公开(公告)号：US12106305B2

公开(公告)日：2024-10-01

申请号：US17568090

申请日：2022-01-04

Applicant: BANK OF AMERICA CORPORATION

Inventor： Durga Prasad Kutthumolu ,  Laxma Reddy Gavinolla ,  Mukesh Singh ,  Venkata Karthik Ryali ,  Sachin S. Nagvekar

IPC: G06Q20/40 ,  G06Q20/38

CPC classification number: G06Q20/40145 ,  G06Q20/38215 ,  G06Q20/3825 ,  G06Q20/3827

Abstract: Systems, computer program products, and methods are described herein for enhanced authentication using voice modulation matching. The present invention is configured to capture, via a first user input device, a digital audio stream of speech data of a first user; receive one or more identification credentials associated with the first user; encode the speech data to generate encoded speech data; query one or more data repositories using the encoded speech data; in response, retrieve, encoded speech data associated with a second user that matches the encoded speech data of the first user; determine that the first user has a familial relationship with the second user; generate an authentication token for the first user based on at least determining that the first user has a familial relationship with the second user; and record the authentication token for the first user in a distributed ledger associated with the second user.

公开(公告)号：US20240311117A1

公开(公告)日：2024-09-19

申请号：US18123124

申请日：2023-03-17

Applicant: BANK OF AMERICA CORPORATION

Inventor： Sakshi Bakshi ,  Durga Prasad Kutthumolu

IPC: G06F8/61 ,  G06F8/71

CPC classification number: G06F8/61 ,  G06F8/71

Abstract: Embodiments of the present invention provide a system for generating and transmitting visualized software code release and deployment functions to a mixed reality environment. The system is configured for determining that a user has submitted a software code associated with a software code release of a software application, identifying, one or more components in the software code, generating a release file comprising at least information associated with the one or more components, generating a summary file comprising a summary of the release file, transmitting the summary file to a distributed computing environment, converting the summary file to an immersive visualized file in the distributed computing environment, and displaying the immersive visualized file to one or more users comprising the user in the distributed computing environment, wherein the distributed computing environment is integrated with a mixed reality environment for displaying the immersive visualized file to the one or more users.

公开(公告)号：US12088604B2

公开(公告)日：2024-09-10

申请号：US17740697

申请日：2022-05-10

Applicant: BANK OF AMERICA CORPORATION

Inventor： Sakshi Bakshi ,  Durga Prasad Kutthumolu

IPC: H04L9/40

CPC classification number: H04L63/1416 ,  H04L63/1425 ,  H04L63/1433 ,  H04L63/145 ,  H04L63/20

Abstract: A security system environment that uses artificial intelligence (AI) and machine learning (ML) (collectively “AI/ML”) to provide dynamic detection of potential security breaches and a mixed realty interface to decision the potential security breaches.

公开(公告)号：US12039044B2

公开(公告)日：2024-07-16

申请号：US17837874

申请日：2022-06-10

Applicant: Bank of America Corporation

Inventor： Sakshi Bakshi ,  Durga Prasad Kutthumolu

IPC: H04L29/06 ,  G06F21/31 ,  G06F21/55

CPC classification number: G06F21/554 ,  G06F21/316 ,  G06F2221/034

Abstract: A system includes a plurality of computing nodes that form a blockchain network, wherein one or more of the computing nodes is a metaverse computing node configured to generate a mixed reality environment. A processor of at least one computing node is configured to record a plurality of data interactions performed by a user using a metaverse computing node, determine, based on the plurality of data interactions, a data interaction behavior of the user in relation to the data file, detect that a data interaction performed in relation to the data file of the user is not in accordance with the data interaction behavior of the user, determine that the data interaction is a suspicious data interaction, assign an alert level to the suspicious data interaction, determine at least one action to be performed based on the alert level and perform the at least one action.

公开(公告)号：US20230401312A1

公开(公告)日：2023-12-14

申请号：US17837874

申请日：2022-06-10

Applicant: Bank of America Corporation

Inventor： Sakshi Bakshi ,  Durga Prasad Kutthumolu

IPC: G06F21/55 ,  G06F21/31

CPC classification number: G06F21/554 ,  G06F21/316 ,  G06F2221/034

Abstract: A system includes a plurality of computing nodes that form a blockchain network, wherein one or more of the computing nodes is a metaverse computing node configured to generate a mixed reality environment. A processor of at least one computing node is configured to record a plurality of data interactions performed by a user using a metaverse computing node, determine, based on the plurality of data interactions, a data interaction behavior of the user in relation to the data file, detect that a data interaction performed in relation to the data file of the user is not in accordance with the data interaction behavior of the user, determine that the data interaction is a suspicious data interaction, assign an alert level to the suspicious data interaction, determine at least one action to be performed based on the alert level and perform the at least one action.

