Cognitive systematic review (CSR) for smarter cognitive solutions

    公开(公告)号:US11526788B2

    公开(公告)日:2022-12-13

    申请号:US16004597

    申请日:2018-06-11

    Applicant: Kyndryl, Inc.

    Abstract: An approach for determining a veracity of a reported event is provided. In an embodiment, a set of predictor variables is retrieved from a selected use case. Each of these predictor values is a condition that indicates the veracity of the reported event. In addition, a set of hidden predictor variables is generated from a set of unstructured documents related to the reported event using a hidden Markov model that is based on the predictor variables using a cognitive system. These hidden predictor variables are combined with the set of predictor variables to generate a set of updated predictor variables. These updated predictor variables are used by the cognitive system to return a determination of the veracity of the reported event.

    SMART READING ASSISTANT
    2.
    发明申请

    公开(公告)号:US20220165178A1

    公开(公告)日:2022-05-26

    申请号:US17102887

    申请日:2020-11-24

    Applicant: KYNDRYL, INC.

    Abstract: In an approach for a smart reading assistant that helps users learn to read a new language, a processor detects a language of a digital book opening by a user on a computing device. A processor identifies a user reading capability level for the language of the digital book from a user profile for the user. A processor inputs at least one in context meaning of potential unknown words based on the user reading capability level. A processor detects a user action by the user on the computing device. A processor updates the user reading capability level based on the user action. A processor identifies, using collocation extraction, related words to a word involved in the user action. A processor inputs at least one in context meaning of at least one of the related words.

    Analytics-driven direction for computer storage subsystem device behavior

    公开(公告)号:US11436145B1

    公开(公告)日:2022-09-06

    申请号:US17301290

    申请日:2021-03-30

    Applicant: KYNDRYL, INC.

    Abstract: A computer directs activity within a computer storage subsystem. The computer identifies a computer operating environment including a computer, and a storage subsystem connected to a group of storage devices. The compute receives metadata representing current and historic performance metrics of said computer operating environment. The computer identifies a first device associated with a first behavior profile governed by a power law distribution, and a second device associated with a second behavior profile governed by a normal distribution. The computer trains Machine Learning (ML) models based on the behavior profiles. The computer establishes Device Performance Rules based on the ML models. The computer forecasts time-based storage system requirements based, at least in part on the Device Performance Rules. The computer prefetches data to a cache component based, at least in part on said forecasted system requirements, in accordance with a time reference available to said computer.

    Network shutdown for cyber security

    公开(公告)号:US11546354B2

    公开(公告)日:2023-01-03

    申请号:US16695778

    申请日:2019-11-26

    Applicant: KYNDRYL, INC.

    Abstract: A method includes: determining, by a computer device, affinities between components in a networked computer system; determining, by the computer device, a risk level of each of the components; determining, by the computer device, a risk level of the networked computer system; detecting, by the computer device, a threat in the networked computer system; determining, by the computer device, an action based on the threat, the risk level of ones of the components affected by the threat, and the risk level of the system; and reconfiguring, by the computer device, the networked computer system based on the determined action.

    Application transition and transformation

    公开(公告)号:US12093684B2

    公开(公告)日:2024-09-17

    申请号:US17821288

    申请日:2022-08-22

    Applicant: KYNDRYL, INC.

    CPC classification number: G06F8/70 G06F8/20 G06F11/3612 G06N20/00

    Abstract: Application transition and transformation is provided by observing and analyzing execution of a monolithic application to provide properties of the data communication of the monolithic application, identifying, by an artificial intelligence engine, atomic application element(s) having logical functional block(s) that function independent of other atomic application element, determining, by the artificial intelligence engine, candidate atomic application element(s) for migrating out of the monolithic application and refactoring, based on automated testing and validation, refactoring at least one candidate atomic application element into a respective at least one refactored element, where the refactoring selects a platform technology for the refactored element and implements functionality of the candidate atomic application element as the refactored element of the selected platform technology, and providing the at least one refactored element to system(s) for execution thereon.

    Cognitive control plane for application consistent datasets

    公开(公告)号:US11620070B2

    公开(公告)日:2023-04-04

    申请号:US17169856

    申请日:2021-02-08

    Applicant: Kyndryl, Inc.

    Abstract: Application consistent dataset recovery using a cognitive control plane is provided. Sequence and timestamp of snapshots of volumes in a consistency group across heterogenous storage components corresponding to an application are recorded to facilitate operational recovery of application consistent datasets for the application. The cognitive control plane establishes a framework to manage, monitor, analyze, and update the consistency group and metadata to facilitate application consistent data recovery. A set of snapshots needed for the operational recovery of the application consistent datasets for the application is identified by mapping the sequence and timestamp of the snapshots of the volumes in the consistency group across the heterogenous storage components corresponding to the application in response to the computer determining that the operational recovery of the application consistent datasets for the application has been requested. The operational recovery of the application consistent datasets for the application is performed using the set of snapshots.

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