Bank of America Corporation

Pavan K Chayanam

Srinivas Dundigalla

Sandeep Verma

Nandini Rathaur

Saurabh Mehta

Indradeep Dantuluri

Navdeep Mahajan

David Charles Shroyer

Todd Inskeep

Eric William Miller

Clay D Newton

Jaimish H Patel

Mohan Kakarla

Venkata R Bhimireddy

Ramakrishna R Yannam

Priyank R Shah

Sushil Golani

Ravisha Andar

Yogesh Raghuvanshi

Ashwini Patil

Rupal V Shah

Georgios Katsaros

Darshan K Nanjegowda

Prashanth Kolar

Surendran Thiyagarajan

Ashwin Srinivas Parameswaran

Michael McClish

Travon Lamone Kelly

Arunachalam Packirisamy

Bryan Anthony VonCannon

Vetrivel Murugan Shanmuga Ganapathy

Chirag B Bhavsar

Donald Werner Schoppe

Steven Novack

An apparatus for displaying profile information in a virtual environment comprises a processor associated with a server. The processor is configured to generate an authorization token configured to assign a first avatar to a first user, wherein the authorization token is stored within the plurality of transfers of the blockchain record. The processor is further configured to receive session data associated with the first avatar, wherein the session data comprises at least one gesture for a session in a virtual environment and to compare the at least one gesture of the session data to one or more authorized gestures to identify a first authorized gesture. The processor is further configured to display profile information in the virtual environment that is stored in a first user profile associated with the first user in response to identifying the first authorized gesture.

System and method to display profile information in a virtual environment

Systems, computer program products, and methods are described herein for machine learning based network session interaction. The present disclosure is configured to receive, from an end-point device, a user input, wherein the user input comprises natural language data; extract a first set of attributes associated with the user input; determine, using a machine learning (ML) subsystem, a first set of adaptive response actions to the user input based on the first set of attributes; and execute the first set of adaptive response actions.

System for machine learning based network session interaction

Systems, computer program products, and methods are described herein for electronic resource transfers in a distributed network via network-paired resource transfer devices. The present invention is configured to receive login credentials from a user via a user interface of an endpoint device to access an account, determine, in response to a prompt by the user, at least one network device on a wireless network, wherein the at least one network device may include a resource transfer device, display the resource transfer device on the user interface, receive a selection of the resource transfer device via the user interface, activate a user characteristic authentication feature of the resource transfer device, and receive a signal of an authenticated user characteristic from the resource transfer device.

System and method for electronic resource transfers in a distributed network via network-paired resource transfer devices

Systems, computer program products, and methods are described herein for off-network access to resources using a remote client. The present invention is configured to receive, from one or more client devices, an off-network resource access request from a user; establish one or more network sessions with the one or more client devices; determine, via the one or more network sessions, one or more device identifiers associated with the one or more client devices; retrieve, from an internal repository, a distributed ledger credential associated with the distributed ledger stored on the one or more client devices; unlock, via the one or more network sessions, access to the distributed ledger for the user via the one or more client devices using the distributed ledger credential; and terminate the one or more network sessions in response to unlocking access to the distributed ledger for the user.

System for off-network access to resources using a remote client

Systems, computer program products, and methods are described herein for secured data analysis and synthetic identity detection in a distributed ledger network. The present invention is configured to receive an event for a predetermined set of occurrences, generate a first hash packet and a second hash packet, wherein the first hash packet is generated by applying a hashing engine to a first identifier, and wherein the second hash packet is generated by applying the hashing engine to a second identifier, generate, by a distributed ledger server, a first key pair, generate, by the member of the distributed ledger network, a second key pair, encrypt a bundle using the first public key, wherein the bundle comprises the first and second hash packets, and appending the bundle to the transaction object, wherein the transaction object is distributed to the distributed ledger network.

System and method for secured data analysis and synthetic identity detection in a distributed ledger network

Systems, methods, and apparatus are provided for reverse authentication across communication channel technologies. An enterprise call application may publish an event associated with an active call to a real-time monitoring application. Each event may include an agent identifier and a customer identifier. The real-time monitoring application may maintain an event queue for the active call. The event queue may be associated with the customer identifier. A web services application may interface between the central server and a mobile device. The webs services application may subscribe to the event queue at the real-time monitoring application and push a call status to a mobile device application. The mobile device application may display the call status and the agent identifier at the mobile device application.

