DIGITAL FOOTPRINT FOR EMPLOYEE SAFETY
    1.
    发明公开

    公开(公告)号:US20240095634A1

    公开(公告)日:2024-03-21

    申请号:US17949011

    申请日:2022-09-20

    CPC classification number: G06Q10/0635 G06F11/327

    Abstract: An example operation may include one or more of ingesting data records from a plurality of external data sources via a plurality of API calls, generating a plurality of digital footprints for a plurality of users, respectively, which have access to a common finite space, wherein each digital footprint includes a respective health value of a respective user generated based on ingested data records of the user, identifying a user from among the plurality of users which is about to enter the common finite space, in response to identifying the user, determining a cumulative safety value for the common finite space based on the digital footprint of the identified user and a digital footprint of one or more other users already present within the common finite space, and transmitting an alert to a computing system based on the determined cumulative safety value for the common finite space.

    OBJECT DETECTION AND IDENTIFICATION
    2.
    发明申请

    公开(公告)号:US20200293820A1

    公开(公告)日:2020-09-17

    申请号:US16460286

    申请日:2019-07-02

    Abstract: An embodiment of the invention may include a method, computer program product and computer system for object detection and identification. The method, computer program product and computer system may include computing device which may receive an image from a user device. The image may be a screenshot captured by the user device from a display. The computing device may classify the image based on features present in the image and detect a salient object contained within the image. The computing device may identify the object in the image and one or more sources of the object in the image.

    CONTEXT-BASED QUESTION GENERATION FROM COMMUNICATION DATA

    公开(公告)号:US20240248918A1

    公开(公告)日:2024-07-25

    申请号:US18100731

    申请日:2023-01-24

    CPC classification number: G06F16/3329 G06F40/40

    Abstract: Systems and methods are provided to generate context-based questions from communications data. In embodiments, a method includes: determining, by a processor set, context of text under study obtained from digital communications data; generating, by the processor set, a text-based summary of the text under study using a natural language processing (NLP) tool to eliminate text from the text under study based on keywords of a dynamic knowledge base; constructing, by the processor set, a question phrase in sentence form based statements in the text under study, wherein the one or more statements constitute an answer to the question phrase; outputting, by the processor set, a question and answer set including the question phrase and the statements; and automatically updating, by the processor set, the dynamic knowledge base based on the question and answer set, thereby generating an updated dynamic knowledge base.

    Recommend routes in enhanced navigation system

    公开(公告)号:US11781878B2

    公开(公告)日:2023-10-10

    申请号:US17453524

    申请日:2021-11-04

    CPC classification number: G01C21/3484 G01C21/3492 G01C21/3617 G01C21/3676

    Abstract: An embodiment for recommending routes in an enhanced navigation system is provided. The embodiment may include receiving a destination from a primary user. The embodiment may also include obtaining a tentative list of routes. The embodiment may further include identifying each user and characteristics associated with each user. The embodiment may also include analyzing current conditions of the tentative list of routes and the characteristics. The embodiment may further include identifying one or more optimal routes. The embodiment may also include recommending the one or more optimal routes to the primary user. The embodiment may further include in response to determining the primary user selects an optimal route of the one or more optimal routes, presenting the selected optimal route on a navigation display to the primary user.

    RECOMMEND ROUTES IN ENHANCED NAVIGATION SYSTEM

    公开(公告)号:US20230138025A1

    公开(公告)日:2023-05-04

    申请号:US17453524

    申请日:2021-11-04

    Abstract: An embodiment for recommending routes in an enhanced navigation system is provided. The embodiment may include receiving a destination from a primary user. The embodiment may also include obtaining a tentative list of routes. The embodiment may further include identifying each user and characteristics associated with each user. The embodiment may also include analyzing current conditions of the tentative list of routes and the characteristics. The embodiment may further include identifying one or more optimal routes. The embodiment may also include recommending the one or more optimal routes to the primary user. The embodiment may further include in response to determining the primary user selects an optimal route of the one or more optimal routes, presenting the selected optimal route on a navigation display to the primary user.

    IDENTIFYING ARTIFICIAL INTELLIGENCE FOR INFORMATION TECHNOLOGY OPERATIONS SOLUTION FOR RESOLVING ISSUES

    公开(公告)号:US20250094131A1

    公开(公告)日:2025-03-20

    申请号:US18369685

    申请日:2023-09-18

    Abstract: Described are techniques for identifying an optimal AIOps solution for resolving issues. An alert to resolve a software development and/or information technology problem is routed to a secondary responder to handle after a primary responder failed to resolve the alert. Key performance indicators in handling the alert for both the primary and secondary responders may then determined. A determination is then made as to how the secondary responder performed in handling the alert in comparison to the primary responder based on the key performance indicators. The results of such a determination are stored as metadata. Furthermore, the matching portions of the runbooks used by the primary and secondary responders are identified and stored as metadata. The machine learning model is then trained to select the best runbook to be used by the secondary responder to handle future alerts based on the saved metadata and the metadata of the corresponding alerts.

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