Wells Fargo Bank, N.a.

Gwendoria M Salley

Scott Welz

John C Brenner

Tyua Larsen Fraser

Daniel Gracey

Jefferson Crew

November Michelle Champion

Mark Lee Tabor

Spencer Holland Touchberry

Matthew J Kaufman

Corey Michael Nelson

Elizabeth Ingram

Rodney J Sayegh

Patrick Rodman

Chad Allen Yarbrough

James Dalton Cahill

Jeniffer R Justice

Zachary Scott Miinch

Disclosed in some examples are systems, machine readable mediums, and methods for providing a Full Balance Sheet Advisor (FBSA). The FBSA may be a network based service accessible to users using one or more computing devices. The FBSA may be accessed using a web-browser, or a dedicated FBSA application. The FBSA looks at the user's full balance sheet to provide advice on how the user can meet their financial goals.

Full balance sheet advisor

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 system and method are provided for obtaining and providing product information to a user. The method comprises creating, with a processor of a purchase evaluation system, a user profile comprising a plurality of purchasing decision factors with each having a respective weight. The method further comprises receiving a product identifier that identifies a product being considered for purchase by a user, and then building or retrieving, in real-time, a product profile based on the product identifier that contains a plurality of product factors corresponding to the purchasing decision factors, each of which contain a value representing a score of the product's relationship to the respective product factor. The method then evaluates the product based on a function that incorporates the purchasing decision factors and the product factors, and creates display data for displaying the identified product and the product evaluation on a display.

Augmented reality real-time product overlays using user interests

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

Various examples are directed to systems and methods for provisioning news items. A news provisioning application may apply user interest data to select a first news item from news data and determine that the first news item is negative for the first user based at least in part on the financial data. The news provisioning application may receive, from a first network-enabled device, physiological data describing a physiological condition of the first user at a first time and determine to provide the first news item to the first user based at least in part on the physiological data. The news provisioning application may send to a second network-enabled device, alert data instructing the second network-enabled device to modify the operation of the second network-enabled device to generate an alert indicating the first news item.

Provisioning news items

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Rock Hill, SC, United States of America

Gwendoria M Salley