Abstract: A method for interpreting structured and unstructured content to facilitate tailored transactions is provided. The method includes acquiring, from one or more unstructured data sources, unstructured data, and acquiring, from one or more structured data sources, structured data. The method further includes performing natural language processing (NLP) on both the structured data and the unstructured data using a machine learning algorithm, and generating, via the machine learning algorithm, an NLP response based on the NLP. Based on the NLP response, the method further performs identifying at least one candidate object, and generating a list of actions corresponding to the candidate object.

Abstract: Various methods, apparatuses/systems, and media for real-time automated analysis of project specifications are disclosed.

Abstract: Various methods, apparatuses/systems, and media for providing IaC templates in a cloud environment are provided. A processor creates a plurality of IaC templates. Each of the plurality of IaC templates includes instructions to build at least a portion of an infrastructure. The plurality of IaC templates is stored in a central repository. The processor collects one or more of the plurality of the created IaC templates from the central repository in order to build a desired infrastructure package. The processor also executes at least one of updating, removing, upgrading, downgrading, and verifying the infrastructure package in the central repository. Each of the plurality of IaC templates also includes metadata identifying at least one of a package, installation instructions of the package, at least one dependency of the package, a version of the package, and a size of the package.

Abstract: An interaction account management method includes defining a financial network for an account holder, the financial network including at least the account holder and a financial advisor, wherein the financial advisor is associated with the financial institution. The method also includes storing financial account information associated with the account holder in a database, the account holder information including information input by the account holder relating to at least one financing plan. The method further includes accessing the stored account holder information, generating two or more payment options associated with the at least one financing plan based at least in part on the account holder information, receiving a recommendation over the network from the financial advisor, the recommendation relating to the at least one payment option, and displaying, on a user interface associated with a user device, the two or more payment options and recommendation.

Abstract: An embodiment of the present invention is directed to a code audit tool that intelligently analyzes and profiles code, such as Python code, based on a variety of previously unmeasured factors and metrics including a set of software dimensions, such as Algorithmic Complexities; Software Sizing Metrics; Anti-Pattern Implementations; Maintainability Metrics; Dependency Mappings; Runtime Metrics; Testing Metrics; and Security Metrics. Once this analysis is complete, a standardized report card or other scoring interface may be generated. This may include analytical findings as well as suggestions and recommend steps so that developers can make informed decisions, enhance their code bases and improve the score assigned to their code.

Abstract: A method for providing vulnerability management by using drift analytics is disclosed. The method includes aggregating vulnerability reports that correspond to an application based on a predetermined configuration, the predetermined configuration including a predetermined schedule; appending the vulnerability reports to a historical record that corresponds to the application, the historical record including previously collected vulnerability reports; determining metrics for the application by using the corresponding historical record; generating a drift summary for the application based on the determined metrics and the corresponding historical record; comparing the drift summary with a previously generated drift summary to identify changes, the changes relating to a vulnerability status; and generating a drift report for the application based on the identified changes.

Abstract: Various methods, apparatuses/systems, and media for automatically computing grouped Shapley values for action reason codes are disclosed. A processor utilizes a machine learning model that is configured to output decision data; accesses a database that stores the outputted decision data and data corresponding to groups of related features; establishes a communication link between the machine learning model and the database; directly calculates grouped Shapley values that represent mathematically justifiable measure of importance for the groups of related features by implementing a predefined mathematical algorithm; and outputs reason codes based on the computed grouped Shapley values.

Abstract: An automatically self-healing multi-tier system for providing seamless resiliency for end users is provided. The system includes a plurality of tiers of elements; a processor; a memory; and a communication interface. The processor is configured to determine whether each respective tier of elements satisfies each of a plurality of intrinsic observer capabilities, a plurality of intrinsic reactor capabilities, a plurality of first health checks received from an internal tier, and a plurality of second health checks received from an external tier. When any of the intrinsic observer capabilities and the intrinsic reactor capabilities are not satisfied, an extrinsic observer capability and/or an extrinsic reactor capability is used to compensate for the unsatisfied capability. When any of health checks discover a degradation of service, communication flows are routed so as to fully or partially avoid the affected tier of elements.

Abstract: A method and a system for validating a proposed change to a configuration of an application are provided. The method includes: receiving a user request for changing a setting of one or more parameters of the configuration of the application; retrieving, from a memory, a set of rules that relate to permissible settings for the parameters; comparing the request to the retrieved rules; determining whether the request is acceptable based on a result of the comparison; and when the request is determined as being acceptable, validating the request. The rules may be applicable across an entirety of an organization or specific to a particular line of business. The parameters may relate to report formats or digital dashboards that are generated by executing the application.

Abstract: A method for facilitating data synchronization across a plurality of platforms is provided. The method includes retrieving a change event, the change event corresponding to an event stream from a first platform; parsing the change event to identify a record and a data operation; examining a synchronization database to determine whether a corresponding record is persisted in a database of a second platform; inserting the record into the synchronization database when the corresponding record is not persisted in the platform, the inserted record including a change indicator; and updating, by using the synchronization database, the database of the second platform to include the record.

