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.

Inventor： KALPESH SHARMA ,  Muniyandi Perumal Thevar ,  Nalini M ,  Veeresh Bushetti

IPC: G06F16/28 ,  G06F16/22

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.

公开(公告)号：US20220374315A1

公开(公告)日：2022-11-24

申请号：US17323265

申请日：2021-05-18

Applicant: KYNDRYL, INC.

Inventor： Dinesh G. Venkatraman ,  Pritpal S. Arora ,  Hariharan N. Venkitachalam ,  KALPESH SHARMA

IPC: G06F11/14 ,  G06F17/18

Abstract: Provided is a method for generating a data backup strategy for a computer system. The method comprises receiving an event related to a change in a computer system. The method further comprises applying regression techniques on historical data related to previous events for the computer system to determine a failure prediction score for the computer system. The method further comprises calculating a set of backup parameters for performing a backup of data of the computer system. The method further comprises generating a score for the backup using the set of backup parameters. The method further comprises determining a backup strategy for the computer system based on the score.