In this white paper, we outline how knowledge graphs are flexible, evolvable, semantic and intelligent. It is these characteristics that enable them to capture the description of data as an interconnected set of information that meaningfully bridges enterprise metadata silos.
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Resource Hub Search Table of Contents < All Topics Main Improve Metadata Consistency in SharePoint and AEM with AI-Powered Tagging Print Improve Metadata Consistency in
Discover why AI fails without context and how governance leaders can use AI Linking to connect data, terms, and policies for better compliance
Resource Hub Search Table of Contents < All Topics Main Data Governance Feature Focus – Neo4j Print Feature Focus – Neo4jThis video showcases the integration
TopBraid EDG uses vector databases and AI to power advanced linking and search capabilities. Learn how AI-generated vectors enable similarity comparisons between data assets and glossary terms, making it easier to align business and technical metadata. See how this approach strengthens data discovery, governance, and semantic understanding across your organization.
Explores how TopBraid EDG and Neo4j now work together, allowing teams to manage governed knowledge models in EDG and use them in Neo4j for dynamic graph applications.
Resource Hub Search Table of Contents < All Topics Main Data Governance The #1 Reason Financial Firms Struggle to Scale AI (And How to Fix
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