Bank of America Corporation

Paul Roscoe

Manu Jacob Kurian

Sorin N Cismas

Saritha Vrittamani

Mahesh Kumar Bhashetty

Jerzy Miernik

Padmanabhan Iyer

Karl W Thomas

Jo-Ann Taylor

Crystal M Sundaramoorthy

Gopikrishna Nemalikanti

Thomas A Sodano

Timothy Lamonte Atwell

Balaji Subramanian

Srinivasa D Madireddi

Michael S Karafotis

Jay Varma

Vibhuti Damania

Himabindu Keesara

Nathan Allen Eaton, Jr

William McCann

Jeffrey McGonnell

Patrick Nicholas Lawrence

James P Scopis

Thomas J Durkin

Floyd Franklin Rock, Jr

Gregory Sito

Renee Marie Melin

Alex Yi-Shiou Yang

Kevin L Kralman

Abhishek Amatya

Linda Smeraldi-Lopez

Mark E Wenzel

Richard A Mobley

Mitchell T Boston

Arrangements for controlling data retrieval are provided. In some aspects, a data request may be received by a computing platform. A pre-fetch engine may be executed to analyze the data request and generate, using a machine learning model, a pre-fetch template identifying data sets responsive to the request. The pre-fetch template may be transmitted to one or more data repositories and response data sets including data use parameters may be received. The received plurality of data sets may be analyzed to determine whether a triggering action has occurred. If a triggering action has occurred, one or more data modification functions may be performed. For instance, data may be deleted, prevented from further processing, or the like, in response to detection of a triggering action.

Pre-fetch engine with data expiration functionality for mesh data network

Aspects of the disclosure relate to real-time management of data container generation, authorization, and throttling. In some embodiments, a computing platform may receive a first data container and retrieve a first data container management file associated with the first data container. The computing platform may then perform a first preliminary analysis of the first data container, including analyzing the first data container and the first data container management file to determine whether a first predetermined communication path requires additional throttling analysis. If additional throttling analysis is required, the computing platform may send analysis messages to a data container throttling module to extract a first communication entity listed in the first predetermined communication path. Thereafter, the computing platform may retrieve real-time operating conditions for the first communication entity to determine that the first data container requires additional throttling processing, and queue, by the data container throttling module, the first data container.

Dynamic computing platform for real-time data container generation, authorization, and throttling management

Arrangements for controlling data retrieval are provided. In some aspects, a data request may be received by a computing platform. A pre-fetch engine may be executed to analyze the data request and generate, using a machine learning model, a pre-fetch template identifying data sets responsive to the request. The pre-fetch template may be transmitted to one or more data repositories and at least one data repository may transmit response data sets to the computing platform. An issue in the mesh network through which the data sets are transmitted may be detected and the data sets may be stored at a data silo associated with a node of the mesh network. An alternate transmission path may be generated and the data may be transmitted from the data silo of the node to another node in the mesh network based on the alternate transmission path.

Pre-fetch engine for mesh data network having date micro silos

Arrangements for controlling data retrieval are provided. In some aspects, a data request may be received by a computing platform. A pre-fetch engine may be executed to analyze the data request and generate, using a machine learning model, a pre-fetch template identifying data sets responsive to the request. The pre-fetch template may be transmitted to one or more data repositories and response data sets may be received. The response data sets may be generated by a data controller associated with a respective data repository. The data controller may identify data sets and evaluate the date sets to determine whether they meet local requirements of the geographic location of the data repository. The received data sets may be analyzed to identify missing data sets. If missing data sets are identified, the data may be processed by ignoring the missing data sets or inserting a substitute value for the missing data sets.

Pre-fetch engine with security access controls for mesh data network

A system that includes a tagging engine and a routing engine. The tagging engine is configured to link a data element with an access control tag. The tagging engine is configured to apply context rules to the access control tag array based on the content of the data element to change the access control tag value for one or more of the access control tags. The tagging engine sends the data element with the access control tag array to a target network node within an end user group. The routing engine is configured to identify an access control tag value in the access control tag array corresponding with the end user group and to forward the data element to the target network node in response to determining that the access control value is greater than or equal to the access control level associated with the end user group.

Access control value systems

Aspects of the disclosure relate to transferring data using a smart reconciliation system. A computing platform may receive, from a smart reconciliation node, a data file. Thereafter, the computing platform may retrieve, based on the data file, a data file profile indicating historical information associated with the data file. Then, the computing platform may determine an issue associated with the data file. Subsequently, the computing platform may identify, based on the issue associated with the data file, a data file level error indicating a level where the issue occurred. Next, the computing platform may generate, based on the data file level error, one or more commands directing the smart reconciliation node to execute an automated response for the issue associated with the data file. Then, the computing platform may transmit the one or more commands. Afterwards, the computing platform may update the data file profile.

Transferring data using a smart reconciliation system

Embodiments of the invention are directed to a system, method, or computer program product for providing inline authorization structuring for activity data transmissions. In particular, the invention provides a secure platform for transmission of activity data associated with an electronic activity and performance of the electronic activity at a recipient system based on inserting an encoded authorization instruction into inline activity data. The encoded authorization instruction comprises a processing instruction required for processing an associated activity data string. The invention provides a novel method for encoding authorization instructions associated with activity data strings. Another aspect of the invention is directed to constructing an inline activity data set configured for secure transmission to a recipient system, for performing an electronic activity associated with the inline activity data set at the recipient system.

