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Archive for "Underperforming assets"

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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.
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Graphwise Knowledge Hub

Demonstrates how unifying company, product, and market knowledge into a single AI-ready graph gives teams one reliable source of truth.
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GraphRAG & Semantic Search

Demonstrates how a connected, semantically powered system helps employees find precise answers in seconds instead of digging through documents – while ensuring teams reuse approved knowledge instead of recreating it.
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Power System Digital Twin

Demonstrates how natural language interaction with complex power system data allows engineers to quickly trace grid relationships, identify issues, and access critical information – without needing to navigate multiple specialized tools.
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ESG Report Intelligence

Demonstrates how turning complex ESG disclosures into structured, explainable data allows analysts to quickly compare metrics, trace how scores are derived, and confidently support reporting and investment decisions.
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Graphwise for M365 Integration

Demonstrates how bringing Graphwise into M365 helps employees instantly find the right document, or answer within their daily tools – reducing time spent searching and cutting down on repeated questions.
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CABI Digital Library

Demonstrates how semantic search helps users quickly find the most relevant research across a vast library – reducing time spent sifting through publications and enabling faster access to actionable insights in agriculture and environmental challenges.
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Health Advice Search

Demonstrates how precise, self-service search across 200+ medical sources allows users to get reliable answers in seconds – reducing dependency on support channels and ensuring consistent, trusted health information at scale.
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GraphRAG ESG Assistant

Demonstrates how structured semantic search lets users quickly navigate complex ESG topics – speeding up compliance checks, and improving data discovery and understanding.
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Microsoft Documentation Management

Demonstrates how a centralized, auto-tagged knowledge base gives users a single place to find accurate information – reducing duplicate content, shortening search time, and ensuring everyone works from the same up-to-date resources.
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