Bank of America Corporation

Erik D Dahl

Pratap Dande

Rahul Yaksh

Sailesh Vezzu

Elvis Nyamwange

Amer Ali

Brian Neal Jacobson

Rahul Shashidhar Phadnis

Hari Vuppala

Steven Reich

Tileshia Brenda Alford

Vishwanath Prasad Karra

Rajat Wadhwani

Gordon Matthew Woods

Dean Alan Iley

Bridget E O'Connor

Timothy Guerry

Michael J Ragunas

Chris Keilitz

Beverly Ann Bonner

Benjamin Paul McQuay

Robin Griffen Cobb

Alexander Cameron Thomson

Andy Kerestes

Systems, computer program products, and methods are described herein for determining data migration using an automated query analyzer tool. The present disclosure is configured to identify at least one input data set associated with at least one application; analyze, by an automated query analyzer tool, the at least one input data set; classify data of the at least one data set as at least one of a standard classification or a non-standard classification; determine at least one metric for the data of the at least one data set; generate a query complexity score for the at least one application; generate an application migration complexity report and an application migration complexity report interface component; and transmit the application migration complexity report interface component to a user device and configure a graphical user interface of the user device with the application migration complexity report interface component.

Systems and methods for determining data migration using an automated query analyzer tool

Systems, computer program products, and methods are described herein for validation of electronic data transfers in a distributed network via self-directed image data. The present invention is configured to receive a request for a transfer of electronic data from a first repository associated with a first user to a second repository associated with a second user, transfer the electronic data, generate and apply a first identifier to the electronic data, collect a geolocation of a second endpoint device, transmit the geolocation and a request for a verification of the geolocation to the first endpoint device, receive the verification of the geolocation, generate and apply a second identifier to the electronic data, transmit control signals to the second endpoint device to prompt collection of self-directed image data, and collect, using the second endpoint device, the self-directed image data.

System and method for the validation of electronic data transfers in a distributed network via self-directed image data

A method for consolidating backup status data associated with backup operations performed at a specialty backup service platform into a centralized backup service platform may be provided. The method may include receiving data feeds associated with each backup operation, each data feed comprising backup status data associated with a backup operation performed at the specialty backup service platform. The method may also include extracting the backup status data from each data feed and following the extracting, conforming the backup status data at the centralized backup service platform to be consistent with the standardized format. The method may also include for each data feed received from the specialty backup service platform, running a performance-scan on the backup status data within the data feed for determining whether the backup operation was a success or a failure.

Centralized data backup platform supporting multiple data environments

Arrangements for providing fail-safe event processing functions are provided. In some aspects, an account may be generated and a first account number associated with a payment device of the account may be generated. The first account number may be transmitted or sent to the user. A second account number, different from the first account number, may be generated and stored by the enterprise organization in an inactive state. A user may request recurring payments with one or more vendors and may provide the first account number for use in processing the payments. An issue may be detected with the first account number or associated payment device. If a creditworthiness score meets or exceeds a threshold, the second account number may be activated and used (e.g., by the enterprise organization) to process recurring payments that may otherwise have lapsed due to the compromise of the first account number or payment device.

Multi-computer system for fail-safe event processing

A computer performs a method for pro-actively administering a physical network of automated teller machines (ATM). The network may include ATMs. The network may be coupled, using an asynchronous transfer mode Wide Area Network (WAN) and the router, to a second plurality of ATMs via a digital subscriber line (DSL) module, a Closed Circuit Television (CCTV) system to provide CCTV television footage, and/or a 5-G cellular interface. The method receives input data using a data processing block coupled to the network of ATMs. The data may be derived from the plurality of ATMS, the WAN, the second plurality of ATMs, the CCTV and/or the 5-G cellular network interface. The method cleans and processes data and leverages a virtual digital twin to predictively provide status information of the ATMs based on the data. The method may formulate and maintain predictive data using a digital twin prediction model.

Automated teller machine (ATM) networks with a real time digital twin ecosystem for multi-region or wired wide area networks (WAN) in order to predict failures/faults

Systems, computer program products, and methods are described herein for selective data routing in a distributed network via data throughput analysis in a distributed ledger network. The present invention is configured to receive a request for a data transmission from an endpoint device of a network, determine, via a routing module, a throughput of data associated with the data transmission, determine a classification of the data transmission, and assign the data transmission to an assigned routing channel. The assigned routing channel may include either a first routing channel or a second routing channel based on the classification, wherein the first routing channel is a light load network comprising emitter devices operatively coupled to endpoint devices proximate the emitter devices, and wherein the second routing channel is a heavy load network comprising a first multicore optical fiber.

System and method for selective data routing in a distributed network via data throughput analysis

Systems, computer program products, and methods for generating and maintaining source capability objects for application components. The systems, computer program products, and methods are configured to receive a request to initiate a development process for an application, where the request identifies one or more components of the application, and cause a user device to prompt a user to select, for each component of the application, one or more source capabilities from a plurality of source capabilities. The systems, computer program products, and methods are further configured to receive, from the user device and for each component of the application, the one or more source capabilities and to generate, for each component of the application, a source capability object including information identifying the one or more source capabilities for the component.

System for generation and maintenance of source capability objects for application components

Embodiments of the invention are directed to a system, method, or computer program product structured for determining platform stability and resiliency. In some embodiments, the system is structured for, for each of a plurality of applications deployed or scheduled to be deployed on a platform, gathering data, evaluating stability factor(s), evaluating resiliency factor(s), determining an overall stability score for the application from the stability factor(s) and overall resiliency score for the application from the resiliency factor(s), and determining a data quality score and criticality score for the application from the stability factor(s) and resiliency factor(s); generating a first GUI including selectable filters; receiving a selection of at least one filter; identifying a subset of applications using the selected filter(s); determining an aggregated stability score, resiliency score, data quality score, and criticality score for the identified subset; and generating a second GUI including the aggregated scores.

Graphical user interface and analysis system for determining platform stability and resiliency

An apparatus of one embodiment analyzes application complexity based on complexity factors. The apparatus includes a memory and a processor. The memory stores raw values associated with a software application, each raw value associated with a respective complexity factor, which is associated with a respective scoring metric. The memory also stores scoring metrics, which indicate how preliminary scores are calculated. The memory also stores preliminary scores associated with the software application. The processor determines the raw values by determining a respective raw complexity value for each of the complexity factors. The processor also calculates the preliminary scores by calculating a respective preliminary score for each of the complexity factors. The respective preliminary score for each complexity factor is calculated by applying the respective scoring metric to the respective raw value. The processor also calculates a total score based at least on the plurality of preliminary scores.

Software application complexity analysis

A risk framework is described for computing application risks. A risk value associated with each of one or more products included in an application may be determined. The risk value associated with each of the products may be classified as declining software risk, not-permitted software risk, declining hardware risk, and not-permitted hardware risk and may be weighted and summed to produce a technical risk score. A business criticality score may be computed based on how critical the application is to a business. The technical risk score and the business criticality score may be weighted and summed to produce a composite risk score. Based on one or more of the scores, planning may be conducted and strategies may be formulated to mitigate risk.

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Charlotte, NC, United States of America

Erik D Dahl