Capital One Services, LLC

Ramachandra Kancharla

Venu Kumar Nannapaneni

Sarvani Kare

Kevin Gleaton

Kaushik Vakharia

Martin W Dewey

Taylor Li

Yifan Guo

Benjamin Thomas Jones

Jorge Murillo

Kevin C Wylie

Deepak Kumar Soni

Manish Srivastava

Ada Musheyev

Susanne Edmunds

Kerry G Fulcher

SrinivasRao Alaparthi

Tony George

Daljeet Singh Sarna

Morgan Organt

Ganesh Kandula

David Shapiro

Timothy Haggerty

Pravin Nair

Priyank Chittaranjan Subhedar

Techniques for performing parallel processing jobs across regionally-distributed servers may include executing a requested job in parallel across two or more regional cloud-based servers, the status of parallel jobs may be locally monitored using respective local instances of a status-tracking database. The multiple instances may replicate modifications of one instance of the status database to other instances of the status database to synchronize the status of regional jobs. Replicating modifications across the respective regional instances of the status database facilitates the parallel executing of the jobs across regions while reducing or avoiding unrecoverable delays if the tasks/job hangs or otherwise fails.

Multi-region workflow management

In some implementations, a labeling device may determine a label value associated with a label of the document that is associated with a first application. The labeling device may generate a label map that includes an indication of a key-value pair associated with the label value. The labeling device may write, based on the key-value pair associated with the label value, the label value to one or more file properties associated with the document, or may add, based on the key-value pair associated with the label value, the label value as content associated with the document. The label value may persist with the document based on transferring the document from the first application to a second application.

Automated persistence of label information associated with a document

A first system may receive first data of a user associated with a first identifier and second data of the user associated with a second identifier that exclude user identifying information from a first and second data source, respectively. A key may be received from a second system that associates the first and second identifier with a common identifier generated to preserve user anonymity at the first system. The key may be used to generate aggregated data for the user that includes the first and second data and is associated with the common identifier. The aggregated data may be processed to determine the user as a candidate for an offer set. The common identifier for the user is included in a candidacy list for the offer set, and provided to the second system to facilitate request processing associated with the presentation of the offer set to candidate users.

Systems and methods for candidacy determinations and request processing while maintaining user data anonymity

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Glen Allen, VA, United States of America

Ramachandra Kancharla