Heuristic credit risk assessment engine

    公开(公告)号:US10769722B1

    公开(公告)日:2020-09-08

    申请号:US15495621

    申请日:2017-04-24

    Abstract: A heuristic engine includes capabilities to collect an unstructured data set and a current business context to calculate a credit worthiness score. Providing a heuristic algorithm, executing within the engine, with the data set and the context may allow determination of predicted future contexts and recommend subsequent actions, such as assessing a credit risk of a customer transaction and reducing the risk of customer transactions by processing the available data. Such heuristic algorithms may learn from past data transactions and appropriate correlations with events and available data.

    Systems and methods regarding 2D image and 3D image ensemble prediction models

    公开(公告)号:US10366300B1

    公开(公告)日:2019-07-30

    申请号:US16269226

    申请日:2019-02-06

    Abstract: Systems and methods are described for generating an enhanced prediction from a 2D and 3D image-based ensemble model. In various embodiments, a computing device can be configured to obtain one or more sets of 2D and 3D images and to standardize each of the 2D and 3D images to allow for comparison and interoperability. Corresponding 2D3D image pairs can be determined from the standardized 2D and 3D pairs where the 2D and 3D images correspond based on a common attribute, such as a similar timestamp or time value. The enhanced prediction can use separate underlying 2D and 3D prediction models where the 2D and 3D images of a 2D3D pair are each input to the respective underlying 2D and 3D prediction models to generate respective 2D and 3D predict actions.

    Heuristic credit risk assessment engine

    公开(公告)号:US11544783B1

    公开(公告)日:2023-01-03

    申请号:US16986132

    申请日:2020-08-05

    Abstract: A heuristic engine includes capabilities to collect an unstructured data set and a current business context to calculate a credit worthiness score. Providing a heuristic algorithm, executing within the engine, with the data set and the context may allow determination of predicted future contexts and recommend subsequent actions, such as assessing a credit risk of a customer transaction and reducing the risk of customer transactions by processing the available data. Such heuristic algorithms may learn from past data transactions and appropriate correlations with events and available data.

    NATURAL LANGUAGE VIRTUAL ASSISTANT
    28.
    发明申请

    公开(公告)号:US20210357771A1

    公开(公告)日:2021-11-18

    申请号:US15495594

    申请日:2017-04-24

    Abstract: A heuristic engine includes capabilities to collect an unstructured data set, for example including question and answer sets from prior customer interactions, and predict future questions based on a current customer context. Such heuristic algorithms may learn from past data transactions and appropriate correlations with events and available data. By improving the heuristic algorithm with growing sets of question and answer interactions, the accuracy of question and answer set predictions may improve over time, allowing improved customer service and understanding of customer interaction outcomes.

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