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.

    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.

    Intelligent user centric design platform

    公开(公告)号:US11748063B2

    公开(公告)日:2023-09-05

    申请号:US17565802

    申请日:2021-12-30

    Applicant: Kyndryl, Inc.

    CPC classification number: G06F8/10 G06F8/22 G06N3/02 G06N7/01

    Abstract: An intelligent user centric design platform is provided. In implementations, a method includes: receiving, by a computing device, software design input from a user, the software design input including software domain information; sending, by the computing device, questions to the user selected from a database of predetermined questions based on the domain information; receiving, by the computing device, answers to the questions from the user, the answers including text information regarding design requirements of the user; determining, by the computing device, a proposed user-centric design (UCD) diagram by matching the answers to a stored UCD diagram in a repository using a supervised machine learning model; and presenting, by the computing device, the proposed UCD diagram in a user interface, wherein the user interface enables acceptance of the proposed UCD diagram or rejection of the proposed UCD diagram.

    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.

    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.

    SERVICE HEALTH ASSESSMENT
    8.
    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.

    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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