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公开(公告)号：US12111855B1
公开(公告)日：2024-10-08
申请号：US18127963
申请日：2023-03-29
Applicant: Kyndryl, Inc.
Inventor： Archana Dixit , Amol Bhaskar Mahamuni , Kiran Kumar K , Mahesh Sondkar
IPC: G06F16/00 , G06F16/2457 , G06F16/28 , G06F16/29
CPC classification number: G06F16/29 , G06F16/24578 , G06F16/285
Abstract: A computer-implemented method, in accordance with one embodiment, includes collecting data from a plurality of predefined functional areas in a particular geographical area in which a plurality of physical objects are located, at least some of the data relating to vandalism. Wrangling is performed on the data to correlate the data from the functional areas with respective ones of the physical objects. The wrangled data corresponding to each of the physical objects is transformed into features corresponding to a the functional areas. For each of the physical objects, the features are processed according to predefined rules for generating a rank for each of the functional areas. Dynamic weights are computed for at least some of the features to account for data drift by comparing historical data with latest data. The ranks and dynamic weights are transformed into a vandalism score for each of the physical objects, which is output.
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公开(公告)号：US20240135348A1
公开(公告)日：2024-04-25
申请号：US17970796
申请日：2022-10-20
Applicant: KYNDRYL, INC.
Inventor： Amol Bhaskar Mahamuni , Debasisha Padhi , Nidhi Patel
CPC classification number: G06Q20/1085 , G06Q20/3223 , G06Q20/3272 , G06Q20/389 , G06Q20/40145 , G06V40/176 , G10L15/1807
Abstract: A method is provided that includes configuring a cellular phone to function as a mobile debit card by installing an application for contactless interfacing with ATMs. The method supplements the application with a neural network (NN) based biometric verification process configured to reduce an incorrect user error value over time to increasingly harden the application to undesired intrusion. The NN based biometric verification process comprises: performing an initial face recognition; greeting the user with one of a plurality of questions in a specific language of the user and evaluating a pre-defined answer provided from the user in the specific language; and detecting, in an acoustic utterance having dialogue in support of an ATM session, a voice and a prosody style indicative of the user in combination with lip and face movements made by the user corresponding to and in synchronization with the acoustic utterance.
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公开(公告)号：US20250007797A1
公开(公告)日：2025-01-02
申请号：US18343785
申请日：2023-06-29
Applicant: Kyndryl, Inc.
Inventor： Amol Bhaskar Mahamuni , Kiran Kumar K
IPC: H04L43/026 , H04L41/0631
Abstract: Some embodiments of the present disclosure are directed to systems, computer-readable media, and computer-implemented methods for multi-node failure processing in computer networks. In particular, some embodiments are directed to generating and displaying an impact area graph for a respective node from a plurality of nodes in a network, wherein the impact area graph depicts the relative predicted impact to each other node in the network from a failure of the respective node. Other embodiments may be disclosed or claimed.
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公开(公告)号：US12106273B2
公开(公告)日：2024-10-01
申请号：US17970796
申请日：2022-10-21
Applicant: KYNDRYL, INC.
Inventor： Amol Bhaskar Mahamuni , Debasisha Padhi , Nidhi Patel
CPC classification number: G06Q20/1085 , G06Q20/3223 , G06Q20/3272 , G06Q20/389 , G06Q20/40145 , G06V40/176 , G10L15/1807
Abstract: A method is provided that includes configuring a cellular phone to function as a mobile debit card by installing an application for contactless interfacing with ATMs. The method supplements the application with a neural network (NN) based biometric verification process configured to reduce an incorrect user error value over time to increasingly harden the application to undesired intrusion. The NN based biometric verification process comprises: performing an initial face recognition; greeting the user with one of a plurality of questions in a specific language of the user and evaluating a pre-defined answer provided from the user in the specific language; and detecting, in an acoustic utterance having dialogue in support of an ATM session, a voice and a prosody style indicative of the user in combination with lip and face movements made by the user corresponding to and in synchronization with the acoustic utterance.
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公开(公告)号：US12072969B2
公开(公告)日：2024-08-27
申请号：US17353904
申请日：2021-06-22
Applicant: KYNDRYL, INC.
Inventor： Archana Dixit , Amol Bhaskar Mahamuni
Abstract: A processor may receive authentication data related to inputs of a user to predetermined authentication prompts. The processor may select devices from a set of registered devices to use for providing a first password prompt to the user. The processor may identify one or more output formats for each of the selected devices. The processor may generate a first password prompt having two or more password prompt components, where each password prompt component has an output format. The processor may send the two or more password prompt components to respective selected devices.
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Patent Agency Ranking
公开(公告)号：US12278744B2
公开(公告)日：2025-04-15
申请号：US18343785
申请日：2023-06-29
Applicant: Kyndryl, Inc.
