公开(公告)号：US11874730B2

公开(公告)日：2024-01-16

申请号：US17681774

申请日：2022-02-26

Applicant: International Business Machines Corporation

Inventor： Ruchi Mahindru ,  Harshit Kumar ,  Sahil Bansal ,  Anbang Xu ,  Lu An ,  Gargi B. Dasgupta

IPC: G06F11/00 ,  G06F11/07

CPC classification number: G06F11/079 ,  G06F11/0751 ,  G06F11/0778 ,  G06F11/0793

Abstract: Identifying an log anomaly resolution by generating a knowledge base linking each of a plurality of incidents with historical anomalous log lines, calculating a resolution specificity score for each knowledge base record, identifying a run-time anomalous log line using the knowledge base, predicting a category for the run-time anomalous log line, identifying resolutions according to the category, ranking the resolutions according to the resolution specificity scores, and recommending a resolution according to the ranking.

公开(公告)号：US20230140909A1

公开(公告)日：2023-05-11

申请号：US17454335

申请日：2021-11-10

Applicant: International Business Machines Corporation

Inventor： Girish Padmanabhan ,  Sarbajit K. Rakshit ,  Venkata Vara Prasad Karri ,  Arvind Agarwal ,  Harshit Kumar

IPC: G06F30/20 ,  G06Q30/00

CPC classification number: G06F30/20 ,  G06Q30/018

Abstract: Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention can in response to receiving information associated with an activity, identify requirements associated with performance of the activity. Embodiments of the present invention can then determine relevancy of each requirement of the identified requirements. Embodiments of the present invention can then define compliance mechanisms needed to verify compliance of the identified requirements that were determined relevant, and in response to detecting a violation, execute one or more remedial actions to satisfy an identified requirement that was determined relevant of the identified requirements.

公开(公告)号：US11423219B2

公开(公告)日：2022-08-23

申请号：US16823777

申请日：2020-03-19

Applicant: International Business Machines Corporation

Inventor： Balaji Viswanathan ,  Ajay Gupta ,  Harshit Kumar ,  Arvind Agarwal

IPC: G06F40/186 ,  G06F16/93 ,  G06F40/253 ,  G06F40/30 ,  G06N20/00

Abstract: One embodiment provides a method, including: obtaining a plurality of previously submitted application documents, wherein each of the previously submitted application documents comprises information provided by a user who initiated a given previously submitted application document; clustering the plurality of previously submitted application documents into clusters of application documents based upon topics of the previously submitted application documents; selecting a representative application document; identifying entities contained within a given representative application document, wherein each of the entities corresponds to information to be entered into a new application document created from the given representative application document; and engaging in a dialogue with a user to create the new application document utilizing a similar representative application document to request information from the user, wherein the similar representative application document comprises a representative application document of a cluster having a topic similar to a topic of the new application document.

公开(公告)号：US20220075936A1

公开(公告)日：2022-03-10

申请号：US17017202

申请日：2020-09-10

Applicant: International Business Machines Corporation

Inventor： Amitkumar Manoharrao Paradkar ,  Amar P. Azad ,  Ajay Gupta ,  Suranjana Samanta ,  Prateeti Mohapatra ,  Harshit Kumar ,  Eyal Shnarch

IPC: G06F40/20 ,  G06F16/901 ,  G06N3/04

Abstract: Methods, systems, and computer program products for mining multi-party collaboration platforms to create triaging trees and playbooks are provided herein. A computer-implemented method includes obtaining, from a multi-user platform, conversations related to at least one technical issue; generating a plurality of triaging trees by analyzing the conversations, wherein each of the triaging trees stores information corresponding to temporal sequences of steps related to diagnosing and resolving said at least one technical issue; and deriving a playbook for resolving said at least one technical issue at least in part by combining two or more of the plurality of triaging trees.

公开(公告)号：US20210383077A1

公开(公告)日：2021-12-09

申请号：US16892805

申请日：2020-06-04

Applicant: International Business Machines Corporation

Inventor： Danish Contractor ,  Nikhil Verma ,  Harshit Kumar ,  Sachindra Joshi

IPC: G06F40/56 ,  G06Q10/10 ,  G06N5/04 ,  G06F16/93 ,  G06F16/9032

Abstract: Methods, systems, and computer program products for generating dialog system workspaces are provided herein. A computer-implemented method includes obtaining (i) a set of policy documents and (ii) a set of initial questions; identifying at least one of the policy documents in the set of policy documents that is relevant to answering a given one of the initial questions in the set of initial questions; generating, based at least in part on an analysis of said identified policy document, (i) at least one follow-up question to said given initial question and (ii) two or more candidate answers to said at least one follow-up question; generating a dialog tree comprising at least (i) a parent node corresponding to the at least one follow-up question and (ii) child nodes corresponding to the two or more candidate answers; translating the dialog tree into a dialog workspace; and deploying the dialog workspace in an intelligent dialog system.

