2025 Azure Updates for Technology Professionals

AI is moving fast... But not every innovation fits every business. Leaders are trying to cut through the noise and figure out what’s actionable, not just interesting.     At Microsoft Build, several updates stood out to me for their relevance to small and medium enterprises:    ▪️ Multi-agent orchestration in Copilot Studio will enable agents to combine skills, exchange data, distribute work, and collaborate on complex tasks.    ▪️ Azure AI Foundry Agent Service gives businesses a simpler way to build AI agents that automate processes, from customer support to internal workflows, without stitching together multiple tools.    ▪️ SQL Server 2025 introduces vector database capabilities, built-in filtering, and integration with frameworks like LangChain and Semantic Kernel. That means businesses can easily work with their data, whether it's stored locally or in the cloud.    ▪️ Developers can now manage AI agent access with Entra Agent ID, apply data security and compliance controls through Microsoft Purview, and get real-time risk alerts from Microsoft Defender. All these tools advance protection and are integrated directly into Azure AI Foundry and Copilot Studio.    These aren’t just technical updates. They reflect a broader shift toward AI tools that are accessible, affordable, and adaptable for small and medium enterprises and partners.    Which feels most useful for your business right now? I’d love to hear if any standout to you. ⬇️

Microsoft Build 2025: The Agentic AI Revolution Marches Onward 🚀 At Microsoft Build 2025, CEO Satya Nadella advanced the company's vision for an "open, agentic web" with over 50 new AI tools and platforms that address the #1 challenge facing enterprises today: moving from AI proof-of-concepts to production-ready solutions. The Enterprise Reality Check 80% of organizations struggle with AI deployment due to technical skills gaps and change management challenges. Microsoft's AI platform tools target many of these challenges. Key Breakthroughs Announced: 🏗️ Azure AI Foundry Agent Service - Now generally available with access to 11,000+ models, built-in observability, and centralized governance. Real results: Accenture achieved 30% efficiency gains and 50% faster AI development. 💻 GitHub Copilot Evolution - From code suggestions to autonomous coding agents handling end-to-end programming tasks. Ramp is already saving 30,000 hours monthly. 🔗 Model Context Protocol Integration - Avoiding vendor lock-in while enabling sophisticated cross-platform integrations with Adobe, ServiceNow, and SAP. 🏥 Mission-Critical Applications - Stanford Medicine is transforming cancer care across 4,000 tumor board meetings annually, while the NFL revolutionized scouting operations with instant player analysis. The Bottom Line We're witnessing the shift from AI as a tool to AI as a semi to fully autonomous team member. Organizations that master agentic AI deployment now will gain substantial competitive advantages in efficiency, innovation speed, and operational capability. The foundation for safe, effective enterprise AI is solidifying. The question isn't whether agentic AI is coming—it's whether your organization will lead or follow. #AI #Microsoft #MSBuild #AzureAI #EnterpriseAI #DigitalTransformation #GitHub #Copilot #TechLeadership #Innovation

