Abstract: The present invention relates to a computer-based system for identifying supply chain risks and generating supply chain graphs representing an interconnected network of entities. An industrial graph database application is configured to account for direct and indirect (transitive) supplier risk and importance, based on a weighted set of measures: criticality, replaceability, centrality and distance. A graph-based model serves as an interactive and visual supply chain risk and importance explorer. A supply network is induced from textual data by applying text mining techniques to news stories and used to populate the supply chain/graph database.

Abstract: Provided is a technique for executing production planning having appropriate responsiveness even when the number of participating companies accommodating resources is increased. A resource accommodation device includes: a resource registration receiving unit that stores a resource registration request including a type of an available resource and an available date and time in a schedule storage unit of a predetermined resource upon receiving the resource registration request; and a resource candidate presentation unit that searches through resources stored in the schedule storage unit upon receiving a type of a requested resource and a date and time of using the resource, selects a resource satisfying a predetermined criterion, and presents the resource as a resource candidate having been selected.

Abstract: Devices, systems and processes are described, for managing technician logistics. A process may include executing computer instruction for determining an estimated time of completion (ETC) for an assigned technician for a current task at a current service site. The ETC is determined based upon an average statistical time for task completion (ASTTC) for the current task. An ETC is based upon a stress differential (S) and a task complexity coefficient (TCC). The stress differential (S) is a difference between an expected stress level (SE) for the current task and a present stress level (SP) for the assigned technician. The SP is based upon data provided by a technician monitor, such as a biometric monitor. The stress differential (S) is weighted by a technician specific weighting factor (Tn), which is based on a technician rating. The TCC is based upon a task categorization (TC) specified by a regulatory body.

Abstract: Systems and methods are provided for recommending price of benefit items offered through a membership platform. Exemplary implementations may: obtain benefit information for content creators of a membership platform; obtain consumption information, the consumption information describing acceptance of offers for the benefit items at the requested amounts by the subscribers of the content creators; train a machine learning model on input/output pairs to generate a trained machine learning model, the individual input/output pairs including training input information and training output information; store the trained machine learning model; determine, using the trained machine learning model, recommended amounts of consideration for the benefit items that correspond to greater acceptance; generate recommendations for individual content creators conveying the recommended amounts for the benefit items offered by the individual content creators; and/or perform other operations.

Abstract: At least some embodiments are directed to a system that captures a set of images via cameras positioned in a lot having a crop. The system determines based on image processing and the set of images a phenological and biological stage of the crop, and a type of pest affecting the crop. The system generates a recommendation including a type of pesticide, a concentration of the type of pesticide, and an amount of pesticide and generates a pest control implementation plan. The system generates instructions for an autonomous carrier to execute the pest control implementation plan. The instructions include instructions for the autonomous carrier to execute the pest control implementation plan and instructions to control pesticide spraying nozzles mounted in the autonomous carrier. The system monitors a traveled distance of the autonomous carrier and determines that the pest control implementation plan has been executed.

Abstract: A computer implanted method of updating a user joining a group after a user-relevant topic has been discussed, the method includes, with a processor operatively-coupled to a memory: identifying the user joining group after a first topic has been discussed in the current session of the group; and determining interest of the user in the first topic, wherein if the first topic is determined to be of interest to the user, providing an automated summary of the first topic to the user.

Abstract: According to an embodiment, a dialogue data collection system includes a presenter, a determiner, a notifier and a collector. The presenter receives response information that the dialogue management apparatus generates by advancing a dialogue status based on the spoken phrases, and presents the response information to the worker. The determiner compares the response information to one or more achievement conditions predetermined relative to the task, and determines achievement or non-achievement of the task based on whether or not the achievement conditions are satisfied. The notifier notifies the worker of achievement of the task. The collector collects dialogue data including the spoken phrase and the response information.

Abstract: A delivery plan creating device includes: a delivery request acquisition unit that acquires a delivery change request; a change instruction deadline calculation unit that calculates, based on a delivery time range contained in the delivery change request, a change instruction deadline representing a deadline that can instruct a change in a delivery plan; a storage unit that stores conditional calculation record information in which a delivery condition set at a time of creating an executed delivery plan is in association with calculation time required for creating the executed delivery plan; a search unit that selects a delivery condition set similar to the delivery change request from the conditional calculation record information; and a calculation starting time point calculation unit that calculates a calculation starting time point by counting the calculation time in association with the selected delivery condition set backward from the change instruction deadline.

Abstract: The invention relates to a computer-implemented system and method for providing data science as a service (DSaaS) using a real time data prediction contest. The method may comprise the steps of presenting a consumer interface via a network that allows a data consumer to identify a subject data source having data fields that can be predicted; and presenting a participant interface via the network that allows a participant to select a competition in which to participate and provides a web services interface enabling the participant to provide web services that can be called by the web services interface. The web services provide a prediction of the at least one data field, and the web services are permitted to utilize external data sources in generating the prediction. The prediction can then be transmitted via the network to the consumer.

Abstract: The purpose of the present invention is to effectively deploy limited human resources. Provided is an information processing device (210) including: a specifying unit (211) that specifies positions of customers in a certain space; a determination unit (212) that determines the deployment of store clerks on the basis of the number of store clerks and the specified positions; and an output unit (213) that outputs deployment information indicating the determined deployment.

