Microsoft Fabric: Unifying Data for AI at Scale

🚀 Big news from #FabConVienna! Microsoft Fabric is redefining how we build data-rich AI agents on an enterprise-ready foundation. Full blog post and snappy video demos here: https://lnkd.in/eX94bH7N Key highlights: ✅ Graph in Fabric (Preview) – Unlock hidden relationships across customer, partners and supply chains for smarter decisions. ✅ Maps in Fabric (Preview) – extract real-time location-based insights for your existing business processes to drive better awareness and outcomes ✅ OneLake upgrades – Zero-copy data access, Oracle & BigQuery mirroring, and stronger governance. ✅ Developer boost – Extensibility Toolkit + MCP for seamless automation and AI-assisted coding. Why it matters: ✔ Faster AI adoption ✔ Real-time intelligence ✔ Enterprise-grade security The future of AI isn’t just more data—it’s connected, contextualised data that drives action. 👉 How will you use these innovations to transform your business? #MicrosoftFabric #AI #DataStrategy #FabConVienna

💡 The future of analytics belongs to pipelines that think and repair themselves! 🔥 By combining Microsoft Fabric and Azure AI, we embed intelligent agents that monitor, detect, and self-heal turning static pipelines into adaptive systems. The result is enterprise analytics that stay reliable, governed, and cost-efficient, even as data volumes grow 📈 ✅ Executives gain confidence that dashboards refresh on time. Analysts focus on insights, not troubleshooting. Operations scale without adding burden 👀 👌 This is Agentic Analytics where pipelines that run and optimize themselves. It’s not a concept for tomorrow; we’re delivering it today 👉 Read how we build self-healing data pipelines with Fabric + Azure AI https://lnkd.in/gEt5CyYB #AgenticAnalytics #MicrosoftFabric #AzureAI #EnterpriseData #IntelligentAutomation #FutureOfAnalytics #ZCS

🚀 80% of Fortune 500 companies now use Microsoft Fabric — and it’s not just about managing data anymore. It’s about unlocking knowledge. 🔍 The latest evolution? Microsoft is integrating LinkedIn’s graph database technology into Fabric to solve a key challenge in enterprise AI: understanding relationships between data entities. 🧠 While vector databases are great for semantic search, they lack context. Graph databases fill that gap by modeling connections — between customers, suppliers, systems — creating knowledge graphs that bring memory and relevance to AI. 🔄 Microsoft’s two-stage approach: Graph narrowing: Identify relevant entities through relationships. Vector zoom: Perform semantic search within that refined set. 💡 This dramatically improves AI accuracy and performance — reducing noise, speeding up responses, and enabling agentic systems with persistent memory. 📊 With native support for GraphQL, open formats, and real-time mirroring (Oracle, BigQuery), Fabric is becoming the unified data intelligence platform for enterprises. We see how this shift from data lakes to context-rich knowledge platforms can transform fraud detection, customer intelligence, and operational efficiency. https://lnkd.in/evUGSU5C 🔗 Curious how this could reshape your AI strategy? Let’s connect. #MicrosoftFabric #LinkedInGraph #EnterpriseAI #KnowledgeGraph #DataPlatform #AzureData #FinancialServices #AIInfrastructure #TechLeadership

Recently, I had the opportunity to implement Snowflake Cortex Analyst for one of our customer, empowering them with an advanced conversational analytics solution! By leveraging Snowflake’s Cortex Analyst, have enabled business users to ask data questions in natural language—and receive instant, accurate insights—without needing to write SQL statements. The implementation seamlessly bridged the gap between non-technical teams and complex data, accelerating decision-making and enhancing business intelligence across the board. In my new Medium blog, I detail our approach, the technical architecture, and best practices that helped us deliver a self-service analytics experience—powered by secure, state-of-the-art LLMs from Meta and Mistral—right within the Snowflake Data Cloud. https://lnkd.in/gAEZJPFq #Snowflake #Snowflake #CortexAnalyst #ConversationalAnalytics #DataCloud #learn #Genpact #semantic #CortexAI

