公开(公告)号：US20250013447A1

公开(公告)日：2025-01-09

申请号：US18894265

申请日：2024-09-24

Applicant: Bank of America Corporation

Inventor： Utkarsh Raj ,  Paul Jacob Abernathy ,  Vijaya Rudraraju ,  William Cruise

IPC: G06F8/51

Abstract: Various aspects of the disclosure relate to bi-directional hybrid-feedback driven self-healing and self-scaling language transpiler system may include bi-directional hopping to support multi language transpilation, automatic conversion of a mapping into a transformation specification, a hybrid feedback mechanism to update the transformation mappings, automatic scaling and/or creation of enterprise wide mapping and token (e.g., grammar) vocabulary, and/or a self-healing and/or corrective translation capability to perform automatic correction of any partial transpilations over time from a learned mapping.

公开(公告)号：US12079210B2

公开(公告)日：2024-09-03

申请号：US17557456

申请日：2021-12-21

Applicant: Bank of America Corporation

Inventor： Carl M. Benda ,  Maharaj Mukherjee ,  Utkarsh Raj ,  Elvis Nyamwange ,  Suman Roy Choudhury

IPC: G06F16/2452 ,  G06F16/21 ,  G06F16/242 ,  G06F16/2453 ,  G06F16/248 ,  G06F16/25 ,  G06F40/205

CPC classification number: G06F16/2452 ,  G06F16/214 ,  G06F16/2425 ,  G06F16/2433 ,  G06F16/2448 ,  G06F16/24534 ,  G06F16/248 ,  G06F16/258 ,  G06F40/205

Abstract: Aspects of the disclosure relate to transliteration of machine interpretable languages. A computing platform may configure a client application to use a custom driver when communicating with an enterprise database. The computing platform may receive a database query formatted in a first database format corresponding to a first database. The computing platform may translate, using a query translation library, the database query from the first database format into a second database format corresponding to a second database, which may cause the custom driver to execute a transliteration process using pre-verified query keys stored in the query translation library to convert the database query from the first database format into the second database format. The computing platform may execute the translated database query on the second database to obtain a query result, and may send the query result to the client application.

公开(公告)号：US20240241819A1

公开(公告)日：2024-07-18

申请号：US18096654

申请日：2023-01-13

Applicant: Bank of America Corporation

Inventor： Mardochee Macxis ,  Yogi Ahuja ,  Ion C. Freeman ,  Utkarsh Raj

IPC: G06F11/36

CPC classification number: G06F11/3688 ,  G06F11/368 ,  G06F11/3696

Abstract: Apparatus and methods for automatically testing accessibility of programs and hardware are provided. A program may receive configuration settings, a test program, and a set of accessibility rules. The program may automatically create a virtual test environment according to the configuration settings. The program may automatically run the test program within the virtual test environment and analyze the test program against the accessibility rules. When the test program fails to meet one or more of the accessibility rules, the program may determine, create, and test potential fixes until the revised test program meets all of the accessibility rules. The program may generate and transmit a report describing the results of any test.

公开(公告)号：US20230130019A1

公开(公告)日：2023-04-27

申请号：US17557418

申请日：2021-12-21

Applicant: Bank of America Corporation

Inventor： Carl M. Benda ,  Maharaj Mukherjee ,  Utkarsh Raj ,  Elvis Nyamwange ,  Suman Roy Choudhury

IPC: G06F16/2452 ,  G06F16/242 ,  G06F16/21 ,  G06F16/25

Abstract: Aspects of the disclosure relate to transliteration of machine interpretable languages. A computing platform may receive a request to perform a data migration from a first database configured in a first format to a second database configured in a second format. The computing platform may receive, from the client application and at an abstraction layer, a query. Based on identifying that the query is formatted for execution at the second database, the computing platform may route the query to the second database for execution. Based on identifying that the query is not formatted for execution at the second database, the computing platform may: 1) translate the query from the first format to the second format by using pre-verified query keys to convert the query from the first format into the second format, and 2) route the translated query to the second database for execution.

公开(公告)号：US20220114368A1

公开(公告)日：2022-04-14

申请号：US17066631

申请日：2020-10-09

Applicant: BANK OF AMERICA CORPORATION

Inventor： Maharaj Mukherjee ,  Utkarsh Raj

IPC: G06K9/00 ,  G06F16/71 ,  G06F16/783 ,  G06N3/04

Abstract: An apparatus includes a memory and processor. The memory stores a set of object categories and a set of motion categories. The processor splits a video into an ordered series of frames. For each frame, the processor determines that the frame includes an image of an object of a given object category. The processor assigns the given object category to the frame and stores the assigned object category in an ordered series of object category assignments. The processor determines, based on a subset of the ordered series of object category assignments, that the video used to generate the ordered series of object category assignments depicts a motion of a given motion category. The processor assigns the given motion category to the video.

