Read about the three perspectives shaping enterprise AI today and how each approaches its opportunities and risks before putting AI to work.
read moreArchive for "Enterprise Data Hub"
Blog Post
The Semantic Backbone: The Architecture Behind High-Precision AI Context Platforms
Read about the new industry category Gartner has named: AI Context Platforms. It’s something we’ve already spent years building what it actually requires.
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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
Querying Diverse Datasets with MCP
Read about how to integrate JDBC-enabled relational data with your RDF graphs and how to query them both with natural language
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Blog Post
From Data Exchange to Knowledge Exchange: Why Context is the Missing Layer in Enterprise AI
Read about the origins of the semantic web, the rise of enterprise knowledge graphs, their relationship to AI, and what it actually takes to get started.
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Blog Post
Lessons Learned from Building an AI-ready Knowledge Hub
Read about how we reimagined content to deliver actionable, context-aware knowledge through the Graphwise Knowledge Hub.
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Blog Post
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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Success Story
Enhancing Public Access and Legislative Transparency
The UK Parliament leveraged GraphDB to modernize its legislative and open data platform, enabling clearer public information & easier access.
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Success Story
Building a Cross-Country Open Data Platform for Gender Equality in STEM Leadership
With GraphDB, the Equality in Leadership for Latin American STEM (ELLAS) initiative powered the first regional open data platform.
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Blog Post
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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