Talent Intelligence

Talent intelligence is the combination of internal workforce data and external labor market data, analyzed with AI, to inform decisions about hiring, internal mobility, succession, and workforce planning. It answers questions such as where to source a role, who inside the organization is ready for it, and which skills the market is moving toward.

Skills intelligence is one input; talent intelligence is the broader decision layer built on it. The core mechanics are semantic matching (converting resumes, profiles, and job descriptions into vectors so candidates and roles match on meaning rather than keywords), stack ranking against hard and soft criteria, and graph traversal across a career architecture to recommend next roles. The common failure is treating it as a recruiting tool only; most of the value is in mobility and succession, where the talent is already inside the organization. Darwinbox's semantic talent search and stack ranking engine, career architecture graph, and successor identification run on this model.