Abstract: A method for predicting customer churn includes receiving a graph data structure storing data associated with activity of a user, the graph data structure having multiple nodes, including a user input node associated with the user. The method includes updating at least the user input node with a vector representation of a received user input, and using historical user input, training a sentiment model to classify user input according to one of multiple sentiments. The method includes using the trained sentiment model to classify the received user input as a particular sentiment, and adding to the graph data structure a sentiment node that is associated with the particular sentiment and that is connected to the user input node. The method includes, using the graph data structure, training a churn model to estimate customer churn probability, and using the trained churned model to estimate a particular churn probability for the user.

Abstract: Asynchronous messaging on an instant messaging system is provided. The method comprises receiving an instant message from a send addressed to a recipient on the instant messaging system and determining a current user status of the recipient. Responsive to a determination the recipient is currently available, the instant messaging system sends the instant message to the recipient in real time. Responsive to a determination the recipient is currently unavailable, the instant messaging system, according to sender preferences, sends the instant message to the recipient via an alternative communication system or stores the instant message in a queue until triggered to send the instant message when the current user status of the recipient changes to available.

Abstract: The present disclosure relates generally to computer systems and, more particularly, to a cache refresh system and related processes and methods of use. The method of refreshing data in cache memory includes: setting, by a computer system, a refresh indicator to “true”; refreshing data in the cache memory, by the computer system, upon a determination that the refresh indicator is set to “true”; and setting, by the computer system, the refresh indicator to “false” after the refreshing of the cache memory.

Abstract: Data replication between databases is provided. The method comprises receiving, through an API integrated into a data replication tool, a request from a system of record (SoR) application for a replication setup and initialization. A number of data instances are imported through the API from a source database associated with the SoR. A manager engine integrated into the data replication tool initiates a separate replication process for each data instance. The manager engine is configured to support multiple data instances on a single virtual machine instance. If a difference between a data description language (DDL) of the replicated data instances and a DDL of a target database is detected, the DDL of the replicated data instances is automatically changed to the DDL of the target database. The replicated data instances are then exported to the target database.

Abstract: A method, computer system, and computer program manage revisions in a document. The document is displayed in a graphical user interface. The document comprises a structured data object composed from a set of tiles, wherein each tile corresponds to one or more data nodes. The tiles are composable according to a domain-specific language of an integrated development environment. One or more revisions to the structured data object are received in sequence. The revisions to each data node of the set of tiles composing the structured data object are independently managed, enabling each revision to be independently reverted to a prior state irrespective of the sequence and revisions to other data nodes of the set of tiles and without reverting the other data nodes of the structured data object to their prior state.

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.