade AI platform that’s: ✅ Scalable ✅ Secure ✅ Reliable ✅ Observable In my latest blog, I share how I built an end-to-end AI platform on Microsoft Azure, powered by: 🔹 Azure App Service for zero-downtime scaling 🔹 Azure Key Vault for bulletproof security 🔹 Azure OpenAI with a multi-agent design (LangGraphAgent, EchoAgent, RAGAgent) 🔹 CI/CD pipelines with blue-green deployments 🔹 Application Insights & Monitoring for resilience 🎯 Real-world example included: building a Customer Support AI Assistant that delivers 99.9% uptime, sub-2s response times, and scales to 1000+ requests/min. 👉 Read the full blog here: https://lnkd.in/gXMtPxKR 💡 Abhishek’s Take: In enterprise AI, a POC may impress — but a production-ready platform builds trust. #AI #Azure #CloudComputing #DevOps #GenerativeAI #EnterpriseAI #FirstCrazyDeveloper #AbhishekKumar