MCP: A protocol for AI integration in data science

🚀 MCP isn't just another protocol — it's a shift in how AI connects to data. Featured in Techzine, CTO Amey Desai breaks down how Nexla is integrating Model Context Protocol (MCP) into their platform by treating it as a governed data product, not just an endpoint. From building secure gateways to enabling agentic AI orchestration, they’re setting a foundation for scalable, future-proof data flows — powered by Nexsets. 📰 Read the full article: https://hubs.ly/Q03GZ3wS0 #mcp #dataintegration #agenticai

A recent MIT study found that 95% of generative AI pilots have failed to deliver measurable business impact, often because the underlying data isn’t reliable or accessible. That’s why organizations are addressing analytics foundations now: to close reporting gaps, strengthen governance, and ensure their data can stand up to both executive scrutiny and new AI-driven workloads. Explore Business Reporter article and then join us for Foundations 2025: https://lnkd.in/exaN68SG #CData #CDataFoundations #DataStrategy #AIstrategy

The future of data and AI isn’t coming—it’s here. At #FabConVienna, Microsoft Fabric made it clear: the era of fragmented data is ending. With OneLake’s zero-copy mirroring, graph and geospatial capabilities, and developer-first extensibility, we’re moving toward a world where data is not just stored—it’s activated for AI at scale. This isn’t about features; it’s about strategy. Organizations that unify their data estate today will lead in building intelligent applications tomorrow. Question for you: How ready is your company data platform to power the next generation of AI-driven experiences? Read about all of the announcements made at FabCon Vienna here: https://lnkd.in/dmF_T5Uy #MicrosoftFabric #DataStrategy #AIInnovation

𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 𝗮𝗿𝗲 𝗮𝗱𝗱𝗶𝗻𝗴 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝘀 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗺𝗼𝘃𝗲 𝗰𝗹𝗼𝘀𝗲𝗿 𝘁𝗼 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗔𝗜. Oracle Autonomous Database was designed that way from day one. Real-time isn’t something you bolt on. If your AI doesn’t learn from now, it’s already behind. AI doesn’t fail because of the models. It fails because the data is old. Stale. Fragmented. Out of context. For AI to be useful, it needs 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲, 𝘂𝗻𝗶𝗳𝗶𝗲𝗱, 𝗔𝗜-𝗿𝗲𝗮𝗱𝘆 𝗱𝗮𝘁𝗮. That’s why Forrester recognized Oracle Autonomous Data Warehouse as a Leader in the 2024 Wave for 𝗧𝗿𝗮𝗻𝘀𝗹𝘆𝘁𝗶𝗰𝗮𝗹 𝗗𝗮𝘁𝗮 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 (Q4 2024). Here are the key benefits Forrester highlights - Here’s why this matters for AI 👇 ✅ 𝗥𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗱𝗮𝘁𝗮 𝗳𝗼𝗿 𝗰𝗼𝗻𝘁𝗲𝘅𝘁𝘂𝗮𝗹 𝗮𝗰𝗰𝘂𝗿𝗮𝗰𝘆 AI systems—LLMs, RAG frameworks, chatbots—only work when fed fresh, relevant data. ✅ 𝗨𝗻𝗶𝗳𝗶𝗲𝗱 𝘁𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝘀 + 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗶𝗻 𝗼𝗻𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 Forget brittle pipelines. With translytical platforms, AI retrieves the right context instantly. ✅ 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗮𝗻𝗱 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗮𝘁 𝘀𝗰𝗮𝗹𝗲 AI is nothing without responsible data handling. Centralized governance ensures compliance and trust. Snowflake and Databricks are moving toward real-time with add-ons. Oracle built it into the architecture from the start. 💬 What do you think? Should real-time AI be an add-on… or a foundation? 👉 Find the report here: https://lnkd.in/dEGWnwua #Data #Innovation #AI

The launch brings a next-gen approach to data management by: ✅ Creating a virtual intelligence layer that unifies data without duplication ✅ Automating discovery, schema adaptation, and quality monitoring in real time ✅ Empowering teams with natural language access to analytics-ready insights With #IntelliBond, BonData is helping #organizations unlock the strategic value of data—making it trusted, compliant, and AI-ready at scale. #AI #AWS #DataEra #CloudComputing #Innovation #DataManagement https://lnkd.in/d6BMJCiZ

The future of AI will be built on the data that powers our world today. That’s why 𝐎𝐫𝐚𝐜𝐥𝐞 𝐝𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐦𝐢𝐫𝐫𝐨𝐫𝐢𝐧𝐠 𝐢𝐧 𝐎𝐧𝐞𝐋𝐚𝐤𝐞, now in public preview, is a breakthrough. With Microsoft Fabric, organizations can: ▪️Integrate Oracle data natively into an AI-ready foundation without replication or ETL overhead. ▪️Accelerate AI adoption by making mission-critical Oracle workloads instantly available for analytics, modeling, and intelligent agent workflows. ▪️Enrich Oracle data with contextual insights across the business, thanks to Microsoft’s unified data platform. 𝐓𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐝𝐚𝐭𝐚 𝐢𝐬 𝐨𝐩𝐞𝐧, 𝐮𝐧𝐢𝐟𝐢𝐞𝐝, 𝐚𝐧𝐝 𝐀𝐈-𝐫𝐞𝐚𝐝𝐲. https://msft.it/6045sqDzX

A recent MIT study found that 95% of generative AI pilots have failed to deliver measurable business impact, often because the underlying data isn’t reliable or accessible. That’s why organizations are addressing analytics foundations now: to close reporting gaps, strengthen governance, and ensure their data can stand up to both executive scrutiny and new AI-driven workloads. Explore the #BusinessReporter article and then join us for Foundations 2025: https://lnkd.in/exaN68SG #CData #CDataFoundations #DataStrategy #AIstrategy

⚡️AI + Metadata = Smarter Pipelines Data teams are constantly asked to move faster and stay compliant. Too often, speed and trust feel like a trade-off. That’s why we’re excited about what Atlan’s new App Framework unlocks for Maia, Matillion’s agentic AI data team. By connecting Maia directly to trusted business context, organizations can: ✅ Build pipelines in minutes, not days ✅ Ensure every dashboard aligns to certified metrics ✅ Apply governance automatically, by design And it doesn’t stop there – with a two-way connection, Maia could also feed real-world lineage and usage back into Atlan, creating a data productivity flywheel where every new pipeline makes the ecosystem smarter. We explore the full potential in our latest blog → http://bit.ly/4gO5Bpn #DataEngineering #AI #Governance #Metadata #Matillion #Atlan

"This breakthrough protocol addresses the fundamental challenge facing AI developers: even the most sophisticated models are constrained by their isolation from data—trapped behind information silos and legacy systems."

"This breakthrough protocol addresses the fundamental challenge facing AI developers: even the most sophisticated models are constrained by their isolation from data—trapped behind information silos and legacy systems."