Resources
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
read more
The Context Layer: The Emerging Stack for Context-Aware AI
Getting AI into production isn't just about the model: it's about context. Join Andreas Blumauer, SVP of Growth and Co-founder at Graphwise, as we unpack the emerging "context layer" powering trustworthy, hallucination-resistant AI systems.
read more
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.
read more
Advancing Power System Analysis with AI and Semantic Data
Read about how Talk2PowerSystem enables power system engineers to query complex grid data using natural language.
read more
Metadata That Works: How Semantics and SharePoint Can Rebuild Organizational Trust
This session shows how semantic AI for M365 reduces metadata debt and enables scalable, AI-ready content delivery through automated tagging and governance.
read more
What is a Context Graph?
A context graph is a knowledge graph in which every statement carries metadata about its source, validity period, confidence level, and access scope.
read more
Beyond the Chatbot: Why Marta is the Smarter Way to Navigate Graphwise
Read about our AI assistant designed to give instant, contextually accurate answers about our products, use cases & business value.
read more
Taxonomy in the Age of AI
What's actually changing for the people who build taxonomies? Heather Hedden and Gary Leicester have an honest conversation about where AI helps, where it doesn't, and what a practical workflow looks like.
read more
Semantic Analytics
Demonstrates how Knowledge Graphs enable algorithms to better analyze text by not only processing words, but also understanding the underlying concepts and their context.
read more
Introduction to The Strategic Use Cases
This webinar series opens with a question: why do 80% of AI projects fail before reaching production? On April 9, Andreas Blumauer and Pierre Roussel unpack the real reasons, and show where GraphRAG is helping organizations move past the pilot stage.
read more
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
read more
What Is a Semantic Backbone?
The Semantic Backbone serves as a source of truth, unifying data silos & providing contextual grounding for scalable and trustworthy Agentic AI.
read more