SEARCHING DATA REPOSITORIES USING PICTOGRAMS AND MACHINE LEARNING

    公开(公告)号:US20220398272A1

    公开(公告)日:2022-12-15

    申请号:US17348362

    申请日:2021-06-15

    Applicant: Kyndryl, Inc.

    Abstract: A pictogram repository is created of pictograms including expressions that are mapped to at least a portion of source code that is stored in a separate source code repository. A score is recorded for developers for the source code that is stored in the source code repository. A source code search inquiry of at least one pictograms for search query elements is conducted, in which the at least one pictogram for the search query elements are matched to the pictograms in the repository of pictograms that includes expressions that are mapped to at least a portion of source code that is stored in the separate source code repository. Matching source code have the score for their developer checked against a threshold value. Source code meeting the search query elements and having a score for their developer meeting the threshold value are retrieved.

    Multi-layered computing system attribute dependency

    公开(公告)号:US11269753B2

    公开(公告)日:2022-03-08

    申请号:US16866893

    申请日:2020-05-05

    Applicant: Kyndryl, Inc.

    Abstract: A method, computer program product, and a system where a processor(s) obtains, from a data source, a list of objects at different layers of a computing system. The processor(s) generates exploration lists from the list (each exploration list with objects for a layer). The processor(s) identifies updated and new data at the layers associated with the objects on the list; the identified data comprises attributes for each layer. The processor(s) applies machine learning algorithm(s) to enrich the data by identifying dependencies between the attributes for each layer as influencers for one or more key performance indicators of the computing system. The processor(s) generates, from the enriched data, a hierarchy matrix. The processor(s) determines, based on the hierarchy matrix that an event associated with one or more computing resources of the computing system will influence a particular key performance indicator.

    Reducing mean time to find problems in enterprise information technology systems using bots

    公开(公告)号:US11720810B2

    公开(公告)日:2023-08-08

    申请号:US16106053

    申请日:2018-08-21

    Applicant: Kyndryl, Inc.

    CPC classification number: G06N5/043 G06F16/2365 G06F16/283 G06N20/00

    Abstract: Embodiments describe an approach for leveraging Bots across various layers of an enterprise information technology system for reducing mean time to find problems (MTFP). The approach comprising: determining if one or more system Bots can identify one or more issues in an enterprise information technology system. Escalating the one or more issues to one or more process Bots. Invoking one or more MTFP computation engines from related Bots in communication with the one or more process Bots. Identifying the one or more issues in the enterprise information technology system by the one or more MTFP computation engines. Updating a knowledge repository with attributes of the identified one or more issues, wherein the one or more process Bots can cognitively learn from the data stored on the knowledge repository; and outputting the one or more identified issues to a user.

    COGNITIVE SELECTION OF COMPOSITE SERVICES
    4.
    发明公开

    公开(公告)号:US20230206088A1

    公开(公告)日:2023-06-29

    申请号:US17563113

    申请日:2021-12-28

    Applicant: KYNDRYL, INC.

    CPC classification number: G06N5/04

    Abstract: A method includes receiving training inputs related to technology use cases and associated services, training, by a cognitive integration engine a cognitive model from the received training inputs, receiving a demand for composite services from a customer including functional and/or non-functional requirements, determining, by the cognitive integration engine, a selection of composite services for the customer based on the cognitive model, and recommending the selection of composite services to the customer.

    Searching data repositories using pictograms and machine learning

    公开(公告)号:US11663256B2

    公开(公告)日:2023-05-30

    申请号:US17348362

    申请日:2021-06-15

    Applicant: Kyndryl, Inc.

    CPC classification number: G06F16/3346 G06F8/36 G06F16/383 G06F16/86 G06N20/00

    Abstract: A pictogram repository is created of pictograms including expressions that are mapped to at least a portion of source code that is stored in a separate source code repository. A score is recorded for developers for the source code that is stored in the source code repository. A source code search inquiry of at least one pictograms for search query elements is conducted, in which the at least one pictogram for the search query elements are matched to the pictograms in the repository of pictograms that includes expressions that are mapped to at least a portion of source code that is stored in the separate source code repository. Matching source code have the score for their developer checked against a threshold value. Source code meeting the search query elements and having a score for their developer meeting the threshold value are retrieved.

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