Semantic Layer
Automating Data Privacy Compliance: Knowledge Graphs, Generative AI, and Real-Time Risk
Read about how How to use knowledge graphs and GenAI to automate data privacy compliance and govern emerging AI use cases effectively.
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What Is GraphRAG?
Retrieval Augmented Generation enhances LLMs with external knowledge for more accurate, contextual question answering.
read moreWhat Is a Semantic Layer?
A semantic layer is a business-friendly representation of data that elucidates complex business logic in simpler terms.
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What Is a Knowledge Graph?
Knowledge graphs are a collection of interlinked descriptions of entities that put data into context and enable data analytics & sharing.
read moreWhat is Taxonomy Management?
Taxonomy Management helps enterprises organize their knowledge and make information easy to find, use and analyze. Learn more!
read moreWhat Is Metadata?
Metadata represents data about data. It enriches data with information which makes it easier to discover, use, and manage.
read moreWhat Is Ontology?
An ontology is a rulebook defining concepts within a specific domain, their properties, and their relationships, ensuring a common understanding of information and enabling organizations to make better sense of their data.
read moreWhat is Semantic Text Intelligence?
Semantic text intelligence focuses on using computational methods to "understand" unstructured text, extract meaningful facts, and integrate them into a structured knowledge base
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What is Entity Linking?
Entity linking is the process of identifying mentions of entities in text and connecting them to their unique identity in a knowledge base.
read moreWhat is Natural Language Querying?
NLQ empowers users to interact and “talk” to their data by using LLMs to bridge the gap between human questions and complex databases.
read moreWhat is Semantic Web and Semantic Technology?
The Semantic Web and Semantic Technology aim at a machine-readable internet where data is interconnected and meaningful.
read moreWhat is Data Fabric?
Data Fabric is a modern approach to data management that addresses the challenges of increasingly complex and distributed data landscapes.
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