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: 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: 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: 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: 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: 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.