公开(公告)号：US11971995B2

公开(公告)日：2024-04-30

申请号：US16929554

申请日：2020-07-15

Applicant: KYNDRYL, INC.

Inventor： Michael Boone ,  Evelyn R Anderson ,  Natalie Brooks Powell ,  Michael Bender

IPC: G06F21/57 ,  G06F11/34 ,  G06F21/56 ,  G06F21/62 ,  G06Q10/06 ,  G06Q10/0635 ,  H04L67/306

CPC classification number: G06F21/577 ,  G06F11/3438 ,  G06F21/56 ,  G06F21/6245 ,  G06Q10/0635 ,  H04L67/306 ,  G06F2201/81

Abstract: Hardware and software on a computing device is analyzed based on a regulatory profile for the computing device and regulatory compliance for an entity associated with the computing device. A determination is made whether at least one of the hardware and software on the computing device includes at least one regulatory non-compliance issue. In response to determining that at least one of the hardware and software on the computing device includes at least one regulatory non-compliance issue, one or more scripts are executed on the hardware and software on the computing device to cause the hardware and software to resolve the at least one regulatory non-compliance issue based on the regulatory profile for the computing device.

公开(公告)号：US20230379267A1

公开(公告)日：2023-11-23

申请号：US17749403

申请日：2022-05-20

Applicant: Kyndryl, Inc.

Inventor： Rhonda L. Childress ,  Jeremy R. Fox ,  Michael Bender ,  Sarbajit K. Rakshit

IPC: H04L47/762 ,  H04L47/78 ,  H04L47/70 ,  G06N20/00

CPC classification number: H04L47/762 ,  H04L47/781 ,  H04L47/822 ,  G06N20/00

Abstract: A system and method for bandwidth management are provided. In embodiments, a method includes: training, by a computing device, a predictive machine learning (ML) model based on historic network usage data of software applications in a cloud environment and historic business context data; assigning, by the computing device, priority rankings to software application activities of the cloud environment using the predictive ML model based on predicted resource requirements for the software application activities of the cloud environment and predicted contextual scenarios that impact the predicted resource requirements using an input of real-time network usage data of the cloud environment and real-time business context data; and initiating, by the computing device, scheduling of the software application activities based on the priority rankings.

公开(公告)号：US11580443B2

公开(公告)日：2023-02-14

申请号：US16442300

申请日：2019-06-14

Applicant: Kyndryl, Inc.

Inventor： Gregory J. Boss ,  Zachary A. Silverstein ,  Michael Bender ,  Jeremy R. Fox

IPC: G06N20/00 ,  G16H50/20 ,  H04L67/12

Abstract: Techniques are described with respect to facilitating client ergonomic support. An associated method includes receiving a plurality of posture datapoints associated with multiple clients and constructing a machine learning knowledge model based upon the plurality of posture datapoints in order to identify a plurality of predefined ergonomic support design elements. The method further includes receiving client-specific posture datapoints associated with a first client and analyzing, via the machine learning knowledge model, the client-specific posture datapoints in view of the plurality of posture datapoints in order to select an initial ergonomic support design element among the plurality of predefined ergonomic support design elements. The method further includes facilitate printing of the initial ergonomic support design element for a seat component associated with the first client. In an embodiment, the method further includes providing at least one ergonomic refinement to the first client based upon ergonomic sensor data.

公开(公告)号：US11562568B2

公开(公告)日：2023-01-24

申请号：US17303395

申请日：2021-05-27

Applicant: KYNDRYL, INC.

Inventor： Todd Russell Whitman ,  Mauro Marzorati ,  Jeremy R. Fox ,  Michael Bender ,  Sarbajit K. Rakshit

IPC: H04N7/18 ,  G06V20/40 ,  G06N5/02 ,  G06F16/74 ,  G06F16/783 ,  G06F16/738 ,  G06F16/735

Abstract: A computer-implemented method, a computer program product, and a computer system for dynamically creating a composition reference video to support a user activity. In response to that a user selects a reference video for performing an activity, the computer system identifies a search query of a reference video. The computer system identifies personalized parameters of the user, based on a knowledge corpus user preferences of performing activities, and the search query. The computer system identifies appropriate videos and video transcripts in an online video repository and identifies textual contents through document and text search, based on a prediction about how the user is to perform the activity. The computer system draws series of images based on the textual contents. The computer system normalizes contents from the appropriate videos and the series of images and normalizes voices in the contents from the appropriate videos.

公开(公告)号：US11461674B2

公开(公告)日：2022-10-04

申请号：US15967680

申请日：2018-05-01

Applicant: Kyndryl, Inc.

Inventor： Michael Bender ,  Rhonda L. Childress ,  Kim A. Eckert ,  Minh Q. Pham

IPC: G06N5/04 ,  G07C5/08 ,  G06N20/00

Abstract: Disclosed embodiments provide techniques for providing vehicular recommendations based on driver habits. Embodiments utilize a variety of input data, including, but not limited to, static vehicular data, dynamic vehicular data, and/or environmental data. In embodiments, empirical rules are used to adjust recommended maintenance schedules based on the input conditions. Additionally, the adjusted recommendations along with unscheduled maintenance data are input to a machine learning system, such as a neural network. The machine learning system is used to further revise the maintenance schedule, estimate end of life of the vehicle, and issue recommendations for when to sell a vehicle and recommendations on attributes of a new vehicle for acquisition.