McKinsey Uses Knowledge Graphs to Power Enterprise AI

McKinsey distinguished partner James Kaplan says knowledge graphs give enterprise AI the context needed to support complex decisions by connecting data with business relationships. Unlike relational databases suited for transactional data, graphs handle ambiguous and interconnected information more intuitively. AI can now convert unstructured data into structured business rules stored in knowledge graphs, a task previously requiring costly analyst work. McKinsey applies this approach through EcliptOS, an AI operating system that links C-suite strategy to execution via agentic workflows and a semantic data layer connecting multiple databases.