Entity centric learning™ is the highly accurate data and record matching technique with real time learning used by the Senzing® AI to resolve new records against existing entities.
Entity Centric Learning Excels at Discovery and Insight
Entity centric learning excels at uncovering matches and relationships that conventional methods miss. As more data is received, the AI learns and increases accuracy, discovers hidden connections, and provides a more comprehensive view of entities – even when data is inconsistent or incomplete.
Unlike traditional record-to-record matching, entity centric learning can find matches and relationships that other methods simply can’t identify.
