Why does data feel so siloed? In most organizations, data starts in isolated pockets. A department collects information to improve its products or operations, but this data stays locked away. While valuable, this siloed approach misses the exponentially greater value that comes from aggregating large data sets across the entire enterprise. This is the power of Big Data. Every enterprise uses data, but the most successful ones leverage Big Data for a competitive advantage: * Media and Consumer Products use it to build predictive models for new products and services. * Manufacturing deploys it for predictive maintenance, anticipating failures before they happen. * Retail businesses use it to improve customer experiences and manage complex supply chains. * Financial organizations analyze it to find patterns that indicate potential fraud. But Big Data's most critical role today is supporting AI initiatives. Artificial intelligence and machine learning require vast sets of rich data to train and validate models. A lack of sufficient data is one of the most common reasons AI initiatives fail. To truly achieve AI goals, organizations must develop an enterprise-wide approach to collecting, managing, and delivering integrated data. Of course, collecting all this data isn't easy. Big Data is often characterized by the 3 Vs: * Volume: The sheer scale of data is massive. Big Data solutions must collect, aggregate, and deliver massive volumes of data that can reach hundreds of petabytes. * Velocity: Data-driven decisions require the latest information. Velocity is the speed at which data is received and refreshed, demanding solutions that can handle continuous streams of new data. * Variety: Data comes in many forms—from structured databases to unstructured sources like video, images, and sensor data—each presenting its own unique challenges. More recently, the data community has added more "Vs" like Veracity, Value, and Visibility to highlight the ongoing challenges of storing, managing, and serving this crucial resource. How are you moving beyond data silos to unlock the full potential of Big Data and AI? #SAFe6 #Bigdata #AI4All learn more here: https://lnkd.in/eJHawGSg
How to break down data silos and leverage Big Data for AI
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AI is only as strong as the data foundation beneath it. Without context, models may produce results that are difficult to explain or trust. That’s where federated knowledge graphs come in — they connect distributed data sources into a unified layer that supports explainability, compliance, and smarter automation.
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Founder of HOBA TECH | Business-𝘭𝘦𝘥 Digital Transformation for Business Executives, Business Leaders & Business Transformators
🧱 Fabric combines Power BI, data engineering, and AI under one roof.📈🔗 HOBA Tip: In Analyze, map which data feeds which outcome; de duplicate before ingest. Caution: Platform consolidation doesn’t fix poor data stewardship. 📊 Unsure if your data is AI ready? Take the AI Readiness Scorecard—pinpoint gaps before you spend. Begin here → https://lnkd.in/ep_RhKHA #MicrosoftFabric #DataArchitecture #AIAnalytics #HOBAFramework
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🧱 Fabric combines Power BI, data engineering, and AI under one roof.📈🔗 HOBA Tip: In Analyze, map which data feeds which outcome; de duplicate before ingest. Caution: Platform consolidation doesn’t fix poor data stewardship. 📊 Unsure if your data is AI ready? Take the AI Readiness Scorecard—pinpoint gaps before you spend. Begin here → https://lnkd.in/eBNeYi54 #MicrosoftFabric #DataArchitecture #AIAnalytics #HOBAFramework
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📈 125k+ Followers | 🚀 AI Enthusiast & Entrepreneur 🔍 Want to collab? 👉 jason@jasonhood.me | 🧑💻 Free weekly newsletter on latest Al News and AI tools for growth below!
In today’s world, data is constantly growing—structured, unstructured, from every corner of your organization. But quality isn’t a one-time project. Collibra’s platform, combined with Observability, ensures that trust in your data is continuous, even as new information floods in. Teams can monitor, manage, and govern data at scale, turning complexity into actionable insights without losing confidence in their decisions. For organizations that rely on AI, analytics, or enterprise intelligence, having reliable, high-quality data at all times isn’t optional—it’s essential. Collibra empowers teams to stay ahead, ensuring that every dataset is governed, traceable, and ready to drive impact. If you’re passionate about data-driven decisions and continuous data quality, keep an eye on Collibra’s page for insights, strategies, and real-world examples from industry leaders. >> Wanna stay ahead in the data-driven world? Make sure to attend Collibra’s upcoming event “Data Citizens on the Road – Toronto” On October 8th 2025. Follow here > https://ow.ly/Wv8n50WMNO3 #DataQuality #DataGovernance #AI #Collibra #DataObservability #BusinessImpact