Abstract: The invention relates to database abstraction and data linkage. According to an embodiment of the present invention, the invention takes a variety of attributes (e.g., names, IP address, device identifiers, addresses, phone numbers, account numbers, etc.) and returns the online activity, demographic data, account data and/or other activity, events and data associated with that attribute. The tool may then iterate over each attribute and return a network of connections having multiple degrees of association. The innovative tool may be linked to known bad actor data, and perform automated searches on this data to proactively alert potentially fraudulent activity. The tool may also be developed to add attributes and apply machine learning to the associations to more intelligently describe the returned network. Further, the tool may be developed to describe larger networks having multiple degrees of connections.

Abstract: An embodiment of the present invention is directed to an intelligent customer service and query management and routing system. The innovative system comprises a communications server that receives a query from a client; a predictive analytics engine that applies predictive analytics to the query including parsing keywords and phrases; classifying the keywords and phrases; and applying a tag to the query; a management platform dashboard that provides an interface to a customer service representative to provide feedback to the predictive analytics engine and further applies automatic routing and categorization into a plurality of communication inboxes; and a periodic model build processing component that builds, monitors, optimizes and deploys one or more predictive models executed by the predictive analytics engine.

Abstract: A method for providing an evidence service to facilitate evidence analytic and controls assessment for an enterprise toolchain is disclosed. The method includes compiling raw data via an adapter, the raw data including an event that relates to a software development life cycle; retrieving, from the adapter, the compiled raw data; identifying, by using a model, information that relates to the event from the raw data; extracting the identified information; generating, by using the model, a structured data set based on the extracted information; and determining a controls measurement based on the structured data set.

Abstract: A method for providing personalized recommendations in real-time to facilitate electronic transactions is disclosed. The method includes automatically aggregating reference data from various sources, the reference data including user data and merchant data; receiving, via an application programming interface, an indication from a user, the indication including data that relates to a corresponding user activity; identifying a profile that corresponds to the user; determining, in real-time by using a model, recommendations for the user based on the indication, the reference data, and the profile; and providing, via the application programming interface, the recommendations to the user in response to the indication.

Abstract: A method and a system for solving transactions reconciliation tasks by integrating clustering and optimization are provided. The method includes: receiving first information that relates to a plurality of transactions; extracting, from the first information, a set of transaction-specific features and a set of transaction-specific textual information; generating at least one meta-transaction by clustering a subset of the plurality of transactions based on the extracted set of transaction-specific features and the extracted set of transaction-specific textual information; and matching transactions from within the clustered subset based on the amounts of the transactions.

Abstract: Various methods, apparatuses/systems, and media for automatically upgrading an application are disclosed. A processor creates a dynamic machine learning (ML) model; trains the dynamic ML model and scans for SDK upgrade for the application against the dynamic ML model by implementing ML algorithm for predictions. The processor executes the SDK upgrade in response to detecting that the training of the dynamic ML model is completed to trigger the processor to perform the following automated processes: implement the ML algorithm against the trained dynamic ML model to generate predictive results data for deprecated reference corresponding to the application; evaluate the predictive results data to determine whether there is a match for the deprecated reference; and when it is determined that there is a match for the deprecated reference, automatically replace code and upgrade the application to newer version of the programming language specification.

Abstract: Various methods, apparatuses/systems, and media for generating a data structure are provided. A database stores a historic version of taxonomy data and a new version of taxonomy data. A processor, operatively connected to the database, accesses the database and analyzes the historic version of taxonomy data and the new version of taxonomy data. The processor determines what changes have been made in connection with a particular reference data based on analyzing the historic version of taxonomy data and the new version of taxonomy data; creates, based on determining, an association between the historic version of taxonomy data and the new version of taxonomy data corresponding to said particular reference data; generates consistent metadata from said association; and generates a data structure that illustrates history of evolution of taxonomy in connection with said particular reference data based on the metadata.

Abstract: A method for providing a notification of applications that relate to a business process is provided. The method includes collecting identification data that relates to each of a plurality of applications connected to the at least one processor; storing the identification data; receiving a user request for information that includes a list of first applications that relate to the business process; analyzing the identification data to determine whether each respective one of the plurality of applications is to be included in the list; and generating the list based on a result of the analyzing and notifying the user of the list. The method also includes collecting network data that relates to each of the plurality of applications; storing the network data; and analyzing the network data to determine whether each respective one of the plurality of applications is to be added to the list.

Abstract: A method for distributing data process according to technical resource capacity availability and constraints across a network is disclosed. The method includes receiving, at a database, a feed request for processing by a computing resource, among a network of computing resources that are geographically dispersed. Further, the method includes identifying, among the network of computing resources, a computing resource for processing the feed request based on the at least one attribute and processing capacity of the computing resources, and assigning the feed request for processing to the identified computing resource in real-time and without predetermined assignment to process increase in data volume by leveraging remotely located and/or underutilized computing resources.

Abstract: A method for providing market color to enrich information relating to trading data for eligible securitized products under the Trade Reporting and Compliance Engine (TRACE) platform administered by the Financial Industry Regulatory Authority (FINRA) is provided. The method includes: receiving, from the TRACE platform, first information that relates to a trade that has been executed on a market; retrieving, from a second source such as an internal data repository that is proprietary to a financial institution, second information that relates to the trade and/or a participant in the trade; generating a report that includes the first information and the second information; and transmitting the report to a predetermined recipient. Additional information may be obtained via a Securitized Products Dissemination Service (SPDS) platform and/or by using a matching algorithm within TRACE.