United Services Automobile Association (Usaa)

Nikhil Dama

Oscar Guerra

Pooja Krishnaswamy

Megan Sarah Jennings

Donald Nathaniel Holloway, Iii

Dustin Bowen Bitter

Kristopher Williams

Ting Lu

Christopher Ryan Haberland

Simon Phillip Stolarczyk

Laura Frisbie Evans

Neetu Jain

Yibin Xu

Elena Marie Carrasco

Keegan Patrick Hayes

Jennifer Marie Chandler-Bradley

Christopher Edward Flores

A loss of a non-fungible token (NFT) may be determined. A search may be conducted to identify a digital twin of the NFT. If the digital twin of the NFT is found, a replacement NFT may be minted using the digital twin. Rights to the replacement NFT may be awarded to an owner. If the digital twin of the NFT is not found, a compensation for the owner of the NFT may be determined.

Systems and methods for insurance for NFTS and digital assets

A data sharing system may facilitate sharing of data with third party systems. In one example, the data sharing system can provide a graphical user interface that displays an available subset of user data for sharing. The available subset may be based on previously shared user data with the third party system. The third party system can provide a selection of data of interest within the available subset, and the selected data can be shared.

Systems and methods for sharing user data

A data management system may include a monitoring device comprising a sensor, a memory storing executable instructions, and a processor. The sensor may generate sensor data and transmits the sensor data to a third-party system. The processor may receive the sensor data from the third-party system and associate the sensor data with a user account. The user account may include additional sensor data from other monitoring devices and such that the sensor data together with the additional sensor data comprises aggregated sensor data. The processor may determine a risk value of the aggregated sensor data is greater than a risk threshold and flag the user account in response to determining the risk value of the sensor data is greater than the risk threshold. The processor may also transmit a signal indicative of the flagged user account to an application of a user device.

Systems and methods for managing data from third-party devices

A data sharing system may facilitate sharing of data with third party systems. The data sharing request can be identified as being a potential privacy risk. To reduce the potential privacy risk, in one example, requested user data can be modified prior to sharing. The modified user data can be shared with the third party system rather than sharing unmodified user data.

A parking availability predictor system provides a prediction of parking availability that meets a user's specified needs. When the user submits a query for parking availability, he can include desired parking criteria such as location, handicapped status, and desired time to begin parking. The system consults a parking occupancy model which gathers current and historical information about parking occupancy, including parking durations and durations of vacancies between occupancies. The model processes the gathered information into a statistical predictor of parking occupancy and vacancy. The system uses the predictor to predict when parking that meets the user's needs will become available. That prediction, including user-suitable parking locations along with the expected start of their vacancies, is then sent to the user in answer to his query.

Predicting parking availability

A non-fungible token (NFT) representing title to property may be received. A search of the title to the property may be conducted. A title confidence may be determined based on the search of the title to the property. A premium may be determined based on the title confidence. The premium may be redetermined based on changes to the title confidence.

Systems and methods for titles and title insurance for non-fungible tokens

A micro-hazard monitoring system detects and addresses micro-hazards in a user's environment. The system directs the user to traverse the environment, gathering mapping data for the space and objects found there. The system maps the user's environment, noting the locations and types of objects. Movement and wear simulations are performed on the mapped space advancing time to estimate the likelihood of damaging user/object interactions and the extents of any resulting damage, based on information in that map, the system notes potential problems and computes one or more micro-hazard scores reflecting the nature and severity of the potential problems. If a score so warrants, the system takes remedial action to address the micro-hazard, such as warning the user about the existence of the micro-hazard and potentially what to do about it and/or taking a direct action such as shutting off an electronic device.

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Apex, NC, United States of America

Nikhil Dama