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.

公开(公告)号：US20250085979A1

公开(公告)日：2025-03-13

申请号：US18465410

申请日：2023-09-12

Applicant: Kyndryl, Inc.

Inventor： Cesar Augusto Rodriguez Bravo ,  Kim A. Eckert ,  David Alonso Campos Batista

IPC: G06F9/4401

Abstract: An approach is disclosed that determines that a change is needed to a remote system that is managed by a change management system that manages changes to many remote systems. A change management time window when the change is scheduled to be performed at the selected remote system is identified and a monitoring request is sent to the remote system. The monitoring request causes the remote system to run a monitoring process. The change management system receives an activity notification that was identified by the monitoring process. In response to the activity notification matching the change needed, the change scheduled at the selected remote system is canceled by the change management system.