Microsoft updates OneLake in Fabric for AI agents

Microsoft announced the latest innovations to Microsoft Fabric, such as Graph, a low-code platform for modeling and analyzing relationships in data, and Maps, which allows users to visualize and enrich location-based data. https://lnkd.in/eDHRwmkF

Microsoft just released a document on how to govern AI Agents properly. Here are the 10 steps you must follow to admin and govern agents: 1. Build your champion team → Select early adopters, give them Copilot licenses, and let them explore Agent Builder. 2. Set guardrails early → Use Microsoft 365 Admin Center to assign secure permissions and test the first org-wide agent. 3. Train your org → Provide structured training on Copilot Chat and agent-building basics per department. 4. Pilot with proof-of-concept agents → Roll out initial agents to test real usage and gather insights. 5. Stand up a Center of Excellence → Create a CoE to define standards, approve agents, and govern development. 6. Identify department makers → Train key users in each unit to build and manage agents tied to work data. 7. Enable cost control → Set up per-department pay-go meters and restrict oversharing in Power Platform. 8. Gate sharing with governance → Let CoE evaluate agents before org-wide access — block or approve accordingly. 9. Monitor usage and scale → Use built-in analytics to track agent activity, enforce limits, and optimize deployment. 10. Manage spend actively → Set up usage alerts to stay on top of consumption and budget impact. The underlying principles apply far beyond the Microsoft space. Whether you’re using Claude, ABBA, OpenAI, or building your own stack: You need governance. You need structure. You need a plan.

Some cool Data and Platform engineering updates popped up recently... Google announced ‘Data Engineering Agent’ - simplifying and accelerating data engineering within BigQuery. It is an agentic solution, designed to act as intelligent partners in creating data workflows. Ref. https://lnkd.in/eFMtESG3 IBM’s new open-source toolkit, Docling, allows developers to easily convert PDFs, manuals, and slide decks into specialized data for customizing enterprise AI models. It can be used to train and customize AI models and AI agents for enterprise tasks and to ground them on the latest, most accurate facts through RAG. Ref. https://lnkd.in/eKdbcaCV

Daily AI Business Update — quick hits Microsoft × SentinelOne: Deeper AI-security partnership toward real-time detection and autonomous response at scale by 2026. (Source: SentinelOne–Microsoft integrations) Amazon: “Amazon Q Business for Retail Intelligence” gives merchants a gen-AI analytics suite to speed insights and lift conversions. (Source: AWS) Google × Mayo Clinic: Teaming up on AI-driven cancer-detection models with real-world deployment targets; research momentum building. (Source: Mayo/coverage) Cognizant: Deploying 1,000 “Context Engineers” with Workfabric AI to capture workflows and industrialize agentic AI. (Source: Cognizant) Subscribe for the daily update Sources Sources Microsoft × SentinelOne integrations: SentinelOne on Azure AD & Zero Trust (press/blog) and Microsoft Entra partner note. https://lnkd.in/gMKgqF2x https://lnkd.in/gk5t42Hh Amazon Q Business for Retail Intelligence (AWS blog): https://lnkd.in/gC27JXQR Google × Mayo Clinic background & recent coverage: https://lnkd.in/gJ36RUdr https://lnkd.in/gDDJ7pqr Cognizant 1,000 Context Engineers (press): https://lnkd.in/gzP4hbAF

Enterprise AI needs more than data—it needs knowledge. That’s why we’re integrating LinkedIn’s graph database tech into Microsoft Fabric. This shows we are paying attention to what you need to build these applications. 💡 https://msft.it/6048smWb0

Enterprises don’t just need apps that run — they need apps that adapt, scale, and align with strategic goals. The latest Microsoft Fabric updates show what “enterprise-ready” really means: ☑️ Graph → mapping supply chain dependencies & customer relationships ☑️ Maps → visualizing real-time, location-based insights ☑️ OneLake + Azure AI Search → making apps context-aware and secure ☑️ Fabric + Azure AI Foundry integration → aligning AI apps with business operations This unified approach helps enterprises move from fragmented data to connected, actionable intelligence. The result? Faster decisions, reduced risk, and apps that deliver strategic value from day one. In 2025 and beyond, “enterprise-ready” isn’t just about security and scale — it’s about being AI-ready.

Semarchy Integrates Microsoft Fabric for Trusted Data Insights Dipti Borkar, VP and GM, OneLake and Fabric ISVs, Microsoft, commented: “This collaboration enables Microsoft Power BI dashboards built directly on enriched, trustworthy golden data records in Microsoft OneLake with the depth of context provided by semantic models. Together with Semarchy, we’re giving our customers additional tools to drive value, automate business insights, and push the boundaries of enterprise data analytics.” Read More: https://lnkd.in/dVqGKZWZ #AI #AITech365 #DataManagement #MicrosoftFabric #news #Semarchy #SemarchyDataPlatform

Microsoft Fabric - let's talk about it! In today’s data-driven world, siloed systems and disconnected tools are slowing businesses down. Enter Microsoft Fabric – a unified, end-to-end analytics platform designed to transform the way organizations handle data, analytics, and AI. What is Microsoft Fabric? It’s Microsoft’s all-in-one platform that brings together Power BI, Data Factory, Synapse, and more into a single, seamless experience. It’s not just another tool – it’s a foundation for the modern data estate. It even has native integrations to Azure OpenAI, which means Fabric empowers teams to build intelligent applications and unlock real-time insights with ease. Businesses want to stay competitive, improve decision-making, and future-proof their data strategy - so perhaps see what Microsoft Fabric can do for you!

Enterprise AI needs more than data—it needs knowledge. That’s why we’re integrating LinkedIn’s graph database tech into Microsoft Fabric 💡 https://msft.it/6046smsDr

Enterprise AI needs more than data—it needs knowledge. That’s why we’re integrating LinkedIn’s graph database tech into Microsoft Fabric 💡 https://msft.it/6047sWRCZ