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1. 发明公开

US20240160552A1 PERFORMANCE MONITORING SYSTEM USING AGGREGATED TELEMETRY 审中-公开
公开(公告)号：US20240160552A1
公开(公告)日：2024-05-16
申请号：US18508654
申请日：2023-11-14
申请人： BANK OF AMERICA CORPORATION
发明人： Maharaj Mukherjee , Carl M. Benda , Elvis Nyamwange , Utkarsh Raj , Suman Roy Choudhury , Vidya Srikanth , Colin Murphy
IPC分类号： G06F11/34 , G06F11/30
CPC分类号： G06F11/3409 , G06F11/3024
摘要： Systems, computer program products, and methods are described herein for performance monitoring using aggregated telemetry. The present disclosure is configured to receive, from the first performance monitoring engine, a first metadata associated with the first resiliency status; receive, from the second performance monitoring engine, a second metadata associated with the second resiliency status; determine, using a machine learning (ML) subsystem, an overall resiliency status of the device based on at least the first metadata, the second metadata, the first resiliency status, and the second resiliency status; determine one or more actions to be executed on the device, wherein the one or more actions are associated with the overall resiliency status; generate a notification indicating the overall resiliency status of the device and the one or more actions associated with the overall resiliency status; and transmit control signals configured to cause a user input device to display the notification.

2. 发明申请

US20160371617A1 TECHNICAL ARCHITECTURE ASSESSMENT SYSTEM 审中-公开
标题翻译：技术建筑评估系统
公开(公告)号：US20160371617A1
公开(公告)日：2016-12-22
申请号：US14746100
申请日：2015-06-22
申请人： Bank of America Corporation
发明人： Melissa S. Mullaney , Vidya Srikanth , Ananthakrishnan Ravi Venkataraman , Rajat Wadhwani , John Joseph Towey
IPC分类号： G06Q10/06
CPC分类号： G06Q10/0635
摘要： A technical architecture system comprises a memory, an interface, and a processor. The system stores a plurality of risk areas, receives a request to send data to a third-party entity and retrieves architecture information associated with an architecture of the third-party entity. The architecture information corresponds to at least one of the plurality of risk areas. The system also determines a risk rating of the architecture for at least one of the plurality of risk areas. The risk rating is based on the architecture information. The system may further determine a weight based on the at least one of the plurality of risk areas and determine an area score based on the risk rating and the weight. Finally, the system determines whether to grant permission to send the data to the third-party entity based at least in part on the area score.
摘要翻译：技术架构系统包括存储器，接口和处理器。系统存储多个风险区域，接收向第三方实体发送数据的请求，并且检索与第三方实体的架构相关联的架构信息。架构信息对应于多个风险区域中的至少一个。系统还确定多个风险区域中的至少一个的架构的风险等级。风险等级基于架构信息。系统可以基于多个风险区域中的至少一个进一步确定权重，并且基于风险等级和权重来确定区域得分。最后，系统至少部分地基于区域得分来确定是否授予向第三方实体发送数据的许可。

3. 发明公开

US20240177298A1 SYSTEM AND METHOD FOR ANALYZING SYSTEM HEALTH OF INDIVIDUAL ELECTRONIC COMPONENTS USING IMAGE MAPPING 审中-公开
公开(公告)号：US20240177298A1
公开(公告)日：2024-05-30
申请号：US18522864
申请日：2023-11-29
申请人： BANK OF AMERICA CORPORATION
发明人： Maharaj Mukherjee , Carl M. Benda , Elvis Nyamwange , Utkarsh Raj , Suman Roy Choudhury , Vidya Srikanth , Colin Murphy
IPC分类号： G06T7/00
CPC分类号： G06T7/001 , G06T2207/30141
摘要： Systems, computer program products, and methods are described herein for analyzing system health of individual electronic components using image mapping. The method includes receiving a component health image for a component based on an execution of a process. The method also includes comparing the component health image based on the execution of the process to previous component health image(s) for the component based on one or more previous executions of the process The method further includes determining a component health image similarity score based on the comparison of the component health image to the one or more previous component health images for the component. The method still further includes determining a component health action based on the component health image similarity score. The component health action includes causing a transmission of an alert in an instance in which the component health image similarity score is outside of a threshold range.

