McKinsey connects enterprise data through a knowledge graph for AI

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McKinsey connects enterprise data through a knowledge graph for AI, according to 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, […] The post McKinsey connects enterprise data through a knowledge graph for AI appeared first on SiliconANGLE . UPDATED 14:12 EDT / OCTOBER 09 2026 AI McKinsey connects enterprise data through a knowledge graph for AI by Mark Albertson The knowledge graph can give enterprise AI applications context by connecting data with the business relationships needed to support decisions.

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 it, according to James Kaplan (pictured), distinguished partner at McKinsey & Company. “If you’re using LinkedIn, if you’re using Wikipedia, if you’re using any social media, that’s a graph,” he said.

Kaplan spoke with theCUBE Research’s John Furrier for theCUBE + NYSE Wired: AI Luminaries interview series , during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how knowledge graphs can provide context for enterprise AI applications.