Abstract: A method for optimization of loan pricing for high volumes of loans based on multiple inputs and multiple scenarios regarding participants, valuations, and other constraints is provided. The method includes: receiving various inputs that relate to a predetermined set of loan types; generating, based on the received inputs, a rate sheet that includes base rates for each respective loan type; retrieving information that relates to respective loan populations; and determining a corresponding set of loan level prices for each loan population based on the base rates and the loan population-specific information. Each set of loan level prices may be determined by applying an optimization algorithm to the base rates and the loan population-specific information.

Abstract: A method and a system for using a graph neural network framework to implement a link prediction in a multiplex network environment is provided. The method includes: identifying a plurality of layers of a multiplex network, each respective layer including a respective plurality of nodes; for each node included in at least a first layer, providing, by a structural node label and determining a common embedding across all of the plurality of layers and an individual embedding for each individual layer; using a k-nearest approach to select a subset of the plurality of layers for performing link prediction with respect to each layer based on the determined embeddings; and performing a link prediction by determining a respective feed-forward network with respect to each layer included in the selected subset.

Abstract: A method for facilitating identification of duplicate data from substantially similar datasets is disclosed. The method includes receiving transaction data from a source, the transaction data including a transaction record that relates to substantially similar electronic fund transfers; marking the transaction record based on a first criterion; retrieving, based on a result of the marking, information that correspond to the transaction record, the information relating to historical data for a predetermined period of time; tagging the transaction record based on a second criterion and the retrieved information; and determining whether the transaction record is marked and tagged.

Abstract: Various methods, apparatuses/systems, and media for automatically monitoring performance of multiple bots (software robots) are disclosed. A processor hosts a plurality of bots on a virtual machine, each bot having a unique process identifier on the virtual machine for processing tasks associated with a plurality of applications and each bot having its own configured instance; integrates the plurality of bots with a plurality of data sources via a communication interface; calls corresponding application programming interface (API) to access data from each of the plurality of data sources; integrates all data accessed from each of the plurality of data sources into a single platform; automatically generates, in response to integrating all accessed data, a performance metrics for each bot; and displays the performance metrics onto a graphical user interface (GUI) for constant monitoring of each bot's performance for automatic execution of remedial actions as necessary.

Abstract: Various methods, apparatuses/systems, and media for automatically building an application framework are disclosed. An internal database stores available design patterns and code snippets for developing an application. A receiver receives, as input, a requirement document that includes one or more requirements for developing the application. A processor parses the requirement document by implementing a natural language processing algorithm; creates, based on the parsed requirement document, a plurality of code blocks for generating a structure and a design pattern to be used to develop the application by matching the one or more requirements with the available design patterns; accesses the database to obtain the code snippets for the plurality of code blocks; and automatically builds an application framework based on the code snippets.

Abstract: Various methods, apparatuses/systems, and media for automatically mapping physical data models or objects to logical data models which in turn are automatically mapped to business terms are disclosed. A database stores a raw physical data model of an application. A processor extracts the raw physical data model of the application from the database. The processor also converts physical object names associated with the raw physical data model into English terms based on a taxonomy expansion list; applies a plurality of standardization and contextualization rules to the English terms generated from converting the physical object names; outputs names based on applying the plurality of standardization and contextualization rules to the English terms; applies fuzzy logic and machine learning routines and matching algorithms for matching the names to predefined logical terms; and automatically generates a mapping of physical objects or elements in the application with logical attributes and related business terms.

Abstract: An embodiment of the present invention is directed to delivering an entitlements model that scales to both mid-frequency and low-latency use cases. The innovative solution may be distributed in nature and able to operate in low priority threads alongside the main logic of the software. An embodiment of the present invention may be implemented as a software module with APIs for ease of adoption.

Abstract: Systems and methods for privacy-preserving inventory matching are disclosed. In one embodiment, in an information processing apparatus comprising at least one computer processor, a method for inventory matching may include: (1) receiving, from each of a plurality of clients, a masked submission comprising an identification of at least one security to buy or sell and a desired quantity to buy or sell; (2) aggregating the masked submissions resulting in a sum of the desired quantities to buy or sell; (3) matching at least two of the clients to conduct a transaction based on aggregation and their respective masked submissions; and (4) conducing the transaction between the matched clients.

Abstract: Exemplary embodiments can identify the toxic PI combinations and flag these combinations for evaluation. Because organization policies on toxic PI combinations can constantly evolve, the system may be continuously updated with the latest policies. Exemplary embodiments may be used as part of an automated code review for application development and for monitoring of existing applications and programs. Thus, exemplary embodiments take the guesswork out of identifying risks in applications and programs by providing an automated tool that can scan and identify toxic combinations in accordance with various policies.

Abstract: A method and a computing apparatus for allocating space in a building are provided. The method includes: receiving a first input that includes information that relates to a plurality of persons that intend to occupy the building; receiving a second input that includes information that relates to building specifications; receiving a third input that includes information that relates to constraints that are mandatory and preferences that are not mandatory; and determining, based on each of the first input, the second input, and the third input, an allocation of each person to a corresponding space within the building and a respective schedule for each person to occupy the corresponding space. The determination of the allocation and the respective schedule may be effected by applying an artificial intelligence (AI) algorithm that is configured to satisfy all of the mandatory constraints and to optimize a satisfaction of the preferences.

