Bank of America Corporation

Ganesh Bonda

Manu Jacob Kurian

Jayachandra Varma

Srinivas Chavali

Cary Hudgins

Albena Noveva Fairchild

Aeric John Solow

Floyd Franklin Rock, Jr

Dimitra J Tsagris

Lixian Huang

Rajesh Mulcha

Hemantkumar D Gajjar

Michelle Davis Nichols

Sachin Lad

Petar Evan Puskarich

Michael George Horstman

Gerardo R Garcia

Lynette M Galvan

Aimee Jones

Cheryl Ledoux

Shelvia Barry

Ion Freeman

Vaughn Maurice Bivens

Sasikumar Purushothaman

Stephen C Cauthorne

Tracy Daniels

Peter Smith

Helen Harold

Lisa Komorny

Edrin Thomas

Ming Zhu

Usha Ramaswamy

Kumara Swamy Kariyappa Reddy

Systems, computer program products, and methods are described herein for an intelligent processing engine for acquisition, storage, and subsequent refresh of data from a distributed network. The present invention is configured to receive, from one or more distributed computing systems, an enterprise dataset; convert the enterprise dataset to a standardized format; store the enterprise dataset in one or more storage locations based on a characteristic of the enterprise dataset; provide the one or more distributed computing systems with remote access to the one or more storage locations; monitor, via an artificial intelligence engine, usage data from the one or more distributed computing systems, wherein the usage data is associated with remote access of the one or more storage locations; generate, via the artificial intelligence engine, a use score associated with the one or more storage locations; and automatically refresh the one or more storage locations based on the use score.

Intelligent processing engine for acquisition, storage, and subsequent refresh of data from a distributed network

A system is provided for resource sharing over a secure wireless network communication channel. In particular, the system may include an endpoint device equipped with wireless communication capabilities. An application installed on the endpoint device may cause the endpoint device to perform a wireless scan of a network for nearby devices that are configured to send, receive, and/or exchange resources. Each device may be associated with a unique identifier, where the unique identifier may be associated with one or more resource accounts. Upon receiving a selection of a unique identifier, the endpoint device may initiate a resource transfer to the device associated with the selected identifier. In this way, the system may provide a secure and efficient way to exchange resources over a wireless communication channel.

System for resource sharing over a secure wireless network communication channel

A method for determining whether an existing customer is eligible for a zero-knowledge proof ('ZKP') application is provided. The method may include determining that the existing customer possesses a private key linked to an account profile associated with the existing customer absent provision of the private key. The determining may also include executing a behavior-scan on the account profile to confirm that a score of the behavior-scan is equal to or greater than a pre-determined score. In response to the determining that the existing customer is eligible for the ZKP application, the method may include generating the ZKP application by executing an encryption algorithm on the sensitive data of the account profile to output a digital zero-knowledge token for each of the sensitive data and auto-filling each input field in the ZKP application that is associated with sensitive data with the digital zero-knowledge token.

Preventing unauthorized exposure of sensitive data

A method for enabling continuity of access to a primary dataset stored in a computer network is provided. The method utilizes a node, a computer processor, and non-transitory computer-readable media storing computer-executable instructions. The node is connected to the computer network. The method includes configuring the mobile device for wireless connection to the computer network. The method includes configuring the mobile device to receive indication that the node is disconnected from the computer network and transmit a copy of the primary dataset or a portion thereof from the computer network to the node. The method includes configuring the node to enable operations on the dataset copy and keep a record of them. The method includes configuring the node to receive indication that the node is connected to the computer network and transmit the record to the computer network.

Encrypted distributed database on a mobile device

Apparatus, methods and systems for securely trade data from one node by another node is provided. Methods may include receiving raw data at a node. Methods may include categorizing the data. Methods may include classifying the data. Methods may include assigning data grades to the data. Methods may include assigning security levels to the data. Methods may include storing the data at a data mesh. Methods may include determining a resource consumption metric ('RCM') for the data. Methods may include transmitting the data. The dataset may be acquired for a value specified by the RCM. Methods may include improving the data. Methods may include recategorizing, reclassifying and reassigning a security level to the data. Methods may include storing the improved data in the data mesh. Methods may include determining a new RCM for the improved data. Methods may include transmitting the improved data. Methods may include managing the transmission of the data with a third node.

