Semantic Layer
AI-ready Graph Environments: The Key to Scaling AI with Graphwise’s Knowledge Graphs
Read about why most enterprise AI fails and how Graphwise creates graph environments using knowledge graphs and semantics.
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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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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
read moreGraphGeeks in Discussion: AI Readiness with Sumit Pal
Join host Amy Hodler, founder and executive director of GraphGeeks, and guest Sumit Pal, former Gartner research VP and current Strategic Technology Director at Graphwise, as they dive into the power of graph technology and its impact on AI.
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Talk to Linked Life Data
Learn how Graphwise’s natural language query interface empowers scientists to explore target identification as easily as asking a question.
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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
read moreWhat Is SPARQL?
SPARQL is the standard query language and protocol for Linked Open Data on the web and RDF databases, designed by the W3C.
read moreWhat Is RDF?
RDF is a standard for data interchange that is used for representing highly interconnected data.
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Hot Trends and Use Cases for Semantics: A SEMANTiCS 2025 Industry Perspective
Read our overview of the SEMANTiCS 2025 Industry Track
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Improve Return on AI Investments with Knowledge Graphs
Read about how organizations must shift from data-driven to knowledge-driven approaches with knowledge graph powered semantic layers
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Why Your Data Strategy Might Be Broken and How Graphwise Provides the Solution
Read about why data challenges derail AI initiatives & how knowledge graphs overcome them, building a future-proof foundation.
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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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