Abstract: A method for distributed application distribution may include: (1) receiving, at a first decentralized marketplace instance in a distributed ledger network and from a first node of the plurality of nodes, the first node associated with a distributed application creator, a distributed application; (2) making available, by the first decentralized marketplace instance, the distributed application to decentralized marketplace instances, wherein the first node is configured to provide the distributed application to a second node, the second node associated with a distributed application collaborator; (3) receiving, at a second decentralized marketplace instance and from the second node, a modified version of the distributed application; and (4) making available, by the second decentralized marketplace instance, the modified version of the distributed application to the decentralized marketplace instances, wherein the second node is configured to provide the distributed application to a third node, the third node a

Abstract: A method for providing graph-based application modeling to facilitate application lifecycle management is disclosed. The method includes receiving, via a graphical user interface, an input, the input relating to a request to design and develop an application; determining, based on the input, a model development plan, the model development plan including a universal schema that is compatible with a variety of application development schemas; generating a model based on the model development plan and the input, the model relating to an illustration of a topology corresponding to the application; associating the model with the application; storing the model and the association in a model repository; and exposing the model via a network interface.

Abstract: Various methods, apparatuses/systems, and media for generating a confidence score for trading an equity are disclosed. A processor transforms received historical raw data associated with trading an equity into corresponding bear and bull cycles by applying a predefined algorithm; calculates days in group (DIG) values and histogram values for every bear and bull cycles associated with the equity; receives new raw data associated with the equity; implements a machine learning model that receives the calculated DIG values, the histogram values, the new raw data, and buy or sell labels as input and outputs a confidence score to buy or sell the equity; generates a boxplot digital display onto the user interface that displays the confidence score, the DIG values, and the histogram values; and receives user input via the user interface to buy or sell the equity based on determining that the confidence score meets a predefined threshold value.

Abstract: A method, system and non-transitory computer-readable medium for automated reconstruction of an application. The method, the system, and the non-transitory computer-readable medium cause a processor: receive a workflow that comprises a sequence of microservice operations that correspond to the application; transfer, from a current host platform that is associated with the application, to a backup memory, a copy of an active database that is associated with the application; deactivate the active database from the current host platform; rebuild an operating system of the application; remove a pre-build configuration of the application; install a recovery mode of the application on the current host platform; deploy a post-build configuration of the application; perform a quality assurance process that comprises validating the post-build configuration of the application; and transfer from the backup memory to the current host platform, the copy of the active database.

Abstract: Methods and systems for estimating call urgency of incoming telephone calls in order to improve call queue management and efficiency with respect to telephone support systems are provided. The method includes: receiving a first incoming telephone call from a first person; determining a geographical location from which the first incoming telephone call is originated; retrieving news information that relates to the geographical location; and assessing, based on the news information, an urgency of the first incoming telephone call. The assessed urgency is then usable for assigning a priority to the first incoming telephone call and determining an order of handling the first incoming telephone call with respect to other incoming telephone calls. The news information may indicate that a natural disaster, a weather event, or a crisis caused by human activity has occurred, and that the urgency is relatively high as a result.

Abstract: A method and a system for using a machine learning model to provide a virtual assistant for automatically guiding and assessing operational and non-functional requirements of an application are provided. The method includes: receiving information that relates to an application; generating one or more questions that relates to the application based on the received information; receiving responses to the questions; measuring one or more metrics that relate to non-functional requirements of the application; and determining whether a non-functional requirement of the application is satisfied based on the received information, the received responses, and the metrics. The questions are generated by executing a machine learning algorithm that is trained by using historical data that relates to non-functional requirements of other similar applications.

Abstract: A method for providing high-speed storage and retrieval of information from a plurality of sources is disclosed. The method includes retrieving data from the sources; identifying a deterministic perfect hash function based on the retrieved data for stock symbols and corresponding stock information, the perfect hash function relating to a mapping of distinct elements in the corresponding stock information with the stock symbols; generating, by using the retrieved data, a parameter that relates to an instruction to calculate the identified perfect hash function, the parameter including a host file, a simulation file, and a hash state file; programming a register and a memory that are associated with the processor by using the parameter; and determining, via the programmed register and the programmed memory, a hash value for incoming stock symbols, the hash value relating to a symbol index that locates information corresponding to the incoming stock symbols.

