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McKinsey links enterprise data with knowledge graphs for AI context

AI summary

In a theCUBE interview, McKinsey distinguished partner James Kaplan said knowledge graphs connect enterprise data with the business relationships AI applications need to support decisions, noting consumers already rely on graphs via LinkedIn, Wikipedia and social media. He said AI can now turn messy, unstructured data into structured data and deterministic business rules stored in a graph. McKinsey says it applies this through the semantic data layer of EcliptOS, its AI operating system, which Kaplan described as a "graph of databases."

In-depth insight

For enterprises, the bottleneck for AI adoption is often how data context is organized rather than the model itself.

UPDATED 14:12 EDT / OCTOBER 09 2026

McKinsey's James Kaplan spoke with theCUBE about the knowledge graph during theCUBE + NYSE Wired: AI Luminaries interview series.

AI

McKinsey connects enterprise data through a knowledge graph for AI

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by Mark Albertson

#McKinsey & Company#EcliptOS#QuantumBlack

Original · 4 min readRead the original
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