Instead of every service building out an integration for every AI agent, MCP defines a protocol where any application can maintain a single MCP server implementation that exposes its functionality. #DataScience #AI #ArtificialIntelligence https://hubs.li/Q03J5GPR0

BonData’s AI-powered data platform, now on AWS Marketplace, simplifies data management for the AI era. “At BonData, we believe the future belongs to organizations that empower their employees to leverage and act on their data in a fast and simple way,” said Caroline (Sakkal) Meidan, CEO and Co-Founder of BonData. Read the full news: https://lnkd.in/dKz6UNkp #DataManagement #AIPlatform #AWSMarketplace #IntelliBond #DataGovernance #AIDataEngineer #TechIntelPro

Understanding the intricacies of data management is increasingly critical in today's tech landscape. If you're looking to enhance your skills and effectively handle data challenges, I recently came across an enlightening article that walks through essential data handling strategies. It offers practical steps, starting from foundational concepts to more advanced techniques, enabling users of all levels to gain confidence in their data capabilities. By embracing these tips, you not only improve your data management skills but also empower your decision-making processes, ultimately driving better outcomes for your projects. I encourage everyone exploring data science or cloud technologies to check it out. Feel free to share your own experiences or tips for effective data handling in the comments. #DataManagement #CloudTechnology #DataScience #Collaboration https://lnkd.in/g-Dw_Rc9

Gartner warns that by 2027, 60% of organizations will fail to realize AI value due to data governance gaps. In The Register, EDB’s VP of Product Marketing Doug Flora explains how the EDBPostgres AI Factory helps enterprises cross the agentic AI chasm with a sovereign platform that unifies data, secures it end-to-end, and accelerates production by as much as 3x faster with 6x better cost efficiency. Read Doug’s full piece here: https://bit.ly/4oZDirk #EDBPostgresAI #SovereignAI #DataSovereignty #AgenticAI #PostgreSQL #DataSecurity #AIFactory

𝐒𝐜𝐡𝐞𝐦𝐚 𝐑𝐞𝐠𝐢𝐬𝐭𝐫𝐲: 𝐂𝐫𝐞𝐚𝐭𝐢𝐧𝐠 𝐭𝐲𝐩𝐞-𝐬𝐚𝐟𝐞 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 𝐮𝐬𝐢𝐧𝐠 𝐒𝐜𝐡𝐞𝐦𝐚𝐬 𝐚𝐧𝐝 𝐄𝐯𝐞𝐧𝐭𝐬𝐭𝐫𝐞𝐚𝐦𝐬 (𝐏𝐫𝐞𝐯𝐢𝐞𝐰) Real-Time Intelligence is an end-to-end solution in Microsoft Fabric that powers event-driven and streaming applications. It enables the extraction of insights, visualization, and action on data in motion by handling data ingestion, transformation, storage, analytics, visualization, tracking, AI, and real-time actions. 📌 𝑹𝒆𝒂𝒅 𝒃𝒍𝒐𝒈 𝒇𝒐𝒓 𝒎𝒐𝒓𝒆 𝒅𝒆𝒕𝒂𝒊𝒍𝒔: https://lnkd.in/g9FVmyKE #NextGenDataAspirants #Metadata #DataIntegration #RESTAPI #PowerBICommunity #BusinessIntelligence #SQLanalyticsendpoint Magudeswaran | Kaviya | Manikanta Reddy | Srinivasareddy | Sreethar M B | Suresh | Maureen Direro | Krishnakanth | Gopi Krishna | Satya Sekhar | Subhasis Das | RAMA | Santosh J. | Mahesh

Gartner warns that by 2027, 60% of organizations will fail to realize AI value due to data governance gaps. In The Register, EDB’s VP of Product Marketing Doug Flora explains how the EDBPostgres AI Factory helps enterprises cross the agentic AI chasm with a sovereign platform that unifies data, secures it end-to-end, and accelerates production by as much as 3x faster with 6x better cost efficiency. Read Doug’s full piece here: https://bit.ly/45ZjbT2 #EDBPostgresAI #SovereignAI #DataSovereignty #AgenticAI #PostgreSQL #DataSecurity #AIFactory