US 12,265,553 B2
AI-augmented composable and configurable microservices for record linkage and reconciliation
Chung-Sheng Li, Scarsdale, NY (US); Winnie Cheng, West New York, NJ (US); Mark John Flavell, Madison, NJ (US); Nicholas John Hamer, Tampa, FL (US); Rhodri Davies, Tampa, FL (US); Thomas Vincent Giacomucci, Malvern, PA (US); Lacey A. Woolf, Springfield, VA (US); Raymund Anthony Florand Beltran, Wesley Chapel, FL (US); Craig Sharples, West Lafayette, IN (US); Matthew F. Connelly, Hingham, MA (US); Kevin Ma Leong, Newark, NJ (US); Scott Likens, Austin, TX (US); Joseph David Voyles, Louisville, KY (US); Xiaoying Chen, Shanghai (CN); Waqar Sarguroh, Chicago, IL (US); and Nancy Alayne Lizotte, Saline, MI (US)
Assigned to PwC Product Sales LLC, New York, NY (US)
Filed by PwC Product Sales LLC, New York, NY (US)
Filed on Mar. 29, 2023, as Appl. No. 18/192,421.
Prior Publication US 2024/0330323 A1, Oct. 3, 2024
Int. Cl. G06F 7/00 (2006.01); G06F 16/28 (2019.01)
CPC G06F 16/285 (2019.01) 22 Claims
OG exemplary drawing
 
1. A method for identifying a plurality of related data values in a plurality of datasets, wherein the method is performed by a system comprising one or more processors, the method comprising:
extracting a plurality of data categories and corresponding data values from a dataset of the plurality of datasets;
identifying one or more potential linking categories from the plurality of extracted data categories;
determining a validity of the one or more potential linking categories based on the corresponding data values of the one or more potential linking categories;
selecting one or more linking categories from the potential linking categories based on the validity of the selected one or more linking categories; and
identifying related data values between the plurality of datasets based on the selected one or more linking categories.