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We rather see it as a new paradigm that is revolutionizing enterprise data integration and knowledgediscovery. The most advanced enterprise knowledge graphs smarten up proprietary information by using global knowledge as context for interpretation and source for enrichment.
Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structureddata and context provided by knowledge graphs. Linked Data, subscriptions, purchased datasets, etc.).
As a hub for data, metadata, and content, they provide a unified, consistent, and unambiguous view of data scattered across different systems. Organizations already know the data they need to manage is too diverse, dispersed, and at volumes unfathomable only a decade ago.
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