Inline authorization structuring for activity data transmission

The invention relates generally to an improved application structure that allows for layered governance of different or competing functions within a micro application services framework. A segmented layering allows both a horizontal array and a vertical array to build a three dimensional mesh application structure to support multiple services. Each service is supported by base and foundation layers that may be technology agnostic and allow for adaptation according to technological progression or policy evolvement without the need to alter the core micro application services framework. The collection of the framework and supporting layers can be encapsulated into nodes, and a collection of nodes can be grouped into a container hub. Nodes may draw learned behaviors from other nodes, and can isolate themselves when necessary.

Re-deployable elastic framework

A system for creating a synthetic voice identifier may include a plurality of synthesized voice authorization (SVA) devices and a biometric combinatory device (BCD). The SVAs may be communicatively coupled to the BCD via a network and may communicate utilizing a markup language. The SVA devices may capture an audio signal of a voice of a user, modify the audio signal with a randomized audio frequency signal to generate a modified audio signal, and communicate, the modified audio signal as a synthesized voice signal associated with the user. The BCD may receive biometric information corresponding to a user, the biometric information comprising at least audio information associated with a voice of the user, receive, at an integration module, location information corresponding to a location of the user, combine, the location information and audio signal information associated with the user to generate a synthesized voice identifier associated with the user, and communicate the synthesized voice identifier to a remote device for use in an authentication process of the user.

Synthesized voice authentication engine

Systems for dynamically controlling data transmissions are provided. In some examples, a system may receive data from one or more computer systems. Data associated with an event may be extracted and the extracted data may be compared to one or more machine learning datasets to determine a likelihood that an issue associated with a computer system may occur. The system may determine whether the likelihood is greater than a predetermined threshold. If so, a modification to avoid the potential issue or mitigate an impact may be identified. The modification may be transmitted to and executed by the computer system to modify one or more aspects of the computer system. In some examples, one or more efficiency modifications may be identified based on the comparison of the extracted data to the machine learning datasets. The identified efficiency modification may be transmitted to and executed by the computer system to modify one or more aspects of the computer system.

Data processing system with machine learning engine to provide dynamic data transmission control functions

Aspects of the disclosure relate to analyzing smart data using an automated response system. A computing platform may receive, from a user device, user feedback information comprising user feedback corresponding to an enterprise organization. Thereafter, the computing platform may identify, based on the user feedback information, identification information comprising a sender of the user feedback and an issue corresponding to the user feedback. Then, the computing platform may retrieve, from a hierarchical rules server and based on the identification information, hierarchy information comprising a hierarchy ranking of a plurality of automated responses. Subsequently, the computing platform may determine, based on analyzing the hierarchy information and the user feedback, an automated response from the plurality of automated responses. Next, the computing platform may generate one or more commands directing an external response server to execute the automated response. Then, the computing platform may transmit the one or more commands.

Automated response system using smart data

A system, method and the like for allocating computing resources to data processing services/applications based on the current or foreseen usage/load of the computing resources. The elastic nature of the computing resource grid allows for expansion or contraction of ancillary use of the computing resources depending on the data processing requirements and computer resource usage. Further, virtual binary codes are deployed on the computing resources, which are executed at the application layer and configured to be removed upon completion of a job or in the event that the usage state of the computing resource dictates such. The removal of the virtual binary codes from the computing resources provides for no residual effect on the computing resources (i.e., no code remains in computing resource memory and, as such no processing capabilities are subsequently used).

System for allocating resources for use in data processing operations

An apparatus for smart integrated cyclic data transport is provided. The apparatus may preserve the consistency and integrity of a file during the transfer of the file from a source system to a target system. The apparatus includes an orchestration subsystem. The orchestration subsystem includes an analyzer/generator module. The analyzer/generator module executes an algorithm on the file at the source location. An output is generated from the executed algorithm. The apparatus includes a consistency module. The consistency module pre-checks the output at the source location for pretransfer validation and creates a copy of the output. The copy may preserve the consistency and the integrity of the file. The apparatus includes a data transfer subsystem which transfers the file and the output from the source system to the target system. The apparatus may also include a validation subsystem for validating the integrity and consistency of the file.

Smart integrated cyclic data transport

A system that includes a network device, an access controller, and a data vault. The network device is configured to receive a first tokenized sub-string, combine a second tokenized sub-string with the first tokenized sub-string to generate an initiation token, and send the initiation token to the access controller. The access controller is configured to validate the initiation token and to send connection information comprising a connection identifier to the network device and send a post-action verification token to a data vault in response to validating the initiation token. The network device is further configured to send a network connection request comprising the connection identifier to the data vault. The data vault is configured to receive the network connection request, determine that the post-action verification token linked the connection identifier has been received, establish a network connection with the network device, and exchange data with the network device.

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Treuddyn Flintshire, United Kingdom

Paul Roscoe