Machine Learning for Financial Entity Resolution: Solving the Name Matching Problem at Scale
Entity resolution (ER), the process of identifying and linking different manifestations of the same real-world entity, is one of the most persistent hurdles in financial data science. Within the unclaimed property ecosystem, the challenge is amplified by scale and entropy. We are tasked with matching “John Smith” across 50+ independent state databases where records may…