Abstract: A method for managing vulnerability data may include: (1) ingesting, by a data ingestion engine, vulnerability data from a plurality of sources; (2) normalizing, by a data normalizer module, the vulnerability data into a plurality of data records; (3) generating, by a data processing module, a dynamic risk score for each data record; (4) storing, by a risk record register, a risk record for each data record, wherein the risk record may include the dynamic risk score, a priority level, an identifier for a software application, and a software dependency; (5) selecting, by a control policy selection engine, a control policy based on one of the dynamic risk scores; (6) implementing, by the risk record register, the selected control policy; (7) monitoring, by the risk record register, implementation of the control policy; and (8) updating, by the risk record register, the control policy selection engine based on the monitoring.

Abstract: Systems and methods for tracking data lineage and record lifecycle using a distributed ledger are disclosed. In one embodiment, a method for tracking record lifecycle events may include: (1) creating, by a record lifecycle tool, a recordable artifact for a record lifecycle event in a record lifecycle, the recordable artifact comprising data for the record lifecycle event; (2) generating, by the record lifecycle tool, a hash of the data; (3) creating, by the record lifecycle tool, record lifecycle event metadata for the recordable artifact; (4) signing, by the record lifecycle tool, the record lifecycle event metadata; (5) writing the record lifecycle event metadata to supply chain metadata storage at a storage location, wherein the supply chain metadata storage may be cryptographically verifiable and immutable; and (6) writing the hash and an identifier for the storage location in the supply chain metadata store to a present state database.

Abstract: A method for facilitating automated data curation in real-time is disclosed. The method includes retrieving electronic documents from a source; converting the electronic documents into data sets, the data sets corresponding to a predetermined format; preprocessing the data sets to identify linguistic units, the linguistic units relating to paragraphs and sentences; extracting, by using a model, attributes based on the linguistic units, the attributes relating to a key detail in the electronic documents; and generating, in real-time, messages based on the extracted attributes. Additionally, the electronic documents include a corporate action prospectus that provides information for a corresponding corporate event, the information including term and condition information, date information, and restriction information.

Abstract: An automated Automatic Teller Machine (ATM) exception processing method, system, and recording medium for facilitating completion of an ATM deposit transaction upon an occurrence of an exception. The method includes remotely monitoring an ATM for the exception by an automated ATM monitoring system over a first communication network, and automatically reporting a detected exception resulting in a failed ATM deposit transaction, by a processor in the automated ATM monitoring system, to both a customer processing system and to a reconstruction transaction system over a second communication network. The process also includes processing a customer claim by the customer processing system based on the failed ATM deposit transaction, and reconstructing the failed ATM deposit transaction by the reconstruction transaction system. The method further incudes reconciling the customer claim with the reconstructed ATM deposit transaction.

Abstract: A method for using a Gaussian Process-based algorithm to approximate an optimal stopping of a time series that corresponds to a sequence of events is provided. The method includes: receiving information that relates to an event sequence; estimating, based on the received information, a first potential reward that is obtained by stopping the event sequence at a first time, and a set of respective second potential rewards that are obtained by stopping the event sequence at corresponding times; and determining, based on the estimated first and second potential rewards, an optimal time for stopping the event sequence. The event sequence may include a numerical sequence that is modeled as a statistical learning method via a Gaussian Process (GP) function and/or a deep GP function that indicates a probability density distribution of the items in the numerical sequence over a predetermined time interval.

