Abstract: Described is a system for characterizing communication devices by device type. The system obtains device information for a variety of communication device types, each device type associated with a user account of a bidirectional network. The communication device types are analyzed to perform regional and temporal device characterization, behavioral and feature device characterization, and device homophily analysis on the bidirectional network. The analysis is then used for targeted regional marketing.

Abstract: An event orchestrator that enables one or more users to simply and efficiently plan, create and execute a group event through automated and intelligent group interaction where a group interaction is one or more action between two or more members of the group including making a decision, sharing information, developing a plan, sharing state information, providing assistance via reminders, coordinating logistics, confirming a task, approving an action, etc. The group orchestration engine enables one or more users to use intelligence to manage and automate communication workflow between all of the participants to ensure that each is aware of their individual responsibilities, the timing and location of the event/task, the status of each task and status of each individual (location, completion of responsibilities, timely reminders to those involved, etc.). The system provides both open and closed loop management of each task and provides for state based automated reminders to individual participants.

Abstract: A method for managing a budget includes determining, by a budget management system, funds of a project management account that are to be routed to a task manager for a project. The determining comprises: determining a current progress of a task managed by the task manager, the task included in a budget for the project that identifies the task manager and that includes payment information for the task manager that specifies a financial account, determining an amount owed to the task manager, and setting the amount owed to the task manager as the amount of the funds to be routed to the task manager. The method further comprises transmitting, by the budget management system to a financial computing system, a request to transfer the determined funds to the financial account specified by the payment information.

Abstract: According to some embodiments, a communication device database may store information about a plurality of communication devices, including at least one communication address associated with each communication device, wherein each communication device is associated with a resource unit. Moreover, a network based segmentation server may access information in a resource status database, automatically assign each resource unit to a resource segment based on at least one pre-determined algorithm and information in the resource status database, and transmit information about the resource segments.

Abstract: There is provided a method for providing pricing information about a potential migration of a network computing task. The method includes the step of providing a provider availability set, identifying a price qualified set for each cloud service provider, and displaying the information about each cloud service provider and its pricing via a user interface. The price qualified set includes each cloud service provider: (a) whose price for performing the task complies with a price acceptability criteria or (b) that has a respective price proposal associated therewith reflecting a price for engaging the cloud service provider to perform the task in lieu of the task being performed by the network.

Abstract: Methods for estimating multiple types of retail business volume based on multiple types of data are described. Historical volume data, prior recorded business volume, characteristics of the store including departments, and geographical location are used. Historical data is transformed into multiple features that capture seasonality, trends, the effects of special events and other business characteristics. This data can be pooled based on business characteristics, and then machine learning regression models, e.g., multiple regression trees, are fitted to each pool of data. To estimate future volume, the same features are computed, and the regression model is applied. The estimates are presented back to the user, or transmitted electronically to other systems, including systems for creating worker schedules based on predicted volumes. Systems, apparatus and computer readable media are also described.

Abstract: A work instruction system for a facility including processing machines is configured to provide work instructions on the processing machines to workers. The work instruction system includes a process plan storage section configured to store a process plan that defines a performing sequence regarding processing performed by the processing machines and work on the processing machines performed by the workers; a next work candidate extraction section configured to extract next work candidates for the workers based on current states of the processing machines and the process plan; a capacity database configured to store work capacity of each worker with regard to each work type; and a next work determination section configured to determine next work for a specified worker from among the next work candidates, based on the work capacity stored in the capacity database.

Abstract: Embodiments for cognitively identifying a propensity for obtaining white space target entities by a processor. Similarities between one or more potential target entities and current entities may be compared according to structured data and unstructured data. A propensity to engage in a transaction agreement may be determined for the one or more potential target entities according to the similarities and historical transaction agreements.

Abstract: Embodiments for optimizing seating space in a group seating arrangement by a processor. One or more seating preferences and constraints from a user may be received. An optimized seating arrangement in the group seating arrangement, having one or more adjustable seats, may be determined according to the one or more seating preferences and constraints. A user is enabled to select the optimized seating arrangement via a graphical user interface (GUI) such that the one or more adjustable seats in the group seating arrangement are dynamically adjusted according to the optimized seating arrangement and user selection.

Abstract: A meeting assignment conflict, between two meetings, a, is detected, because a meeting organizer is attempting to assign a given conference room to a second meeting, when it is already assigned to a first meeting. It is determined whether a number of participants in the first meeting is small enough to be accommodated by a different conference room. If so, the first meeting is automatically reassigned to the different conference room, and the second meeting is assigned to the given conference room.

Abstract: A method for arranging a meeting includes associating a first system with a first user and a second system with a second user, the systems each having a mobile communications device having a positioning system, and calendar software having stored calendar data or having access to calendar data stored elsewhere, defining in the first system, by the first user, a request for a meeting with the second user, sending the request to the second system, tracking the positions of the mobile communications devices of the first and the second systems, determining if a meeting is suitable by determining if the mobile communications devices are within a predetermined distance from each other, and if the first and second users are accessible for the meeting, notifying at least one of the first and second user that it has been determined that a meeting is suitable.

