🤖  AI for Data Observability: Self-Healing & Anomaly Detection Today’s data-driven organizations struggle with volume, velocity, variety, and infrastructure sprawl, making it harder to ensure trust in data. That’s where AI-powered observability steps in. Unlike traditional monitoring, it doesn’t just flag issues, it predicts, detects, and fixes them automatically. ✅ Real-time anomaly detection → Identifies schema changes, spikes, or corruption instantly ✅ Root cause analysis → Correlates events across systems for faster resolution ✅ Self-healing systems → Auto-reroute pipelines, scale infrastructure, and fix errors before downtime hits ✅ AIOps synergy → Reduces alert fatigue, speeds up MTTR, and enables predictive maintenance 🔮 The future? Autonomous, self-healing data infrastructures where AI continuously learns, adapts, and optimizes reliability. Organizations that embrace this shift will cut costs, reduce firefighting, and unlock true data-driven agility. 📖 Dive deeper into the full blog here 👉 https://lnkd.in/gX94KWMW #AI #DataObservability #AIOps #MachineLearning #DigitalTransformation

We often assess whether our systems are robust enough for scale and forget that resilience isn’t only a system question but also a governance one. Control and accountability at the data layer are vital. The techUK article Robust AI Governance as a Path to Organisational Resilience gets right to the point: governance is a business-critical function that frames how organisations manage risk, comply with emerging AI and data regulations, and ensure operational continuity. For CISOs and their peers, the key question is shifting from “Is the data secured?” to “Can we prove how it’s being accessed, by whom, and why, across all environments, including AI pipelines?” This is where Self-Sovereign Data™ becomes foundational. By keeping data at source (zero-copy), embedding access policy logic directly into the data asset, and enforcing access through portable permissions, governance becomes continuous, tamper-proof, and scalable across jurisdictions. It’s a model built for the governance mandates of 2025 and beyond: continuous, provable control, even outside the perimeter. #SelfSovereignData #datagovernance #datasecurity #confidios

❓Missed the live session? You can still catch it on-demand! Distinguished data leaders shared their insights on how AI agents are driving data democratization: ⭐ Thomas Hughes, SVP, Technology Architecture & Data Platforms Engineering, Navy Federal Credit Union ⭐ Shannon Hughes, CDO Enterprise Data Architecture Manager, ExxonMobil ⭐ Matt Turner, Director, Product Marketing, Prophecy Key Takeaways: ✅ AI agents enable balance: scale self-service without losing governance ✅ Governance is an enabler, not just a safeguard ✅ GenAI delivers efficiency, but data quality, cost & security are critical ✅ Start small with pilots to scale responsibly 🎥 Watch the full conversation here: https://hubs.ly/Q03HhLKJ0 #AI #DataDemocratization #GenAI #DataGovernance #OnDemand

AI and real-time data are helping logistics teams detect disruptions and act faster. But the real shift is pairing that tech with people who can interpret, question, and lead with clarity. Read more: https://hubs.la/Q03HrrwC0

🏦 BANKER'S GUIDE SERIES: Data Intelligence Edition U.S. banks are sitting on 1 EXABYTE of stored data. That's one billion gigabytes of potential insights waiting to be discovered. But here's the challenge: 43% of leaders say data quality and readiness are their biggest obstacles to AI success. Our comprehensive Banker's Guide to Data Intelligence shows you how to: ✅ Transform fragmented data into strategic assets ✅ Build the foundation for successful AI implementation ✅ Reduce vendor complexity (from 80+ to a manageable ecosystem) ✅ Create unified customer views across all channels Ready to turn your data dilemma into your greatest opportunity? Download the guide: https://hubs.li/Q03GvgcT0 #DataIntelligence #BankingTransformation #FinancialData #AIReadiness

#AI can’t drive smarter #procurement decisions without the right data. This #GEP sponsored report shows how companies can improve data quality and governance to implement AI successfully. An important read if you’re leading #ProcurementTransformation.

While headlines break, our customers already know. * Last week when containers fell from a ZIM vessel in Los Angeles, Century customers didn’t wait for news reports or emails. *VIZIV’s real-time disruption alerts + AI container mapping instantly identified impacted containers and flagged shipments so our teams and customers could take action immediately. This is what “a step ahead” really looks like: • Proactive disruption detection • AI-powered container identification • Actionable insights before anyone else In today’s volatile supply chains, being notified in real time isn’t nice-to-have — it’s essential. Proud that our technology and people deliver that advantage every day!

How can companies unlock the value in artificial intelligence while mitigating the downsides? We asked leaders in this quickly changing field to weigh in.

💥 The 2025 Gartner Hype Cycle for GenAI highlights where leaders should focus: from models and engineering to AI agents and infrastructure. ↗️ At Arkon Data, we support enterprises to move beyond the “hype”, unifying fragmented systems into a scalable and governed foundation for AI and BI.

AI Governance is more than just risk mitigation. It’s about business growth and increasing efficiency. -> Grow the business: generate more business value from data -> Run the business: reduce costs, keeping the performance level high -> Protect the business: decrease financial and operational risks If you’d like to dive deeper, join us at Collibra Data Citizens on the Road (New York, London, Waldorf and Toronto) for our hands-on AI Governance workshops: https://lnkd.in/ePdx4bky Collibra #AIGovernance #BusinessValue