How to avoid AI risks without Data Governance

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

Box value in context of the EU #AI Act for #lifesciences is our ability to serve as a #secure #compliant and #transparent content layer for data that fuels high-risk AI systems. Box provides critical foundation that addresses the core requirements of the ACT. This 📮 is focusing on #HighQualityData and #Governance: The EU Act places significant emphasis on the #quality and #governance of #data used to train high-risk AI systems, preventing bias and ensure accuracy. Box helps: 1️⃣ Centralised "Single Source of Truth" - AI Models within Life Sciences are trained on massive, disparate datasets such as #clinicaltrialdata #realworldevidence #genomicdata > Box provides centralised, single source of truth for this data, enabling #datascientists and #AIDevelopers to work on the same, most up to date and correct version of a dataset. This is a critical initial step in building a #highqualitydatapipeline. 2️⃣ #Versioncontrol and #Audittrails - Our platform automatically tracks every change in file. For the EU AI Act this essential demonstrates #dataprovenance > where data came from, who modified it and when. This detailed audit trial is a key component of the technical documentation required for #regulatoryapproval. 3️⃣ #Datalineage and #metadata - Box allows for the application of #richmetadata files, which can be used to track data lineage. As an example, a team can add #metadatatags indicating if a #dataset is de-identified, the source of the data, and the purpose for this it was collected. This helps to ensure that data is used in a manner #consistent with its original purpose and complies with both the #AIAct and #GDPR ⏭️ My next post 📮 I will dive deeper into the following topics covered under the EU AI Act and how Box can support your organisation: #Technicaldocumentation and #Transparency #Collaboration and #RegulatoryEngagement #ComplianceFramework Ⓜ️ For further insights into #content and #AI please join me and the Life Sciences Team at #BoxSummitLondon https://lnkd.in/ebTSHrnm

🤖 The Future of AI in UK Public Services is Here While many organisations are still exploring AI’s potential, forward-thinking public sector leaders are already seeing transformative results: 🎯 Key AI Applications We’re Seeing: 📑 Automated document processing (up to 70% time savings) 📊 Predictive analytics for smarter resource planning 👥 Enhanced citizen service delivery 🛡 Risk assessment & compliance monitoring As a G-Cloud approved supplier, we’re helping UK public sector organisations navigate the AI revolution safely and effectively. 💬 Question for you: What AI application excites you most for improving public services? #PublicSector #ArtificialIntelligence #GovTech #DigitalGovernment #Innovation #UKGov

AI is surrounded by indulgence and promises that it will make businesses more productive and efficient ⏫ However, the reality check is trickier: a recent MIT report shows that 95% of GenAI pilots fail because businesses avoid friction. As Forbes puts it: “Smooth demos impress, but without governance, memory, and workflow redesign, they deliver no value.” The lesson❓ Adoption needs prioritization, governance, and selective scaling. That’s where the OWASP® Foundation AI Maturity Assessment (AIMA) comes in. Think of it as a “report card” for your AI systems. It helps organizations assess maturity across strategy, design, implementation, operations, and governance — from the basics (no monitoring) to advanced practices (real-time dashboards tracking bias, accuracy & security). Curious how it works and how mature your AI really is? Explore the full blogpost here https://bit.ly/4nskorQ #code4thought #owasp #aisecurity #ResponsibleAI #aiassessement #AIQuality #biastesting #appsec

- “If you fail to plan, you plan to fail.” - That’s especially true for AI — where it is reported that 95% of pilot projects still fail to scale or deliver value as expected. - If you ask me, the reason is not technical but rather the lack of prioritization, governance, and selective, well-planned adoption. - This is where AI Adoption Maturity frameworks come into play — helping organisations assess where they stand, what gaps exist, and what to tackle next. - The newly released OWASP AI Maturity Assessment (AIMA) is a practical and actionable addition to the space. - At code4thought, we see it as a useful compass for organisations seeking to shift from AI initiatives to AI projects delivering actual value.

The EU AI Act is having a huge impact on how we think about risk, responsibility, and trust in the IT channel! I’m proud to share this new piece by our very own Gary Morris, who brought together insights from top vendors across the Climb Channel Solutions UK ecosystem to answer: ❓What does real, responsible AI look like as these new regulations take hold?❓ In this blog, Gary dives into how vendors like Superna, Unframe AI, Datadobi, Cloudian Inc, Sonatype, ManageEngine, RealVNC, and Panzura are navigating compliance, putting collaboration at the center, and building transparency into their AI strategies from the start. 💙 My favorite takeaway 💙 ➡️ Compliance isn’t about box-ticking. It’s about embedding strong data stewardship, visibility, and partnership into everything we do—as both a challenge and an opportunity to drive innovation and trust. If you’re thinking about AI risk, regulatory change, or what it means for the channel, I highly recommend giving this a read! 🔗 Check out the full blog: https://lnkd.in/eFQV7qXB #EUAIACT #AI #ChannelPerspective #ClimbChannelSolutions #Compliance #Trust #Innovation

