Graphwise AI Summit 2026 wrap-up: key lessons from both days, live audience questions, and what it takes to take AI from pilot to production.
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Summit Video
Want to talk to your data? Tell me about it: Making Data AI-Ready Through Semantic Annotation
This session shares how S&P Global uses semantic metadata and reference data alignment to make its data more AI-ready.
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Summit Video
How Do You Know? Building Data Your AI Can Be Trusted With
Cognizone presents a five-floor framework for AI-ready data, so you can always answer the question “how do you know?”
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Summit Video
From Ontologies to GraphRAG: Building Enterprise Knowledge Graphs for Real-World Use Cases
This session shares real-world GraphDB use cases across banking, manufacturing and knowledge management: from semantic modeling to AI-powered applications.
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Summit Video
Graphwise Platform: All-in-one semantic backbone connecting enterprise data with AI agents
How the Graphwise AI Suite turns messy, siloed enterprise data into a semantic backbone that grounds agentic systems.
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Summit Video
Data Governance of a Semantic Data Layer
This session shows how AstraZeneca is building a unified governance graph to map its data landscape and power its semantic data layer.
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Summit Video
How can semantic KGs help solve data challenges of energy enterprises
This panel explores how semantic knowledge graphs help TSOs connect fragmented grid data, and what it takes to move beyond pilots.
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Summit Video
AI and the Future of Technical Documentation: From LLMs to Fully Agentive Workflows
Avalara demonstrates a production-ready, end-to-end agentic workflow for technical documentation, and the role knowledge graphs play in it.
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Summit Video
AI-Driven Orchestration (AIDO): The Next Paradigm Shift Towards a Self-Reflective Semantic Backbone
This session explores AI-Driven Orchestration: AI agents that direct how an enterprise builds and refines its Semantic Backbone.
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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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