Abstract: A method and a system for providing a framework of configurable components, services, and modules that are reusable for construction of complex workflow applications in order to reduce volume and redundancy in manual coding requirements are provided. The method includes: receiving user criteria that relate to a task to be performed by executing the application to be constructed; analyzing each of the criteria; identifying, based on a result of the analysis, component software modules that are usable for satisfying some of the criteria; and transmitting information that relates to constructing the application by using the identified component software modules to the user.

Abstract: A method for providing a dynamic distribution list event updater is disclosed. The method includes monitoring, via a bot, an electronic communication platform; receiving, via the bot, an indication of a modification to a distribution list, the indication including modified membership information and event information; identifying, via an application programming interface, persisted membership information that corresponds to the distribution list; determining a new user based on a comparison of the modified membership information and the persisted membership information; and transmitting, via the electronic communication platform, a notification to the new user.

Abstract: In one example of the present disclosure, a method for determining false positive and active indications is disclosed. The method may apply anomaly network event data to a machine learning model. The machine learning model is trained with historic and correlated anomaly network event data. The method then determines which one of the anomaly network event data is a false positive indication and which one is an active indication.

Abstract: Systems and methods for establishing trust between a conventional mobile application and a micro application are disclosed.

Abstract: A method for providing actionable intelligence in real-time to facilitate a plurality of transactions is disclosed. The method includes compiling historical activity data for potential clients; defining, by using a model, a score for each of the potential clients based on the compiled historical activity data; receiving, via an event stream, a request, the request relating to a transaction request for a financial instrument; retrieving client coverage data that corresponds to the potential clients, the client coverage data including a strategic client plan that relates to development of client relationships; identifying a predetermined rule that corresponds to the request; and automatically determining, in real-time for the request, a recommended client from the potential clients based on at least one from among the score, the client coverage data, the corresponding predetermined rule, and the historical activity data.

Abstract: A method for automatically scaling a number of robots leveraging interactive sessions to be used within a system infrastructure, dynamically based on workload, is provided. The method includes: receiving a request for a number of robots to be provisioned within the system infrastructure; validating an availability of the requested number of robots; monitoring a CPU utilization and a memory utilization within the system infrastructure; adjusting the requested number of robots based on the CPU utilization and/or the memory utilization; and releasing the adjusted number of robots for facilitating use thereof to perform corresponding tasks within the system infrastructure.

Abstract: Various methods, apparatuses/systems, and media for automatically determining whether an application is SRE ready for production deployment are disclosed. A processor implements an AI/ML algorithm and natural language processing algorithm to analyze input data corresponding to an application onboarded onto an application platform; generates an assessment report data that includes SRE readiness score that identifies SRE maturity for the application based on analyzing the input data; determines whether the generated SRE score is equal to or more than a preconfigured assessment score or less than the preconfigured assessment score; automatically determines that the application is SRE ready for production deployment based on determining that the generated SRE score is equal to or more than a preconfigured assessment score; and automatically implements a self-healing algorithm to correct each deficiencies identified in the assessment report.

Abstract: Various methods, apparatuses/systems, and media for improving SRE observability are disclosed. A processor defines a schema in a common manner; causes any application included across a distributed set of applications to utilize the schema to describe an error associated with a downstream application such that root failing component associated with the error is always at a bottom error frame in a response; implements a common structure for distributed error propagation in a chain of applications across the distributed set of applications in connection with the error message; generates error logs received from the chain of applications; stores the error logs in a centralized location accessible by all SRE users and application owners; calls a corresponding application programing interface (API) to access the error logs from the centralized location for utilizing in remediation.

Abstract: Systems and methods for distributed ledger-based collateral movement are disclosed. According to an embodiment, a method for distributed ledger-based collateral movement may include: (1) receiving, at a first collateral custodian computer system for a collateral custodian and from a client of the first collateral custodian, a collateral asset for a target asset held by a client of a second collateral custodian; and (2) tokenizing the collateral asset and writing a collateral token to a distributed ledger platform. The second collateral custodian receives, from the distributed ledger platform, the collateral token and releases the target asset to the first collateral custodian in response to receiving the collateral token.

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: An embodiment of the present invention is directed to evaluating and identifying optimal features to address and improve automation patching success. An embodiment of the present invention compares machine leaning algorithms and their accuracy in predicting the outcome of upcoming scheduled maintenance activities. Understanding that predicted outcome and the path that is generated to reach that outcome, the features that predispose an asset into a failure state can be addressed preemptively.

