Bank of America Corporation

Erin Cassell

Kerry Michelle Cantley

Shawn Cart Gunsolley

John J Towey, Jr

John W DeZervos

Lori G Noesges

Geoffrey Reed Williams

Carl Parziale

Jeffrey R Goertz

Deborah A Copes

Marshall Bright Thompson

Adam Nathaniel Desautels

David Jacob Feezor

Emily Brooke Gillespie

Siva Shankar Potla

Jeffrey Scott Poore

Eric Dryer

Embodiments of the invention include systems, methods, and computer-program products for archive validation and retention parameter determination for documents. The system may generate or receive image documents. Utilizing image quality and data storage metrics the system may trigger the purging and/or retention of documents in image and/or paper form. Furthermore, the system may identify a duration of storage, location of storage, and the like. Upon retention, the system may continually monitor the documents and store metadata associated with the use of the retained documents. This monitoring may identify a period for purging the document, efficiently allowing for physical or server space availability.

Archive validation system with data purge triggering

Embodiments of the invention include systems, methods, and computer-program products for a feedback loop for enhancing archive validation and retention parameter determination for documents. The system may generate or receive image documents. Utilizing image quality and data storage metrics the system may trigger the purging and/or retention of documents in image and/or paper form. Upon retention, the system may continually monitor the documents and store metadata associated with the use of the retained documents. Once the documents are purged, the system compiles historic data points associated with the image quality and data storage metrics. Furthermore, the system extracts the metadata associated with the monitoring of retained documents. These data points and metadata are reviewed to provide revisions in retention parameters for specific documents. A feedback loop directly communicates and integrates the revisions to the metric and criteria for instant integration.

Embodiments enable distributed data processing with automatic caching at multiple system levels by accessing a master queue of data processing work comprising a plurality of data processing jobs stored in a long term memory cache; selecting at least one of the plurality of data processing jobs from the master queue of data processing work; pushing the selected data processing jobs to an interface layer including (i) accessing the selected data processing jobs from the long term memory cache; and (ii) saving the selected data processing jobs in an interface layer cache of data processing work; and pushing at least a portion of the selected data processing jobs to a memory cache of a first user system for minimizing latency in user data processing of the pushed data processing jobs.

System for distributed data processing with automatic caching at various system levels

System for distributed data processing with auto-recovery

Systems, computer program products, and methods are described herein for routing data processing among different processing channels based on source-error probabilities. The present invention is configured to receive a data processing job comprising at least one data processing item; determine a first source of the at least one data processing item; determine a source error probability associated with the first source; and based on the determined source error probability, route the data processing item for data processing to an automated data processing network or a manual data processing network.

System for processing data using different processing channels based on source error probability

Embodiment for detecting duplicate images include systems for determining that two or more of the images have similar key attributes such as attributes related to certain data in the images or image quality. Further, the embodiments include superimposing at least a portion of a first image of the two or more images over at least a portion of the second image of the two or more images, comparing the first image and second image; and determining whether the first image and the second image are identical.

Image overlay for duplicate image detection

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Charlotte, NC, United States of America

Erin Cassell