A context layer is an infrastructure component that gives AI applications access to metadata, business definitions, lineage, entity relationships, and domain-specific knowledge alongside enterprise data.
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Blog Post
From Data Silos to a Single Source of Truth – Introducing the Graphwise Platform
Read about how Graphwise Platform is the solution to AI hallucinations by grounding it with verifiable and tracible data
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Blog Post
Graphwise: Setting the Gold Standard for Compliant Enterprise AI
Read about how Graphwise’s ISO/IEC 42001-certified GraphRAG technology helps enterprises meet EU AI Act compliance requirements.
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Thought Leadership post
The Microsoft 365 Knowledge Island Challenge: Why Semantic Layers Are the Key to Production-Grade AI
Andreas Blumauer talks to TECHINTELPRO about how semantic layers can transform Microsoft 365 environments
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Blog Post
When FAIR Becomes Architecture: Solving Preclinical Data Fragmentation at Scale
Read about how a top-5 global pharma company transformed a fragmented preclinical in vivo data landscape into a semantically rich knowledge graph
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Fundamental
What Is a Semantic Layer?
A semantic layer is a business-friendly representation of data that elucidates complex business logic in simpler terms.
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Fundamental
What is Entity Linking?
Entity linking is the process of identifying mentions of entities in text and connecting them to their unique identity in a knowledge base.
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Blog Post
How to De-Risk Your AI Strategy and Deliver Results Faster with an Accelerator Program
Read about why enterprise AI efforts carry high risk and how the Graphwise Accelerator Program helps teams deliver results faster.
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Blog Post
The Semantic Layer: A Reliable Map of the Enterprise Data Landscape
Read about how the idea of a semantic layer started, what are its elements, and how we can use it to enhance the performance of large language models
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Blog Post
Graphwise – Unlocking Enterprise Potential: The Strategic Power of a Semantic Layer
Learn how a semantic layer helps with data silos & AI hallucinations and how to unify data & build reliable AI.
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