Wells Fargo Bank, N.a.

John C Brenner

Teresa Lynn Rench

Tambra Nichols

Jonathan Austin Hartsell

Gwendoria M Salley

Christopher James Williams

Tyua Larsen Fraser

Daniel Gracey

Jefferson Crew

Scott Welz

Matthew J Kaufman

Mark Lee Tabor

James Dalton Cahill

Chad Allen Yarbrough

Zar John Toolan

Darrell Todd Slawson

Melissa Leisse

Miguel A Ruiz

Jeniffer R Justice

Zachary Scott Miinch

Richard Randolph Crowder

Various examples described herein are directed to systems and methods for managing an interface between a user and a user computing device. The user computing device may determine that an audio sensor in communication with the user computing device indicates a first command in a user voice of the user, where the first command instructs the user computing device to perform a first task. The user computing device may determine that the audio sensor also indicates a first ambient voice different than the user voice and match the first ambient voice to a first known voice. The user computing device may determine that a second computing device associated with the first known voice is within a threshold distance of the user computing device and select a first privacy level for the first task based at least in part on the first known voice.

Input/output privacy tool

Various examples described herein are directed to systems and methods for providing a user interface at a plurality of computing devices. A first interface application executing at a first computing device may determine a first state for a user interface. The first interface application may detect a set of user computing devices for providing the user interface to a user and select a second computing device that is in the set of user computing devices based at least in part on the first state of the user interface. The first interface application may send a description of the user interface to the second computing device.

Multi-device interface application

A system includes at least one hardware processor and a memory storing instructions that, when executed by the at least one hardware processor, cause the at least one hardware processor to perform operations including receiving consumption data associated with a user consuming content on one or more user computing devices, determining a preference associated with content consumption of the user based on the received consumption data, the preference including one or more of a delivery time, a computing device of the one or more user computing devices, and a venue, receiving a new content item, determining one or more of a target delivery time, a target computing device of the one or more user computing devices, and a target venue based on the determined preference, and transmitting the new content item to the target computing device for presentation to the user.

Systems and methods for content delivery

A computer-implemented method may include retrieving, using at least one processor, a goal associated with a user from a user profile; generating, using the at least one processor, based in part on contextual information associated with the user, a plurality of metrics for the goal; based on the plurality of metrics and using the at least one processor, generating an action recommendation with respect to completion of the goal; and presenting the action recommendation to a user device of the user.

Dynamic electronic notifications based on contextual data

A system includes at least one hardware processor and a memory storing instructions that, when executed by the at least one hardware processor, cause the at least one hardware processor to perform operations including receiving an initiation message associated with a collaboration event between a first user and a second user, the collaboration event is initiated by the first user, determining a target device from a pool of computing devices associated with the second user based on usage history of each computing device in the pool of computing devices, initiating a collaboration session with the second user via the target device, and presenting collaborative content to the second user via the target device during the collaboration session.

Systems and methods for optimizing information collaboration

Systems and techniques for interest matched interaction initialization are described herein. A first set of profile attributes for a first user and second set of profile attributes for a second user may be obtained. A first set of data sources and a second set of data sources may be identified respectively using the first set and second set of profile attributes. A first dataset and a second dataset may be collected respectively using the first and second set of data sources. An interest vector model may be generated using data elements of the first dataset based on an interest identified in the first dataset. The second dataset may be evaluated using the interest vector model to identify the interest as a shared interest in the second dataset. An interaction initialization item may be generated by identifying content associated with the shared interest. The interaction initialization item may be transmitted to a device.

Interest matched interaction initialization

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Chesterfield, MO, United States of America

John C Brenner