I shipped an enterprise AI system last quarter that uses rules, ML, LLMs, and agents in the same request path. Four generations of AI. One pipeline. 9 layers every Azure architect needs in 2026. 👇 𝗥𝘂𝗹𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝘀 (𝘀𝘁𝗶𝗹𝗹 𝗮𝗹𝗶𝘃𝗲) ↳ Azure Logic Apps for deterministic compliance flows, because auditors need traceable if-then paths ↳ Durable Functions for state machine workflows that must never hallucinate ↳ Dataverse business rules for policy logic that changes weekly without redeploys 𝗖𝗹𝗮𝘀𝘀𝗶𝗰𝗮𝗹 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 ↳ Azure ML AutoML for tabular fraud scoring at sub-50ms latency ↳ MLflow on Azure for experiment tracking across hundreds of model versions ↳ Synapse with Spark MLlib for feature engineering on petabyte datasets ↳ Batch endpoints for nightly churn and propensity jobs 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 ↳ ND-series GPU VMs for custom vision and time series training ↳ ONNX Runtime for portable inference across edge and cloud ↳ Azure AI Vision for OCR and layout that LLMs still struggle with 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹𝘀 ↳ Azure OpenAI GPT-4o for multimodal reasoning behind a private endpoint ↳ Phi-3 on Foundry for cost-aware routing of simple intents ↳ Mistral and Llama via Models-as-a-Service for license flexibility ↳ Provisioned Throughput Units for predictable p99 latency in production 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 𝗟𝗮𝘆𝗲𝗿 ↳ Azure AI Search with hybrid vector and BM25 for grounded answers ↳ Cosmos DB with integrated vector index for low-latency RAG at scale ↳ Document Intelligence for chunking complex PDFs before embedding ↳ Semantic ranker for reordering top-k results by query intent 𝗔𝗱𝗮𝗽𝘁𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗧𝘂𝗻𝗶𝗻𝗴 ↳ Foundry fine-tuning for domain vocabulary and brand tone ↳ LoRA adapters for cheap per-tenant personalization ↳ Prompt Flow for versioned prompt experiments with eval gates 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 ↳ Foundry Agent Service for tool-calling with managed memory and threads ↳ Semantic Kernel for planner and skill composition in .NET and Python ↳ AutoGen for multi-agent debate and self-correction loops ↳ Logic Apps connectors as tool surfaces across 1000+ SaaS systems 𝗚𝘂𝗮𝗿𝗱𝗿𝗮𝗶𝗹𝘀 𝗮𝗻𝗱 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 ↳ Azure AI Content Safety for prompt injection and jailbreak detection ↳ Purview for lineage across data, prompts, and model outputs ↳ Entra ID on-behalf-of flows so agents inherit user permissions 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 ↳ App Insights with OpenTelemetry for token, cost, and latency traces ↳ Foundry evaluations for groundedness and coherence scoring in CI ↳ Azure Monitor alerts on drift, hallucination rate, and tool failures The difference between a demo and a production AI system? Knowing that rules, ML, LLMs, and agents are layers, not competitors. Which layer is your team underinvesting in? Repost for your AI architects. #AzureAI #AIFoundry #AgenticAI #MachineLearning #LLM #CloudArchitecture #Microsoft

🚀 Top 10 Azure AI Foundry Announcements from Microsoft Build 2025 Satya's keynote emphasized a powerful theme: the rise of the agentic web is reshaping the tech stack. Microsoft is uniquely positioned to empower developers at every layer—code, collaboration, and cloud—through a unified, AI-native platform. 🧠 1. Foundry as the Platform of Choice Azure AI Foundry now supports a broader range of models including Grok 3 (xAI), Sora (coming soon in preview), and 10K+ open-source models. 🎯 2. Smart Model Routing Choosing the right model for a task is now automated. The Model Router intelligently selects the best Azure OpenAI model for your prompt, optimizing for both quality and cost. All models will be accessible via a unified API and MCP, streamlining the path from prototype to production. 🤖 3. AI Foundry Agent Service (Now GA) This fully managed agent service abstracts away infrastructure and orchestration. It includes: Prebuilt templates and actions, Connectors to over 1,400 enterprise data sources to Easy integration into daily tools like Microsoft 365 This dramatically accelerates the development of context-aware agents. 🧩 4. Multi-Agent Orchestration Azure AI Foundry now supports connected agents that can call each other as tools, enabling collaborative problem-solving. New orchestration features include: Stateful workflows to manage context and long-running processes Agent-to-Agent (A2A) communication standards MCP for consistent context sharing Ideal for complex enterprise scenarios like financial approvals or supply chain coordination. 🔍 5. Agentic Retrieval in Azure AI Search A new multi-turn query engine enhances Azure AI Search by: Breaking down complex questions into sub-queries and Running parallel searches Early tests show up to 40% improvement in relevance for multi-part queries. 📊 6. Agent Observability (Preview) To ensure reliability in production, Foundry now includes: Built-in metrics (latency, throughput, usage, quality) Trace logs of agent reasoning and tool usage End-to-end diagnostics for debugging and performance tuning 🛡️ 7. Secure Agents with Microsoft Entra Agent ID Agents now get first-class identities, just like human users. ✅ 8. Trustworthy AI by Design New features to ensure responsible AI include: Agent Evaluators that validate intent alignment and tool usage AI Red Teaming Agent that stress-tests agents for bias and vulnerabilities 🏭 9. Foundry Local: AI Anywhere Foundry Local is a new runtime for Windows and Mac that enables: Offline AI model and agent execution Local data processing for privacy-sensitive scenarios Reduced bandwidth usage 🧪 10. Foundry Labs: We’re exploring the next frontiers with Microsoft Research in our Foundry Labs - example, Project Amelie is an experimental agent that can: Build full ML pipelines from a single prompt Link below with details ***************************************************** Ranjani Mani #reviewswithranjani #Technology | #Books | #BeingBetter

