Abstract: A system can include one or more processors coupled with memory. The one or more processors can determine that a first collection of resources is coupled with the first entity, detect that a second collection of resources has been decoupled from a second entity, cause a user interface to display a first element configured to receive an input to cause an aggregation of the second collection of resources into the first collection of resources based on the first collection of resources being coupled with the first entity, retrieve an electronic form associated with the aggregation of the second collection of resources into the first collection of resources, cause the user interface to display a second element configured to receive information for one or more fields included in the electronic form, and transmit one or more signals to provide the electronic form to a third entity.

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: Intelligent data ingestion is provided. A determined column header name of a selected column in an imported data file is mapped to a predicted corresponding column header name of a particular column in a database corresponding to a human capital management application using a plurality of machine learning models. It is determined whether the predicted corresponding column header name output by each respective machine learning model of the plurality of machine learning models matches. In response to determining that the predicted corresponding column header name output by each respective machine learning model of the plurality of machine learning models does match, the predicted corresponding column header name of the particular column in the database is utilized as a target column name for the determined column header name of the selected column in the imported data file.

Abstract: A system can include one or more processors to receive a compressed file, split the compressed first file into a first document and a second document, detect a first page, detect a second page, determine, based on a comparison of the first page with a plurality of stored formats, that the first page matches a first stored format of the plurality of stored formats, detect, using optical character recognition, a first field of the first page, determine, based on a comparison of the first field with a plurality of stored fields, that the first field matches a first stored field of the plurality of stored fields, extract, using optical character recognition, a first field value of the first field, and store, an association of the first field value to the first field, the first page, and the first document.

Abstract: The present disclosure relates to a system and method of providing analysis of chatbot conversation paths, and more particularly, to a system and method which provides visual and data observation of conversation paths and related information to provide a more efficient means of analysis. The method includes: receiving, by a computer system, a plurality of conversational transcripts, converting, by the computer system, the plurality of conversational transcripts into a visualization which includes a plurality of branches representing different conversation paths for the plurality of conversational transcripts; and displaying, by the computer system, the visualization with the plurality of branches.

Abstract: Providing an embedded resource management platform within a user interface frame is provided. A processor can create a user interface frame based on a resource management application provided by a resource management server, determine features of a third-party application and configure the user interface frame of the resource management application according to the features. The processor can provide the configured user interface frame for display within the third-party application and establish a secure communication channel for data exchange between the configured user interface frame and the resource management server in accordance with a security policy of the resource management server. The processor can create, for embedding with the third-party application, an application programming interface for the third-party application that is configured to call into a function of the resource management application via the secure communication channel.

Abstract: A method for fact retrieval includes receiving an input from a user, said input including a string of text that represents a user intent. The method includes performing natural language processing on the input to generate an embedding that corresponds to a semantic representation of the string of text, and based on the generated embedding, identifying an action that is associated with the user intent. The method includes executing the identified action, such that the executed action returns a result associated with the user intent, and providing the result to the user.

Abstract: A system can include one or more memory devices that can store instructions thereon that, when executed by one or more processors, cause the one or more processors to receive a selection to indicate a request for a form for display via a user interface. The retrieved form can have a first format. The system can detect that the form is associated with several fields. Further, the system can transmit an Application Programming Interface (API) call to retrieve metadata to identify the fields to be included in the form. Based on the existing fields, and those identified from the retrieved metadata, the system can modify the form to have a second format, and display the form having the second format.

Abstract: Technical solutions are directed to an intersystem configuration adjustment for periodic operation processing. A processor can receive, from an entity system, a value for a parameter of a client account. The system can determine, based on a configuration for an entity associated with the client account, to perform parameter adjustment according to a protocol of the configuration and identify a rule for parameter adjustment. The system can split, using the rule and based on an accumulated parameter value, the value for the parameter into component values. The system can assign, according to ranking of modifiers, a modifier to each of the components values and generate an adjusted parameter value. The system can command the processing system to execute a process for the client account and the time interval based on the adjusted parameter value.

Abstract: Technical solutions are directed to automating processing using machine learning and graph structure based rules. A processor can identify a graph data structure that connects, using semantic edges, a plurality of components in accordance with a taxonomy. The processor can detect, using the graph data structure, a change to a protocol used to perform an operation comprising one or more electronic transactions between electronic accounts related to the plurality of components. The processor can generate, using the graph data structure, responsive to detection of the change, one or more rules to perform the operation in accordance with the change to the protocol. The processor can construct a prompt with the one or more rules and at least a portion of an electronic document. The processor can execute, using a model trained with a generative machine learning technique, the operation based on the prompt.

Abstract: System and methods of this technology can provide a framework using machine learning based message generator. The framework can retrieve elapsed times according to computing devices executing an application. Once the elapsed times are retrieved, the framework can generate a total elapsed time that can indicate an average amount of time captured by the at least one computing devices. The framework can make a determination based on the total elapsed time and a threshold elapsed time. The threshold elapsed time can be generated from data associated with previous months, years, days, among other time periods. Upon determining that the total elapsed time is higher than the threshold elapsed time, the framework can generate instructions to display the metrics associated with the total elapsed time, on another computing device.

Abstract: The technical solutions provide ML-based generation of queries and responses for operational frameworks of entities. A processor can identify queries of a processing frameworks for an entity and construct embeddings for the queries. Each embedding can correspond to a vector of a query of the plurality of queries that form a plurality of clusters in a vector space. The processor can generate, for each cluster, using API calls to ML models, a cluster query and a cluster response for the cluster query and store, in a storage, a mapping of each cluster query to each cluster response. The processor can receive, from a client, a request and select, using the mapping, the cluster response based on a relation between the cluster query and the request. The processor can provide, to the client, the selected cluster response responsive to the request.

Abstract: Anomaly detection in cross-system operation is provided. A system can generate, using machine learning, predicted values related to a network operation for an object identifier at a first time interval. The system can identify, from one or more systems of records, a plurality of actual values output responsive to execution of the network operation at the first time interval. The system can determine a variance in at least one value of the plurality of actual values based on a comparison of the plurality of actual values and the plurality of predicted values. The system can detect, using the one or more models, an anomaly in the variance. The system can execute, responsive to detection of the anomaly, an action to update the one or more models based on the anomaly.

Abstract: A method for accessing information. A computer system receives a request for a piece of the information stored in a location between client computer systems and sources of the information. The information has formats for the information in the location. The formats for the information are controlled by the sources of the information. Each of the sources is assigned to control a group of portions of the information in the location. The computer system identifies the piece of the information corresponding to the request. The computer system returns a response to the request for the piece of the information, enabling simplifying access to the information in different formats.

Abstract: A system for automated query resolution using a multi-agent processing framework is described. The system includes one or more processors coupled with memory to generate, using one or more machine learning models and based on a query associated with an account, an embedding corresponding to a vector representation of the query. The system can perform, using the embedding, a vector semantic search in a vector space of a plurality of queries to identify documentation associated with the query and a matching question response pair. The system can identify, from a knowledge graph using the documentation and metadata, one or more entities related to the question response pair and one or more relationships between the entities. The system can select, from a plurality of agents, an agent to provide an interaction with the user to address the entities and relationships, and provide, via the processing framework, a response of the query response pair responsive to the interaction.

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.