4. 发明公开

US20240177022A1 SYSTEM AND METHOD FOR ANALYZING SYSTEM HEALTH OF INDIVIDUAL ELECTRONIC COMPONENTS USING COMPONENT RELATIONAL GRAPHS 审中-公开
公开(公告)号：US20240177022A1
公开(公告)日：2024-05-30
申请号：US18522872
申请日：2023-11-29
申请人： BANK OF AMERICA CORPORATION
发明人： Maharaj Mukherjee , Carl M. Benda , Elvis Nyamwange , Utkarsh Raj , Suman Roy Choudhury , Vidya Srikanth , Colin Murphy
IPC分类号： G06N5/022 , G06N20/00
CPC分类号： G06N5/022 , G06N20/00
摘要： Systems, computer program products, and methods are described herein for analyzing system health of individual electronic components using component relational graphs. The method includes receiving a process request. The process request is a request to execute a process. The method also includes determining one or more components of the system used during the process. The method further includes generating a component knowledge graph for the process. The component knowledge graph includes one or more nodes corresponding to each of one or more components used during the process. The method still further includes determining a component health rating for each of the one or more components used in the process.

5. 发明公开

US20240160513A1 SYSTEM FOR REAL-TIME OVERLOAD DETECTION USING IMAGE PROCESSING ANALYSIS 审中-公开
公开(公告)号：US20240160513A1
公开(公告)日：2024-05-16
申请号：US18508449
申请日：2023-11-14
申请人： BANK OF AMERICA CORPORATION
发明人： Maharaj Mukherjee , Carl M. Benda , Elvis Nyamwange , Utkarsh Raj , Suman Roy Choudhury , Vidya Srikanth , Colin Murphy
IPC分类号： G06F11/07 , G06F11/00 , G06F11/34 , G06T7/00 , G06V10/40
CPC分类号： G06F11/0766 , G06F11/008 , G06F11/3433 , G06T7/0004 , G06V10/40 , G06T2207/20081 , G06T2207/20084
摘要： Systems, computer program products, and methods are described herein for real-time overload detection using image processing analysis. The present disclosure is configured to receive a first set of images associated with a device, wherein the one or more images are associated with a resiliency status of the device; deploy, using a machine learning (ML) subsystem, a trained ML model on the first set of images of the device; determine, using the trained ML model, a change in the resiliency status of the device based on the first set of images; and generate a notification indicating the change in the resiliency status of the device; and transmit control signals configured to cause a first user input device to display the notification.

6. 发明公开

US20240176718A1 SYSTEM AND METHOD FOR ANALYZING OPERATIONAL PARAMETERS OF ELECTRONIC AND SOFTWARE COMPONENTS ASSOCIATED WITH ENTITY APPLICATIONS TO DETECT ANOMALIES 审中-公开
公开(公告)号：US20240176718A1
公开(公告)日：2024-05-30
申请号：US18523317
申请日：2023-11-29
申请人： BANK OF AMERICA CORPORATION
发明人： Maharaj Mukherjee , Carl M. Benda , Suman Roy Choudhury , Colin Murphy , Elvis Nyamwange , Utkarsh Raj , Vidya Srikanth
IPC分类号： G06F11/30 , G06F11/34
CPC分类号： G06F11/302 , G06F11/3452
摘要： Embodiments of the present invention provide a system for analyzing operational parameters of electronic and software components associated with entity applications to detect anomalies. The system is configured for extracting one or more historical images associated with resiliency status of electronic and software components associated with an entity application, analyzing the one or more historical images to generate a pixel wise average of the one or more historical images, generating similarity scores between the one or more historical images, determining a distribution of the similarity scores, receiving a real-time image associated with a current resiliency status of the electronic and software components associated with the entity application, generating a real-time image similarity score for the real-time image, and comparing the real-time image similarity score with the distribution to detect presence of an anomaly.

