公开(公告)号：US11586599B1

公开(公告)日：2023-02-21

申请号：US17523994

申请日：2021-11-11

Applicant: Bank of America Corporation

Inventor： Ravikanth Tadepally ,  Suki Ramasamy ,  Mohan Sundaresan ,  Sreenivas Chintada

IPC: G06F16/00 ,  G06F16/215 ,  G06F16/25 ,  G06F16/2458 ,  G06F16/22 ,  G06F16/35 ,  G06F16/903 ,  G06F30/27 ,  G06F16/2455

Abstract: Systems, methods and apparatus are provided for AI-based generation of data warehouse quality protocols. An attribute classifier may quantify relationships between source data and target data from an enterprise data warehouse. A data quality engine may apply these relationships to identify specific data quality concerns and generate customized data quality metrics. A user interface may enable a user to enter parameters for the classification protocols and corresponding rule-based generation of data quality metrics.

公开(公告)号：US11558392B2

公开(公告)日：2023-01-17

申请号：US17494035

申请日：2021-10-05

Applicant: Bank of America Corporation

Inventor： Jisoo Lee ,  John C. Checco ,  William August Stahlhut ,  Joseph Castinado ,  Brad Romano ,  Suki Ramasamy ,  Patrick N. Lawrence ,  Lekha Ananthakrishnan

IPC: H04L9/40 ,  G06Q20/10 ,  G06Q10/06

Abstract: Methods and systems for using block chain technology to verify transaction data are described herein. A computing platform may receive data about events related to transactions, personal or corporate information, supply chains, and other relevant information about a person or corporate entity. The event information may be received, aggregated, and processed to determine metadata about the person or corporate entity. The metadata may indicate, for example, a trustworthiness of the person or corporate entity for various purposes. Such event information and/or metadata may be stored as transactions in a block chain that may be accessible by counterparties to a potential transaction involving the person or corporate entity. The automated event processing computing platform may further use automated techniques to implement smart transactions between the person/entity and counterparty based on the trust metadata.

公开(公告)号：US11343136B2

公开(公告)日：2022-05-24

申请号：US17060108

申请日：2020-10-01

Applicant: BANK OF AMERICA CORPORATION

Inventor： Suki Ramasamy ,  Sai Sushma Dasam ,  Bhuvaneswari Govindarajan ,  Swetha Madhalam ,  Subhashri Seshadri ,  Radhika Thilakar

IPC: H04L41/0663 ,  H04L9/40 ,  H04L47/783 ,  H04L47/74

Abstract: A system is provided for real time recovery of resource transfers over a distributed server network. In particular, the system may comprise one or more computing systems within a distributed server network, where each computing system may be a node which hosts a copy of a distributed electronic data register. Upon receiving a resource transfer request, the system may, via a system sequence monitor, monitor the various nodes for status updates on the resource transfer. Upon detecting that a node has failed to execute one or more steps in the resource transfer process, a resource transfer restorer may perform a restore process based on the information stored within the distributed data register. The system sequence monitor may further monitor the restore process to ensure the successful completion thereof. In this way, the system may provide instantaneous recovery of failed resource transfers.

公开(公告)号：US20220027908A1

公开(公告)日：2022-01-27

申请号：US17494158

申请日：2021-10-05

Applicant: Bank of America Corporation

Inventor： Jisoo Lee ,  John C. Checco ,  William August Stahlhut ,  Joseph Castinado ,  Brad Romano ,  Suki Ramasamy ,  Patrick N. Lawrence ,  Lekha Ananthakrishnan

IPC: G06Q20/40 ,  H04L29/06 ,  H04L9/06 ,  H04L9/32

Abstract: Methods and systems for using block chain technology to verify transaction data are described herein. A computing platform may receive data about events related to transactions, personal or corporate information, supply chains, and other relevant information about a person or corporate entity. The event information may be received, aggregated, and processed to determine metadata about the person or corporate entity. The metadata may indicate, for example, a trustworthiness of the person or corporate entity for various purposes. Such event information and/or metadata may be stored as transactions in a block chain that may be accessible by counterparties to a potential transaction involving the person or corporate entity. The automated event processing computing platform may further use automated techniques to implement smart transactions between the person/entity and counterparty based on the trust metadata.

公开(公告)号：US11196747B2

公开(公告)日：2021-12-07

申请号：US15834346

申请日：2017-12-07

Applicant: Bank of America Corporation

Inventor： Jisoo Lee ,  John C. Checco ,  William August Stahlhut ,  Joseph Castinado ,  Brad Romano ,  Suki Ramasamy ,  Patrick Nicholas Lawrence ,  Lekha Ananthakrishnan

IPC: H04L29/06 ,  G06Q20/10 ,  G06Q10/06

Abstract: Methods and systems for using block chain technology to verify transaction data are described herein. A computing platform may receive data about events related to transactions, personal or corporate information, supply chains, and other relevant information about a person or corporate entity. The event information may be received, aggregated, and processed to determine metadata about the person or corporate entity. The metadata may indicate, for example, a trustworthiness of the person or corporate entity for various purposes. Such event information and/or metadata may be stored as transactions in a block chain that may be accessible by counterparties to a potential transaction involving the person or corporate entity. The automated event processing computing platform may further use automated techniques to implement smart transactions between the person/entity and counterparty based on the trust metadata.