Abstract: Systems, methods and products for determining a consumer-facing price using a demand model that is generated based on historical transactional data. One embodiment comprises a method implemented in a pricing module of an automotive data processing system. Data that identifies a consumer (or consumer group) and a vehicle type are received and the demand model is accessed to generate a payment corresponding to the attributes of the consumer and the attributes of the vehicle type. The demand model may be implemented in a machine learning engine that maintains a set of weights ? used in a predictive demand function. The weights are adjusted by the machine learning engine to minimize a loss function which measures deviation of demand estimated by the predictive demand function from the demand indicated by a set of historical transaction data.

Abstract: A work machine control device including a memory and a processor is disclosed. The processor may be configured to receive work order data associated with a haul machine. The work order data may identify the haul machine, a material requested for the haul machine, an amount of the material requested for the haul machine, and/or a work machine associated with the material. The processor may be configured to set an operating parameter of the work machine to perform an operation according to the work order data, and receive payload data associated with a payload of the work machine. The payload data may relate to a weight of the payload, a volume of the payload, and/or an operating state of the work machine. The processor may be configured to determine productivity data associated with the operation, and cause an action to be performed in connection with the productivity data.

Abstract: A method is provided for personalized behavioral-driven event management. The method includes determining, by a processor, derivative behaviors from user behavioral data for one or more users. The derivative behaviors include intent driven behavioral data and habitual behavioral data. The method further includes deriving, by the processor, one or more behavioral triggers that differentiate the intent driven behavioral data from the habitual behavioral data. The method also includes generating, by the processor, a risk prediction based on a predictive risk assessment model that uses the intent driven behavioral data differentiated from the habitual behavioral data by the one or more behavioral triggers to enhance a predictive power of the user behavioral data. The method additionally includes enabling, by the processor, risk intervention for at least one of the one or more users by directly targeting the behavioral triggers, responsive to the risk prediction.

Abstract: To increase a chance of meeting a user when visiting a place that is associated with the user while maintaining convenience, provided is a visit management system for managing visit information, which includes at least one of a time and an order at which a place associated with a user is to be visited, the visit management system including: request means for making a given response request to a user terminal if it is determined that a visit is approaching; obtaining means for obtaining a response to the given response request from the user terminal; and visit control means for determining whether or not the visit information is to be changed based on a positional relation between the place and the user that is obtained by the response from the user terminal, and controlling the visit information depending on the determination.

Abstract: A technique includes extracting data from a historical data store representing completed work items and associated features of the work items. The work items are associated with a lifecycle stage of an application. The technique includes training a regression model to estimate a time for completing a given work item based at least in part on the features.

Abstract: A system and method for providing crowd sourced metrics for broadcast content providers. For determinations of such metrics, user consumption of broadcast content in multiple streams by multiple content providers may be monitored and user consumption information regarding the broadcast content may be obtained. One or more content consumption metrics may be determined to quantify individual user consumption of the broadcast content. Audience metrics may be determined, for a content provider, to inform about users that are available to consume broadcast content provided by the content provider. Events within the broadcast content may be determined and event information regarding individual user consumption of the broadcast content at the event may be obtained. Event metrics may be determined based on the obtained event information to inform about consumption of the broadcast content at the event by users.

Abstract: A system for cognitive prioritization for report generation may include a processor and a memory cooperating therewith. The processor may be configured to accept a request for a new report from a user, the request having a user profile importance associated therewith and generate a predicted completion time for the new report based upon a historical completion time prediction model based upon historical data for prior reports. The processor may be configured to generate a predicted importance of the new report based upon a historical importance prediction model based upon the historical data for prior reports and determine a combined predicted importance based upon the user profile importance and the predicted importance. The processor may also be configured to generate a prioritization of the new report among other reports based upon the predicted completion time and the combined predicted importance and generate the new report based upon the prioritization.

Abstract: A method can include determining an ideal activity speed profile of an activity for a well, where the ideal activity speed profile of the activity for the well corresponds to a length of the well; forecasting a start time and a stop time using the ideal activity speed profile of the activity; generating a drilling plan using the start time and the stop time where another activity commences after the stop time; during performance of the activity for the well, receiving data indicative of an actual activity speed of the activity for the well for a corresponding length of the well; during the performance of the activity, deciding to make an adjustment to the performance of the activity for the well using the ideal activity speed profile and the actual activity speed of the activity for the well; and adjusting the stop time of the drilling plan.

Abstract: A computer-implemented method may include obtaining article information associated with the one or more articles; obtaining historical transactional data associated with purchasing the one or more articles; obtaining, via the one or more processors, article preference data associated with purchasing the one or more articles; determining, via the one or more processors, one or more assumptions based on the article preference data; determining, via the one or more processors, the quantity associated with purchasing the one or more articles based on the article information and the one or more assumptions; determining, via the one or more processors, the size distribution associated with purchasing the one or more articles based on the determined quantity, the historical transactional data, and the one or more assumptions; and transmitting, to a purchaser, a notification indicating the quantity and the size distribution associated with purchasing the one or more articles.

Abstract: Technologies for using an inferred relationship between data sets to computationally align the data sets and generate actionable output include obtaining, from an online system, a set of member records; inferring a job category based at least partly on job function data extracted from the set of member records; obtaining, from the management system, a set of job records that correspond to the inferred job category; calculating an aggregate alignment score by comparing member skills data extracted from the set of member records to job skills data extracted from the set of job records, where the aggregate alignment score is a measure of a mismatch between the member skills data for the set of member records and the job skills data for the set of job records; based on the aggregate alignment score, identifying a skill that is actionable to address the mismatch between the member skills data and the job skills data; generating actionable output that replaces, modifies, or supplements first course recommendation d