Abstract: A method and a system for using implicit neural representations for generation of interpretable time series are provided. The method includes: receiving time series information, such as pairings of time coordinate values with time series signal values, that relates to an event sequence; generating, based on the time series information, an implicit neural representation of the event sequence that includes a plurality of embedded values and a corresponding plurality of weights; and using the implicit neural representation to predict at least one item of information that relates to the event sequence and is not included in the received time series information, such as an interpolation or an extrapolation of the time series.

Abstract: Various methods, apparatuses/systems, and media for providing centralized seamless data access are disclosed. A processor builds a data mesh architecture in a cloud environment. The data mesh architecture includes a single central hub account provided between a plurality of data producer accounts and a plurality of data consumer accounts. The processor causes the plurality of data producer accounts to publish different types of data received from a plurality of data sources onto the single central hub account along with corresponding metadata. The processor also causes the single central hub account to: incorporate the metadata into an application; receive a request from the plurality of data consumer accounts to access the published different types of data from the single central hub account; and control who from the plurality of data consumer accounts can access the published different types of data from the single central hub account based on the metadata.

Abstract: In one example, a method for dynamically scaling computer resources in a cloud computing environment is disclosed. The method includes determining lag state information of a message broker. The message broker handles real-time data exchanged with application instances running in a cloud service. The method includes determining whether the lag state information indicates a change to the application instances running in the cloud service. If the lag state information indicates a change, the method includes providing instructions to the cloud service to alter the application instances.

Abstract: A method and a system for providing actionable smart monitoring of error messages generated during repave microservice operations in order to reduce the number of human interventions required are provided. The method includes: receiving reports that relate to system failures; analyzing each report to determine features that relate to the system failures; clustering the features into a set of feature groups; determining a corresponding report as a representative error indicator for each respective feature group; and generating, for each respective feature group, a cluster representative message that identifies the corresponding report. The cluster representative messages are then displayable on a user interface to facilitate efficient user action to address system failures and errors.

Abstract: A method and a system for providing a shared state module that acts as a common interface for facilitating data sharing among microservice front-end modules that are being used in conjunction with one another within a single application are provided. The method includes: receiving an input that includes information that relates to a set of microservice modules to be utilized for constructing an application; uploading each of the set of microservice modules and a shared state module that is configured to facilitate data sharing; transmitting, to each of the set of microservice modules, an instruction that provides access to the shared state module; and when a particular microservice module requests a subset of data that is accessible via the shared state module, causing the requested subset of data to be received by the particular microservice module.

Abstract: A system and a method for accepting a payment on an application is provided. The method is implemented by a processor. The processor receives login information from a client to activate a banking application; selects quick accept entry points associated with the client's business banking demand deposit account (DDA) based on determining that the client is eligible for the quick accept entry points in response to the login information; sets up a payment receiving option for receiving a payment via the banking application; causes the banking application to receive transaction amount data corresponding to a transaction between the client and a customer; causes the banking application to process the transaction amount data; and automatically updates the DDA to reflect receipt of the transaction amount data.

Abstract: Systems and methods for real-time classification and verification of data using hierarchal state machines are disclosed. According to one embodiment, in an information processing apparatus comprising at least one computer processor, a method for real-time classification and verification of data using at least one hierarchy of individual state machines may include: (1) receiving, from at least one external data source, incoming data to be stored in a data store; (2) reviewing the incoming data to identity a possibility of the incoming data including at least one type of sensitive information; (3) identifying a hierarchy of individual state machines to review the incoming data based on the at least one type of sensitive information; and (4) providing the incoming data to the hierarchy of individual state machines.

Abstract: A method for providing dependency registration and impacted service notification is provided. The method includes mining resource data for a plurality of resources included in heterogeneous platforms included in a single eco-system, and identifying, for each resource, one or more connections with other resources present in the heterogeneous platforms based on the mined resource data. The method also includes generating a resource dependency chain from the resource data and the identified one or more connections, and monitoring change events for the resources included in the heterogeneous planforms. When a change event is detected for a target resource among the resources, the method includes determining one or more resources that are impacted by the change event detected for the target resource based on the resource dependency chain, and transmitting a notification to users of the impacted resources.