Summary: Building semantic knowledge graphs faster with AI, and embedding AI governance directly into the data layer speeds up time-to-value for semantic data governance. This
Learn how enterprise data governance ensures compliance, builds trust, and powers AI with a semantic foundation using knowledge graphs.
Legacy data catalogs weren’t built for AI—and it shows. In this whitepaper, TopQuadrant reveals the hidden metadata gaps holding back AI adoption and how TopBraid EDG delivers the infrastructure autonomous agents need to scale safely and effectively.
Harness the power of knowledge graphs to manage the metadata driving your AI architecture. Why AI Agents Need a Semantic Foundation Most AI agents today
Aligning metadata across SharePoint and Adobe Experience Manager is often a frustrating task. Content lives in silos. Tagging is inconsistent. Teams waste time trying to
Discover why AI fails without context and how governance leaders can use AI Linking to connect data, terms, and policies for better compliance
This video showcases the integration of Neo4j with TopBraid EDG, highlighting how this combination bridges different graph technologies to create a unified source of truth.
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.
AI is transforming the financial services industry, promising better risk management, fraud detection, and personalized customer experiences. Yet, despite massive investments, many financial institutions are
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