Data swapping using a categorized data mesh

An apparatus for sorting and ordering data based on filtering parameters comprises a memory operable to store a digital folder and a processor operably coupled to the memory. The processor is configured to receive a transmission comprising verification of an interaction session established between a first user and an entity and to receive file information corresponding to one or more files stored in the digital folder from an external exchange. The processor is further configured to generate a file vector comprising the one or more files of the digital folder that is sorted based on applying a selection factor to the received file information for each of the one or more files. The processor is further configured to send a transmission to a user device comprising the file vector and an indication to utilize a first file of the file vector during the interaction session.

System and method for determining a volatile file based on a selection factor

Aspects of the disclosure relate to providing cloud computing resources from one or more cloud service providers for a client computing device through a computing platform. The client computing device may benefit from an economy of scale while being able to obtain different types of cloud services over a plurality of cloud providers. The client computing device may request an initial amount of cloud services and subsequently may request cloud services that utilize a requested amount of cloud resources. The requested amount of cloud resources may be apportioned among the plurality of cloud service providers, to provide the requested cloud service. The computing platform may also support a cloud abstraction layer interacting between client computing device and one or more cloud providers so that the client computing device can obtain cloud service in a transparent manner.

Abstraction layer to cloud services

Machine learning models, semantic networks, adaptive systems, artificial neural networks, convolutional neural networks, and other forms of knowledge processing systems are disclosed. Input data for a machine learning system may be analyzed to determine one or more potential biases in the input data. Based on the one or more potential biases, the input data may be grouped, and/or weights may be applied to one or more portions of the input data. The input data may be input into a machine learning algorithm, which may generate output data. Based on an evaluation of the output data, the input data may be grouped, and/or second weights may be applied to one or more portions of the input data.

Targeted variation of machine learning input data

Aspects of the present disclosure are directed to electronic computer implemented methods of data communication. The method includes receiving a plurality of virtual nodes with EDI data payload including a node attribute, a GPS location attribute and a biometric ID attribute and at least one data element associated with the GPS location attribute. In further aspect, the method includes electronically via a data communications network, processing the EDI data payloads including the node attribute, the GPS location attribute and the biometric ID attribute and the at least one data element associated with the GPS location attribute. Then, electronically processing the EDI data payloads in a network with machine learning and providing an electronic message responsive thereto. In yet a further aspect, the data communications method includes a step of processing the smart data set in the network with machine learning and providing an electronic message responsive thereto.

Method and system for data communication

A method for bifurcating data storage to enable implementation and manipulation of an interactive entitlement structure is provided. The method may include displaying a GUI and copying information corresponding to the list of entitlements to using one or more features associated with the GUI. The method may copy from a remote System of Record to a cache memory local to the GUI. The method may include displaying on the GUI signatories with an entitlement authorization; receiving a modification of the entitlement authorization; and extracting a signature of a signatory with entitlement authorization. An input signal may be received that indicates an input signal indicator is hovering over the signatory and displaying, on the GUI, in response to the hovering indication, 1) a copy of the signature of the signatory; 2) a hierarchal list of signatories with current entitlement authorization; and/or 3) a listing of documents signed by a signatory.

Methods and apparatus for bifurcating data storage for enabling implementation and manipulation of an interactive hierarchical entitlement structure

A method for providing hierarchal client entitlement information in a graphical user interface ('GUI') is provided. The method includes deploying the information on a mobile platform. The method may further include inventorying a list of possible landing sites for deploying the mobile platform and determining which of the inventoried landing sites requires, upon deployment, a connection to an Oracle database. The method may further include eliminating any member of the list of possible landing sites that requires, upon deployment, a connection to the Oracle database from the list of possible landing sites. Following the eliminating, the method may include providing a user, via the GUI, a selection capability to select one of the list of possible landing sites as a default landing site for the deploying the mobile platform.

Methods and apparatus for providing viable landing sites for a mobile deployment of, inter alia, an interactive hierarchical entitlement feature

A method for providing data warehousing for a list of authorized signatories is provided. The method may include displaying a hierarchal list of signatories with at least one entitlement authorization level. The method may use a GUI to display the list of entitlements in an array of at least three rows of entitlement authorization levels. The method may further include receiving, from the client, a modification to the at least one entitlement authorization. The method may extract, from client documents a signature of a signatory with entitlement authorization. The method may receive a command to hover, on a Graphical User Interface (GUI), over the signatory. In response to the hovering, the may display, preferably on a hierarchical display, a copy of the signature of the signatory, a hierarchical list of signatories with current entitlement authorization, and a listing of documents signed by each of the signatories.

Growing community of inventors

Charlotte, NC, United States of America

Ganesh Bonda