7. 发明公开

US20240054344A1 ELECTRONIC SYSTEM FOR DATA PROCESSING BY A SELF-CORRECTING, DEEP NEURAL NETWORK INTEGRATED WITHIN A MEMORY RESOURCE 审中-公开
公开(公告)号：US20240054344A1
公开(公告)日：2024-02-15
申请号：US18384495
申请日：2023-10-27
申请人： BANK OF AMERICA CORPORATION
发明人： Ananthakrishnan Venkataraman , Vidya Srikanth
IPC分类号： G06N3/08 , G06F16/23 , G06F16/245 , G06N3/044
CPC分类号： G06N3/08 , G06F16/2379 , G06F16/245 , G06N3/044
摘要： Embodiments of the invention are directed to a system, method, and computer program product for processing data analytics within memory. The system first receives a request for data associated with a database. The system utilizes a feature catalog and a deep learning neural network to determine the data that comprises the one or more desired features. The system can also provide the requested data to a computing device.

8. 发明公开

US20240045784A1 HYBRID NEURAL NETWORK FOR PREVENTING SYSTEM FAILURE 审中-公开
公开(公告)号：US20240045784A1
公开(公告)日：2024-02-08
申请号：US17879930
申请日：2022-08-03
申请人： Bank of America Corporation
发明人： Maharaj Mukherjee , Vidya Srikanth , Utkarsh Raj , Carl M. Benda , Elvis Nyamwange , Suman Roy Choudhury
IPC分类号： G06F11/34 , G06F11/07 , G06F9/50
CPC分类号： G06F11/3442 , G06F11/0769 , G06F9/5083
摘要： Aspects of the disclosure relate to outage prevention. A computing platform may train, using historical parameter information and historical outage information, an outage prediction model. The computing platform may receive, from at least one system, current parameter information, and may normalize the current parameter information. The computing platform may convert, using a CNN of the outage prediction model, the normalized current parameter information to a frequency domain. The computing platform may input, into at least one RNN of the outage prediction model, the frequency domain information, to produce a likelihood of outage score. The computing platform may compare the likelihood of outage score to a predetermined outage threshold. Based on identifying that the likelihood of outage score meets or exceeds the predetermined outage threshold, the computing platform may direct the at least one system to execute a performance modification to prevent a predicted outage.

9. 发明授权

US11836618B2 Electronic system for data processing by a self-correcting, deep neural network integrated within a memory resource 有权
公开(公告)号：US11836618B2
公开(公告)日：2023-12-05
申请号：US16997456
申请日：2020-08-19
申请人： Bank of America Corporation
发明人： Ananthakrishnan Venkataraman , Vidya Srikanth
IPC分类号： G06N3/08 , G06F16/23 , G06F16/245 , G06N3/044
CPC分类号： G06N3/08 , G06F16/2379 , G06F16/245 , G06N3/044
摘要： Embodiments of the invention are directed to a system, method, and computer program product for processing data analytics within memory. The system first receives a request for data associated with a database. The system utilizes a feature catalog and a deep learning neural network to determine the data that comprises the one or more desired features. The system can also provide the requested data to a computing device.

10. 发明申请

US20220058475A1 ELECTRONIC SYSTEM FOR DATA PROCESSING BY A SELF-CORRECTING, DEEP NEURAL NETWORK INTEGRATED WITHIN A MEMORY RESOURCE 有权
公开(公告)号：US20220058475A1
公开(公告)日：2022-02-24
申请号：US16997456
申请日：2020-08-19
申请人： Bank of America Corporation
发明人： Ananthakrishnan Venkataraman , Vidya Srikanth
IPC分类号： G06N3/08 , G06F16/245 , G06F16/23 , G06N3/04
摘要： Embodiments of the invention are directed to a system, method, and computer program product for processing data analytics within memory. The system first receives a request for data associated with a database. The system utilizes a feature catalog and a deep learning neural network to determine the data that comprises the one or more desired features. The system can also provide the requested data to a computing device.

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