公开(公告)号：US20240223476A1

公开(公告)日：2024-07-04

申请号：US18422408

申请日：2024-01-25

Applicant: Bank of America Corporation

Inventor： Meenakshi MeenakshiSundaram ,  Nithya C ,  Suki Ramasamy ,  John Dinakar Iruvanti

IPC: H04L43/06 ,  H04L43/04 ,  H04L67/10

CPC classification number: H04L43/06 ,  H04L43/04 ,  H04L67/10

Abstract: Aspects described herein relate to a centralized computing system that interacts with a plurality of data centers, each having an edge server. Each edge server obtains sensor information from a plurality of sensors and processes the sensor information to detect an imminent shutdown and sends emergency data to a centralized processing entity when detected. In order to make a decision, the edge server processes the sensor data based on dynamic sensor thresholds and dynamic prioritizer data by syncing with the centralized computing system. Because of the short time duration to report emergency data before an imminent complete shutdown, an edge server may utilize a quantum data pipeline and quantum data storage as a key medium for all data transfer in a normal condition and at the time of emergency for internally transporting processed sensor data and providing the emergency data to the centralized processing entity.

公开(公告)号：US11924074B2

公开(公告)日：2024-03-05

申请号：US17575860

申请日：2022-01-14

Applicant: Bank of America Corporation

Inventor： Meenakshi MeenakshiSundaram ,  Nithya C ,  John Dinakar Iruvanti ,  Suki Ramasamy

IPC: H04L43/06 ,  H04L43/04 ,  H04L67/10

CPC classification number: H04L43/06 ,  H04L43/04 ,  H04L67/10

Abstract: Aspects described herein relate to a centralized computing system that interacts with a plurality of data centers, each having an edge server. Each edge server obtains sensor information from a plurality of sensors and processes the sensor information to detect an imminent shutdown and sends emergency data to a centralized processing entity when detected. In order to make a decision, the edge server processes the sensor data based on dynamic sensor thresholds and dynamic prioritizer data by syncing with the centralized computing system. Because of the short time duration to report emergency data before an imminent complete shutdown, an edge server may utilize a quantum data pipeline and quantum data storage as a key medium for all data transfer in a normal condition and at the time of emergency for internally transporting processed sensor data and providing the emergency data to the centralized processing entity.

公开(公告)号：US11709856B2

公开(公告)日：2023-07-25

申请号：US17221996

申请日：2021-04-05

Applicant: Bank of America Corporation

Inventor： Ravikanth Tadepally ,  Sudhansu Mohanty ,  Utkarsh Singhal ,  Suki Ramasamy

IPC: G06F16/00 ,  G06F16/25 ,  G06F16/21

CPC classification number: G06F16/254 ,  G06F16/212 ,  G06F16/252

Abstract: An apparatus includes a processor. The processor extracts a column from an external source for import into a database configured to store a set of columns including a first and second column. The processor splits the entries of the import column into a set of terms. The processor generates a first, second, and third vector based on the frequency of each term of the set of terms in the first, second, and import columns, respectively. The processor determines a first similarity measure between the first and third vectors and a second similarity measure between the second and third vectors. The first similarity measure is greater than the second. In response, the processor provides an indication to a user that the first column is a mapping candidate for the import column, such that entries of the import column may be stored in the database as additional entries in the first column.

公开(公告)号：US20210406276A1

公开(公告)日：2021-12-30

申请号：US16912960

申请日：2020-06-26

Applicant: Bank of America Corporation

Inventor： Suki Ramasamy

IPC: G06F16/25 ,  G06F16/23 ,  G06F21/31 ,  G06F21/62 ,  G06K9/62 ,  G06N20/00

Abstract: Systems, computer program products, and methods are described herein for automated data lineage and movement detection. The present invention is configured to generate a training dataset based on the source data, the target data, and the transformation logic; initiate machine learning algorithms on the training dataset to generate a first set of parameters; generate a test dataset based on at least the unseen source data and the transformed unseen source data; predict, using the first set of parameters, the transformation logic used to transform the unseen source data to transformed unseen source data; determine one or more target computing devices based on at least the transformation logic; and initiate a transmission of the transformed unseen source data to the one or more target computing devices.

公开(公告)号：US20210149910A1

公开(公告)日：2021-05-20

申请号：US16684906

申请日：2019-11-15

Applicant: Bank of America Corporation

Inventor： Ravikanth Tadepally ,  Sudhansu Mohanty ,  Utkarsh Singhal ,  Suki Ramasamy

IPC: G06F16/25 ,  G06F16/21

Abstract: An apparatus includes a processor. The processor extracts a column from an external source for import into a database configured to store a set of columns including a first and second column. The processor splits the entries of the import column into a set of terms. The processor generates a first, second, and third vector based on the frequency of each term of the set of terms in the first, second, and import columns, respectively. The processor determines a first similarity measure between the first and third vectors and a second similarity measure between the second and third vectors. The first similarity measure is greater than the second. In response, the processor provides an indication to a user that the first column is a mapping candidate for the import column, such that entries of the import column may be stored in the database as additional entries in the first column.

