Patent №
US 10,783,135
Granted
2020-09-22
Filed 2016
Owner
THOMSON REUTERS (TAX & ACCOUNTING) INC.
+3 more
Lab
—
AI components
3
kr · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
15014384
Exemplary embodiments of the present disclosure relate to systems, methods, and non-transitory computer-readable media that achieve eventual consistency of interrelated data in a computing system based on a relationship between the interrelated data (e.g., dependencies between interrelated data) and a configuration of an application programmed to consume the interrelated data. Exemplary embodiments can utilize one or more implicit or explicit dependency graphs, such as an implied or explicit directed acyclic graph corresponding to the interrelated data and the dependencies between the interrelated data. Subsets of the interrelated data can be associated with one or more groups or boundaries in the dependency graphs based on a configuration of applications programmed to consume the interrelated data and/or based on the dependencies between the interrelated data.
AI classification
Ownership
THOMSON REUTERS (TAX & ACCOUNTING) INC.
assignment · 378700536
THOMSON REUTERS GLOBAL RESOURCES
assignment · 378900701
THOMSON REUTERS GLOBAL RESOURCES UNLIMITED COMPANY
namechg · 443010670
THOMSON REUTERS ENTERPRISE CENTRE GMBH
assignment · 521090209
Assignors
STURM, ROBERT, SCHUWEILER, BRIAN, LANGE, MARCUS, VIBBERT, DAVID, UNNIKRISHNAN, KUMAR
On an employer assignment, the assignors are typically the inventors.