公开(公告)号：US11321787B2

公开(公告)日：2022-05-03

申请号：US16533825

申请日：2019-08-07

Applicant: Kyndryl, Inc.

Inventor： Manish Gupta ,  Sreekrishnan Venkateswaran ,  Jigar Navanitrai Kapasi ,  Deepak Poola Chandrashekar

IPC: G06Q10/10 ,  G06Q10/06 ,  G06Q30/02 ,  G06Q30/06 ,  G06Q50/00 ,  G06Q30/00 ,  G06F16/27

Abstract: A method, computer system, and a computer program product for multi-cloud solution design and fulfillment via crowdsourcing is provided. Embodiments of the present invention may include receiving a request, wherein the request includes computing requirements. Embodiments of the present invention may include parsing the received request into partitions. Embodiments of the present invention may include advertising the partitions to a plurality of participating members on a trusted network environment. Embodiments of the present invention may include receiving conceptual solutions to the partitions. Embodiments of the present invention may include evaluating the received conceptual solutions.

公开(公告)号：US11237881B2

公开(公告)日：2022-02-01

申请号：US16573537

申请日：2019-09-17

Applicant: Kyndryl, Inc.

Inventor： Poornima Sathyanaraya ,  Raghava Reddy Kapu Veera ,  Deepak Poola Chandrashekar ,  Sreekrishnan Venkateswaran

IPC: G06F9/50 ,  G06F9/54 ,  H04L29/08 ,  G06F9/48

Abstract: A computer implemented method for migrating streaming applications from on-premise non-cloud infrastructure to target clouds. The method may include receiving at the message connector a source message from an on-premise application. The method may further include analyzing the source message to assess feasibility of migrating the on-premise application to the target cloud wherein analysis includes extracting communication data from the source message and meta data from the source message. The method may also include converting the source message to a format native to the target cloud application, wherein the conversion by the message connector includes a cognitive engine to match a selected target cloud to the on premise application.

公开(公告)号：US11955127B2

公开(公告)日：2024-04-09

申请号：US17225286

申请日：2021-04-08

Applicant: Kyndryl, Inc.

Inventor： Muhammad Ammar Ahmed ,  Madiha Ijaz ,  Sreekrishnan Venkateswaran

IPC: G10L17/04 ,  G06F40/216 ,  G06F40/295 ,  G06F40/30 ,  G06F40/35 ,  G06Q10/0631 ,  G10L17/02 ,  G10L17/06 ,  G10L17/22 ,  G10L15/26

CPC classification number: G10L17/04 ,  G06F40/216 ,  G06F40/295 ,  G06F40/30 ,  G06F40/35 ,  G06Q10/063118 ,  G10L17/02 ,  G10L17/06 ,  G10L17/22 ,  G10L15/26

Abstract: An embodiment extracts a set of designated entities and a set of relationships between designated entities from speech content of an audio feed of a plurality of participants of a current web conference using a machine learning model trained to classify parts of speech content. The embodiment generates a list of current action items based on the extracted set of designated entities and relationships between designated entities. The embodiment identifies a first current action item that is an updated version of an ongoing action item on a progress list of ongoing action items from past web conferences. The embodiment also identifies a second current action item that is unrelated to any of the ongoing action items on the progress list. The embodiment updates the progress list to include updates for the first current action item and by adding the second current action item.

公开(公告)号：US11769080B2

公开(公告)日：2023-09-26

申请号：US17865152

申请日：2022-07-14

Applicant: Kyndryl, Inc.

Inventor： Sreekrishnan Venkateswaran ,  Debasisha Padhi ,  Shubhi Asthana ,  Anuradha Bhamidipaty ,  Ashish Kundu

IPC: G06N20/00 ,  G06F17/16 ,  G06F40/30 ,  G06N3/08

CPC classification number: G06N20/00 ,  G06F17/16 ,  G06F40/30 ,  G06N3/08

Abstract: A computer-implemented method in accordance with one embodiment includes, in response to a submission of an input dataset to an artificially intelligent application, receiving an explanation from each module of the application. The modules are configured within the application in a serial sequence in which each module, upon receiving the input dataset and any input generated by an immediately preceding module of the serial sequence, generates output that is forwarded as input to a next module, if any, in the sequence. A determination is made that at least two of the received explanations are semantically inconsistent.

公开(公告)号：US11750671B2

公开(公告)日：2023-09-05

申请号：US17225260

申请日：2021-04-08

Applicant: Kyndryl, Inc.

Inventor： Muhammad Ammar Ahmed ,  Madiha Ijaz ,  Sreekrishnan Venkateswaran

IPC: H04L65/403

CPC classification number: H04L65/403

Abstract: An embodiment includes identifying which of a plurality of participants of a web conference is an identified participant associated with a selected cluster of a plurality of clusters of audio feed data of an audio feed of the web conference based on a self-introduction in the selected cluster. The embodiment also generates a first preliminary leadership score for the identified participant based on a speaking duration value associated with the identified participant and generates a second preliminary leadership score for the identified participant using a selected video segment as an input for a machine learning classifier model. The embodiment calculates a final leadership score for the identified participant based on the first and second preliminary leadership scores. The final leadership score is representative of a likelihood that the identified participant is a supervisor, and is indicative of the identified participant being a supervisor if it exceeds a designated threshold value.

公开(公告)号：US11694443B2

公开(公告)日：2023-07-04

申请号：US16999099

申请日：2020-08-21

Applicant: KYNDRYL, INC.

Inventor： Madiha Ijaz ,  Muhammad Ammar Ahmed ,  Sreekrishnan Venkateswaran

IPC: G06V20/40 ,  G06F40/30 ,  G06F18/22 ,  G06F18/214 ,  G06F18/2431 ,  G06V20/70 ,  G06V30/262

CPC classification number: G06V20/48 ,  G06F18/214 ,  G06F18/22 ,  G06F18/2431 ,  G06F40/30 ,  G06V20/70 ,  G06V20/41 ,  G06V30/274

Abstract: Machine-based video classifying to identify misleading videos by training a model using a video corpus, obtaining a subject video from a content server, generating respective feature vectors of a title, a thumbnail, a description, and a content of the subject video, determining a first semantic similarities between ones of the feature vectors, determining a second semantic similarity between the title of subject video and titles of videos in the misleading video corpus in a same domain as the subject video, determining a third semantic similarity between comments of the subject video and comments of videos in the misleading video corpus in the same domain as the subject video, classifying the subject video using the model and based on the first semantic similarities, the second semantic similarity, and the third semantic similarity, and outputting the classification of the subject video to a user.

公开(公告)号：US11580240B2

公开(公告)日：2023-02-14

申请号：US16827874

申请日：2020-03-24

Applicant: Kyndryl, Inc.

Inventor： Vugranam C. Sreedhar ,  Sreekrishnan Venkateswaran ,  Charanjit Singh Jutla

IPC: H04L9/08 ,  H04L9/06 ,  G06F21/62 ,  G06F16/23

Abstract: An example operation may include one or more of capturing a current version of sensitive data by a data processor node, hashing, by the data processor node, the current version of the sensitive data, storing, by the data processor node, a hash of the current version of the sensitive data on a first blockchain, encrypting, by the data processor node, the current version of the sensitive data using a secret key, and storing the encrypted current version of the sensitive data on a second blockchain.