How to Build the Right RAG Systems with Azure AI

𝗬𝗼𝘂’𝘃𝗲 𝗯𝗲𝗲𝗻 𝘂𝘀𝗶𝗻𝗴 𝗔𝗜 𝗮𝗹𝗹 𝘄𝗿𝗼𝗻𝗴. Well it’s not your fault - because it just wasn’t there, where you needed it the most! Until now…… And guess what - 𝗠𝗦 𝗔𝘇𝘂𝗿𝗲 𝗷𝘂𝘀𝘁 𝗰𝗵𝗮𝗻𝗴𝗲𝗱 𝘁𝗵𝗲 𝗴𝗮𝗺𝗲! 𝗬𝗼𝘂 𝗰𝗮𝗻 𝗻𝗼𝘄 𝘂𝘀𝗲 𝗽𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗔𝗜 𝘄𝗶𝘁𝗵𝗶𝗻 𝘆𝗼𝘂𝗿 𝗲𝘅𝗶𝘀𝘁𝗶𝗻𝗴 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝘀𝘁𝗮𝗰𝗸. No extra tools. No messy integrations. Just action. You can now -  • Predict demand  • Automate workflows  • Build smarter apps faster   ...all with the data you already have. 𝗕𝘂𝘁 𝗻𝗼𝘁 𝗺𝗮𝗻𝘆 𝗮𝗿𝗲 𝘂𝘀𝗶𝗻𝗴 𝗶𝘁 𝘁𝗼 𝗶𝘁𝘀 𝗳𝘂𝗹𝗹 𝗽𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹.... Don’t be one of them! Swipe - and get to know why you need to harness every bit of what Azure with AI has to offer. #AzureAI #CloudComputing #DigitalTransformation #MicrosoftAzure #CCIT

Cloudflare illustrates how enterprises can assemble AI services using modular components. Instead of deploying a single monolithic system, AI is designed from interoperable APIs, workflows, and orchestration layers that can be combined depending on business needs. This mirrors what we already see in enterprise architecture. Modularity and composability bring agility. For AI, it means: ➡️ Models can be swapped or retrained without disrupting the system ➡️ Workflows connect specialised services into complete solutions ➡️ Security, governance, and observability are built in from the start The value is clear. AI becomes an architecture that enterprises can extend, adapt, and secure, rather than a single black box. Composable AI is how organisations move from experiments to scalable, production ready systems. Image by: https://lnkd.in/eB_CeMba #ComposableAI #AIArchitecture #EnterpriseAI #SolutionArchitecture #CloudArchitecture

A new badge has landed today - #AgenticAI #Solution #Architecture issued by Microsoft Global Partner Solutions (GPS). This comprehensive learning event covered several key modules aimed at helping participants master essential AI concepts, enhance their organisation's AI capabilities, and confidently architect, deploy, and scale sophisticated AI agent solutions. The workshop included the following topics: 1️⃣ Showcasing Al Potential with #AgenticAl 2️⃣ Architecting Success with #MultiAgent AI Systems 3️⃣ Multi-Agent AI: Advanced #Agent Dev in Azure #AIFoundry  4️⃣ #Enterprise Grade: #Optimisation and production at scale. Innovate with Azure AI Platform, through hands-on labs focused on Architecting Success with #MultiAgent AI Systems, followed by the successful completion of the Solution Architecture Assessment. https://lnkd.in/euTfVvwc

✔ Companies unifying data see 379% ROI over three years ✔ Embedding analytics drives 85% higher sales growth and 25% greater margins The solution? A single, governed, AI-ready data foundation. Microsoft Fabric unifies data engineering, analytics, BI, governance, and AI. At DataArt, we see it as the strategic foundation to unlock the real value of enterprise data. 👉 Read the full article by Constantin Taivan, Solutions Architect: https://lnkd.in/dVeqK4yC #MicrosoftPartner #MicrosoftSolutionsPartne #AzureCloud #MicrosoftFabric #datatransformation #AI #MicrosoftAICloudPartnerProgram

✔ Companies unifying data see 379% ROI over three years ✔ Embedding analytics drives 85% higher sales growth and 25% greater margins The solution? A single, governed, AI-ready data foundation. Microsoft Fabric unifies data engineering, analytics, BI, governance, and AI. At DataArt, we see it as the strategic foundation to unlock the real value of enterprise data. 👉 Read the full article by Constantin Taivan, Solutions Architect: https://lnkd.in/dVeqK4yC #MicrosoftPartner #MicrosoftSolutionsPartne #AzureCloud #MicrosoftFabric #datatransformation #AI #MicrosoftAICloudPartnerProgram

Most churn is silent—tickets go quiet, then a cancellation lands. This post outlines CSAT Guardians: AI agents on Microsoft Power Platform that scan sentiment, wait time, SLA drift, and reopen patterns to flag risk early and trigger the right action—nudge, swarm, goodwill credit, callback, or knowledge push. The architecture pairs Dynamics 365 and Dataverse as the system of record with Power Automate plus Azure AI Language/Azure OpenAI for analysis and orchestration, all with human-in-the-loop guardrails. Expected impact: faster first response, fewer SLA breaches, higher CSAT/CES, and lower cost per case. A snapshot shows silent churn down 18%, CSAT +9 points, and a 42% faster FRT after 90 days. The post also offers a 30/60/90 blueprint, governance steps (PII redaction, approvals, audit logs), and KPIs to track. Explore the reference architecture and playbooks: https://lnkd.in/dzJ48NH6

