Parallelized Exception Handling for Large Datasets

    公开(公告)号:US20250045138A1

    公开(公告)日:2025-02-06

    申请号:US18228108

    申请日:2023-07-31

    Abstract: Example embodiments relate to parallelized exception handling for large datasets. One example embodiment includes a method. The method includes retrieving one or more sets of entries to be analyzed. The method also includes selecting an available computing resource. In addition, the method includes causing the available computing resource to perform an analysis of each entry within the respective set of entries to identify previously defined exceptions. Further, the method includes causing, for each entry within the respective set of entries, a list of exceptions associated with the respective entry to be created or updated based on the analysis. Additionally, the method includes causing, for each entry within the respective set of entries, metadata associated with the respective entry to be updated when the list of exceptions associated with the respective entry indicates that no exceptions are associated with the respective entry.

    SYSTEMS AND METHODS FOR ENABLING WIDGET CUSTOMIZATION VIA EXTENSION POINTS

    公开(公告)号:US20200210210A1

    公开(公告)日:2020-07-02

    申请号:US16232762

    申请日:2018-12-26

    Abstract: The present approach relates to updating a customer-extended application in such a manner that customer extensions of certain widgets in the application are preserved thorough the update. A cloud-computing system may facilitate customer extension of a widget of an initial version of the application by providing a first subset of script associated with one or more extension point hooks, such that the first subset of the script may receive customer script to extend the widget. In this manner, customers may extend aspects of the widget by modifying the script via the one or more extension point hooks to cater those extensible widgets to specific customer needs in a manner that can be maintained as updates occur over time, which may allow the customer to save time and resources that would otherwise be consumed by modifying the application after the enterprise upgrades the application.

    Orchestration for Robotic Process Automation

    公开(公告)号:US20240264815A1

    公开(公告)日:2024-08-08

    申请号:US18638296

    申请日:2024-04-17

    CPC classification number: G06F8/60 G06F9/451

    Abstract: An example embodiment may involve persistent storage containing definitions of (i) assignments of bots to endpoints, (ii) software packages for execution by the bots, (iii) schedules for the bots to execute the software packages, and (iv) processes that associate the bots with the software packages and the schedules. This embodiment may also involve processors configured to: receive, from a computing device, a request for bot deployment, wherein the computing device includes a bot runtime; identify, in the processes, a bot assigned to an endpoint that is associated with the computing device, wherein the bot is associated with a software package and a schedule; and transmit, to the computing device, data including a representation of the bot, a copy of the software package, and a copy of the schedule, wherein reception of the data causes the bot to execute, using the bot runtime, the software package in accordance with the schedule.

    Orchestration for Robotic Process Automation

    公开(公告)号:US20230409304A1

    公开(公告)日:2023-12-21

    申请号:US17845270

    申请日:2022-06-21

    CPC classification number: G06F8/60 G06F9/451

    Abstract: An example embodiment may involve persistent storage containing definitions of (i) assignments of bots to endpoints, (ii) software packages for execution by the bots, (iii) schedules for the bots to execute the software packages, and (iv) processes that associate the bots with the software packages and the schedules. This embodiment may also involve processors configured to: receive, from a computing device, a request for bot deployment, wherein the computing device includes a bot runtime; identify, in the processes, a bot assigned to an endpoint that is associated with the computing device, wherein the bot is associated with a software package and a schedule; and transmit, to the computing device, data including a representation of the bot, a copy of the software package, and a copy of the schedule, wherein reception of the data causes the bot to execute, using the bot runtime, the software package in accordance with the schedule.

    Orchestration for robotic process automation

    公开(公告)号:US11989538B2

    公开(公告)日:2024-05-21

    申请号:US17845270

    申请日:2022-06-21

    CPC classification number: G06F8/60 G06F9/451

    Abstract: An example embodiment may involve persistent storage containing definitions of (i) assignments of bots to endpoints, (ii) software packages for execution by the bots, (iii) schedules for the bots to execute the software packages, and (iv) processes that associate the bots with the software packages and the schedules. This embodiment may also involve processors configured to: receive, from a computing device, a request for bot deployment, wherein the computing device includes a bot runtime; identify, in the processes, a bot assigned to an endpoint that is associated with the computing device, wherein the bot is associated with a software package and a schedule; and transmit, to the computing device, data including a representation of the bot, a copy of the software package, and a copy of the schedule, wherein reception of the data causes the bot to execute, using the bot runtime, the software package in accordance with the schedule.

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