GENERATION OF DATA VISUALIZATIONS ON A SINGLE VISUAL REPRESENTATION

    公开(公告)号:US20240135608A1

    公开(公告)日:2024-04-25

    申请号:US17973281

    申请日:2022-10-24

    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:US20220237375A1

    公开(公告)日:2022-07-28

    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:US11630661B2

    公开(公告)日:2023-04-18

    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.

    DATA INSIGHTS USING CONTEXT DRIVEN LATERAL AI

    公开(公告)号:US20250036659A1

    公开(公告)日:2025-01-30

    申请号:US18361563

    申请日:2023-07-28

    Applicant: Kyndryl, Inc.

    Abstract: An approach is disclosed that receives a user activity from a user that is using a datastore visualization display. The display displays a first visualization pertaining to one or more datastores with the datastore visualization display provided at least in part by a context driven lateral artificial intelligence (CDLAI) engine. The received user activity is provided as input to the CDLAI to generate a second visualization that is displayed to the user at the datastore visualization display that is displayed to the user. Artificial intelligence (AI) models that are used by the CDLAI are then trained based on the received user activity. The training results in updates to the visualizations.

    Code change request management and human gate free deployment based on data collected from a development system

    公开(公告)号:US12182567B2

    公开(公告)日:2024-12-31

    申请号:US18122053

    申请日:2023-03-15

    Applicant: Kyndryl, Inc.

    Abstract: A computer-implemented method, in accordance with one aspect of the present invention, includes collecting data existing in a development system that relates to the code change request, in response to receiving a code change request to merge new code with existing code. Factors from the collected data are computed for assessing a risk of promoting the new code, the factors including at least: a developer information factor, a developer availability factor, and an environment health analysis factor. The factors are processed to compute a confidence score for the code change request. If the confidence score is in a first predefined range, the new code corresponding to the code change request is promoted for merging with the existing code, without human intervention. If the confidence score is in a second predefined range, an indication that human intervention is needed before promoting the code is output.

    SEGMENTING DATA ACCORDING TO DATA ACCESS PRIVILEGE GRANTS DURING STORAGE OF THE DATA IN A DATABASE

    公开(公告)号:US20240311504A1

    公开(公告)日:2024-09-19

    申请号:US18122036

    申请日:2023-03-15

    Applicant: Kyndryl, Inc.

    CPC classification number: G06F21/6227 G06F21/604 G06F2221/2113

    Abstract: A computer-implemented method, according to one embodiment, includes causing a trained artificial intelligence (AI) model to derive data access privilege grants before data is stored in a predetermined database, and segmenting the data according to the data access privilege grants during storage of the data in the predetermined database. Metadata that defines the data access privilege grants is stored with the segments of data. The method further includes receiving, from a first user device, a query requesting data stored in the predetermined database. At least some of the metadata is read to identify a segment of the data associated with a data access privilege grant associated with the query. The method further includes allowing the first user device to access the identified segment of data for fulfilling the query.

    Dynamic risk based analysis model

    公开(公告)号:US12235747B2

    公开(公告)日:2025-02-25

    申请号:US16987455

    申请日:2020-08-07

    Applicant: KYNDRYL, INC.

    Abstract: Embodiments of the present invention provide a computer system, a computer program product, and a method that comprises receiving and storing input data from at least two users; calculating a risk score for each identified risk in the received data based on priority risk factors affecting respectively identified risks; dynamically optimizing a risk analysis of the received input for multiple users within a user interface of a computing device by recalculating risk scores based on the received data and identified risks; and generating a notification for the user interface of the computing device based on the dynamic optimization of the risk analysis of the received input.

    CODE CHANGE REQUEST MANAGEMENT AND HUMAN GATE FREE DEPLOYMENT BASED ON DATA COLLECTED FROM A DEVELOPMENT SYSTEM

    公开(公告)号:US20240311146A1

    公开(公告)日:2024-09-19

    申请号:US18122053

    申请日:2023-03-15

    Applicant: Kyndryl, Inc.

    CPC classification number: G06F8/77 G06F8/72 G06F21/577 G06F2221/033

    Abstract: A computer-implemented method, in accordance with one aspect of the present invention, includes collecting data existing in a development system that relates to the code change request, in response to receiving a code change request to merge new code with existing code. Factors from the collected data are computed for assessing a risk of promoting the new code, the factors including at least: a developer information factor, a developer availability factor, and an environment health analysis factor. The factors are processed to compute a confidence score for the code change request. If the confidence score is in a first predefined range, the new code corresponding to the code change request is promoted for merging with the existing code, without human intervention. If the confidence score is in a second predefined range, an indication that human intervention is needed before promoting the code is output.

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