Disconnected data is silently breaking enterprise AI agents. Alan Morrison compares two fixes: GraphRAG vs. recursive self-improvement, and what each means for your team.
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Event
Graphwise Talk#3: Under the Hood of Trustworthy AI: Memory, Meaning, Infrastructure
In our third Graphwise Talk, ontologist Kurt Cagle joins Graphwise to get under the hood of trustworthy AI — how ontologies encode meaning, how semantic memory makes AI auditable, and what it actually takes to build systems that can explain themselves.
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Event
The Missing Layer Between Scientific Data and Breakthrough Ideas
R&D teams spend too much time searching systems instead of making breakthroughs. Graphwise and Datavid show how a semantic backbone unifies fragmented research data without requiring a costly infrastructure overhaul.
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Event
Graphwise Platform: Everything Between Your Data and Your AI
Platform Pulse is a quarterly webinar series about the Graphwise platform, where we walk you what it is, how the pieces fit together, and close with a live end-to-end demonstration of the full pipeline from raw data to AI response.
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Event
Making Product Knowledge AI-Ready: Lessons from KAESER
Product data locked in SAP and siloed systems stops AI initiatives in their tracks. KAESER and PANTOPIX reveal how they built a unified semantic backbone to turn complex product knowledge into a live, AI-ready application.
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Event
Talk2PowerSystem: Democratizing Power System Analytics via Generative AI
Complex grid data is usually locked behind specialized analysts. Statnett and Graphwise present a natural language chatbot that lets anyone query intricate energy data with plain-language questions.
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Event
Graphwise Talk#2: Symbolic AI: What Enterprise AI Actually Needs to Know
Most AI teams are building fast, but few are building AI they can actually defend. In this session, we break down what it takes to move from unreliable prototypes to governed, explainable AI systems that hold up under scrutiny.
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Event
The Context Layer: The Emerging Stack for Context-Aware AI
Getting AI into production isn’t just about the model: it’s about context. Graphwise SVP Andreas Blumauer unpacks the emerging “context layer” built to feed reliable enterprise knowledge to LLMs and eliminate hallucinations.
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Event
Metadata That Works: How Semantics and SharePoint Can Rebuild Organizational Trust
Inconsistent M365 metadata leads to lost productivity and broken search trust. This session shows how bridging taxonomy management with SharePoint delivers automated, machine-applied metadata people can actually trust.
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Event
Taxonomy in the Age of AI
What’s actually changing for the people who build taxonomies? Together with taxonomy expert Heather Hedden we discuss where AI speeds up taxonomy work, where it fails, and what practical workflows look like.
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