Capital One Services, LLC

Hao Liu

Peter Terrana

Rajesh Kanna Durairaj

Sangame Krishnamani

Ryan Hennigan

Shiju Madathil Samuel

Sunilkumar Kothi Reddy

Krista Rister

Christopher Spahis

Daniel W File

Dan File

Tyler Herron

Nityan Bhorde

Tanner Thornton

In some implementations, a device may categorize a set of accounts into a set of messaging segments, wherein each account, of the set of accounts, is associated with one or more messaging segments of the set of messaging segments, and wherein the set of messaging segments are applicable to multiple communication channels. The device may determine, for each messaging segment associated with the account, an account configuration that is based on a content configuration associated with that messaging segment and based on an engagement persona associated with the account. The device may transmit, via one or more communication channels included in the multiple communication channels, one or more communications for the account in accordance with the account configuration.

Segmentation and engagement based messaging

Aspects described herein allow for systems and methods to monitor production changes to resources in a cloud computing environment and determine whether those changes were performed in accordance with a change management policy. A change order monitoring application receives data from cloud computing audit logs to detect infrastructure changes and combines that data with application information to determine which application was affected. The change order monitoring application then uses a machine learning algorithm to cluster multiple change events together when it is likely that the change events were part of the same change. If cluster of change activity does not appear to be authorized, the change order monitoring application sends an alert to a change management team and an application team to get more information about the activity.

Change monitoring and detection for a cloud computing environment

In some implementations, a system may identify, based on an account status of an account, one or more phone numbers associated with the account. The system may determine a confidence score of each phone number, based on historical call data and one or more phone number attributes, a rank of the phone number(s) based on corresponding confidence scores, and a quality score for each phone number based on a relative comparison of confidence scores of phone numbers of at least a subset of a plurality of users. The system may determine a daily call schedule, which may include a total frequency to call the user, based on the account status, a phone number frequency to call each phone number, based on one or more conditions related to corresponding quality scores, and a call order in which to call each phone number, based on the rank of the phone number(s).

Managing outbound calling

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Reston, VA, United States of America

Hao Liu