Abstract: A method and apparatus for managing events. A stream of event data for a plurality of events corresponding to an entity is received. A timeline for the plurality of events is generated based on the stream of the event data. A set of event chains is identified based on the timeline, the event data, and a set of policies. A trigger related to an event belonging to an event chain of the set of event chains is detected. A number of effects of the trigger is identified in which the number of effects includes at least one of a number of insights, a number of actions, or a number of opportunities.

Abstract: A method for proving identity when registering for a service includes presenting by the entity a user with options for registering for the service, wherein the options comprise validating an identity of the user through a trusted partner. The method includes receiving, by the entity, user data from the trusted partner responsive to the user logging into a page on the trusted partner. The method includes validating the user identity for the service responsive to a determination that a user identifier from the trusted partner matches a user identifier on record with the entity. The method includes populating entity user data for the service according to the user data received from the trusted partner responsive to successfully validation of the user identity. In embodiments, a risk analysis score is determined for the user and registration steps for registering are selected based on comparison of the registration score with a threshold.

Abstract: Systems, methods, and computer-readable storage media for identifying and generating insights using machine learning and serverless computing systems. When events are detected, data from those events is collected and formatted into predefined formats. That formatted data is then used within an instance, where a machine learning algorithm is executed by a serverless computing system using the data within the instance as input. The result from the machine learning algorithm is an insight into the event and event data, which can be presented to users for interpretation.

Abstract: Systems, methods, and computer-readable storage media for responding to a query using a neural network and natural language processing. If necessary, the system can request disambiguation, then parse the query using a trained machine-learning classifier, resulting in at least one of an identified subject or an identified domain of the text query. The system can determine if the user is authorized to retrieve answers to the query and, if so, retrieve factual data associated with the query. The system can then retrieve a response template, and fill in the template with the retrieved facts. The system can then determine, by executing a machine comprehension model on the filled response template, a probable readability token, portion of text, of at least a portion of the filled response template and, upon identifying that the probable readability is above a threshold, reply to the text query with the at least a portion of the filled response template.

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: A method for generating an employee benefit plan. The process collects employment data about employees of a plurality of business entities. The employment data comprises a number of dimensions of data collected from a number of sources. The process identifies a number of plan benefits for benefit plan for each of the business entities. The process determines metrics for the plan benefits during a given time interval. The process simultaneously models the plan benefits and the metrics for plan benefits to identify correlations among the dimensions of data and generalize rules for competitive benefit prediction. According to the modeling, the process predicts a number of competitive benefits for an employee benefit plan of a particular business entity based on the employment data of the particular business entity. The process generates the employee benefit plan for the particular business entity based on the number of competitive benefits.

Abstract: An illustrative embodiment provides a computer-implemented method, computer system, and computer program product for identifying potential client churn. Client profile information is aggregated for a set of clients. Tax services data related to providing tax services for the set of clients is aggregated. A number of former clients who have terminated the tax services is modeled according to the client profile information and the tax services data. The client profile information and the tax services data for a number of current clients who have not terminated the tax services is compared to the modeled number of former clients. A number of at-risk clients is identified from among the number of current clients based on dissimilarities between the current clients and the former clients. The number of at-risk clients are displayed on a graphical user interface.

Abstract: A method for error management is provided. The method comprises receiving a message call request regarding an error event generated by a software application. The message call request comprises a message ID associated with an error type. In response to the call request a message cache is searched for the message ID. If the ID is in the cache, an error message associated with the ID is returned. The error message provides a description of the error and suggested remedial action. If the message ID is not in the cache, the error message is fetched from a message repository that contains error messages corresponding to respective message IDs. The fetched error message is loaded into the cache and returned. Message call request data is stored in a metrics repository. The message call request data comprises frequency metrics that describe how often the message ID is received.

Abstract: A method, computer system, and computer program product are provided for facilitating peer-to-peer micro-loan transactions. A micro-loan system determines integrity scores for a plurality of users. The integrity scores are based on human capital management information and peer-submitted feedback. These micro-loan system receives a loan transaction request from a borrower-user, and determines a risk score for the loan transaction based the borrower's integrity score. The micro-loan system identifies potential lenders based on the determined transaction risk and the lenders' integrity scores. The micro-loan system facilitates a negotiation between the borrower and the potential lenders to determine transaction terms. When terms are finalized, the loan transaction and the transaction terms are recorded in a distributed ledger, and loan funds are remitted to the borrower.

Abstract: A method, computer system, and computer program product are provided for processing wage payments to an employee according to an employee-specified pay schedule. A computer system receives a payroll event for an employee. In response to receiving the payroll event, the computer system interprets a first structured data object for processing payroll. In interpreting the first structured data object, the computer system identifies an employee-specified pay schedule according to an employee context interpreted from the first structured data object. In interpreting the first structured data object, the computer system determines that a wage payment should be made to the employee according to the employee-specified pay schedule. Responsive to determining that the wage payment should be made, the computer system transmits an order for the wage payment to the employee to a specified wage payment proxy server via a network using a specified communication channel to pay the employee.

Abstract: System and methods are provided for implementing a Unified Integration Pattern (UIP) protocol for centralized handling of data feeds between client systems. In embodiments, a method includes: receiving an authentication Application Program Interface (API) message and data file transfer request for a data transfer event from a sending client system in a network of distinct client systems; authenticating the sending client system based on the authentication API message; uploading a data file from the sending client system based on the authenticating; receiving a notification API message from the sending client system indicating that that uploading of the data file to the computer system is complete; sending the data file to a receiving client system in the network of distinct client systems based on API message and data file request and the notification API message; and sending a notification message to the sending client system regarding the data transfer event.

Abstract: A method for providing a user interface in a low-code or no-code development platform includes generating, by a computing system, a graphic user interface of an application development program. The graphic user interface includes: a first area including a list of blocks; a second area including a structured data object comprising nodes corresponding to one or more of the blocks; and a third area including a parameter field of a selected one of the nodes, wherein the parameter field is configured to receive user input defining both a static string and a dynamic variable.

Abstract: Systems, methods, and computer-readable storage media for recommending computational commands based on a weighted, ranked hierarchical graph. The system converts a map of intended user actions to canonical actions (commands) into a graph representation. Then, via a chatbot algorithm, the system receives an initial intent as a request by a user of the chatbot algorithm. Based on the popularity of alternative canonical actions, the system makes recommendations of alternative actions which are similar to the initial intent provided by the user.

Abstract: A computer-implemented method, computer system, and computer program product for deleting a file from a storage medium. A file that is marked for automatic deletion is identified. A deletion time at which the file is to be deleted from the storage medium is identified. A visual indicator associated with the file is displayed. The visual indicator changes over time to provide an indication as to a nearness of the deletion time.

Abstract: A method and apparatus visualizing compensation adjustments for employees of organization. A computer system identifies a number of merit groups for a group of employees based on employee evaluation for employees in the group of employees. The computer system identifies a number of compensation adjustment parameters. The computer system applies the number of compensation adjustment parameters to a compensation distribution of the group of employees to determine a compensation adjustment for each merit group. The computer system determines impact of the compensation adjustment on the compensation distribution of the group of employees. The computer system displays the impact of the compensation adjustment in a compensation adjustment scenario.

Abstract: A method, computer system, and computer program product are provided for managing time record events. Time record events are collected for a number of users. Each time record event includes a geolocation of one of a number of users. The time record events and geolocations for each of the number of users are models via machine learning. A current geolocation for a given user is identified. A suggested event is predicted based on the current geolocation and a current time. The suggested event is pushed to the user.