公开(公告)号：US10965446B2

公开(公告)日：2021-03-30

申请号：US16585757

申请日：2019-09-27

Applicant: Bank of America Corporation

Inventor： Suki Ramasamy ,  Sasidhar Purushothaman

IPC: H04L9/06 ,  H04L29/08 ,  G06N3/02

Abstract: Methods, systems, and apparatuses for blockchain-based automated user matching are described herein. In some arrangements, a node within a decentralized peer-to-peer (e.g., P2P) network may receive match parameters from one or more computing devices associated with supply side entities and demand side entities. The node may execute one or more artificial intelligence algorithms to match the supply side entities with the demand side entities based on the received match parameters. In some instances, the artificial intelligence algorithms may be stored in a smart contract on a blockchain and the matching may be performed through execution of the smart contract by nodes of the decentralized P2P network.

公开(公告)号：US10963510B2

公开(公告)日：2021-03-30

申请号：US16059798

申请日：2018-08-09

Applicant: BANK OF AMERICA CORPORATION

Inventor： James McCormack ,  Sean M. Gutman ,  Manu J. Kurian ,  Sasidhar Purushothaman ,  Suki Ramasamy ,  William P. Jacobson

IPC: G06F16/68 ,  G06F40/30 ,  G06F16/683

Abstract: A natural language processing system that includes an artificial intelligence (AI) engine and a tagging engine. The AI engine is configured to receive a set of audio files and to identify concepts within the set of audio files. The AI engine is further configured to determine a usage frequency for each of the identified concepts and to generate an AI-defined tag for concepts with a usage frequency that is greater than a usage frequency threshold. The tagging engine is configured to receive an audio file and to identify observed concepts within the audio file. The tagging engine is further configured to compare the observed concepts to the first set of concepts, to determine one or more observed concepts matches concepts linked with AI-defined tags, and to modify metadata for the audio file to include AI-defined tags.

公开(公告)号：US10891203B2

公开(公告)日：2021-01-12

申请号：US16545133

申请日：2019-08-20

Applicant: Bank of America Corporation

Inventor： Sireesh Kumar Vasantha ,  Suki Ramasamy

IPC: G06F11/00 ,  G06F11/14 ,  G06N20/00

Abstract: A method for creating a common platform graphical user interface is provided. The interface may enable a user to trigger a data load job from a tool. The tool may monitor file upload events, trigger jobs and identify lists of missing or problematic file names. The tool may run on a single thread, thereby consuming relatively less system resources than a multi-thread program to perform its capabilities. The tool may enable selection of file names using wildcard variables or keyword variables. The tool may validate a list of files received against a master file list for each data load job. The tool may receive user input relating to each data load job. The tool may generate a loop within the single thread to receive information. The tool may analyze the received information and use the received information to predict future metadata associated with future data load jobs.

公开(公告)号：US10862960B2

公开(公告)日：2020-12-08

申请号：US16580220

申请日：2019-09-24

Applicant: Bank of America Corporation

Inventor： Sasidhar Purushothaman ,  Suki Ramasamy

IPC: H04L29/08 ,  G06K7/14 ,  H04L29/06 ,  G06Q10/08 ,  G06K7/10

Abstract: Methods, systems, and apparatuses for blockchain-based property management are described herein. According to a first embodiment of the disclosure, a plurality of computing systems may be established at a plurality of points along a supply chain associated with the manufacture, shipment, and sale of a physical property item. At each of the plurality of points, the plurality of computing systems may identify data corresponding to the physical property item, which may be stored on a blockchain associated with a decentralized peer-to-peer (e.g., P2P) network. According to a second embodiment of the disclosure, content creator computing devices may transmit digital property item upload requests to a digital property management computing device, which may generate smart contracts corresponding to the requests. Through execution of the smart contracts, access may be granted to digital property items and fees may be provided to the content creator computing devices.

公开(公告)号：US10705948B2

公开(公告)日：2020-07-07

申请号：US15796987

申请日：2017-10-30

Applicant: Bank of America Corporation

Inventor： Suki Ramasamy ,  Sasidhar Purushothaman

IPC: G06F11/36

Abstract: The invention utilizes a plurality of robotic process automation (RPA) bots to generate data regarding production issues within applications. The RPA bots may simulate user access to the environment (i.e. user load) to predict possible issues or failures of the application within the particular environment. The RPA bots may further be used to identify the needs of an application when migrating the application from one environment to another. To this end, the bots may perform a dynamic simulation sequence for accessing applications, which may provide a realistic simulation of user load for an application within a certain environment. In this way, bots may be used to monitor and understand the complete runtime sequence and behavior of applications that would enable administrators to select the appropriate stack of modules of the destination infrastructure.