AI Governance
What Is a Large Language Model?
Large Language Models (LLMs) are Machine Learning models that are trained on massive datasets of text to understand, summarize, generate and predict language.
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What is Auto Classification?
Auto Classification helps enterprises organize their knowledge and make information easy to find, use, and analyze. Learn more!
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What is Data Fabric?
Data Fabric is a modern approach to data management that addresses the challenges of increasingly complex and distributed data landscapes.
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What is Data Mesh?
Data mesh is a decentralized, domain-centric operational framework and architecture for managing data for establish better data ownership.
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Reducing Risk and Rework — How GraphRAG Delivers ROI in Compliance and Legal Workflows
Read about how GraphRAG bases AI on verifiable facts to ensure accuracy, audit trails & faster regulatory responses for measurable ROI.
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Introducing GraphRAG: The Trust Layer of the Graphwise Platform
Read about how GraphRAG beta introduces a new trust layer for generative AI in the Graphwise platform, making enterprise answers explainable, auditable, and context-rich.
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The Human Layer in GraphRAG: Roles, RACI, and the First 90 Days
Read about how a successful GraphRAG implementation depends primarily on establishing clear human governance.
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Bring Your Enterprise Information Security Management System with GraphRAG to the Next Level
Read abou how GraphRAG systems enhance enterprise information security management by using knowledge graphs
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Why Semantic Layers and GraphRAG Are Essential for Trustworthy AI
Read about how semantic layers and GraphRAG provide the essential foundation for building trustworthy AI systems
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The Graphwise AI Summit 2025: Your Final Call to Unlock Trusted AI
Read about this event where expert speakers are coming to talk about building explainable, enterprise-grade AI systems
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Why Customer Definition Consistency in Global Banking Matters More Than You Think
Read about how the adoption of semantic technology tools can help inconsistent customer definitions across global banks
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What Is SHACL?
SHACL is a W3C standard for describing conditions that a dataset must meet and a powerful tool for improving knowledge graph quality.
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