公开(公告)号：US20200267179A1

公开(公告)日：2020-08-20

申请号：US16278635

申请日：2019-02-18

Applicant: BANK OF AMERICA CORPORATION

Inventor： Suki Ramasamy ,  Satish Kumar Arunachalam Lakshmanan ,  Sudhansu Mohanty ,  Kumaraguru Mohan

IPC: H04L29/06 ,  G06N20/20 ,  G06F17/28

Abstract: A data manipulation detection device that includes an alert engine configured to receive data from a data source, apply a set of rules for a threat model to the data using a first machine learning model, and to obtain an alert vector in response to applying the set of rules to the data. The device further includes an alert feedback engine configured to receive alert feedback that includes text comments for the alert vector. The device further includes a natural language processing (NLP) training engine configured to identify the text comments for the alert status and identify keywords within the text comments associated with a rule parameter value for a rule. The NLP training engine is further configured to determine a new rule parameter value based on the identified keywords and modify a rule parameter value for the rule based on the new rule parameter value.

公开(公告)号：US20200027066A1

公开(公告)日：2020-01-23

申请号：US16584442

申请日：2019-09-26

Applicant: Bank of America Corporation

Inventor： Suki Ramasamy ,  Sasidhar Purushothaman

IPC: G06Q20/06 ,  G06Q20/36 ,  H04L9/32 ,  G06Q20/38 ,  H04L29/06 ,  H04L29/08 ,  H04L9/06

Abstract: Methods, systems, and apparatuses for blockchain-based digital token utilization are described herein. Data corresponding to digital tokens may be stored on a blockchain associated with a decentralized peer-to-peer (P2P) network. Smart contracts for collecting digital tokens in exchange for service provider tokens may be deployed to the blockchain. Smart contracts for distributing digital tokens based on credit tokens may be deployed to the blockchain. Through execution of the smart contracts, digital tokens may be utilized by users in various ways.

公开(公告)号：US11880346B2

公开(公告)日：2024-01-23

申请号：US17241144

申请日：2021-04-27

Applicant: Bank of America Corporation

Inventor： Ravikanth Tadepally ,  Suki Ramasamy ,  Mohan Sundaresan

IPC: G06F16/215 ,  G06F16/28 ,  G06N5/04 ,  G06N20/00 ,  G06F16/25

CPC classification number: G06F16/215 ,  G06F16/254 ,  G06F16/285 ,  G06N5/04 ,  G06N20/00

Abstract: Systems, methods and apparatus are provided for AI-based generation of data warehouse quality protocols. An attribute classifier may quantify relationships between source data and target data from an enterprise data warehouse. A data quality engine may apply these relationships to identify specific data quality concerns and generate customized data quality metrics.

公开(公告)号：US11809960B2

公开(公告)日：2023-11-07

申请号：US16897352

申请日：2020-06-10

Applicant: BANK OF AMERICA CORPORATION

Inventor： Suki Ramasamy

IPC: G06N10/00 ,  G06Q40/04 ,  G06N5/04 ,  G06N20/00

CPC classification number: G06N10/00 ,  G06N5/04 ,  G06N20/00 ,  G06Q40/04

Abstract: Real-time prevention of computerized event manipulation through the use of Artificial Intelligence (AI)-assisted quantum computing. Determine, at an event request time, if the event is being manipulated and/or is part of a manipulation scheme and, if so, prevent the event from being initiated. A classical computing platform analyzes a batch of historical events using AI including machine learning classification algorithms to result in a manipulation indicator for each of the historical events. A quantum computing platform converts each of the historical events in the batch to a qubit sequence based on attributes associated with the events. The qubits are entangled with qubits of a primary qubit sequence and maintained an entangled list. When an event is requested, attributes associated with the pending event are communicated to the quantum computing platform, which transforms/converts the pending event to the primary qubit sequence based on the attributes associated with the pending event.

公开(公告)号：US11729180B2

公开(公告)日：2023-08-15

申请号：US17557841

申请日：2021-12-21

Applicant: Bank of America Corporation

Inventor： Jisoo Lee ,  John C. Checco ,  William August Stahlhut ,  Joseph Castinado ,  Brad Romano ,  Suki Ramasamy ,  Patrick Nicholas Lawrence ,  Lekha Ananthakrishnan

IPC: H04L9/40 ,  G06Q20/10 ,  G06Q10/0631

CPC classification number: H04L63/102 ,  G06Q10/06315 ,  G06Q20/10

Abstract: Methods and systems for using block chain technology to verify transaction data are described herein. A computing platform may receive data about events related to transactions, personal or corporate information, supply chains, and other relevant information about a person or corporate entity. The event information may be received, aggregated, and processed to determine metadata about the person or corporate entity. The metadata may indicate, for example, a trustworthiness of the person or corporate entity for various purposes. Such event information and/or metadata may be stored as transactions in a block chain that may be accessible by counterparties to a potential transaction involving the person or corporate entity. The automated event processing computing platform may further use automated techniques to implement smart transactions between the person/entity and counterparty based on the trust metadata.