公开(公告)号：US11822559B2

公开(公告)日：2023-11-21

申请号：US17713435

申请日：2022-04-05

Applicant: Bank of America Corporation

Inventor： Geetika Sen ,  Krishna Rangarao Mamadapur ,  Durga Prasad Kutthumolu

IPC: G06F16/2457 ,  G06F16/2455 ,  G06F40/279 ,  G10L15/18 ,  G10L15/30 ,  G10L15/22

CPC classification number: G06F16/24575 ,  G06F16/24552 ,  G06F40/279 ,  G10L15/18 ,  G10L15/22 ,  G10L15/30

Abstract: Apparatus and methods for generating a holographic structure are provided. The methods may include retrieving datasets stored in an object-based database. Each dataset may store a record of an interaction between a customer and an entity. The methods may include running a first routine and a second routine on the retrieved datasets to generate a holographic token (“HT”). The HT may store user questions and an emotion. In response to an edge gateway receiving a request, from an edge device associated with the customer, to establish a communication session leveraging extended reality capabilities, the methods may include activating a representative device to establish a communication session with the edge device. The methods may also include triggering the representative device to display a holographic structure for viewing via the representative device that includes a facial image displaying the emotion and the subset of the extracted user questions.

公开(公告)号：US20230344520A1

公开(公告)日：2023-10-26

申请号：US17726630

申请日：2022-04-22

Applicant: Bank of America Corporation

Inventor： Venugopal Kailasa ,  Laxma Gavinolla ,  Durga Prasad Kutthumolu ,  Ramprasath S

IPC: H04B10/50 ,  H04B10/03 ,  H04B10/079 ,  H04B10/80 ,  G06N5/02

CPC classification number: H04B10/502 ,  H04B10/03 ,  H04B10/0793 ,  H04B10/808 ,  G06N5/025

Abstract: Data server and client device logs may be transmitted over a network for analysis to identify potential issues such as errors. Because the logs may include significant amounts of data, the logs may be transmitted through a quantum smart grid network that leverages Li-Fi technology for increased bandwidth and improved latency. Data servers in a data center may transmit their logs to an aggregation point or node through an internal Li-Fi network. These logs may then be transmitted over the smart grid network which may carry both power and data communications.

公开(公告)号：US20230315740A1

公开(公告)日：2023-10-05

申请号：US17713435

申请日：2022-04-05

Applicant: Bank of America Corporation

Inventor： Geetika Sen ,  Krishna Rangarao Mamadapur ,  Durga Prasad Kutthumolu

IPC: G06F16/2457 ,  G06F16/2455 ,  G10L15/22 ,  G10L15/18 ,  G10L15/30 ,  G06F40/279

CPC classification number: G06F16/24575 ,  G06F16/24552 ,  G06F40/279 ,  G10L15/18 ,  G10L15/30 ,  G10L15/22

Abstract: Apparatus and methods for generating a holographic structure are provided. The methods may include retrieving datasets stored in an object-based database. Each dataset may store a record of an interaction between a customer and an entity. The methods may include running a first routine and a second routine on the retrieved datasets to generate a holographic token (“HT”). The HT may store user questions and an emotion. In response to an edge gateway receiving a request, from an edge device associated with the customer, to establish a communication session leveraging extended reality capabilities, the methods may include activating a representative device to establish a communication session with the edge device. The methods may also include triggering the representative device to display a holographic structure for viewing via the representative device that includes a facial image displaying the emotion and the subset of the extracted user questions.

公开(公告)号：US20230281503A1

公开(公告)日：2023-09-07

申请号：US17686072

申请日：2022-03-03

Applicant: Bank of America Corporation

Inventor： Shailendra Singh ,  Durga Prasad Kutthumolu

IPC: G06N20/00 ,  G06K9/62 ,  G06F16/909

CPC classification number: G06N20/00 ,  G06K9/6253 ,  G06F16/909

Abstract: An artificial intelligence/machine learning (AI./ML) model decisioning and rectification system is configured to allow a user to challenge decisions output by systems processing AI/ML models. The user interacts with the AI/ML model decisioning and rectification system, directly or via another computing device, to trigger AI/ML training data acquisition from multiple regional data stores processing the AI/ML model. A data acquisition module is composite apparatus that intelligently fetches training data sets applicable to the particular AI/ML model in a distributed network and initiates intelligent retraining of the AI/ML model based on an aggregated regional training data set.

公开(公告)号：US20230281044A1

公开(公告)日：2023-09-07

申请号：US17686262

申请日：2022-03-03

Applicant: Bank of America Corporation

Inventor： Durga Prasad Kutthumolu ,  Sachin S. Nagvekar ,  Venkata Karthik Ryali

IPC: G06F9/50 ,  G06F11/30

CPC classification number: G06F9/5016 ,  G06F11/3075 ,  G06F11/3037 ,  G06N20/00

Abstract: A system comprising databases, database processors, a job ingestion processor, and a processor. The databases store job information for previously performed jobs. Each previously performed job comprises timestamp, job name, and amount of memory used information. The database processors detect changes to job information of the previously performed jobs and, in response, communicate the job information associated with the affected jobs to a job ingestion processor. The job ingestion processor parses the job information into timestamp, job name, and amount of memory used variables for each affected job. The parsed job information comprises timestamp values, job name values, and amount of memory used values. The processor stores the job information variables in a data log. The processor uses the job information variables to train a machine learning algorithm and the trained machine learning model to predict amounts of temporary memory needed to execute job requests.