As AI becomes more powerful, so does the need to manage it and the data behind it responsibly. This was the focus of one of out current synvert Innovation Days sessions: a deep dive into the intersection of AI governance and AI-supported data governance. We explored the implications of the upcoming EU AI Act — not just as a regulatory hurdle, but as a driver for more transparent, accountable AI systems. What does it mean for our customers? And how do we ensure compliance without slowing innovation? In the second half, we shifted the lens: How can AI itself support data governance? We looked at use cases around automated metadata enrichment, intelligent data discovery, and embedded AI capabilities in modern data catalog tools. It’s clear that AI is changing the way we manage data. However, it also raises the bar on how we manage AI itself. Balancing scalability with trust and regulatory alignment is no longer optional — it’s becoming a core design principle for modern data platforms. This session sparked some serious insights, and we’re excited to continue turning them into real-world solutions. Are you working through similar questions in your organization? #DataGovernance #InnovationDays #synvert #AIGovernance #AIAct #GenAI
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Agentic AI isn’t just another tech trend; it is redefining how data engineering scales and delivers impact. As data ecosystems become more fragmented and business needs evolve, rule-based automation falls short. What enterprises need now are intelligent, adaptive systems that go beyond static pipelines. Our latest blog explores how Agentic AI, powered by LLMs and multi-agent frameworks, is driving real transformation across the data lifecycle. From faster data ingestion to smarter governance, these AI agents collaborate with engineers, continuously learn, and respond to complexity in real time. What’s changing with Agentic AI: 🔹 Schema validation and lineage tracking that adapts 🔹 Context-aware data quality and governance 🔹 Conversational data discovery and metadata enrichment 🔹 Self-healing pipelines with built-in observability 🔹 Scalable, AI-powered Master Data Management Read the blog: https://lnkd.in/gemn_A-4 #EnterpriseAI #AgenticAI #GenAI #LLM #AIagents #DataEngineering #DigitalTransformation #Sigmoid
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Fragmented governance isn't just a roadblock. It's a dozen different red lights, dead ends and detours for data-driven growth. 🚦 If every department has its own map, how can anyone trust the destination? This misalignment doesn't just slow down analytics – it sabotages your AI before it even gets started. Trade the chaos for clarity. Unified governance frees your data from the constraints of silos, creating a single, trusted path forward for every team. 🧭 Leave silos in the dust, and accelerate every data and AI use case with Data Confidence™. 🔗 Your guide to how. → https://ow.ly/wLES50WEYly #UnifiedGovernance #DataConfidence #DataStrategy #AIGovernance
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📊 Every organisation has plenty of data - but too often, what they lack is confidence in using it. Collibra’s Data Confidence framework turns fragmented governance into a source of competitive advantage - and lets teams act fast, with trust. Their unified platform weaves together data governance, lineage, quality, privacy, and AI oversight, so decisions are informed, auditable, and reliable At intelia, we’re proud to help Australian businesses build that same confidence - through leading analytics, AI/ML, and infrastructure capabilities. Our certified team enables you to remove data roadblocks, unlock insight, and make smarter decisions faster.
Fragmented governance isn't just a roadblock. It's a dozen different red lights, dead ends and detours for data-driven growth. 🚦 If every department has its own map, how can anyone trust the destination? This misalignment doesn't just slow down analytics – it sabotages your AI before it even gets started. Trade the chaos for clarity. Unified governance frees your data from the constraints of silos, creating a single, trusted path forward for every team. 🧭 Leave silos in the dust, and accelerate every data and AI use case with Data Confidence™. 🔗 Your guide to how. → https://ow.ly/wLES50WEYly #UnifiedGovernance #DataConfidence #DataStrategy #AIGovernance
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📉 By 2026, 60% of #AI initiatives may be abandoned—because the #data isn’t ready. At #CDOIQ2025, Avinash Shahdadpuri, CRO & Co-Founder of Nexla , took the stage to share real-world U.S. use cases where AI-optimized #dataintegration is bridging that gap. In his session, “Real-World Data and AI Integration U.S. Cases,” Avinash demonstrated how enterprises can automate the creation of governed, secure, and AI-ready #dataproducts across thousands of sources—including unstructured formats like text, images, and video. The future of scalable, successful AI starts with the right data foundation. #CDO #CDOIQ #datamanagement #datagovernance #datascience #analytics