公开(公告)号：US12153572B2

公开(公告)日：2024-11-26

申请号：US17557300

申请日：2021-12-21

Applicant: Bank of America Corporation

Inventor： Utkarsh Raj ,  Carl M. Benda ,  Maharaj Mukherjee ,  Suman Roy Choudhury ,  Elvis Nyamwange

IPC: G06F16/2452 ,  G06F16/21 ,  G06F16/242 ,  G06F16/2453 ,  G06F16/248 ,  G06F16/25 ,  G06F40/205

Abstract: Aspects of the disclosure relate to transliteration of machine interpretable languages. A computing platform receive a source query formatted in a first format for execution on a source database. The computing platform may execute the source query on the source database to produce a first data result. The computing platform may input the first data result into a reversal logic engine to produce a target query formatted in a second format corresponding to a target database. The computing platform may execute the target query on the target database to produce a second data result. Based on identifying that the second data result matches the first data result, the computing platform may validate the target query. Based on identifying that the second data result does not match the first data result, the computing platform may adjust the reversal logic engine based on the discrepancy.

公开(公告)号：US20240176718A1

公开(公告)日：2024-05-30

申请号：US18523317

申请日：2023-11-29

Applicant: BANK OF AMERICA CORPORATION

Inventor： Maharaj Mukherjee ,  Carl M. Benda ,  Suman Roy Choudhury ,  Colin Murphy ,  Elvis Nyamwange ,  Utkarsh Raj ,  Vidya Srikanth

IPC: G06F11/30 ,  G06F11/34

CPC classification number: G06F11/302 ,  G06F11/3452

Abstract: 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.

公开(公告)号：US20240045784A1

公开(公告)日：2024-02-08

申请号：US17879930

申请日：2022-08-03

Applicant: Bank of America Corporation

Inventor： Maharaj Mukherjee ,  Vidya Srikanth ,  Utkarsh Raj ,  Carl M. Benda ,  Elvis Nyamwange ,  Suman Roy Choudhury

IPC: G06F11/34 ,  G06F11/07 ,  G06F9/50

CPC classification number: G06F11/3442 ,  G06F11/0769 ,  G06F9/5083

Abstract: 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.

公开(公告)号：US11783247B2

公开(公告)日：2023-10-10

申请号：US17875708

申请日：2022-07-28

Applicant: Bank of America Corporation

Inventor： Veerandra S. Srivastava ,  Maharaj Mukherjee ,  Mehul Jayant Pandya ,  Utkarsh Raj

IPC: G06Q10/06 ,  G06Q10/0631 ,  G06N20/00 ,  G07C9/27 ,  G06F16/33

CPC classification number: G06Q10/06312 ,  G06F16/3344 ,  G06N20/00 ,  G06Q10/06313 ,  G07C9/27

Abstract: Aspects of the disclosure relate to using machine learning for resource planning. A computing platform may detect an occupancy modification event for a physical space. Based on detecting the occupancy modification event, the computing platform may send commands directing display of a data collection prompt to end user devices, which may prompt for work to be performed by users of the end user devices in the physical space during a first day. Using natural language processing, the computing platform may analyze user input information and other occupancy data to determine whether or not the users of the end user devices have permission to occupy the physical space during the first day. The computing platform may cause the end user devices to display a resource management interface indicating whether or not the users of the end user devices have valid permission to physically occupy the physical space during the first day.

公开(公告)号：US11580456B2

公开(公告)日：2023-02-14

申请号：US16859684

申请日：2020-04-27

Applicant: BANK OF AMERICA CORPORATION

Inventor： Utkarsh Raj ,  Maharaj Mukherjee

IPC: G06N20/00 ,  G06F11/34

Abstract: A model correction tool automatically detects and corrects model drift in a model for a machine learning application. To detect drift, the tool continuously monitors input data, outputs, and/or technical resources (e.g., processor, memory, network, and input/output resources) used to generate outputs. The tool analyzes changes to input data, outputs, and/or resource usage to determine when drift has occurred. When drift is determined to be occurring, the tool retrains a model for a machine learning application.