Bank of America Corporation

Pratap Dande

Rahul Yaksh

Gilberto R Dos Santos

JayaBalaji Murugan

Sailesh Vezzu

Elvis Nyamwange

Amer Ali

Brian Neal Jacobson

Erik Dahl

Rahul Shashidhar Phadnis

Naga Vamsi Krishna Akkapeddi

Hari Vuppala

Siten Sanghvi

Erik D Dahl

Steven Reich

Tileshia Brenda Alford

Vishwanath Prasad Karra

Lalit Dhawan

Stephen Thomas Shannon

Kevin A Delson

Morgan Stewart Allen

Robert Nyeland Huggins

Brandon Sloane

Gilbert M Gatchalian

Vijaya L Vemireddy

Manikumar Juttukonda

Swetha Ravi

Akhila Mylaram

Vinit Shah

Joseph Benjamin Castinado

Jinna Zevulun Kim

Naoll Addisu Merdassa

Michael Joseph Carroll

Richard Scot

Susan J Moss

Daniel P McCoy

John Mckenzie

Manoj Bohra

Murali M Atyam

Jedidiah Wallace

Rohit Sawkar

Sarveshwar Kuncha

George Albero

Eric Dryer

Linda Haddad

Dustin Paul Stocks

Richard Martin Seymour Scot

Kapil Chhibber

Systems, computer program products, and methods are described herein for dynamic, secure, token-based snapshot generation. The present disclosure is configured to receive, via an alternative access point, a user request to receive a snapshot of one or more resource repositories associated with a user; generate, using a token generator, a token based on at least the user request; authenticate, using an authentication subsystem, the user using the token to confirm legitimacy of the user request; generate, using a snapshot generator, the snapshot of the one or more resource repositories based on at least confirming the legitimacy of the user request, wherein the snapshot is generated based on pre-defined user preferences; embed, using a digital signature subsystem, the snapshot with a digital signature serving as an attestation; and display the snapshot on the user input device.

System for dynamic, secure, token-based snapshot generation

An apparatus may include a computer processor operating in a data center and running an AI/ML model. The apparatus may include a trace log agent and a telemetry agent. The computer processor may be configured to train and run the AI/ML model to determine if a resource in the data center is being utilized or is idle by using data provided by the trace log agent and a telemetry agent. The apparatus may include a status check engine, a discovery engine, and an analytics engine. The computer processor may be configured to run each of these engines to confirm a prediction by the AI/ML model that the resource is idle. The computer processor may be configured to notify an administrator of the data center if the AI/ML model predicts the resource is idle and the engines provide increased confidence to the prediction.

Detection of underutilized data center resources

Apparatus and methods are provided for an autonomous bot that learns from user activity. The bot then autonomously acts to complete tasks that the user typically performs. The bot may detect and act in response to detecting a problem with an application. The bot may dynamically generate guidance that assists the user completing a target task. Illustrative guidance may include highlighting differences between software applications, identifying information missing from a document or form and demonstrating how to obtain the needed information or complete a task.

Self-healing bot

Systems, computer program products, and methods are described herein an automated system for restarting large scale cluster supercomputers. The present disclosure is configured to receive a request to reboot a supercomputer cluster, wherein the request comprises a sequence of reboot instructions; determine, using a data integrity engine, whether a current state of the supercomputer cluster meets reboot requirements, wherein the reboot requirements are associated with a core logic of the data integrity engine; and execute the sequence of reboot instructions in an instance where the current state of the supercomputer cluster meets the reboot requirements.

Automated system for restarting large scale cluster supercomputers

A method triggers a user-definable emergency response in a voice-command based authentication system. The method receives gestures on a mobile device, and provides an interface at the mobile device to trigger an automatic interaction with an artificial intelligence ('AI') engine stored on the mobile device. The AI accesses a database for storing legacy information associated with the caller and runs an application program interface that provides the AI engine access to the legacy information. The AI engine receives the gestures generated by the caller, accesses the database storing legacy information generated by the caller and constructs an emergency profile of the caller. The emergency profile may be based on the legacy information, a machine learning model; and/or a user training session that initializes an emergency response signal threshold level. When the gestures exceed the emergency response signal threshold level, the method may generate the emergency response.

Voice command with emergency response

An apparatus may include conduction of a secure transfer at a point of identification using image recognition and blockchain authentication. The apparatus may include a computer processor, a camera, an image capturing machine, a reference database, an XGBoost image recognition machine learning model, and a blockchain. The computer processor may be an edge computing device. The computer processor may be configured to identify a user at a point of identification by capturing an image, running the Features detection engine to identify sets of features, running the XGBoost image recognition machine learning model to identify labels in the sets of features, and matching the sets of features and labels to a record in the reference database. The computer processor may further be configured to seek user approval on the user's portable device before providing the transfer. Once the user has approved the transfer, the transfer may be recorded in the blockchain.