Abstract: A method for automatically modeling a codebase to facilitate management and analytics is provided. The method includes automatically aggregating a data set, the data set including data that correspond to a codebase; identifying, from the data set, entities and corresponding attributes, the entities relating to a component of the codebase; establishing, by using the data set, a relationship for the entities, the relationship corresponding to an interaction between each of the entities; determining a potential owner for each of the entities based on a corresponding change history; defining, by using the data set, an ownership rule for each of the entities, the ownership rule associating the potential owner to the corresponding entities; and computing an actionable item for each of the entities based on the corresponding attributes.

Abstract: A method for providing data blocking to facilitate distributed entity resolution is disclosed. The method includes receiving data sets from a source, the data sets including records that correspond to an entity; grouping each of the records into a block based on a shared characteristic, the block including a blocking key; converting the block into a data file, the data file corresponding to a predetermined file format; partitioning the data file based on the corresponding blocking key; determining, via a worker node, a potential record pair by using the partitioned data file; and persisting the potential record pair.

Abstract: Various methods, apparatuses/systems, and media for identifying production incidents and implementing automated preventive and corrective measures are disclosed. A processor automatically triggers, in response to a generated incident of a job/process/host failure, a self-healing service. The processor identifies an application to which the event generated belongs to by accessing a database that stores the application and host details; fetches functional identification (ID) of the application from the database, identifies the type of job failure or service degradation; automatically executes, by utilizing predefined micro services, the steps required for mitigation; records, in response to executing, outcome of the mitigation in the database along with output at each stage of execution; and evaluates the outcome of the mitigation by executing health checks using micro services to determine whether the failed job or process or host is healthy; and closes the incident based on healthy determination.

Abstract: Systems and methods for pixel-based quantum state visualization are disclosed. In one embodiment, a computer-based method for generating a visualization of a quantum state may include: (1) receiving, at a computer program executed by a computer processor, quantum input data comprising a plurality of outcomes for a quantum state, each outcome having a phase and a magnitude; (2) for each outcome, translating, by the computer program, the outcome into a pixel having a hue based on the phase and an intensity based on the magnitude; (3) plotting, by the computer program, the pixel on a pixel graph; and (4) outputting, by the computer program, the pixel graph to an output device.

Abstract: Integrated controls frameworks are disclosed. In one embodiment, in an information processing apparatus comprising at least one computer processor, a method for using an integrated control framework for an application comprising a plurality of application modules may include: (1) defining an application profile, an application model, and a target cloud environment for an application; (2) identifying a plurality of security, resiliency, and controls requirements for the target cloud environment; (3) configuring a plurality of security controls for the application based on the plurality of security, resiliency, and controls requirements; and (4) deploying the security controls to the target cloud environment.

Abstract: Various methods, apparatuses/systems, and media for implementing a multi-tier intercommunication module (MTIM) for an automatic teller machine (ATM) to prevent fraudulent and forced transactions are provided. A processor within the MTIM verifies whether an anomaly withdrawal transaction is occurring based on analysis of a user's normal banking behavior. When anomaly transactions are detected, the processor transmits a notification to the user's registered Multi-Factor Authentication (MFA) device to verify whether the transaction is fraudulent. Additionally, the MTIM provides a continuous feedback loop of user location data when forced transactions have been triggered. Forced card transactions are allowed completion and the MTIM sends a custom security code (CSC) to the user's registered MFA mobile device.

Abstract: Systems and methods are provided to predict customer behavior during a digital transaction at a point of sale. The disclosed systems and methods can collect information regarding a merchant and the merchant's business as well as information about the current sales environment in which the merchant is operating. From the collected information, the disclosed systems and methods can process the collected information to generate a prediction of future customer behavior in real-time or near real-time.

Abstract: A system and a method for monitoring and detecting drifts and configuration changes in an infrastructure that facilitates the availability of software applications to a large organization are provided. The method includes: obtaining metric information that indicates values of various parameters that relate to the infrastructure; comparing the obtained metric information with expected values thereof; determining whether a drift has occurred based on a result of the comparison; and providing a notification of a detected drift. When a drift is detected, a potential remedy may be diagnosed and automatically applied.

Abstract: A method for performing a health check of a customized function across multiple cloud/hybrid platforms is disclosed. The method includes submitting a customized function to a health check system, which includes components on both on an on-premise network and a public cloud network. The submitted function is then uploaded to a cloud object storage. The method further includes having the customized function retrieved from the cloud object storage and scheduling an execution of the customized function according to a user defined schedule. Once the customized function is executed, the method further acquires results of the executed function and corresponding metrics and updates a health check metrics table of a metadata database with the acquired results and metrics.

Abstract: A method for utilizing a graph path cache to facilitate real-time data consumption by a plurality of machine learning models is disclosed. The method includes receiving an input from a source, the input relating to a request to characterize a data element; retrieving a data attribute that corresponds to the data element from a data management system; determining, in real-time using the graph path cache, a graph attribute that corresponds to the data element by performing deep link analysis on a graph database; executing, in real-time, a model by using the data attribute and the graph attribute, the model corresponding to the request in the input; and transmitting, in real-time, a result of the executed model to the source in response to the input.