Abstract: A common container interface and a method of using the same for running different platform scripts on a same user window are disclosed. A processor via the common container interface is configured to: (1) receive information related to an event broadcasted by a first library; (2) retrieve information of a first active task associated with a first platform; (3) detect a performance of a second active task associated with a second platform; (4) identify a set of components loaded in the common container interface; (5) process the set of components loaded in the common container interface; (6) retrieve components of a second library; and (7) perform a final task based on the components retrieved from the second library, where the final task is associated with the first active task and the second platform.

Abstract: A method and a system for performing a search in a dataset in a mainframe session are disclosed. The method includes receiving at least one keyword associated with at least one query. The method includes identifying at least one from among at least one step containing the at least one keyword and at least one paragraph containing the at least one keyword based on the at least one query. The method includes tagging at least one identifier to at least one from among the at least one identified step and the at least one identified paragraph. Next, the method includes verifying the at least one tagged identifier. Thereafter, the method includes displaying at least one from among the at least one identified step and the at least one identified paragraph.

Abstract: A method and a system for performing domain adaptations of social media text by using lexical data transformations are provided. The method includes: receiving a first data set that is usable for training a machine learning (ML) model that is designed to perform natural language processing tasks; training the ML model by using the first data set; receiving a second data set that relates to a social media platform; transforming a subset of the first data set into a third data set that is suitable for the social media platform; and retraining the ML model by using a combination of the first data set, the second data set, and the third data set. The transformations may include injecting emojis, emoticons, user mention indicators, hashtags, retransmission indicators, URLs, and/or inverse lexical normalizations that are often used in social media posts.

Abstract: A method and a system for methods and systems for using artificial intelligence techniques to generate insights from public data for potential commercial exploitation in a speedy, large-scale, and sophisticated manner are provided. The method includes: receiving a first document that includes first information that has been submitted for compliance with at least one governmental regulation and is publicly available; extracting the first information from the first document; analyzing the extracted first information by applying an artificial intelligence (AI) algorithm that implements a machine learning technique; and generating at least one insight based on a result of the analysis.

Abstract: Various methods, apparatuses/systems, and media for generating platform and database agnostic queries are disclosed. A processor implements an object relational model to build a system as a query generator, and causes the query generator to: receive a configuration file that includes instructions to perform certain operations; interpret the configuration file; invoke, in response to interpreting the configuration file, a predefined API; and automatically generate, in response to invoking the API, a set of platform and database agnostic queries.

Abstract: Methods and systems for aligning a logic of a machine learning model with an explanation associated with the model are provided. The method includes: receiving raw data and training a model by using the raw data; determining common background data based on the raw data; determining an inference that indicates a logic of the model; computing a first explanation about the inference based on an output of the model and the common background data; computing a model differentiator that indicates an item that is important to the logic but not to the first explanation; computing an explanation differentiator that indicates an item that is important to the first explanation but not to the logic; computing a distance metric that indicates a degree of similarity between the logic and the first explanation; and computing a second explanation that includes a respective ranking score for each feature that affects the inference.

Abstract: Methods and systems for obtaining contextual information about a machine learning model are provided. The method includes: receiving raw data that is usable for training a model; training the by using the raw data; computing a set of common background data based on the raw data; computing a first explanation based on an output of the model and the set of common background data; computing, based on an output of the model, an agnostic model representation of the model; computing, based on the first explanation and the agnostic model representation, a deep, compact, and dense explanation-driven representation of the model; and determining, based on the explanation-driven representation, contextual information that relates to the model.

Abstract: A method for providing end-to-end monitoring to facilitate automated resource pool management in a cloud computing environment is disclosed. The method includes aggregating, in real-time from an application programming interface gateway, operating metrics for resource pools; parsing the aggregated operating metrics to discover latency metrics for each of the resource pools; identifying a threshold for each of the resource pools, the threshold corresponding to the latency metrics; comparing the latency metrics for each of the resource pools with the corresponding threshold; automatically determining a remediation action based on a result of the comparing; and automatically initiating, in real-time, the remediation action.

Abstract: A method and a system for extracting information from a subpoena document are provided. The method includes: receiving a subpoena document; extracting raw text included in the subpoena document; identifying, based on the extracted raw text, entities that are named in the subpoena document; determining, based on the extracted raw text, first information that relates to a scope period, a law enforcement agency, and/or an investigative agent associated with the subpoena document; retrieving second information that relates to the identified entities from a customer database; and outputting a subset of the determined first information and a subset of the obtained second information. The method may also include using a weighted fuzzy name match algorithm to match the identified entities with the second information.