Explore the reasons why enterprise AI adoption fails or falls short and how Graphwise, through its Microsoft 365-native solution, addresses these challenges.
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Why a Semantic Layer Matters More Than Ever in the AI Era
Learn how a semantic layer provides the contextual enrichment for effective data utilization and trusted AI.
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Measuring the Value of Natural Language Query Implementation Over a Semantic Layer
Quantify the NLQ’s value over a semantic layer. Enhance data access and analytics through structured data discovery and analytics.
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What is Taxonomy Management
Download this white paper to learn more about how taxonomy management helps you manage your data and stay ahead of the curve.
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Knowledge Graph Implementation: Costs and Obstacles to Consider
This white paper covers the critical costs, organizational barriers, and expert resources for data-driven success with building knowledge graphs.
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The Seven Cases for Knowledge Graph Integration in a RAG Architecture
This white paper explores 7 use cases for fusing structured content, improving filtering, and enabling personalization with knowledge graphs.
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Exploring FIBO with Graphwise GraphDB
This white paper explores the preloaded FIBO in Graphwise’s GraphDB for reasoning, integrity checks & matching industry vocabularies.
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Building a Semantic Layer and Enabling Generative AI for Enterprises
This white paper gives an introduction to semantic layers and how they can be used to connect data silos and enable intelligent applications.
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Modernizing Your Data Strategy with a Graph Center of Excellence
This white paper emphasizes the importance of a Graph Center of Excellence, use cases, benefits, and approaches.
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State of Play on LLM and RAG: Preparing Your Knowledge Organization for Generative AI
This study, sponsored by Graphwise, explores LLMs and RAG in enterprises and provides statistics from executives across various industries.
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