Targeted alerts for food product recalls

    公开(公告)号:US11625726B2

    公开(公告)日:2023-04-11

    申请号:US16448446

    申请日:2019-06-21

    摘要: A system and associated method may utilize a processor that receives recall product instance group (RPIG) information (RPIGI) identifying a set of instances of products having a product type identifier (PTI) that are a subject of a product recall. The processor receives, from an imaging device associated with a user, an image containing a product instance. The method further comprises applying a classifier and determining a PTI. Based on the image, secondary product information is also identified. These may be compared with the RPIGI to determine a product instance membership. Information related to the product instance membership in the RPIG may be displayed.

    Identifying systems where a policy as a code is applicable

    公开(公告)号:US11075954B2

    公开(公告)日:2021-07-27

    申请号:US16146600

    申请日:2018-09-28

    摘要: Techniques regarding identifying one or more systems where a policy as a code can be applicable are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a matching component, operatively coupled to the processor, that can determine whether a policy as a code is enforceable on a computing entity based on a comparison of a plurality of commands executed on the computing entity and a plurality of actions extracted from the code.

    ML-BASED EVENT HANDLING
    10.
    发明申请

    公开(公告)号:US20210133622A1

    公开(公告)日:2021-05-06

    申请号:US16670748

    申请日:2019-10-31

    IPC分类号: G06N20/00 G06F16/25 G06N5/02

    摘要: The invention relates to a computer-implemented method for processing events. The method provides a database comprising original event objects stored in association with canonical event objects. The method executes a learning algorithm on the associated original and canonical event objects for generating a trained ML program adapted to transform an original event object of any one of the one or more original data formats into a canonical event object having the canonical data format and uses the trained machine learning program for automatically transforming original event objects generated by an active IT-monitoring system into canonical event objects processable by an event handling system.