Automated image detection utilizing a convolutional XGBoost image recognition machine learning model on edge computing with blockchain mobile authentication

Aspects of the disclosure relate to detecting attempts to violate the security of an ATM. A computing system may determine whether an ATM is being used to perform a transaction. Based on the ATM not being used to perform a transaction, images of portions of the ATM may be generated. Estimated dimensions of the ATM may be determined. Digital twin data may be retrieved. The digital twin data may comprise a digital twin representation of the ATM and measured dimensions of the ATM. There may be a determination of whether the estimated dimensions of the ATM match the measured dimensions of the ATM. Based on the estimated dimensions of the ATM not matching the measured dimensions of the ATM, the ATM may be deactivated. Furthermore, a message indicating that the ATM was deactivated may be sent to a validation computing system.

Automated teller machine digital twin with an anti NFC/RFID skimming threat device through mist computation

Systems, methods, and computer program products are provided herein for data synchronization and replication in distributed networks. An example method includes monitoring performance of operations on a source computing cluster that are associated with one or more applications and replicating data entries associated with the operations on a data recovery computing cluster communicably coupled with the source computing cluster. The method further includes determining an outage condition associated with the source computing cluster and determining a first operation whose execution is pending on the source computing cluster. The first operation also include first execution characteristics defining instructions for performance of the first operation as related to at least a first application. The method also include executing the first operation on the data recovery computing cluster based on the one or more first execution characteristics.

Systems and methods for data synchronization and replication in distributed networks

An application mapping engine may determine dependencies in existing executable application by monitoring and analyzing process flow and data flow of the application during runtime execution. The application mapping engine may generate dependency visualization maps that illustrate dependency interaction information.

Application dependency visualization

Systems and methods for multi-dimensional voice-based digital authentication are provided. Methods include receiving, at a central server from a remote user device, a request to access a protected digital resource; displaying a prompt, at the device, requesting a spoken password expression; capturing, at the device, an expression spoken in response to the prompt; determining that the expression satisfies predetermined attributes of the password expression; calculating a voice pattern representation of the expression; determining that the voice pattern representation of the expression satisfies a threshold similarity to a voice pattern representation of the user that is stored in a database at the central server; and, in response to the expression satisfying the predetermined attributes of the password expression and satisfying the threshold similarity to the voice pattern representation of the user that is stored in the database at the central server, authorizing the device to access the protected digital resource.

Multi-dimensional voice-based digital authentication

A system is provided for implementing technology infrastructure upgrades using an automated electronic data aggregation tool. In particular, the system may receive a request from an endpoint device to generate a technology remediation framework for remediating a technology infrastructure issue. In response to the request, the system may use an automated electronic data aggregation tool to receive data associated with the technology infrastructure issue from one or more data sources. The system may then automatically generate the technology remediation framework using the received data and present the framework to one or more users associated with the technology infrastructure issue. In this way, the system provides an efficient way to implement upgrades and remediate issues within a technology infrastructure.

System and method for implementing technology infrastructure upgrades using an automated electronic data aggregation tool

Systems, computer program products, and methods are described herein for a machine learning based system for optimized CPU utilization in data transformation. The present disclosure is configured to receive a new data segment; retrieve characteristics of the new data segment; determine, using a trained machine learning model, an encryption algorithm, and a compression algorithm for implementation on the new data segment based on at least the characteristics of the new data segment; determine, using the trained machine learning model, an order of implementation associated with the implementation of the encryption algorithm and the compression algorithm; and implement the encryption algorithm and the compression algorithm on the new data segment in the determined order of implementation.

Machine learning based system for optimized central processing unit (CPU) utilization in data transformation

Systems, computer program products, and methods are described herein for tracking cross border data transmissions and generating a data passport entry in an electronic network. The present disclosure is configured to receive a file, the file comprising file data; receive an origination location identifier and destination location identifier of the file; parse the file data and apply a natural language processor to the file data to generate a structured meaning of the file data; compare the structured meaning of the file data to a theme database to generate a file theme score; determine, based on the destination location identifier, a destination theme score; generate a hash value for the file; and generate a data passport entry for the file based on the file name, the origination location identifier, the destination location identifier, the file theme score, the destination theme score, the hash value, and a count score.

Systems, methods, and apparatuses for tracking cross border data transmissions and generating a data passport entry in an electronic network

Embodiments of the present invention provide a secure edge device for contactless resource distribution and resource crediting from an automobile. In this way, the edge device may be affixed to or embedded within the side or the mirror of an automobile and be able to communicate with a third party device using near field communication. Upon authentication of a user, the edge device may communicate with the third party to transmit and present data about the resource distribution to the automobile display. The system allows for the user to select the resource distribution via the automobile display and provide a completion of resource distributions.

Secure edge device for contactless vehicle processing

Growing community of inventors

Saint Johns, FL, United States of America

Pratap Dande