公开(公告)号：US20250117282A1

公开(公告)日：2025-04-10

申请号：US18483016

申请日：2023-10-09

Applicant: International Business Machines Corporation

Inventor： Karan Bhukar ,  Harshit Kumar ,  Amar Prakash Azad ,  Sachindra Joshi

IPC: G06F11/07 ,  G06Q10/0631

Abstract: Various systems and methods are presented herein regarding automatically identifying one or more entities to for assignment to resolving an issue and/or removing an entity from a group of entities assigned to resolve the issue. The issue can relate to an information technology/computer-based environment. The entities can be subject matter experts, having expertise identified to be related to the issue. A summary of the issue and activity relating to resolving the issue can be automatically generated and supplied to an entity who is being onboarded after the project is underway to resolve the issue. By implementing automated assignment/removal of entities, efficiency of the resolution is improved.

公开(公告)号：US11816437B2

公开(公告)日：2023-11-14

申请号：US17122644

申请日：2020-12-15

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Ajay Gupta ,  Arvind Agarwal ,  Harshit Kumar ,  Balaji Viswanathan

IPC: G06F40/00 ,  G06F40/30 ,  G06F40/279 ,  G06F16/35 ,  G06F40/186 ,  G06V30/412

CPC classification number: G06F40/30 ,  G06F16/35 ,  G06F40/186 ,  G06F40/279 ,  G06V30/412

Abstract: A computer-implemented method gathers a set of previously filed applications, performs intent identification on the set, clusters applications in the set based on identified common intents, receives input from user and identifying intent of the input, matches the input to a cluster based on a common intent, and generates a new application based on the input using filed applications in a cluster having a common intent between the cluster and the input.

公开(公告)号：US20230274160A1

公开(公告)日：2023-08-31

申请号：US17681984

申请日：2022-02-28

Applicant: International Business Machines Corporation

Inventor： Shashank Mujumdar ,  Hima Patel ,  Sambaran Bandyopadhyay ,  Pooja Aggarwal ,  Anbang Xu ,  Hau-Wen Chang ,  Harshit Kumar ,  Katherine Guo ,  Rama Kalyani T. Akkiraju ,  Gargi B. Dasgupta

IPC: G06N5/02

CPC classification number: G06N5/022

Abstract: Methods, systems, and computer program products for automatically detecting periods of normal activity by analyzing observability data in IT operations environments are provided herein. A computer-implemented method includes obtaining multiple types of data related to one or more artificial intelligence-related information technology operations; modelling at least a portion of the obtained data as time series data; automatically identifying, from the time series data, one or more time periods associated with one or more given levels of data activity; and performing one or more automated actions, in at least one artificial intelligence-related information technology operations environment, based at least in part on the data corresponding to the one or more identified time periods.

公开(公告)号：US20230004761A1

公开(公告)日：2023-01-05

申请号：US17363087

申请日：2021-06-30

Applicant: International Business Machines Corporation

Inventor： Raghav Batta ,  Michael Elton Nidd ,  Larisa Shwartz ,  PRITAM GUNDECHA ,  Rama Kalyani T. Akkiraju ,  Amar Prakash Azad ,  Harshit Kumar

IPC: G06K9/62 ,  G06N20/00

Abstract: An approach for generating actionable explanations of change request classifications may be presented. A model may generate features associated with a change request may be disclosed. The model may be trained with historical change requests that have been labeled risky or not risky. The change request may be classified as risky or not risky. Candidate historical change requests with the same classification as the change request and occupying similar feature space as the change request may be identified from a historical change request repository. One or more features which had the most significant impact on the classification may be identified. A candidate historical change request with at least one significant feature impacting classification may be identified.

公开(公告)号：US11409593B1

公开(公告)日：2022-08-09

申请号：US17394667

申请日：2021-08-05

Applicant: International Business Machines Corporation

Inventor： Harshit Kumar ,  Raghav Batta ,  Jinho Hwang ,  Larisa Shwartz ,  Gargi B. Dasgupta ,  Prateeti Mohapatra ,  Amar Prakash Azad ,  Nikhil Verma ,  Ajay Gupta ,  Pooja Aggarwal ,  Jakub Krchák

IPC: G06F11/07

Abstract: Methods, computer program products, and/or systems are provided that perform the following operations: in an information technology (IT) management system, grouping one or more ongoing service failure events into a service failure record; identifying a representative event for the service failure record; identifying one or more conversations that relate to the one or more ongoing service events; computing, using a similarity algorithm, feature similarity scores for respective conversations of the one or more conversations based, at least in part, on the features associated with the representative event and features associated with the respective conversations; linking a subset of the one or more conversations to the one or more ongoing service events in the service failure record based, at least in part, on the computed feature similarity scores; and providing the service failure record to a collaboration platform utilized in addressing the one or more ongoing service events.