Wells Fargo Bank, N.a.

Jefferson Crew

Daniel Gracey

Tyua Larsen Fraser

John C Brenner

Gwendoria M Salley

Scott Welz

Mark Lee Tabor

Matthew J Kaufman

Duke Lee Gunn, Jr

Lisa Rome

Paresh Mutha

Disclosed in some examples are methods, systems, and machine readable mediums which provide for customized alerts for a user. Alerts may be described by a set of alert parameters. Alert parameters include the type of alerts, the frequency of alerts, and the content of the alerts. While the alert parameters may initially be set based upon the users explicitly entered preferences, the system may monitor one or more indicators to dynamically adjust one or more of the alert parameters. As the indicators allow the automated portfolio management system to respond to the needs of a user, these alerts may increase the personalization of automated portfolio management systems.

Monitored alerts

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 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

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Columbia, MO, United States of America

Jefferson Crew