Adaptive Updating of Dynamically Changing Analytical Model

    公开(公告)号:US20240338475A1

    公开(公告)日:2024-10-10

    申请号:US18295596

    申请日:2023-04-04

    Applicant: SAP SE

    CPC classification number: G06F21/6227 G06F21/604

    Abstract: Embodiments provide systems and methods that update analytical models which are changing over time. Upon receipt of a model creation request, a synchronization is performed to receive updated metadata reflecting a current state of a model. Where such updating indicates a change in status (e.g., privacy) of the model metadata, the user is prompted with a sensitive metadata field, and an empty context metadata field. The user must fill in the context metadata field (e.g., with an appropriate ID) thereby providing authorization to access data of the model. Then, a model view including sensitive information can be passed to the user. Absent successfully inputting the context metadata field, error message(s) are returned to the user, and the model view will not be passed. Embodiments may find particular use in efficiently updating analytical models to ensure their continuing compliance with evolving privacy regulation (e.g., ongoing revision and/or interpretation of GDPR language).

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