United Services Automobile Association (usaa)

Kevin Kenneth Fiedler

Michael Jay Szentes

Michael Justin Cairns

David Patrick Dixon

John Raymond Harris

Joshua Samuel Leonard

David Alexander Lilley

Yuibi Fujimoto

Robert Bruno Pace, Jr

Amanda Shannon Danko

Don M Livesay

Arthur Quentin Smith

Michael Wayne Lester

Andrew Jerome Gabriel Higgins

Bradly Jay Billman

Nolan Serrao

Michael Joseph Gaeta

Joel S Hartshorn

David M Jones, Jr

Jennifer Hunt Erickson

Subhalakshmi Selvam

Bharat Prasad

Charles Lee Oakes, Iii

Thomas Bret Buckingham

Vijay Jayapalan

Maland Keith Mortensen

Carlos Jp Chavez

Jeffrey William Gallagher

Justin Leggett

Salvador J Rodriguez

Dale Alan Wagner-Krankel

James Stephan Harrison

Evgenia Voskresenskaya Strudell

Robert K Dibble

Bryan Hall

Steve D Zettner

Kennith Patterson

Viktor Darrell Danelius

A damage assessment system includes one or more processors and memory storing instructions executable by the one or more processors to cause the one or more processors to receive IOT data from one or more IOT devices at a property. The instructions are executable by the one or more processors to cause the one or more processors to analyze the IOT data to identify missing data that is expected to be received from the one or more IOT devices at the property, generate constructed data to remedy the missing data based on the IOT data using machine learning algorithms, determine characteristics of damage present at the property based on the IOT data and the constructed data, and output a damage assessment report to indicate the characteristics of the damage present at the property.

Damage assessment systems and methods

The present application generally relates to a non-fungible token management system that manages transactions involving non-fungible tokens. In an embodiment, the non-fungible token management system may generate insurance policies for non-fungible tokens. The insurance policy can be based on storage risks of non-fungible token associated content. For example, the associated content may include digital data stored outside of a distributed ledger.

Non-fungible token transaction management systems and methods

A method for detecting a fraud attempt in a communication session may include receiving, via at least one processor, a set of data associated with a communication session between a representative of an organization and a user, tagging, via the at least one processor, one or more items of the set of data as one or more tagged data items, applying, via the at least one processor, a fraud detecting algorithm to the one or more tagged data items to determine a percent likelihood of the user attempting to defraud the representative, generating, via the at least one processor, a visualization based on the percent likelihood, and displaying, via the at least one processor, the visualization via an electronic display during the communication session.

Systems and methods for detecting fraudulent requests on client accounts

A system may include a communication device that may enable a user to complete a digital form via a first communication session. The system may include a processor that may determine that the user has not completed the digital form, determine one or more issues associated with the user not completing the digital form based on a progress point associated with the digital form, determine a communication channel to use to follow up with the user regarding the digital form based on a data profile associated with the user, the one or more issues, or both, and establish a second communication session with the user via the communication channel to present the digital form at the progress point, such that the user can continue to complete the digital form using the second communication session.

Systems and methods for reestablishing communication to resume a process based on inferred intent

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving an indication that a vehicle has been in a collision. Receiving vehicle information system (VIS) data from a VIS associated with the vehicle. Determining a component damage probability (CDP) for each of a plurality of components of the vehicle based on the VIS data. Determining estimated costs to replace components having respective CDPs above a threshold value. Providing an estimated total repair cost for the vehicle to a user computing device.

Vehicle damage estimation

Methods and systems described in this disclosure receive a call from a device associated with a caller and request an indication of a context of the call. The system can send a request for authentication credentials in a push notification to the device. The push notification can be linked to an authentication tab or page in an application. After authentication of the caller, the system can direct the application to cause a tab or page associated with the subject matter of the call to be displayed on the qualified device.

Methods and systems for transferring call context

Methods and systems described in this disclosure receive a call from a caller, generate a first session through a first channel associated with the caller when the call is received and then send a request for authentication credentials to a device associated with the caller. In some embodiments, sending the request for authentication credentials generates a second session through a second channel associated with the caller. The caller can be authenticated to the first session using communication received during the second session through the second channel.

Systems and methods for authenticating a caller

A method includes collecting sensor data from a sensor associated with a vehicle, storing the sensor data in a buffer associated with the sensor, wherein the buffer stores an amount of buffer data, analyzing the sensor data for a proximate event trigger. When the proximate event trigger is not detected, the method includes purging a portion of the sensor data exceeding the amount of buffer data. When the proximate event trigger is detected, the method includes stopping the purging of any of the sensor data and storing the sensor data of the buffer and the sensor data associated with the proximate event trigger and sending the sensor data of the buffer and the sensor data associated with the proximate event trigger to a server.

Systems and methods for proximate event capture

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving first voice data from a user, receiving behavior data associated with the user, and determining that the user is authentic at least partially based on voice recognition of the first voice data, and behavior analysis of the behavior data, and subsequently: prompting one or more spoken commands from the user, receiving second voice data representative of at least one spoken command of the user to trade at least one financial instrument, providing trade data for executing the trade of the at least one financial instrument, and determining that the trade data is valid at least partially based on the second voice data, and in response, initiating execution of the trade.

Using voice biometrics for trade of financial instruments

Techniques are described for routing service requests in a service environment. Received requests received may be analyzed to determine characteristics of each request, including a category of the request, a difficulty of the request, and the individual who submitted the request. A list of pending requests may be presented in a user interface (UI) according to a hierarchical set of filters. A service representative (SR) may select a pending request to handle and, in response, a service session may be initiated between the SR and the individual who submitted the request. Each request may be assigned a point value according to a set of configurable rules, e.g., based on the difficulty of the request, the amount of time it has been pending in the queue of requests, and/or other characteristics. The point value of the request may be added to a score of the SR who handles the request.

Pull-based routing for service sessions

Growing community of inventors

Boerne, TX, United States of America

Kevin Kenneth Fiedler