Abstract: A system can receive textual input from a client device via a chatbot interface. The system can classify, by machine learning models, the textual input into categories, where the categories correspond to content-based categories and attribute categories. The system can determine, by the machine learning models, a polarity score for the textual input based on the categories. The system can detect, via a payroll processing system, a payroll-related event based on the polarity score and the profile. The system can identify, using the machine learning models, a churning event based on the payroll-related event. The system can generate, by the machine learning models, a command to adjust access control policies associated with the profile, where the command modifies access to a subset of payroll records maintained in a database.

Abstract: The technical solutions described herein are directed to improving profile provisioning. A system receives a request to access a target application, the request comprising at least one unique identifier corresponding to a profile. The system determines, responsive to receipt of the request, an absence of an account from a directory based on the at least one unique identifier. The system provides, for display on a first graphical user interface responsive to the absence of the account from the directory, one or more requests for one or more personal identifiers. The system verifies, responsive to receipt of the one or more personal identifiers via the first graphical user interface, that the one or more personal identifiers correspond to the profile. The system generates, responsive to verification of the one or more personal identifiers, the account. The system causes, responsive to generation of the account, the target application to execute.

Abstract: A computing architecture for machine learning based application development tracking and aggregation is provided. A system can receive, using an application programming interface call, a data stream from a digital channel. The system can detect, based on the data streams and machine learning, an indication of a modification to a process executed by an application. The system can trigger, responsive to the detection of the indication, a validation operation for the modification to the process, and compare a version of the application corresponding to the modification with a previous version of the application stored prior to the indication of the modification. The system can validate, based on the comparison, the indication of the modification to the process and execute an action, responsive to the validation.

Abstract: The technical solutions described herein present a user interface with enhanced assistance content searching combining keyword and semantic search results u. A system can identify a term of a search query input into a user interface of a device and generate keyword search results, based on the term, for display in the user interface. The system can determine to use a semantic search responsive to a parameter of the keyword search results not satisfying a threshold. Responsive to this determination, the system can generate using the semantic search for a vector representation of the one or more terms and vector representations of contents to assist with the search query, one or more semantic search results. The system can provide, for display via the user interface, a combination of the keyword search results and the semantic search results, with the parameter satisfying the threshold.

Abstract: Aspects of this technical solution can identify a request to transmit a data structure to an electronic address, where the request includes a first unique key for a first account that generates the data structure, and a second unique key for a second account for the electronic address, determine, from the second unique key, that the electronic address is authorized to receive the data structure, provide, responsive to the electronic address being authorized to receive the data structure, the data structure for storage on the data repository, identify a location of the data structure stored on the data repository, generate, from the location, a uniform resource link configured for access via the second account, and transmit the uniform resource link to a device for the second account to cause, responsive to an interaction with the uniform resource link, the device to access the data structure located on the data repository.

Abstract: A method, computer system, and computer program create a template in an integrated development environment. A set of tiles is displayed within a first area of a graphical user interface. Each tile corresponds to a set of data nodes that are composable into structured data objects according to a domain-specific language. A structured data object is composed from a subset of the tiles. The subset is displayed within a second area of the graphical user interface according to a context of the data nodes. Values are applied to properties of data nodes of the subset according to the context of the data nodes in the structured data object. The template is created from selected tiles of the subset. The template includes the values for the properties as-applied within the context.

Abstract: Dynamic session headers for a computing session via a remote dictionary are provided. A system establishes a session responsive to receiving a first request from a browser, the session authenticated using a cookie configured to access a first electronic record. The system stores data corresponding to the session in a remote dictionary server. The system identifies a second request to modify the session to access a second electronic record and accesses, using the cookie, the data corresponding to the session from the remote dictionary server. The system receives, using a reverse proxy technique, data to update the session. The system modifies the session by storing the second identifier in the remote dictionary server and provides the browser with access to the second electronic record via the session.