𝗧𝗵𝗲 𝗲𝘅𝗰𝗶𝘁𝗶𝗻𝗴 𝗽𝗮𝗿𝘁 𝗮𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗠𝗼𝗱𝗲𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹 (𝗠𝗖𝗣) 𝗶𝘀𝗻’𝘁 𝗷𝘂𝘀𝘁 𝘁𝗵𝗲 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 - 𝗶𝘁’𝘀 𝘁𝗵𝗲 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆 𝗶𝘁 𝗼𝗽𝗲𝗻𝘀. For years, connecting AI systems to real-world tools meant custom code, brittle integrations, and endless maintenance. MCP changes that by giving us a universal way to connect AI to Slack, GitHub, Azure, Google Maps, and even local data, securely and at scale. 𝗧𝗵𝗶𝗻𝗸 𝗼𝗳 𝗶𝘁 𝗹𝗶𝗸𝗲 𝘁𝗵𝗲 𝗨𝗦𝗕-𝗖 𝗼𝗳 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀: ✅ One protocol, many connections ✅ Secure, structured, and reusable ✅ Equally effective with internal resources or external APIs At Dataoids, we’re not just watching this shift; we’re actively exploring and utilizing MCP to make our agentic AI systems more interoperable, enterprise-ready, and contextually powerful. This is how we move from siloed chatbots to connected, collaborative AI agents that can truly work alongside people. Curious to know where this can take enterprise AI? Let’s talk. #MCP #AgenticAI #AIIntegration #EnterpriseAI #Dataoids

The market for #MicrosoftFabric is evolving rapidly, bringing together data engineering, analytics, governance, and AI in a unified platform. What’s exciting is how Fabric is shaping the next wave of enterprise data strategy: - One foundation for data lakes, warehouses, and real-time analytics AI-driven insights built into workflows - Better governance and security for modern enterprises - For organizations, this means faster time-to-insight, simplified architectures, and a stronger data-driven culture. We are only at the beginning of this journey, but it’s clear, Microsoft Fabric is positioned to be a game-changer in the data & AI market.

🚀 Microsoft Azure AI Week – Day 4 Blogs Are Live! Today’s lineup dives deep into resilience, AI, and DevOps at scale – giving you the edge to architect smarter, safer, and more efficient solutions with Azure. 🔹 Azure Virtual Network Manager for Disaster Recovery by Chris Hailes Learn how to strengthen business continuity with network-level disaster recovery strategies. 🔹 Getting Started with Azure Machine Learning Service: A Comprehensive Guide for Data Scientists and Developers by Arindam Das Step into AI with a structured path to building and deploying ML models in Azure. 🔹 Building Scalable CI/CD Pipelines with Azure DevOps, Docker, and Private NPM Packages by Vakul Keshav Unlock automation best practices for modern development workflows. 🔹 Lock It Down: Protect Azure DevOps with Conditional Access by Rene Vlieger Secure your pipelines and repositories with robust identity-driven access control. 🔹 GPT-5 in Azure AI Foundry: A New Chapter for AI-Powered Applications by Luis Valencia Explore how GPT-5 is reshaping application innovation within Azure AI Foundry. 💡 Whether you’re a developer, architect, or IT pro, today’s insights deliver tactical strategies to elevate your Azure journey. 👉 Read all the blogs here: https://lnkd.in/eFTnVYnR #AzureAI #MicrosoftAzure #AIWeek #AzureDevOps #MachineLearning #GPT5

𝐀𝐈 𝐝𝐨𝐞𝐬𝐧’𝐭 𝐣𝐮𝐬𝐭 𝐧𝐞𝐞𝐝 𝐭𝐨 𝐛𝐞 𝐬𝐦𝐚𝐫𝐭, 𝐢𝐭 𝐧𝐞𝐞𝐝𝐬 𝐭𝐨 𝐛𝐞 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞. ⚡⁣ One of the biggest challenges with GenAI today isn’t the models themselves, but what happens when:⁣ o  A provider suddenly goes down⁣ o  Latency spikes during peak usage⁣ o  Costs spiral with every extra query⁣ ⁣ That’s where smart gateways come in. Think of them as the air traffic control for AI, automatically:⁣ ✅ Rerouting requests when a provider struggles⁣ ✅ Balancing quality vs. cost in real time⁣ ✅ Keeping systems running without teams firefighting at 2 AM⁣ ⁣ What’s exciting is how both enterprises and the open source ecosystem are tackling this:⁣ o  𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 like AWS Bedrock, Azure AI Studio, Google Vertex AI → managed resiliency & integrations⁣ o  𝐀𝐏𝐈 𝐠𝐚𝐭𝐞𝐰𝐚𝐲𝐬 (Kong, Tyk) + observability tools (Datadog, Prometheus, OpenTelemetry) → health checks, circuit breakers, real time insights⁣ o  𝐎𝐩𝐞𝐧 𝐬𝐨𝐮𝐫𝐜𝐞 𝐬𝐭𝐚𝐜𝐤𝐬 like LiteLLM, LangChain, BentoML → multi model orchestration with real flexibility⁣ ⁣ 👉 𝐓𝐚𝐤𝐞𝐚𝐰𝐚𝐲: Resilience is becoming just as important as intelligence in GenAI.⁣ ⁣ Curious to know how are you (or your teams) approaching routing, failover, and cost optimization in your AI stack?⁣ ⁣ #GenAI #AIInfrastructure #AIGateways #AIOperations #MLOps #LangChain #AWS #AzureAI #VertexAI #OpenSourceAI⁣