Real-time cross-channel reverse authentication

Arrangements for generating and using client-side generated one-time passcodes (OTP) for transaction processing are provided. A request to register a user and/or user computing device for client-side OTP processing may be received. A request to register a merchant for client-side OTP processing may also be received and, in respond, a unique access key unique to the merchant may be generated and transmitted to one or more devices. A request to process a transaction may be received and may include the unique access key, transaction details, and user device data. The request may be analyzed to determine whether one or more criteria are met. If so, client-side OTP functions may be enabled. If not, client-side OTP functions might not be enabled and, instead, a request for additional authentication data may be generated and transmitted to the user computing device for display.

Multi-computer system for user authentication based on client-side one-time passcode

Apparatus and methods are provided for extracting and displaying information and data from a stream of information on a pair of smart glasses. One or more content filters describing the desired information and data may be communicated to a content filtering module. The content filtering module may process the stream of information to search for the desired information and data. When the desired information is found within the stream of information, the content filtering module may highlight the desired information, while blurring all other information, within a display on the pair of smart glasses.

Apparatus and methods to extract data with smart glasses

User authentication and validation for performing transactions may be performed by a validation server of a service provider. For example, when a login request or purchase request is received, the request may be authenticated or validated before permitting the requested transaction. In some arrangements, the validation may be delegated to one or more devices or users external to the service provider. Multiple validation users may be consulted for each transaction request to determine a consensus validation decision. A consensus may be reached based on unanimous responses or based on a specified threshold level (e.g., more than 50% responding positively or negatively). The service provider may use this consensus determination to authorize or reject a transaction request.

De-centralized authentication in a network system

Systems, computer program products, and methods are described herein for automated regression testing. The present invention is configured to generate, using a regression testing engine, a second state instance map for a second version of an application; generate, using the regression testing engine, a first state instance map for a first version of the application; initiate a differential detection engine on the first state instance map and the second state instance map; determine, using the differential detection engine, one or more differential features in the second version of the application; initiate a machine learning model on the one or more differential features in the second version of the application; and classify, using the machine learning model, the one or more differential features into one or more classes.

System for automated regression testing

Aspects of the disclosure relate to using machine learning to simulate an interactive voice response system. A computing platform may receive user interaction information corresponding to interactions between a user and enterprise computing devices. Based on the user interaction information, the computing platform may identify predicted intents for the user, and may generate hotkey information based on the predicted intents. The computing platform may send the hotkey information and commands directing the mobile device to output the hotkey information. The computing platform may receive hotkey input information from the mobile device. Based on the hotkey input information, the computing platform may generate a hotkey response message. The computing platform may send, to the mobile device, the hotkey response message and commands directing the mobile device to convert the hotkey response message to an audio output and to output the audio output.

Virtual assistant host platform configured for interactive voice response simulation

Aspects of the disclosure relate to using machine learning to simulate an interactive voice response system. A computing platform may establish a virtual assistant session with a mobile banking application executing on a mobile device, which may include authenticating at least one authentication credential associated with an online banking account. The computing platform may receive an assistance message from the mobile device requesting assistance. Using a machine learning model, the computing platform may identify an intent of the assistance message. The computing platform may generate a response message based on the intent of the assistance message. The computing platform may send the response message and one or more commands directing the mobile device to output an audio response file based on the response message to the mobile device, which may cause the mobile device to convert the response message into the audio response file and output the audio response file.

Smart glasses may be used for intelligent UI webpage optimization leveraging UI and viewer extraction telemetry. The smart glasses may include an eyeball tracking device. Methods may include tracking the movement of the eye of a user on the UI webpage. Methods may further include capturing a segment of data within the movement of the eye of a user on a UI webpage and storing the segment of data in memory on the smart glasses. Methods may also include updating the UI webpage based on an instruction in the data segment transmitted to the UI. Additionally, methods may include autofilling the data segment at the point of user eye movement on the UI webpage. Eyeball movement data may transfer from the smart glasses to UI webpage code.

Intelligent webpage UI optimization leveraging UI and viewer extraction telemetry

Aspects of the disclosure relate to automated error processing. A computing platform may receive historical error/solution information. The computing platform may train, using the historical error/solution information, an artificial intelligence engine to automatically identify solutions for current errors for a plurality of users. The computing platform may identify current errors for a user of the plurality of users. The computing platform may notify the user of the current errors. The computing platform may receive a request to correct an error of the one or more current errors. The computing platform may identify, using the artificial intelligence engine, a solution to the error. The computing platform may automatically perform actions to achieve the solution. The computing platform may send, after performing the actions, commands directing an event processing system to process an event with which the error was associated, which may cause the event processing system to process the event.

Growing community of inventors

Alamo, CA, United States of America

Pavan K Chayanam