Abstract: Automatic compliance using custom integrated machine learning is provided. For example, a system integrates one or more processors, coupled with memory, to receive a data file including digital images corresponding to statements. The system determines, using a text classification model, a type of the statements. The system identifies a section identification model relating to the type of the statements and annotated statements with labeled sections. The system determines, using the section identification model, a location and a label of a section in a first digital image corresponding to a first statement. The system extracts, based on the location and the label of the section, information from the first digital image. The system detects, based on a comparison of the extracted information with threshold information established for the label, a non-compliance with a procedure. The system performs an action responsive to detection of the non-compliance with the procedure.

Abstract: The present disclosure relates generally to the digitization of documents and more particularly, to a system, method and computer program which integrates multiple trained machine learning ensembles to identify, extract, and map a data set. The method, for example, includes receiving a data set from sources; identifying ensembles, each ensemble comprising machine learning models and each ensemble to determine an outcome; identifying a type for the data set based on a vendor type and the data set; executing a section detection module to identify sections of the data set and classify the sections; executing a page classification module; generating associations between the sections and the classifications; transforming, based on the association, the sections, the classifications, and the type, the data set into a second file type; and presenting the transformed data set for integration into a capital management system.

Abstract: A method for multi-modal deep learning is provided. The method comprises receiving input data from a database, wherein the input data comprises different data types. Responsive to receiving the input data, a number of corresponding neural extractors are identified to which to route the input data according to data type. Each neural extractor is specialized in extracting latent representations from a specific data type. The neural extractors, via a number of machine learning models, extract latent representations from the input data. The latent representations are then directed to a number of corresponding neural predictors, wherein each input data type is directed to a modality-specific neural predictor. The neural predictors then generate a number of output predictions for each input data type.

Abstract: A system and method for dynamic script generation for automated filing services is provided. In embodiments, a method includes: initiating a clickstream recording of an electronic document filing interface of a remote platform based on a triggering event; generating a clickstream recording of the electronic document filing interface, wherein the clickstream recording comprising a recording of a navigation of the electronic document filing interface through multiple steps of a document filing process, wherein the clickstream recording is in the form of scripts associated with each of the multiple steps of the document filing process; and generating automated filing instructions for the electronic document filing interface using the clickstream recording, the automated filing instructions enabling computer automated submission of one or more documents to the remote platform via the electronic document filing interface.

Abstract: Machine learning based processing of network operations using sequence alignment is described to meet performance criteria. A system can identify, from a plurality of function sequences, a sequence to perform an action and identify, for the action, a constraint on an order of functions within the sequence. The system can identify a machine learning (ML) model trained on performance data related to execution of actions using sequences of functions and according to a plurality of constraints for the plurality of actions. The system can determine, using the ML model, a likelihood that the sequence of functions performs the action within a performance tolerance and according to the constraint. The system can provide, responsive to the likelihood satisfying a threshold, an instruction to the transaction processing system to cause the transaction processing system to perform the action using the sequence of functions.

Abstract: A computer-implemented method, system, and computer program product for configuring a pay statement. An input area is presented for a user to enter settings defining how the pay statement is to be configured. The settings are received from the user. A preview of the pay statement is displayed in a preview area based on the settings. The preview provides a visual representation of how the pay statement will appear for the settings. The user may modify the settings until the preview appears as desired by the user.

Abstract: Vector-based hybrid search for chatbots is provided. A system receives, via a chatbot, a user query. The system generates, using an artificial intelligence model, a vector representation based on a combination of the user query, historical queries, and corresponding responses and identify a cached response corresponding to the user query in a semantic cache using the vector representation. The system executes, based on the cached response, a hybrid search operation including retrieval of first and second results having a first and second accuracy value by execution of a first and second search process on a first and second data source. The system selects one of the first or the second results based on modeling the first and the second accuracy value and displays, responsive to the user query, an output corresponding to the selected results.