APPLICATION OF TRAINED ARTIFICIAL INTELLIGENCE PROCESSES TO ENCRYPTED DATA WITHIN A DISTRIBUTED COMPUTING ENVIRONMENT

    公开(公告)号:US20220075878A1

    公开(公告)日:2022-03-10

    申请号:US17062805

    申请日:2020-10-05

    摘要: The disclosed embodiments include computer-implemented processes that predict a credit score for a customer in real-time based on an application of a trained machine-learning or artificial-intelligence process to encrypted event data at a third-party computing cluster. For example, an apparatus may transmit encrypted event data to a third-party computing system. The third-party computing system may apply a trained artificial intelligence process to encrypted feature data that includes the encrypted event data, and the apparatus may receive, from the third-party computing system, encrypted output data representative of a predicted credit score during at least one temporal interval. The apparatus may decrypt the encrypted output data using a homomorphic decryption key, and transmit a notification that includes the decrypted output data to a device. An application program executed at the device may present a graphical representation of at least a portion of the decrypted output data within a digital interface.

    APPLICATION OF TRAINED ARTIFICIAL INTELLIGENCE PROCESSES TO ENCRYPTED DATA WITHIN A DISTRIBUTED COMPUTING ENVIRONMENT

    公开(公告)号:US20230418956A1

    公开(公告)日:2023-12-28

    申请号:US18367374

    申请日:2023-09-12

    摘要: The disclosed embodiments include computer-implemented processes that predict a credit score for a customer in real-time based on an application of a trained machine-learning or artificial-intelligence process to encrypted event data at a third-party computing cluster. For example, an apparatus may transmit encrypted event data to a third-party computing system. The third-party computing system may apply a trained artificial intelligence process to encrypted feature data that includes the encrypted event data, and the apparatus may receive, from the third-party computing system, encrypted output data representative of a predicted credit score during at least one temporal interval. The apparatus may decrypt the encrypted output data using a homomorphic decryption key, and transmit a notification that includes the decrypted output data to a device. An application program executed at the device may present a graphical representation of at least a portion of the decrypted output data within a digital interface.