Abstract: Aspects of the present disclosure relate to assisting a requestor to manage activities a cross a plurality of diverse actors. In examples, a system is provided that includes at least one processor, and memory storing instructions that, when executed by the at least one processor, causes the system to perform a set of operations. The set of operations include receiving a request for a task to be completed, from the requestor, receiving actor context data, recording an assignment of the task to an actor, based on the actor context data, generating a communication to request that the actor complete the assigned task, and sending the communication to the actor.

Abstract: Groups of patrons may be discovered by measuring website and mobile site patron clickstream data in a mathematical and unsupervised way over a predetermined time and by graphically clustering the patron clickstream data using non-linear dimensionality reduction in the form of a Uniform Manifold Approximation and Projection algorithm (UMAP). The data from the UMAP may then be feed into a Density Based Spatial Clustering of Applications with Noise algorithm (DBSCAN) in order to identify a center of each cluster. Next, using the data from the UMAP and the center of each cluster from the DBSCAN, a K-Nearest Neighbor algorithm (KNN) may be applied to identify data points closest to the center of each cluster and to shade each of the data points to graphically identify each cluster of the plurality of clusters. Next, illustrate a graph on the display representative of the data points shaded following application of the KNN.

Abstract: Methods and computer readable medium for queue management are disclosed. The method includes displaying a queue panel including two or more queue categories of queues. A queue is configured to include items that have at least one parameter in common. The queue panel is further configured to display activity data corresponding to queues in at least one of the two or more queue categories. The method also includes determining whether the activity data needs to be refreshed, identifying a list of queues belonging to the at least one queue category; generating a refresh request for the identified list of queues; communicating the refresh request to a remote server; receiving updated activity data from the remote server for the identified list of queues; and updating the activity data displayed in the queue panel based on the received updated activity data.

Abstract: Predicting trends may include obtaining trend data from one or more sources, extracting a plurality of trends from the trend data, and producing permutations combining terms or concepts appearing in the plurality of trends to create trend candidates. A first term from a first trend or concept in the plurality of trends may be combined with a second term or concept from a second trend in the plurality of trends.

Abstract: The embodiments of the present disclosure provide a method and an Internet of Things system for processing a work order of a gas platform based on smart gas operation. The method includes: obtaining execution data of the gas work order; determining at least one gas problem corresponding to the gas work order and a reference reason of the at least one gas problem based on the execution data; determining a target processing scheme of the gas work order based on the at least one gas problem and the reference reason, and sending the target processing scheme to a user terminal of an executant; in response to that a feedback of the user terminal satisfies a feedback preset condition, improving a risk level of the gas work order and providing an early warning notification.

Abstract: Apparatus, system and method for supply chain management (SCM) system processing. A SCM operating platform is operatively coupled to SCM modules for collecting, storing, distributing and processing SCM data to determine statistical opportunities and risk in a SCM hierarchy. SCM risk processing may be utilized to determine risk values that are dependent upon SCM attributes. Multiple SCM risk processing results may be produced for further drill-down by a user. SCM network nodes, their relation and status may further be produced for fast and efficient status determination.

Abstract: Predicting trends may include obtaining trend data from one or more sources, extracting a plurality of trends from the trend data, and producing permutations combining terms or concepts appearing in the plurality of trends to create trend candidates. A first term from a first trend or concept in the plurality of trends may be combined with a second term or concept from a second trend in the plurality of trends.

Abstract: Groups of patrons may be discovered by measuring website and mobile site patron clickstream data in a mathematical and unsupervised way over a predetermined time and by graphically clustering the patron clickstream data using non-linear dimensionality reduction in the form of a Uniform Manifold Approximation and Projection algorithm (UMAP). The data from the UMAP may then be feed into a Density Based Spatial Clustering of Applications with Noise algorithm (DBSCAN) in order to identify a center of each cluster. Next, using the data from the UMAP and the center of each cluster from the DBSCAN, a K-Nearest Neighbor algorithm (KNN) may be applied to identify data points closest to the center of each cluster and to shade each of the data points to graphically identify each cluster of the plurality of clusters. Next, illustrate a graph on the display representative of the data points shaded following application of the KNN.

