Intelligent processing engine for acquisition, storage, and subsequent refresh of data from a distributed network

Patent metadata

Field	Value
Publication number	US-12450223-B2
Application number	US-202318093886-A
Country	US
Kind code	B2
Filing date	Jan 6, 2023
Priority date	Jan 6, 2023
Publication date	Oct 21, 2025
Grant date	Oct 21, 2025

Abstract

Systems, computer program products, and methods are described herein for an intelligent processing engine for acquisition, storage, and subsequent refresh of data from a distributed network. The present invention is configured to receive, from one or more distributed computing systems, an enterprise dataset; convert the enterprise dataset to a standardized format; store the enterprise dataset in one or more storage locations based on a characteristic of the enterprise dataset; provide the one or more distributed computing systems with remote access to the one or more storage locations; monitor, via an artificial intelligence engine, usage data from the one or more distributed computing systems, wherein the usage data is associated with remote access of the one or more storage locations; generate, via the artificial intelligence engine, a use score associated with the one or more storage locations; and automatically refresh the one or more storage locations based on the use score.

First claim

What is claimed is:

1. A method for intelligent processing of distributed data, the method comprising:
receiving, from one or more distributed computing systems, an enterprise dataset, wherein the enterprise dataset comprises at least one of a product review and a product rating;
converting the enterprise dataset to a standardized format;
storing the enterprise dataset in one or more storage locations based on a characteristic of the enterprise dataset and an output of a first artificial intelligence engine, wherein the characteristic of the enterprise dataset comprises at least one of a product category and a data source category and wherein each of the one or more storage locations is associated with a unique end-point device;
generating, via a second artificial intelligence engine, a use score associated with the one or more storage locations, wherein the use score is based on at least an access frequency and an access duration of the one or more storage locations; and
automatically refreshing the one or more storage locations based on determining that the use score exceeds a predetermined threshold value.

2. The method of claim 1 , wherein receiving, from the one or more distributed computing systems, the enterprise dataset further comprises querying the one or more distributed computing systems based on an output of the second artificial intelligence engine.

3. The method of claim 1 , wherein converting the enterprise dataset to a standardized data format further comprises identifying one or more data subsets contained within the enterprise dataset and using the first artificial intelligence engine to assign the one or more data subsets to one or more data categories and wherein the method further comprises:
storing the enterprise datasets in the one or more storage locations based on the one or more data categories.

4. The method of claim 1 , wherein the method further comprises:
providing the one or more distributed computing systems with remote access to the one or more storage locations via a network; and
monitoring, via the second artificial intelligence engine, usage data from the one or more distributed computing systems, wherein the usage data is associated with remote access of the one or more storage locations.

5. A computer program product for intelligent processing of distributed data, the computer program product comprising a non-transitory computer-readable medium comprising code causing an apparatus to:
receive, from one or more distributed computing systems, an enterprise dataset, wherein the enterprise dataset comprises at least one of a product review and a product rating;
convert the enterprise dataset to a standardized format;
store the enterprise dataset in one or more storage locations based on a characteristic of the enterprise dataset and an output of a first artificial intelligence engine, wherein the characteristic of the enterprise dataset comprises at least one of a product category and a data source category and wherein each of the one or more storage locations is associated with a unique end-point device;
generate, via a second artificial intelligence engine, a use score associated with the one or more storage locations, wherein the use score is based on at least an access frequency and an access duration of the one or more storage locations; and
automatically refresh the one or more storage locations based on determining that the use score exceeds a predetermined threshold value.

6. The computer program product of claim 5 , wherein receiving, from the one or more distributed computing systems, the enterprise dataset further comprises querying the one or more distributed computing systems based on an output of the second artificial intelligence engine.

7. The computer program product of claim 5 , wherein converting the enterprise dataset to a standardized data format further comprises identifying one or more data subsets contained within the enterprise dataset and using the first artificial intelligence engine to assign the one or more data subsets to one or more data categories.

8. The computer program product of claim 7 , wherein the at least one processor is further configured to store the enterprise datasets in the one or more storage locations based on the one or more data categories.

9. The computer program product of claim 5 , wherein the apparatus is further configured to provide the one or more distributed computing systems with remote access to the one or more storage locations via a network.

10. The computer program product of claim 9 , wherein the apparatus is further configured to:
monitor, via the second artificial intelligence engine, usage data from the one or more distributed computing systems, wherein the usage data is associated with remote access of the one or more storage locations.

11. The computer program product of claim 10 , wherein the use score associated with the one or more storage locations is generated based on the usage data.

12. The computer program product of claim 5 , wherein automatically refreshing the one or more storage locations based on the use score further comprises increasing a refresh frequency based on a value of the use score.

13. A system for intelligent processing of distributed data, the system comprising:
at least one non-transitory storage device; and
at least one processor coupled to the at least one non-transitory storage device, wherein the at least one processor is configured to:
receive, from one or more distributed computing systems, an enterprise dataset, wherein the enterprise dataset comprises at least one of a product review and a product rating;
convert the enterprise dataset to a standardized format;
store the enterprise dataset in one or more storage locations based on a characteristic of the enterprise dataset and an output of a first artificial intelligence engine, wherein the characteristic of the enterprise dataset comprises at least one of a product category and a data source category and wherein each of the one or more storage locations is associated with a unique end-point device;
generate, via a second artificial intelligence engine, a use score associated with the one or more storage locations, wherein the use score is based on at least an access frequency and an access duration of the one or more storage locations; and
automatically refresh the one or more storage locations based on determining that the use score exceeds a predetermined threshold value.

14. The system of claim 13 , wherein receiving, from the one or more distributed computing systems, the enterprise dataset further comprises querying the one or more distributed computing systems based on an output of the second artificial intelligence engine.

15. The system of claim 13 , wherein converting the enterprise dataset to a standardized data format further comprises identifying one or more data subsets contained within the enterprise dataset and using the first artificial intelligence engine to assign the one or more data subsets to one or more data categories.

16. The system of claim 15 , wherein the at least one processor is further configured to store the enterprise datasets in the one or more storage locations based on the one or more data categories.

17. The system of claim 1 , wherein the at least one processor is further configured to provide the one or more distributed computing systems with remote access to the one or more storage locations via a network.

18. The system of claim 17 , wherein the at least one processor is further configured to:
monitor, via the s

Assignees

• Bank Of America

Inventors

• Horstman Michael G
• Bonda Ganesh
• Kurian Manu Jacob
• Varma Jayachandra

Classifications

• G06F16/285 Primary

  Clustering or classification · CPC title

• G06F16/258

  Data format conversion from or to a database · CPC title

• G06F11/3409

  for performance assessment · CPC title

• G06F16/2358 Primary

  Change logging, detection, and notification (replication G06F16/27) · CPC title