Just wrapped up going through sessions from Day 1 of Microsoft Build 2025 📖 The updates coming to Microsoft Azure are set to fundamentally change how we build and deploy AI applications and manage data. Here are some of the standout AI capabilities announced for Azure services: ✅ Azure AI Foundry Agent Service is now generally available3, empowering pro developers to design, deploy, and scale enterprise-grade AI agents for process automation, with support for multi-agent workflows and open protocols like A2A and MCP. ✅ New models joining Azure AI Foundry Models include Grok 3 from xAI (available today) and Sora (coming soon in preview) via Azure OpenAI2. Plus, a new Model Router (preview) will automatically select the best OpenAI model for prompts to optimize quality and cost. ✅ Azure AI Foundry Observability features (preview) provide built-in monitoring for AI agents, offering deep insights into performance, quality, safety, and cost with detailed tracing. ✅ The Agentic retrieval engine in Azure AI Search (preview) offers a premium, dynamic query engine specifically designed for agents to connect to institutional knowledge, analyzing and executing retrieval strategies with Azure OpenAI. ✅ Azure AI Foundry Local (preview) brings the power of open-source models from Azure AI Foundry directly to Windows 11 and MacOS for fast, on-device AI development. ✅ Seamless integration of Azure Cosmos DB with Azure AI Foundry allows using Cosmos DB accounts to power AI solutions, with Threads storage for agent conversation history now generally available. ✅ Microsoft Defender for Cloud integration (preview) in Azure AI Foundry provides AI security posture and runtime threat protection insights directly within the developer workflow. These advancements, alongside enhancements like "Chat with your data" expansions and the PostgreSQL extension for VS Code with GitHub Copilot capabilities, highlight Microsoft's focus on providing developers and businesses with the tools needed to leverage AI securely and efficiently. What Azure AI announcement are you most excited about? Let me know in the comments! 👇 #Considercloudwithderek #Cloudfamily #MicrosoftBuild #Azure #AI #GenerativeAI #Developers #AIagents #AzureAIFoundry #Copilot #Microsoft365

Here’s your monthly digest of What’s New in Azure AI Foundry for August 2025 👇 🧠 Models - GPT-5 Family lands in Foundry - Model Router adds GPT-5 support - New multimodal drops: FLUX.1 Kontext [pro], FLUX1.1 [pro], + Sora API updates - Mistral Document AI (OCR) - VibeVoice TTS (coming soon) - OpenAI gpt-oss 🤖 Agents & Tools - Agent Service expands to 17 regions - Browser Automation Tool (Preview) 🛠 SDKs - Python: Agents 1.2.0 beta adds async tools & evals - .NET: tracing + streaming - Java: Agent SDK preview - JS/TS: new MCP & Deep Research features 🌐 Platform - New status dashboard (preview) - Updated quotas for GPT-5 & Model Router - Expanded tutorials (enterprise chat, evals, Terraform, CMK clarity) ✅ We’re pushing to make #AzureAIFoundry the most open and interoperable platform for building agents and apps with frontier models. 📖 Full August recap here: https://lnkd.in/g7c5vjNF

𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗕𝘂𝗶𝗹𝗱 𝟮𝟬𝟮𝟱 𝗷𝘂𝘀𝘁 𝗿𝗲𝗱𝗲𝗳𝗶𝗻𝗲𝗱 𝘁𝗵𝗲 𝗔𝗜 𝗮𝗽𝗽 𝘀𝘁𝗮𝗰𝗸. 𝗛𝗲𝗿𝗲’𝘀 𝘄𝗵𝗮𝘁 𝗿𝗲𝗮𝗹 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗹𝗼𝗼𝗸𝘀 𝗹𝗶𝗸𝗲: 𝗧𝗟;𝗗𝗥: Microsoft is building the open Agentic Web where AI agents are as integral as apps, with full-stack support from GitHub to Azure, Windows to M365. If you missed the keynote, here’s your supercut 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗕𝘂𝗶𝗹𝗱 𝟮𝟬𝟮𝟱 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: 2:13 GitHub Copilot Agents now do full coding tasks autonomously 4:45 𝗦𝗥𝗘 𝗔𝗴𝗲𝗻𝘁 – Autonomous live site issue handler 7:23 GitHub Copilot becomes a peer programmer, not just a pair 10:57 OpenAI’s Sam Altman joins to discuss Codex & agent evolution 16:05 Microsoft 365 Copilot gets its biggest update yet: • Chat, Search, Notebooks, Create, and Agents all in one • Agents like Researcher and Analyst with enterprise grounding 20:59 Copilot Studio adds multi-agent orchestration + agent store 21:25 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 𝗧𝘂𝗻𝗶𝗻𝗴 – Fine-tune models on your company’s tone & data 29:50 𝗔𝘇𝘂𝗿𝗲 𝗔𝗜 𝗙𝗼𝘂𝗻𝗱𝗿𝘆 – Full agent app platform. Multi-model, multi-agent app server. 1,900+ models incl. OpenAI, Mistral, Llama 36:55 𝗚𝗿𝗼𝗸 𝟯.𝟱 𝗯𝘆 𝗫.𝗔𝗜 comes to Azure – Elon Musk joins to discuss 41:10 Foundry now supports provisioned throughput across models 42:53 𝗙𝗼𝘂𝗻𝗱𝗿𝘆 𝗔𝗴𝗲𝗻𝘁 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 – GA for declarative multi-agent workflows 45:15 Foundry ↔ Copilot Studio integration now seamless 46:12 Stanford Medicine demo – AI agents run tumor board meetings 49:04 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝘁𝗼𝗼𝗹𝘀 – Monitor AI app performance, cost & safety 50:15 𝗘𝗻𝘁𝗿𝗮 𝗜𝗗 for Agents – Identity + policy for AI agents 51:03 𝗣𝘂𝗿𝘃𝗶𝗲𝘄 + 𝗗𝗲𝗳𝗲𝗻𝗱𝗲𝗿 integrate with Foundry 54:00 GitHub Copilot Agent Mode – Visual agent IDE with vision support 59:53 VS Code + Copilot completes 3 issues live in minutes 1:01:12 𝗙𝗼𝘂𝗻𝗱𝗿𝘆 𝗟𝗼𝗰𝗮𝗹 + 𝗪𝗶𝗻𝗱𝗼𝘄𝘀 𝗔𝗜 𝗙𝗼𝘂𝗻𝗱𝗿𝘆 – Local dev stack for agents 1:12:01 𝗪𝗦𝗟 now fully open source 🎉 1:16:00 𝗧𝘆𝗽𝗲𝗔𝗴𝗲𝗻𝘁 – Open-source long-term agent memory 1:20:00 𝗠𝗖𝗣 – Model-Context Protocol becomes standard for AI actions 1:22:00 𝗡𝗟𝗪𝗲𝗯 – Like HTML, but for agents. Turn any site into an AI app 1:30:00 𝗖𝗼𝘀𝗺𝗼𝘀𝗗𝗕 + 𝗙𝗮𝗯𝗿𝗶𝗰 – Unified data stack for AI agents 1:35:00 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 𝗶𝗻 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 – Chat with your dashboards 1:36:00 𝗜𝗻𝗳𝗿𝗮 – Azure debuts GB200 racks @ 865k tokens/sec 1:37:00 Jensen Huang joins to talk about tokens per watt per $ 1:46:00 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 – AI agent stack for science • Graph RAG + simulation + candidate generation • Discovered a PFAS-free coolant in demo! This is Microsoft's full-stack AI play. From reasoning models to app servers, orchestration, and deployment across developer tools, enterprise workflows, science, and even Windows. Watch the full keynote here: https://lnkd.in/g_wvV5wq #microsoftbuild2025

#AzureTips Windows Server 2025 is generally available with enhanced security, AI performance, and hybrid cloud capabilities. Learn how to optimize AI costs with Azure OpenAI pricing options, and discover new features in Microsoft Cost Management to optimize cloud spending. Plus, modernize .NET web apps using Azure services for scalable microservices, and automate retention period configurations for Log Analytics workspace tables. Dive into these updates here! ✅ Windows Server 2025 now generally available Windows Server 2025 offers enhanced security, hybrid cloud capabilities, AI performance, and scalability features, including Active Directory improvements, hotpatching via Azure Arc, and significant Hyper-V updates, making it ideal for modern, flexible IT infrastructure https://lnkd.in/g47afabD ✅ Configuring total retention period for log analytics workspace tables at scale The blog outlines an automated method using a PowerShell script to set total retention periods for multiple tables in a Log Analytics workspace, simplifying the process compared to manual configuration https://lnkd.in/gzC-_TYK ✅ Microsoft Cost Management updates Microsoft Cost Management helps organizations control and optimize their cloud spending through cost analysis, monitoring tools like scheduled emails and budget alerts, and cost optimization strategies such as provisioned reservations for Azure OpenAI Service and other Azure services https://lnkd.in/g67ayms8 ✅ Introducing the modern web app pattern for .NET The Modern Web App pattern for .NET provides a guide for modernizing monolithic web applications by decoupling critical components into microservices, leveraging Azure services for independent scaling, security, and cloud-native agility https://lnkd.in/gZPK5s36 ✅ Optimize AI costs by choosing the right Azure OpenAI pricing offer for you Azure OpenAI Service provides two primary pricing options: Standard (pay-per-token) for flexible workloads and Provisioned Throughput Units (PTUs) for consistent, high-performance needs, enabling businesses to align their choice with specific usage patterns and budget objectives https://lnkd.in/gpeh5V3X 🔽 Image Source: https://lnkd.in/gZPK5s36 🔄 Found this post useful? Repost and share the knowledge! Follow for more insights into the world of #Azure, #CloudComputing, and more. Let’s grow together!