⚡𝗗𝗮𝘁𝗮 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗺𝗲𝗮𝗻𝗶𝗻𝗴 𝗶𝘀 𝗷𝘂𝘀𝘁 𝗻𝗼𝗶𝘀𝗲 — 𝗮𝗻𝗱 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗮𝗱𝗼𝗽𝘁𝗶𝗼𝗻 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗶𝗻𝗴, 𝘁𝗵𝗮𝘁 𝗻𝗼𝗶𝘀𝗲 𝗰𝗮𝗻 𝗾𝘂𝗶𝗰𝗸𝗹𝘆 𝘁𝘂𝗿𝗻 𝗶𝗻𝘁𝗼 𝗿𝗶𝘀𝗸. A Semantic Layer turns raw data into business-ready intelligence: providing shared context, enforcing consistency, embedding governance, and preparing data that AI can actually trust. How Alex helps: 🧡 Single semantic layer across the enterprise → No more silos. ⌛ Automated standardization & lineage → Saves time and reduces errors. ⚖️ Built-in governance & policy enforcement → Compliance-first by design. ✨ AI-ready metadata → Meaningful, trusted, and ready for safe AI adoption. ➡️ De-risk AI: https://lnkd.in/d3Aya2KC #AlexActivatesMetadata #SemanticLayer #DataGovernance

If you need to represent the complex and raw understanding of your data landscape into a unified and business-friendly view, then one of the best ways to do this, is with a #metadata #catalog that serves as a critical bridge between data sources, manipulators like ETL, staging stores like data warehouses and data-lakes and analytics tools like Tableau Qlik Streamlit SAS Viya for both human users and AI systems. Standardizing business metrics and enforcing governance rules centrally, it can creates a "single source of truth" that breaks down data silos, ensures data consistency, and accelerates trustworthy AI adoption by providing meaningful and accurate data for models to use. Alex Solutions offers the ability to have a universal semantic representation of your data landscape that performs these functions, automating standardization, embedding governance for compliance, and preparing AI-ready metadata to enable safe, enterprise-wide AI adoption. 

How is the IT channel really responding to the new reality of AI risk? 🤔 The EU AI Act has quickly shifted AI risk and compliance from background buzz to front-and-center urgency for everyone in the IT channel. From resellers to MSPs and vendors, the stakes are higher—and the need for responsible, collaborative approaches has never been clearer. Our own Gary Morris, Presales Director, wanted to go deeper—so he spoke directly with leading vendors across the Climb Channel Solutions ecosystem about how they’re tackling these challenges head-on. The result is a must-read blog packed with real-world perspectives on how the channel is rising to meet regulatory requirements while driving innovation forward. Discover insights from leading experts at Superna, Unframe AI, Datadobi, Cloudian Inc, Sonatype, ManageEngine, RealVNC & Panzura, who spoke to us about: 🔵 The real meaning of "high-risk AI"—and how channel vendors are responding. 🔵 Why data quality, traceability, and stewardship are now non-negotiable. 🔵 How collaboration and transparency turn compliance from a checklist into a daily habit. 🔵 Strategies for combining trust, innovation, and regulatory readiness for intelligent solutions. Whether you’re navigating new compliance requirements or building your next AI offering, this blog delivers timely advice and actionable strategies. Don’t miss Gary’s conversations with the experts shaping the future of responsible AI in the channel. 🔗 Read the full post here: https://lnkd.in/efZsUh74 #EUAIACT #AI #ChannelPartners #AIGovernance #ClimbChannelSolutions #Compliance #Innovation #DigitalTrust

🎯[New Artefact Survey] The Future of #Agentic Supervision: Key insights for mastering #AI governance at scale! 🚀As AI agents transition from passive tools to autonomous decision-makers, a new frontier of enterprise governance is emerging. Our latest survey, led by Florence Bénézit, Partner & Data & AI Governance Expert at Artefact, explores how organizations can supervise these intelligent systems to maximize value while controlling risk. 📥Discover the article: https://lnkd.in/etnyr9yU 👉Download the survey: https://lnkd.in/eSHMGSBT 📌You’ll discover: 🔹 Why agentic AI systems can’t be governed like traditional software 🔹 How to strike the #value vs. #risk trade-off with probabilistic systems 🔹 A practical playbook built around the Observe – Evaluate – Act supervision loop 🔹 The emerging #AgentOps stack (LangSmith, DeepEval, Ragas…) and how to integrate it with your CI/CD and DataOps pipelines 🔹 The critical role of #LLM-as-a-Judge techniques to scale evaluations 🔹 How to design, deploy, and evolve #guardrails from Day 1 🔹 Why governance is a team sport involving Legal, Ops, Compliance & Tech 💡Agentic #supervision starts before deployment and extends through the full lifecycle. It’s not just about avoiding failure, it’s about building trust and creating a durable strategic advantage. 🤖If you’re building or scaling autonomous agents, this survey is a must-read. Whether you’re in AI engineering, risk, compliance, or digital strategy, this is your roadmap to responsible, high-impact agent deployments.