Delivering Highly Accurate Record Matching with Entity-Centric Learning
Entity-centric learning is the highly accurate AI-powered record matching technique used by Senzing® entity resolution to resolve new records against existing entities. This unique Senzing capability is essential to finding criminals intentionally trying to obfuscate their identities. It is also great for identifying new opportunities, improving matching accuracy and reducing risk – regardless of use case.
Entity-Centric Learning Excels at Discovery and Insight:
Entity-centric learning is one aspect of the real-time learning in Senzing entity resolution. As data is received over time, the system becomes more accurate, reveals new connections, delivers more complete 360-degree entity views, and reveals better insights – even when data is inconsistent, messy or incomplete.
To learn more about Senzing Entity-Centric Learning, get our Technology Brief.