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McKinsey's approach leverages knowledge graphs to inject semantic context into enterprise AI, enabling systems to process ambiguous, unstructured data with deterministic business rules rather than relying solely on transactional relational databases. This shift allows AI applications to understand complex business relationships and processes programmatically, significantly reducing the manual effort previously required by analysts to structure such information.

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McKinsey connects enterprise data through a knowledge graph for AI

SiliconANGLEOctober 9, 20264 min read

The knowledge graph can give enterprise AI applications context by connecting data with the business relationships needed to support decisions. Knowledge graphs can connect enterprise data with the meaning AI applications need. Many people have used graphs for years, nearly every day, though they may not have known it, Many people have used graphs for years, […] The post McKinsey connects enterprise data through a knowledge graph for AI appeared first on SiliconANGLE.

The knowledge graph can give enterprise AI applications context by connecting data with the business relationships needed to support decisions. Knowledge graphs can connect enterprise data with the meaning AI applications need. Many people have used graphs for years, nearly every day, though they may not have known it, Many people have used graphs for years, nearly every day, though they may not have known…

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