Abstract: In some implementations, a device may provide, as input to a model, input data indicating current value(s) corresponding to key performance indicator(s) (KPI) associated with current calls to a contact center, enterprise event(s), and stability event(s) associated with the contact center. The device may receive, as an output from the machine learning model, predicted value(s) corresponding to the KPI(s). The device may determine predicted rate(s) of change of the KPI(s) based on a comparison of the current and predicted value(s). The device may assign severity level(s) corresponding to the KPI(s) based on the predicted rate(s) of change. The device may determine a service level impact based on the predicted value(s). The device may determine a performance degradation score based on the severity level(s) and the service level impact. The device may determine and automatically apply a strategy based on the performance degradation score.

Abstract: A check-in system includes an amusement park attraction associated with a check-in process. The check-in system also includes a database and a controller. The database stores data indicating availability of the amusement park attraction. The controller receives a request from a guest to attend the amusement park attraction. In response to the request, the controller sends one or more forms, one or more waivers, or both, to the guest. The controller also receives the one or more forms, one or more waivers, or both, after completion. Moreover, the controller verifies the one or more forms, the one or more waivers, or both, to be in compliance for the amusement park attraction. Furthermore, in response to determining compliance, the controller sends an entrance code to the guest, which indicates a verified status.

Abstract: Methods, systems, and computer programs are presented for estimating if a user belongs to an audience category. One method includes an operation for accessing events generated at a website. Each event comprises a data structure describing an operation performed by a user, from a group of users, when accessing the website. Further, the method includes an operation for providing event information and information of a first user, for a predefined time window, as input to an audience machine-learning (ML) model. The audience ML model is trained with training data comprising values for features that include event features, user information features, and audience labels. The method further includes operations for generating, by the audience ML model, a score for the first user indicating a probability that the first user belongs to the audience, and for determining if the user belongs to the audience based on the score.

Abstract: Exemplary implementations may provide a workforce sentiment and structure descriptions. A survey management tool can solicit and retrieve ratings data from employees via a survey. The received ratings can be aggregated and scaled according to employee ratings to identify and adjust for the impact of influential employees. An organizational chart may be updated based on the survey results and users may navigate the updated organizational chart to review employee ratings.

Abstract: A specialized service engine receives data from an entity located in one domain about transactions performed by the entity with other entities from another domain. The service engine determines if the entity must follow the rules regarding selected resources in the other domain. The service engine then determines which of the rules established by the other domain the entity must follow. The service engine then determines and communicates to another computer of the entity the burden of complying with the rules of the other domain. The service engine then further computes the cost of the burden, and communicates the computed cost to the other computer.

Abstract: Multidimensional data analysis applications, including OLAP applications, simultaneously aggregate across many sets of dimensions. However, computing multidimensional aggregates is a performance bottleneck for OLAP data analysis applications. In order to improve the speed of interactive analysis, OLAP databases often precompute aggregates at various levels of detail and on various combinations of data attributes. However, the cost and speed of precomputation influences how frequently the aggregates can be brought up-to-date. Systems and methods disclosed herein provide graph based multidimensional analysis processing without pre-aggregating or precomputing the data along dimensional hierarchies, and by providing the results to the end user on-demand. Since preaggregation or precomputation of data along dimensional hierarchies is not necessary, implementations allow the end user to perform data analysis as soon as the data is available.

Abstract: A system and method are disclosed for searching alternate inventory policies from an initial inventory policy of an inventory of one or more supply chain entities to a target inventory policy by receiving a current state of items in a supply chain network determining an initial inventory policy comprising a reorder point and a target quantity, identifying one or more provisional inventory policies calculating a cost, a fill rate, and a no-stockout probability, and transporting items among the one or more supply chain entities to restock the inventory.

Abstract: Coordination and management of workflows in parallel among a plurality of approval applications executing on machines within an enterprise network by receiving, at a central location, workflows from an initiating application, determining a set of approvals for each respective workflow and respective approval routes, performing an initial distribution of the respective workflows from the central location by propagating the workflows across their respective approval routes to respective members of the set of approval applications, applying at respective approval applications a set of approval rules to the workflow to determine a workflow's approval status as either approved or rejected, returning the workflow's approval status to the initiating application via the central location, and performing one or more follow-up distributions of workflows from the central location until either all approval applications indicate a status of approved or a number of follow-up distributions reaches a pre-defined maximum numbe

Abstract: Systems and methods to identify inefficiencies in a worksite and generate recommended actions to improve the inefficiencies are provided herein. The inefficiencies may be identified by analyzing equipment data from mobile equipment and fixed equipment associated with the worksite. The equipment data may be used to generate one or more routes through the worksite. The equipment data and one or more routes may be used to generate a cycle time for the worksite. The equipment data, one or more routes, and cycle time may be used to identify an inefficiency in the worksite, and the identified inefficiency may be used to generate a recommended action to improve and thus remedy the inefficiency.

Abstract: A system for performing real time data analytics in a supply chain environment. The system receives data file from a user. The system then identifies a plurality of data definitions present in the data file upon analysing the software system installed on the user's machine. Further, the system compares the plurality of data definitions with a master definitions based on the metadata corresponding to the software system and a trained data definition model. Subsequently, the system transforms the plurality of data definitions into the master definitions using a set of data transformation techniques. A transformed data file based on the transformation of the plurality of data definitions is created. Finally, the system links the transformed data file with the master data in real time to remotely access the transformed data file in real time for performing data analytics in a supply chain environment.

