US 11,706,311 B2
Engine to propagate data across systems
Michael Ogrinz, Easton, CT (US); Christine D. Black, Belfast, ME (US); Jayachandra Varma, Irving, TX (US); and Jinna Kim, Charlotte, NC (US)
Assigned to Bank of America Corporation, Charlotte, NC (US)
Filed by Bank of America Corporation, Charlotte, NC (US)
Filed on Oct. 27, 2022, as Appl. No. 17/975,064.
Application 17/975,064 is a continuation of application No. 17/533,351, filed on Nov. 23, 2021, granted, now 11,528,341, issued on Dec. 13, 2022.
Application 17/533,351 is a continuation of application No. 17/087,833, filed on Nov. 3, 2020, granted, now 11,252,249, issued on Feb. 15, 2022.
Application 17/087,833 is a continuation of application No. 16/808,856, filed on Mar. 4, 2020, granted, now 10,917,491, issued on Feb. 9, 2021.
Prior Publication US 2023/0049779 A1, Feb. 16, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 67/5651 (2022.01); G06N 5/04 (2023.01); G06F 8/41 (2018.01); H04L 67/01 (2022.01); H04L 47/2416 (2022.01); H04L 12/70 (2013.01)
CPC H04L 67/5651 (2022.05) [G06F 8/453 (2013.01); G06N 5/04 (2013.01); H04L 67/01 (2022.05); H04L 47/2416 (2013.01); H04L 2012/5621 (2013.01)] 1 Claim
OG exemplary drawing
 
1. A cognitive automation-based method propagating data across multiple systems via a private network to avoid repetitive data entry by a user, the method comprising the steps of:
receiving, by a cognitive automation platform from a data source, input source data;
storing, by the cognitive automation platform in a first sector of computer-readable media, the input source data;
extracting, by the cognitive automation platform from the input source data in the first sector of the computer-readable media, data to be propagated;
storing, by the cognitive automation platform in a second sector of the computer-readable media, the data to be propagated;
parsing, by the cognitive automation platform, the data to be propagated into parsed data;
storing, by the cognitive automation platform in a third sector of the computer-readable media, the parsed data;
normalizing, by the cognitive automation platform, the parsed data into normalized data for efficient processing, said normalized data normalized into at least a first normal form;
storing, by the cognitive automation platform in a fourth sector of the computer-readable media, the normalized data;
segmenting, by the cognitive automation platform, the normalized data into segmented data by breaking the normalized data into a plurality of smaller packets for efficient data transmission;
storing, by the cognitive automation platform in a fifth sector of the computer-readable media, the segmented data;
validating, by the cognitive automation platform, the segmented data into validated data to ensure that the validated data satisfies defined formats and input criteria;
storing, by the cognitive automation platform in a sixth sector of the computer-readable media, the validated data; and
distributing, by the cognitive automation platform over the private network, the validated data into a plurality of data stores communicatively coupled to the private network, thereby propagating said validated data without repetitive data entry.