SERVICE HEALTH ASSESSMENT
    11.
    发明公开

    公开(公告)号:US20240283719A1

    公开(公告)日:2024-08-22

    申请号:US18112416

    申请日:2023-02-21

    Applicant: Kyndryl, Inc.

    CPC classification number: H04L43/0817 H04L43/02

    Abstract: A computer-implemented method, in accordance with one embodiment, includes receiving a taxonomy specifying entities of a business service and levels of said entities. Time series data about the entities is collected and stored. Impactor propagation paths between entities is identified. A territory of a health impact of each entity is also identified. A health score for each of the entities, considering impacts on a health of the entity by at least one other entity, is computed based on the data, the propagation paths, and the territories of the entities. At least one of the health scores is output.

    GENERATION OF DATA VISUALIZATIONS ON A SINGLE VISUAL REPRESENTATION

    公开(公告)号:US20240233216A9

    公开(公告)日:2024-07-11

    申请号:US17973281

    申请日:2022-10-25

    Applicant: Kyndryl, Inc.

    CPC classification number: G06T11/206 G06F8/77 G06F16/26 G06T11/001

    Abstract: A computer-implemented method, in accordance with one embodiment, includes collecting data relating to development of a software product, the collected data including a plurality of different types of data relating to the development of the software product. A portion of the collected data is selected based on a characteristic of an intended user, the portion of the collected data including a plurality of the types of data. The selected portion of the collected data is transformed into data visualizations representing the data, the different types of the data having different data visualizations relative to one another. The data visualizations are output in a single visual representation for display to the intended user.

    Effective text parsing using machine learning

    公开(公告)号:US11574121B2

    公开(公告)日:2023-02-07

    申请号:US17156864

    申请日:2021-01-25

    Applicant: Kyndryl, Inc.

    Abstract: Techniques for data evaluation using machine learning are provided. A textual document is received, and the textual document is parsed using a recurrent neural network (RNN) to extract a plurality of keywords. A first subset of keywords which are known by a user and a second subset of keywords which are unknown by the user are each identified. A summary of the textual document is generated based on the second subset of keywords. The summary is output, comprising: outputting information related to a first keyword of the second subset of keywords and, upon determining that the first keyword is understood by the user, outputting information related to a second keyword of the second subset of keywords.

    INTELLIGENT LOGGING AND AUTOMATED CODE DOCUMENTATION

    公开(公告)号:US20230031997A1

    公开(公告)日:2023-02-02

    申请号:US17388069

    申请日:2021-07-29

    Applicant: Kyndryl, Inc.

    Abstract: Methods, computer program products, and/or systems are provided that perform the following operations: reading lines of code included in a collection of source code; identifying an assigned tag in the collection of source code; identifying a start tag location and an end tag location associated with the assigned tag, wherein the lines of code included between the start tag location and the end tag location identify a code block; processing the code block to generate logging data for the code block based, at least in part, on the assigned tag; and providing the logging data for linking to executable byte code compiled from the collection of source code, wherein the logging data is used to log code data relating to the code block during execution of the executable byte code.

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