Inventor： Amol Bhaskar Mahamuni , Kiran Kumar K
IPC: H04L43/026 , H04L41/0631 , H04L41/14 , H04L41/147 , H04L41/149
Abstract: Some embodiments of the present disclosure are directed to systems, computer-readable media, and computer-implemented methods for multi-node failure processing in computer networks. In particular, some embodiments are directed to generating and displaying an impact area graph for a respective node from a plurality of nodes in a network, wherein the impact area graph depicts the relative predicted impact to each other node in the network from a failure of the respective node. Other embodiments may be disclosed or claimed.
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公开(公告)号：US20240330329A1
公开(公告)日：2024-10-03
申请号：US18127963
申请日：2023-03-29
Applicant: Kyndryl, Inc.
Inventor： Archana Dixit , Amol Bhaskar Mahamuni , Kiran Kumar K , Mahesh Sondkar
IPC: G06F16/29 , G06F16/2457 , G06F16/28
CPC classification number: G06F16/29 , G06F16/24578 , G06F16/285
Abstract: A computer-implemented method, in accordance with one embodiment, includes collecting data from a plurality of predefined functional areas in a particular geographical area in which a plurality of physical objects are located, at least some of the data relating to vandalism. Wrangling is performed on the data to correlate the data from the functional areas with respective ones of the physical objects. The wrangled data corresponding to each of the physical objects is transformed into features corresponding to a the functional areas. For each of the physical objects, the features are processed according to predefined rules for generating a rank for each of the functional areas. Dynamic weights are computed for at least some of the features to account for data drift by comparing historical data with latest data. The ranks and dynamic weights are transformed into a vandalism score for each of the physical objects, which is output.
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公开(公告)号：US20240232839A9
公开(公告)日：2024-07-11
申请号：US17970796
申请日：2022-10-21
Applicant: KYNDRYL, INC.
Inventor： Amol Bhaskar Mahamuni , Debasisha Padhi , Nidhi Patel
CPC classification number: G06Q20/1085 , G06Q20/3223 , G06Q20/3272 , G06Q20/389 , G06Q20/40145 , G06V40/176 , G10L15/1807
Abstract: A method is provided that includes configuring a cellular phone to function as a mobile debit card by installing an application for contactless interfacing with ATMs. The method supplements the application with a neural network (NN) based biometric verification process configured to reduce an incorrect user error value over time to increasingly harden the application to undesired intrusion. The NN based biometric verification process comprises: performing an initial face recognition; greeting the user with one of a plurality of questions in a specific language of the user and evaluating a pre-defined answer provided from the user in the specific language; and detecting, in an acoustic utterance having dialogue in support of an ATM session, a voice and a prosody style indicative of the user in combination with lip and face movements made by the user corresponding to and in synchronization with the acoustic utterance.
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公开(公告)号：US20230342658A1
公开(公告)日：2023-10-26
申请号：US17726887
申请日：2022-04-22
Applicant: Kyndryl, Inc.
Inventor： Sushant Tripathi , Bala Srinivas Vanapalli , Shankaramurthy K V , Siddesh Laxmikant Gad , Amol Bhaskar Mahamuni
Abstract: Systems and methods enable optimized infrastructure deployment planning and validation. In embodiments, a method includes: training, by a computing device, a machine learning (ML) predictive model with historic infrastructure deployment data of a plurality of resource providers in a network environment, including resource dependencies; generating, by the computing device, a deployment topology for requested resources of an information technology (IT) deployment request of a user; generating, by the computing device using the ML predictive model, a confidence score regarding a likelihood of successful implementation of the deployment request based on dependencies of the deployment topology; and dynamically implementing, by the computing device, deployment of the IT deployment request to provision the requested resources from multiple providers in the network environment based on the confidence score.
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公开(公告)号：US11656932B2
公开(公告)日：2023-05-23
申请号：US17379583
申请日：2021-07-19
Applicant: KYNDRYL, INC.
Inventor： Amol Bhaskar Mahamuni , Sundaravelu Shanmugam , Joel Augustine George
CPC classification number: G06F11/0793 , G06F9/4881 , G06F11/0706 , G06F11/079 , G06F11/0766 , G06F11/0772 , G06F11/0778 , G06F11/0787 , G06F11/2257 , G06F11/302 , G06F11/3051 , G06N3/044 , G06N5/022
Abstract: Systems, methods, and computer programming products for predicting, preventing and remediating failures of batch jobs being executed and/or queued for processing at future scheduled time. Batch job parameters, messages and system logs are stored in knowledge bases and/or inputted into AI models for analysis. Using predictive analytics and/or machine learning, batch job failures are predicted before the failures occur. Mappings of processes used by each batch job, historical data from previous batch jobs and data identifying the success or failure thereof, builds an archive that can be refined over time through active learning feedback and AI modeling to predictively recommend actions that have historically prevented or remediated failures from occurring. Recommended actions are reported to the system administrator or automatically applied. As job failures occur over time, mappings of the current system log to logs for the unsuccessful batch jobs help the root cause analysis becomes simpler and more automated.
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