Abstract: In an approach for transforming workflows based on goals and constraints, a processor receives a workflow definition and one or more events for a workflow output by a workflow orchestrator, wherein the one or more events are at least one of a parsing event and a scheduling event. A processor determines, using one or more transformers, one or more transformations to the workflow based on a set of goals and constraints, wherein the one or more transformations is at least one of addition of a new node, addition of a new graph, modification of at least one existing node, modification of at least one existing graph, removal of at least one existing node, and removal of at least one existing graph. A processor dynamically applies, using one or more enforcers, the one or more transformations to the workflow based on the set of goals and constraints.

Abstract: Write back to customer relationship management systems is provided. Data logging of activities can be performed for sales professionals that use other third-party software solutions during their selling process. The logged data can be written back to the CRM system instead of needing input by the sales professionals. Certain data and generated insights can be written back to further enhance the data available to clients' sales organizations. Capability of writing back to target CRM systems can leverage existing APIs. Identification of data to be written back to the CRM systems is performed by an intelligent write back (IWB) system. The IWB system will write back to the standard objects in tenant CRMs. The IWB system can create custom fields within those objects for write back data.

Abstract: Systems and methods are disclosed herein for reducing a risk of associating with a client that may engage in illegal activity. A system accesses data associated with an entity for a given context, applies a plurality of AI models to the data based on the context to generate a plurality of AI assessments. Data for showing risk factors, assessments of the risk factors, and data for evaluating risk factors can be transmitted for rendering in a user interface in a display device. Analyst feedback can be received and used to update the AI models.

Abstract: An embodiment of the present invention is directed to enabling real-time data processing to analytical applications that use a real-time cache to drive business decisions. An embodiment of the present invention is directed to limiting data transformation (e.g., transforming data only once) and making it available for multiple consumers and stores. For example, an embodiment of the present invention is directed to an elastic extract transform load (ETL) extension to a strategic data transformation pipeline to support uniform content distribution to various stores as well as reactive processing. Data transformations may be treated as ETL, ensuring operational and analytical stores see and act on the same data.

Abstract: A conversation control system and associated methods adapt or modify currently active or future conversations and/or interactions based on machine-generated models that continuously evaluate client satisfaction over the entirety of the active conversations and/or interactions. The system receives a conversation with utterances by two or more participants, and generates a vector with features comprised of words, word sequences, and category classifications associated with at least one of the utterances. The system provides the features as inputs to a prediction model that assigns weights to a set of features based on a modeling of different impacts that each feature of the set of features has on one or more aspects of customer satisfaction. The system generates predictions for those aspects of customer satisfaction without input from the participants based on the assigned weights, and performs an automated action based on the one or more predictions.

Abstract: Examples of the present disclosure relate to a system, method, and computer readable medium for windshield safety. A windshield safety system may include a sensor that detects possible damage to a windshield of a vehicle. In an example, the windshield safety system includes a display corrector in the vehicle to alter the display of information in response to a possible damage detection by the sensor. The windshield safety system can also include a driver information system in the vehicle to send an appointment request in response to a possible damage detection by the sensor.

Abstract: A method of facilitating a match between an employer with at least one job opening and job seekers is provided. The employer has a set of position preferences related to the job opening. The job seekers have suitability data, resumes, etc., that are provided to the employer. The suitability data includes normalized assessment data. The method includes the steps of: determining a position quotient based on the position preferences; deriving a performance quotient for each job seeker; comparing each the performance quotient to the position quotient; and ranking each the job seeker based on the comparison of the performance quotient to the position quotient.

Abstract: An asset management system is provided and includes a memory and an event analyzer. The memory maintains event data and at least one cost. The event data characterizes events experienced by assets distributed among sites of a fleet. The event data include an asset location within an asset hierarchy of the fleet and event parameters corresponding to the event. Costs can be correlated to respective events. The analyzer generates a GUI displaying a first window hierarchically listing of assets organized by their hierarchical position within the fleet. The analyzer receives, via the GUI, a user selection of a hierarchical level within the hierarchical list, and identifies events associated with the selected hierarchical level. The analyzer updates the GUI to display a second window in response to receipt of the user selection. The second window lists the identified events, with corresponding event data costs.

Abstract: A computing system is configured to determine an update to a master schedule for a construction project that comprises a plurality of tasks, each task comprising a respective scheduled start date; execute a machine learning model that has been trained with historical construction project schedule data and thereby identify one or more tasks that is each a candidate for commencement earlier than its scheduled start date; cause a client station to display each identified task, its scheduled start date, a respective new start date, and an impact on the master schedule if the task is commenced on the respective new start date; receive user input indicating a selection of a given task that is to be commenced earlier than its scheduled start date; and cause a notification to be transmitted to a party responsible for completing the given task indicating that the given task has been nominated for earlier commencement and requests approval for earlier commencement.

Abstract: A first paint color is acquired as a color of a paint of a first vehicle. A second paint color is acquired as a color of a paint including a peelable layer and to be applied over at least a part of the paint in the first paint color. A current or future valuation price of the first vehicle is acquired based on the first paint color or the second paint color.