🚨 MSOnline PowerShell and Azure AD is retiring, are you ready? (Here's what you need to know for the transition.) Microsoft will be conducting temporary outage tests will during January–March 2025 and highly encourage users to migrate to Microsoft Graph PowerShell SDK or Microsoft Entra PowerShell (preview). 🔑 Dates to Remember: MSOnline PowerShell: Support ends: March 30, 2025 Temporary outage tests: January–March 2025 Full retirement: April–May 2025 AzureAD PowerShell: Support ends: March 30, 2025 Retirement: After July 1, 2025 Steps to Stay Ahead ☑️: 1️⃣ Audit your usage: Use Microsoft Entra Admin Center sign-in logs to identify MSOnline and AzureAD PowerShell dependencies. 2️⃣ Prioritize migration: Focus on MSOnline first, then AzureAD PowerShell. 3️⃣ Test and prepare: Use outage simulations to ensure business continuity. Helpful Resources: Graph Powershell: https://lnkd.in/eJjhwDph Entra Powershell: https://lnkd.in/eJ43r7ah Source: https://lnkd.in/euiSB8wQ

🚀 Microsoft Ignite remains the place where the next few years of enterprise tech are sketched out. The 2025 edition has made one thing clear: we’re moving from “playing with Copilot” to designing AI agent platforms as part of core architecture. 🎖️ As a Regional Director, it was a nice personal moment to see my name on the MVP/RD wall again. Thanks Adnan Hendricks for the photos, and Microsoft for the recognition. From an AI lens, here is what stands out for me 👇 𝟭. 𝗔𝗴𝗲𝗻𝘁 𝟯𝟲𝟱 🛡️ A real control plane for AI agents. Entra Agent ID, central registry, conditional access, and tight integration with Defender/Purview. Agents now have identity, policy, and lifecycle. 𝟮. 𝗧𝗵𝗲 𝗜𝗤 𝗦𝘁𝗮𝗰𝗸 🧠 (Work IQ, Fabric IQ, Foundry IQ) — A shared context fabric. This gives agents a managed retrieval and reasoning layer across SharePoint, Fabric, Azure data, and the web with permissions intact. 𝟯. 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗼𝘂𝗻𝗱𝗿𝘆 & 𝗔𝗴𝗲𝗻𝘁 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 ⚙️ A production-grade home for agents. Hosted runtimes, autoscaling, memory, and a catalog of MCP tools that expose Logic Apps, custom APIs, and prebuilt AI services. 𝟰. 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 + 𝗔𝗴𝗲𝗻𝘁𝘀 𝗶𝗻 𝗠𝟯𝟲𝟱 🖇️ Workflow automation embedded in Word/Excel/PowerPoint/Teams. Agents can now talk to Jira/GitHub/Asana via MCP, powered by Work IQ. 𝟱. 𝗗𝗮𝘁𝗮 & 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 🔐 SQL Server 2025 mirroring into OneLake, Azure DocumentDB for vector search, and Purview/Defender extensions that bring DLP and observability to agents themselves. Really enjoyed the keynotes and sessions from Judson Althoff, Scott Guthrie, Ralph Haupter, Charles Lamanna, Nick Parker, Ryan Roslansky and Asha Sharma, Scott Hanselman, Mark Russinovich, Yina Arenas and others - each bringing a different lens on cloud, AI, business apps, partners and the future of work. 🗓️ For leaders planning a 2025/26 roadmap, I’d focus on: 🔹 Defining an “agent workforce” model and enforcing it via Agent 365 + Entra Agent ID 🔹 Standing up the context fabric with Fabric IQ, metadata, and Purview 🔹 Modernising the data estate so agents can act on fresh, trustworthy signals 💬 If you’re already experimenting with agents or mapping where Agent 365, IQ Stack, or Foundry fit in your environment, I’d love to compare notes. #MSIgnite #MicrosoftIgnite #AI #AgenticAI #Copilot #Microsoft365 #Azure #MicrosoftRegionalDirector Betsy Weber #MVPBuzz #RDBuzz Bharath Krishnaswamy Tim Bauer Ricardo Jimenez UST