Abstract: In one embodiment, a method includes using a procurement control system computer to determine a peer group of a first entity having attribute values in common with the first entity and obtaining, from the entities, configurations associated with performing procurement tasks for these entities. Configurations of the first entity associated with performing procurement tasks for the first entity are also obtained. The method then determines Key Performance Indicators (KPI values) of the peer group entities and of the first entity and detects KPI values of the first entity that are relatively lower than KPI values of the peer group entities. The method determines particular configurations that affect these KPI values of the first entity and further determines configuration values of the configurations that are associated with a threshold number of the peer group entities. Finally, the method provides a description of these configuration values to the first entity.

Abstract: The present invention is a web-based software application designed to monitor implementation of an issue. The invention includes receiving information from a user on the issue to be monitored; receiving information from a user on an assignment on the issue; and sending the assignment to a recipient. An acknowledgement is received from the recipient on the assignment. Reminders are forwarded to the recipient when the acknowledgement is not received within a predetermined time period, and the reminders can be automatically forwarded at predetermined time periods. Information is received on the issues from a user or an external source, and listed in a form which can be filtered and sorted according to predetermined criteria. A completion status of the regulatory issue can be displayed.

Abstract: Embodiments relate to analyzing developmental progress and productivity of users based upon monitored activity features, and inferring expected levels of productivity for future time intervals. By analyzing code check-ins submitted by a user over a time interval, as other features associated with user activities during the time interval, a metric indicating a level of quality or productivity for the time interval can be determined. Based upon the determined metrics for the time intervals, expected levels of productivity for the user can be inferred for future time intervals. In addition, tasks can be automatically performed to reduce an amount of impact on the productivity of the user during time intervals of expected high productivity, such as scheduling of tasks outside of the time intervals, adjusting certain settings of a user device, and/or the like.

Abstract: Techniques to provide recommended data visualizations or analytical operations are disclosed. In various embodiments, an indication is received of a set of data for which a data visualization or analytical operation is to be provided. The set of data is analyzed to determine one or more data attributes of the set of data. A data visualization or analytical method to be recommended is selected for the set of data, based at least in part on the determined one or more data attributes.

Abstract: Methods, systems, and non-transitory computer readable medium for predicting arrival time of components based on historical receipt data. A method includes receiving historical receipt data corresponding to features. The method further includes performing feature analysis to generate additional features for the historical receipt data. The method further includes selecting a first set of features including at least one of the additional features. The method further includes predicting, based on the first set of features, an arrival time for one or more components of a manufacturing facility. The method further includes causing, based on the predicted arrival time, modification of a schedule in a file associated with the one or more components of the manufacturing facility.

Abstract: Techniques for scenario planning are provided. In one example, a computer-implemented method can comprise analyzing, by a device operatively coupled to a processor, content using a topic model. The content can be associated with a defined source and is related to one or more current events. The computer-implemented method can also comprise determining, by the device, one or more portions of the analyzed content that are relevant to one or more key risk drivers using a risk driver model. The computer-implemented method can also comprise aggregating, by the device, the determined one or more portions into one or more emerging storylines based on values of one or more attributes of the topic model.

Abstract: The field of the invention relates to methods, servers and computer program products for providing a set of prices. A computer server receives a request for a price for goods or services, such as airfares, together with parameters defining those goods or services, for example: activity type, such as airfare, hotel booking, train fare; date range; destination; origin; desired weather conditions; star ratings; keywords; any other user defined preference. One or more processors programmed with software then infer, estimate or predict estimated prices from an incomplete historical price dataset by analysing patterns in that dataset and provide the price estimates to an end-user computing device, such as a personal computer, smartphone or tablet.

Abstract: A method and system for operating an enterprise via an optimized business model. An output benchmark value is generated. An initial benchmark value for a resource of an enterprise is updated based on the output benchmark value. The business model is updated. A process is iteratively performed based on the updated benchmark value and model, until the benchmark value is changed by less than a predetermined threshold to generate the optimized business model. The enterprise is operated in accordance with the optimized model which includes: generating performance measures of usage of a computer resource, dynamically displaying a dashboard of the performance measures, determining from the displayed performance measures that the computer resource is a current bottleneck or is likely to become a bottleneck in the near future, and optimizing the computer resource's usage using the displayed performance measures to reduce data throughput delay and increase throughput of bottleneck operations.

Abstract: Techniques for scenario planning are provided. In one example, a computer-implemented method can comprise analyzing, by a device operatively coupled to a processor, content using a topic model. The content can be associated with a defined source and is related to one or more current events. The computer-implemented method can also comprise determining, by the device, one or more portions of the analyzed content that are relevant to one or more key risk drivers using a risk driver model. The computer-implemented method can also comprise aggregating, by the device, the determined one or more portions into one or more emerging storylines based on values of one or more attributes of the topic model.