Abstract: A system and method are disclosed for an inventory planner that generates an inventory policy using any form of demand distributions, non-linear cost functions and/or multiple target measures of service levels, while taking into account a supply order lead time, such as, for example, a static or stochastic supply order lead time. The inventory policy generated by the inventory planner comprises an optimal and reproducible solution to one or more supply chain planning problems.

Abstract: A method and system for facilitating a vehicle transaction are provided. The method includes receiving a vehicle listing from a seller device identifying a seller vehicle to be sold, identifying market trends based on previous vehicle transactions related to the seller vehicle, and causing one or more seller suggestions to be displayed on the seller device identifying one or more modifications to the seller vehicle which, if satisfied, would increase a probability that the seller vehicle will be matched to a buyer request received from a buyer device.

Abstract: Systems and methods for detecting, classifying, and managing impediments are disclosed. For example, embodiments may be related to impediments in project management. The proposed systems and methods are configured to evaluate data harvested from multiple different sources (in different formats), identify potential impediments that may be described or present in the data, and classify said impediments based on whether the impediment is non-technical or technical. In addition, the proposed systems implement a technical solution of active learning combined with reinforcement learning to produce a feedback loop that, over each iteration, improves the accuracy of the impediment classification. The impediment management assistant is configured to identify impediments from various inputs sources across industries with an AI-based self-learning capability, providing a robust and accurate model even with only a limited training dataset.

Abstract: A method and system to generate a stage overview which is comprised of stages corresponding to buckets containing information records grouped based on a predefined criteria. The stages of the stage overview can be designed based on various criteria, e.g., deal/record value, calendar period, sales funnel stages, and the stages are formed as configured by the user. The stage overview provides an overall visualization of the number of deals or records and cumulative amount in each bucket. The stage overview enables the user to navigate from one bucket to any other stage or a bucket, easily and quickly. The buckets are created and maintained according to the stages and vice versa. A bucket is a collection of information records, deals, or the like. Records that fall under the same stage can be grouped and listed out together under one bucket.

Abstract: A processor may receive a request to display a user interface (UI) for a user account. The processor may determine a context for the UI from information specific to the user account. The processor may select one of a plurality of UI elements based on the determining. In some embodiments, the selecting may include evaluating a value function taking the information specific to the user account and information about the context as inputs. The processor may cause the UI including the selected one of the plurality of UI elements to be displayed in response to the request.

Abstract: A system and method for facilitating convergence includes receiving data relating to a first user's history of connections with other users, receiving contextual data about the first user, the contextual data including organizational graph data, providing the data and the contextual data as inputs to a trained machine-learning (ML) model for identifying a second user for the first user to connect with based on the data and the contextual data, receiving the identified second user as an output from the trained ML model, and providing the identified second user as a connection suggestion for display in a user interface element.

Abstract: A worksite controller can manage machines, including a first machine configured to perform a first task and a second machine configured to perform a second task that follows the first task. The worksite controller can predict a time that the first machine will complete the first task at a work area. The worksite controller can also predict a time the second machine would arrive at the work area to perform the second task. Based on a comparison of the time the second machine would arrive at the work area and the predicted first task completion time, the worksite controller can instruct the second machine to enter or exit a low-power state. For example, if the second machine would arrive at the work area earlier than the predicted first task completion time, the worksite controller can instruct the second machine to avoid idling while waiting by entering the low-power state.

Abstract: An adaptive risk management application retrieves data corresponding to an asset. The asset is a computing device or software application of an enterprise system. The adaptive risk management system identifies a set of vulnerabilities of the asset. For each vulnerability in the set of vulnerabilities, the adaptive risk management application generates a recommendation for mitigating the vulnerability. The adaptive risk management application generates a user interface for the asset. The user interface comprises a list of the recommendations. The adaptive risk management system provides the user interface for display.

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.