SYSTEMS AND METHODS FOR COORDINATING THE DEPLOYMENT OF COMPONENTS TO DEFINED USER GROUPS

    公开(公告)号:US20220374225A1

    公开(公告)日:2022-11-24

    申请号:US17880362

    申请日:2022-08-03

    Abstract: Systems and methods are provided for coordinating the deployment of frontend assets to defined user groups. Individual groups of users may be assigned to a track comprising a set of frontend assets. Each set of frontend assets may comprise each of the individual components required to generate an entire frontend for an application. In some embodiments, different versions of a single component may be assigned within different tracks. As such, one set of users may be provided a first version of an application and a second set of users may be provided a second version of that application. By associating a new or updated version of a component to a given track, a new or updated version of a component not yet ready for widespread deployment may be provided to only a limited number of users.

    Security system and method
    8.
    发明授权

    公开(公告)号:US11301561B2

    公开(公告)日:2022-04-12

    申请号:US16245671

    申请日:2019-01-11

    Abstract: A method performed by one or more processors, and an apparatus is disclosed. The method may comprise identifying a request from a custom computer program within a sandbox to perform an operation not permitted within the sandbox, and receiving a first indication of security privileges associated with a provider of the custom computer program. The method may also comprise selectively causing the operation to be performed based on the first indication of security privileges.

    USER INTERFACE BASED VARIABLE MACHINE MODELING

    公开(公告)号:US20210255745A1

    公开(公告)日:2021-08-19

    申请号:US17162451

    申请日:2021-01-29

    Abstract: In various example embodiments, a comparative modeling system is configured to receive selections of a data set, a transform scheme, and one or more machine-learning algorithms. In response to a selection of the one or more machine-learning algorithms, the comparative modeling system determines parameters within the one or more machine-learning algorithms. The comparative modeling system generates a plurality of models for the one or more machine-learning algorithms, determines comparison metric values for the plurality of models, and causes presentation of the comparison metric values for the plurality of models.

    Composite graphical interface with shareable data-objects

    公开(公告)号:US11086640B2

    公开(公告)日:2021-08-10

    申请号:US16444286

    申请日:2019-06-18

    Abstract: Aspects of the present disclosure involve receiving references to application data of applications hosted by the servers. The application data includes information defining an interface of the application (e.g., a set of interface elements), and data types associated with the application. As a part of the process for generating a composite graphical user interface (GUI), the composite interface system receives references to application data of one or more applications at various memory locations (e.g., at both local and third-party servers). In this way, the composite interface system accesses the application data of any referenced application in order to retrieve application data to configure a composite GUI which includes interface elements of each of the referenced application.

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