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📉 By 2026, 60% of #AI initiatives may be abandoned—because the #data isn’t ready. At #CDOIQ2025, Avinash Shahdadpuri, CRO & Co-Founder of Nexla , took the stage to share real-world U.S. use cases where AI-optimized #dataintegration is bridging that gap. In his session, “Real-World Data and AI Integration U.S. Cases,” Avinash demonstrated how enterprises can automate the creation of governed, secure, and AI-ready #dataproducts across thousands of sources—including unstructured formats like text, images, and video. The future of scalable, successful AI starts with the right data foundation. #CDO #CDOIQ #datamanagement #datagovernance #datascience #analytics
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Most traditional data governance tools assume a human is thoughtfully deciding what data to access. AI agents operate differently, they can access vast amounts of data very quickly, combine it in unexpected ways, and make decisions about how to use it, at machine speed. Without AI Trust infrastructure, you can't answer fundamental questions about your AI data usage: - What data is this agent actually using? - What sensitive data does the agent have access to? - How do we audit AI decisions after the fact? So basically, AI Trust means having visibility, accountability and control over how AI agents access and use your enterprise data. #AITrust
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Companies investing millions in agentic AI without proper enterprise orchestration are gambling with: * Operational continuity * Regulatory compliance * Competitive position The solution isn't avoiding AI—it's implementing it strategically with proven governance frameworks. Don't become another statistic. See how leading enterprises are achieving AI success where others fail. Read our full analysis on the Data Expo blog (link in comments). Attending Data Expo? Visit us at booth #88 to discuss AI orchestration strategies. #AgenticAI #DigitalTransformation #ExecutiveInsights #AIGovernance #EnterpriseAI #DataExpo2025 #NoCode #Utrecht #WEMNoCode
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👻 𝗦𝗵𝗮𝗱𝗼𝘄 𝗔𝗜 𝗶𝘀 𝗿𝗲𝗮𝗹 — 𝗮𝗻𝗱 𝗶𝘁’𝘀 𝗿𝘂𝗻𝗻𝗶𝗻𝗴 𝘂𝗻𝗰𝗵𝗲𝗰𝗸𝗲𝗱 𝗶𝗻 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀. AI innovation is racing ahead, but metadata, governance, and compliance foundations aren’t keeping up, creating fragmented GenAI landscapes and risky outcomes. From day one, Alex has been the Metadata Infrastructure Layer — the semantic and contextual foundation enterprises rely on to unify, govern, and operationalize metadata at scale. Today, that same foundation powers 𝗧𝗿𝘂𝘀𝘁𝗲𝗱 𝗔𝗜 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀 𝘄𝗼𝗿𝗹𝗱𝘄𝗶𝗱𝗲. We’re on a mission to eliminate AI outcomes you can’t fully explain or trust. 👉 Lets dive deeper: https://lnkd.in/d3Aya2KC #AlexActivatesMetadata #DataGovernance #AiGovernance #RiskandCompliance #DataLineage
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𝗬𝗼𝘂𝗿 𝗔𝗜 𝗶𝘀𝗻’𝘁 𝗳𝗮𝗶𝗹𝗶𝗻𝗴 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝗼𝗳 𝗔𝗜. It’s failing because your data isn’t ready for it. 🔥 𝗛𝗮𝗿𝗱 𝘁𝗿𝘂𝘁𝗵: If your data is scattered, messy, and unmanaged… GPT-5, Agentic AI, or the next shiny tool won’t save you. That’s why we built the 𝗔𝗜 𝗥𝗲𝗮𝗱𝘆 𝗗𝗮𝘁𝗮 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 — a no-fluff guide to turn: ❌ Chaos → ✅ Clarity ❌ Pilots → ✅ Production ❌ Data debt → ✅ AI ROI 📊 𝗜𝗻 𝘁𝗵𝗶𝘀 𝗶𝗻𝗳𝗼𝗴𝗿𝗮𝗽𝗵𝗶𝗰, 𝘆𝗼𝘂’𝗹𝗹 𝘀𝗲𝗲: - Where your AI readiness really stands - The steps to align data with business outcomes - How to unlock AI value faster (and avoid wasted millions) 🚀 𝗗𝗼𝗻’𝘁 𝗴𝘂𝗲𝘀𝘀 𝘆𝗼𝘂𝗿 𝘄𝗮𝘆 𝗶𝗻𝘁𝗼 𝗔𝗜. Start with the roadmap that leaders use to make AI work for real. 👉 See the full roadmap at DataGOL #AIReady #DataStrategy #DataGovernance #AITransformation #DataGOL #BusinessIntelligence #CIO #CDO
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AI doesn’t work in a vacuum; it learns from data. And where does that data live? That matters more than ever. As businesses double down on #AI adoption, they must also take responsibility for what data powers those models. That means being clear on where it’s stored, who controls it, and whether it aligns with regional regulations and values. Our team at ThinkOn supports innovation, but not at the cost of data governance. Responsible AI starts with responsible infrastructure. Let’s not treat data sovereignty like a checkbox. It’s the foundation. #DataSovereignty #ResponsibleAI #DataGovernance #CloudInfrastructure
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