US 11,528,341 B2Granted

Engine to propagate data across systems

AssigneeBank of America Corporation

InventorsMichael Ogrinz, Christine D. Black, Jayachandra Varma, Jinna Kim

Life of this patent

Estimating the term…

Loading patent…

Abstract

Aspects of the disclosure relate to cognitive automation-based engine processing to propagate data across multiple systems via a private network to overcome technical system, resource consumption, and architecture limitations. Data to be propagated can be manually input or extracted from a digital file. The data can be parsed by analyzing for correct syntax, normalized into first through sixth normal forms, segmented into packets for efficient data transmission, validated to ensure that the data satisfies defined formats and input criteria, and distributed into a plurality of data stores coupled to the private network, thereby propagating data without repetitive manual entry. The data may also be enriched by, for example, correcting for any errors or linking with other potentially related data. Based on data enrichment, recommendations of additional target(s) for propagation of data can be identified. Reports may also be generated. The cognitive automation may be performed in real-time to expedite processing.

Claims20

Dependent claims

A method for propagating data across multiple systems via a private network to avoid repetitive data entry by a user, the method comprising the steps of:

a. receiving, by a platform from a data source, input source data;
b. storing, by the platform in a first sector of computer-readable media, the input source data;
c. extracting in real-time, by the platform from the input source data in the first sector of the computer-readable media, data to be propagated;
d. storing in real-time, by the platform in a second sector of the computer-readable media, the data to be propagated;
e. parsing in real-time, by the platform, the data to be propagated into parsed data;
f. storing in real-time, by the platform in a fourth sector of the computer-readable media, the parsed data;
g. normalizing in real-time, by the platform, the parsed data into normalized data for efficient processing, said normalized data normalized into at least a first normal form;
h. storing in real-time, by the platform in a fifth sector of the computer-readable media, the normalized data;
i. segmenting in real-time, by the platform, the normalized data into segmented data by breaking the normalized data into a plurality of smaller packets for efficient data transmission;
j. storing in real-time, by the platform in a sixth sector of the computer-readable media, the segmented data;
k. validating in real-time, by the platform, the segmented data into validated data to ensure that the validated data satisfies defined formats and input criteria;
l. storing in real-time, by the platform in a seventh sector of the computer-readable media, the validated data;
and
m. distributing in real-time, by the 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.

11 more elements

A method for propagating data across multiple systems via a private network to avoid repetitive data entry by a user, the method comprising the steps of:

a. receiving, by a platform from a data source, input source data;
b. storing, by the platform in a first sector of computer-readable media, the input source data;
c. extracting in real-time, by the platform from the input source data in the first sector of the computer-readable media, data to be propagated;
d. storing in real-time, by the platform in a second sector of the computer-readable media, the data to be propagated;
e. parsing in real-time, by the platform, the data to be propagated into parsed data;
f. storing in real-time, by the platform in a fourth sector of the computer-readable media, the parsed data;
g. normalizing in real-time, by the platform, the parsed data into normalized data for efficient processing, said normalized data normalized into at least a first normal form;
h. storing in real-time, by the platform in a fifth sector of the computer-readable media, the normalized data;
i. segmenting in real-time, by the platform, the normalized data into segmented data by breaking the normalized data into a plurality of smaller packets for efficient data transmission;
j. storing in real-time, by the platform in a sixth sector of the computer-readable media, the segmented data;
k. validating in real-time, by the platform, the segmented data into validated data to ensure that the validated data satisfies defined formats and input criteria;
l. storing in real-time, by the platform in a seventh sector of the computer-readable media, the validated data;
m. enriching in real-time, by the platform, the validated data to enriched data that is corrected for any errors;
and
n. storing in real-time, by the platform in an eighth sector of the computer-readable media, the enriched data.

12 more elements

A method for propagating data across multiple systems via a private network to avoid repetitive data entry by a user, the method comprising the steps of:

a. receiving, by a platform from a data source, input source data;
b. storing, by the platform in a first sector of computer-readable media, the input source data;
c. extracting in real-time, by the platform from the input source data in the first sector of the computer-readable media, data to be propagated;
d. storing in real-time, by the platform in a second sector of the computer-readable media, the data to be propagated;
e. parsing in real-time, by the platform, the data to be propagated into parsed data;
f. storing in real-time, by the platform in a fourth sector of the computer-readable media, the parsed data;
g. normalizing in real-time, by the platform, the parsed data into normalized data for efficient processing, said normalized data normalized into at least a first normal form;
h. storing in real-time, by the platform in a fifth sector of the computer-readable media, the normalized data;
i. segmenting in real-time, by the platform, the normalized data into segmented data by breaking the normalized data into a plurality of smaller packets for efficient data transmission;
j. storing in real-time, by the platform in a sixth sector of the computer-readable media, the segmented data;
k. validating in real-time, by the platform, the segmented data into validated data to ensure that the validated data satisfies defined formats and input criteria;
l. storing in real-time, by the platform in a seventh sector of the computer-readable media, the validated data;
m. generating in real-time, by the platform, a recommendation of at least one additional target in which the validated data may be stored;
n. storing in real-time, by the platform in an eighth sector of the computer-readable media, the recommendation of said at least one additional target in which the enriched data may be stored;
o. transmitting in real-time, by the platform over the private network, the recommendation;
and
p. storing, by the platform, the enriched data in the at least one additional target if approved.

14 more elements

Dependencies are inferred from the claim text.

Facts

Application: 17/533,351Filed 23 Nov 2021 · continuation
Priority: 4 Mar 2020
Published: US 2022/0086250 A117 Mar 2022
Granted: 13 Dec 2022
Term ends: Not estimatedThe source records don’t support an estimate.

Classification11 codes

H04L 67/10
Protocols: in which an application is distributed across nodes in the network
G06F 8/453
Exploiting coarse grain parallelism in compilation, i.e. parallelism between groups of instructions: data distribution
G06N 5/04
Computing arrangements using knowledge-based models: inference or reasoning models
H04L 67/1097
In which an application is distributed across nodes in the network: for distributed storage of data in networks, e.g. transport arrangements for…

Family

Application16/808,856Parent of this continuation · filed 4 Mar 2020
Application17/087,833Parent of this continuation · filed 3 Nov 2020
US 10,917,491 B1Parent of this continuation · filed 9 Feb 2021
US 2022/0086250 A1Pre-grant publication · published 17 Mar 2022
US 11,252,249 B2Parent of this continuation
US 2021/0281655 A1Published application
US 11,528,341 B2This patent

From the US filing history. Foreign family members aren’t listed.