Metataxis’ Post

Data is the currency of innovation, decision-making, and compliance. It’s also the fuel for all AI initiatives. Organisations can no longer afford to treat data governance as an afterthought. Yet, many find themselves stuck between knowing what good governance looks like and actually getting it done. Check out this new service offering. #aigovernance #datagovernance #governanceasaservice #evinact #goodgovernance

Lots of businesses struggle to transition data and AI governance from theory to action, let us take the problem away.

👻 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

This is the concluding post related to #datagovernance and #dataquality, where together with Rob Ferrone, we discussed the WHAT, HOW and the WHY of data governance and quality,needed for a modern, digital enterprise that benefits from AI tools. https://lnkd.in/ezW25Z-V More discussion is always welcome: Martin Eigner, Torbjörn Holm, Håkan Kårdén, Dr. Yousef Hooshmand, Jean-Charles Leclerc, Nicolas Figay, Steef Klein, Oleg Shilovitsky, Patrick Hillberg Ph.D., Benedict Smith, Michael Finocchiaro, Helena Gutierrez, Cristina Jimenez Pavo and many others ....

Organization that are introducing AI systems/Use case into their ecosystem without a robust Data Governance structure will soon find themselves in an high risk environment and fully exposed.. #riskmanagement#aims#thetechdude

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 

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

Data is the fuel for AI, but only if it’s trusted. 🔒 Fragmented, unstructured, or poorly governed data can derail even the most advanced AI initiatives. That’s where Archive360 comes in. We help organizations transform legacy and modern enterprise data into a secure, governed, AI-ready foundation. With our cloud-native archiving platform built for scalability and compliance, you can: ✅Archive and govern massive datasets across structured and unstructured systems ✅Enforce retention, disposition, and zero trust security policies ✅Activate curated, metadata-rich data into analytics and AI workflows This modern archiving platform helps you retire costly legacy systems, reduce technical debt, and unlock hidden intelligence while maintaining compliance and control. If you are looking to accelerate AI initiatives and minimize risk, Archive360 provides a clear path forward. Ready to see how it works? https://bit.ly/41cZcxi #Archive360 #AIReadyData #DataGovernance #DigitalTransformation #CloudArchiving #AIAnalytics

A great reminder that trusted data doesn’t just enable AI—it underpins effective governance, risk management, and compliance too. Without strong GRC practices, data can’t be truly AI-ready. Platforms like Archive360 help bridge that gap by ensuring data is secure, governed, and compliant—so organizations can innovate with confidence while staying in control.

Tailor Brands has launched an Model Context Protocol server This allows partners to embed legal and business-building services into AI products for small businesses. Nadav Shatz, CTO of Tailor Brands, said the MCP is an evolution of their existing API infrastructure, enabling AI agents to autonomously complete business services. Read more: https://lnkd.in/eKF8DHMh 📰 Subscribe to the Daily AI Brief: https://lnkd.in/eq56P3bj #ai #artificialintelligence #ainews #aistartup