Abstract: The disclosure generally describes methods, software, and systems, including a method for providing a recommended action. Data that is associated with requests and that is used in supporting actions made regarding the requests is collected from multiple sources. Default criteria based on the data and supporting a determination of a recommended action responsive to the given request is provided for presentation in the user interface. The user interface includes interactive sliders, each interactive slider being associated with a criterion and having a default slider position associated with a relative weighting factor for the criterion. An algorithm is executed that is associated with a request type of the given request. Absolute weights are assigned to the default criteria using the relative weighting factors. The given request is evaluated using the default criteria and the absolute weights to determine the recommended action, which is provided for presentation in the user interface.

Abstract: Methods and systems are used for determining new teams. Personality data associated with one or more individuals is received. The personality data is used to select a candidate from the one or more individuals for placement on a new team associated with a project or to match the candidate to an existing team. Performance data for one or more existing teams on one or more existing projects is received. Team preference data is received that identifies an importance value associated with each team aspect of one or more team aspects used in a determination of the new team or for the existing team. A new team for the project or an update to the existing team is determined using machine learning and based on the personality data, the performance data, and the team preference data.

Abstract: The disclosure generally describes methods, software, and systems, including a method for creating a multi-dimensional representation (MDR). A creation request is received to create an MDR referencing at least one identified data segment in each of at least a first source document. An MDR object is generated that includes data segment information for the at least one identified data segment and a set of resource metadata comprising, for each data segment, an identification of a source document that includes the particular identified data segment, a resource type of the source document, and a set of coordinates associated with the particular identified data segment within the source document. The MDR object is stored to a clipboard containing MDR objects. An insertion request is received to insert the stored MDR object into a target document. The stored MDR object is inserted from the clipboard into a target document.

Abstract: The disclosure generally describes methods, software, and systems, including a method for providing a recommended action. Data that is associated with requests and that is used in supporting actions made regarding the requests is collected from multiple sources. Default criteria based on the data and supporting a determination of a recommended action responsive to the given request is provided for presentation in the user interface. The user interface includes interactive sliders, each interactive slider being associated with a criterion and having a default slider position associated with a relative weighting factor for the criterion. An algorithm is executed that is associated with a request type of the given request. Absolute weights are assigned to the default criteria using the relative weighting factors. The given request is evaluated using the default criteria and the absolute weights to determine the recommended action, which is provided for presentation in the user interface.

Abstract: The disclosure generally describes methods, software, and systems, including a method for creating a multi-dimensional representation (MDR). A creation request is received to create an MDR referencing at least one identified data segment in each of at least a first source document. An MDR object is generated that includes data segment information for the at least one identified data segment and a set of resource metadata comprising, for each data segment, an identification of a source document that includes the particular identified data segment, a resource type of the source document, and a set of coordinates associated with the particular identified data segment within the source document. The MDR object is stored to a clipboard containing MDR objects. An insertion request is received to insert the stored MDR object into a target document. The stored MDR object is inserted from the clipboard into a target document.

Abstract: The disclosure generally describes methods, software, and systems, including a method for optimizing people flows. User preferences and a user context are received. Resource information is accessed for resources to be used by the user and other users during participation in a multi-human activity scenario. Optimizations are generated based on the user preferences, user context, and resource information. The optimizations include best start times for the user and other users and is generated based on current resource loads and expected times of use. The optimizations include, for a given resource-user pair, locations, times, and events, each event associated with a separate user task at a given resource. A schedule, provided to the user, includes the best start time and, for each resource assigned to the user, a time, a location, and an event schedule indicating mandatory, preferred and optional times and sub-locations of the events.

Abstract: Systems and methods for receiving cellular network data including a plurality of device identifiers and, for each of the plurality of device identifiers, determining a first cell border crossing associated with a device identifier, determining a second cell border crossing associated with the device identifier, determining a speed of movement of the device associated with the device identifier between the first cell border crossing and the second cell border crossing, determining, based on the speed of movement of the device, that a movement transition for the device associated with the device identifier has occurred between a first movement category and a second movement category, and storing movement data related to the movement transition and associated with a location of the device associated with the device identifier.

Abstract: Systems and methods for receiving cellular network data including a plurality of device identifiers and, for each of the plurality of device identifiers, determining a first cell border crossing associated with a device identifier, determining a second cell border crossing associated with the device identifier, determining a speed of movement of the device associated with the device identifier between the first cell border crossing and the second cell border crossing, determining, based on the speed of movement of the device, that a movement transition for the device associated with the device identifier has occurred between a first movement category and a second movement category, and storing movement data related to the movement transition and associated with a location of the device associated with the device identifier.

Abstract: Example systems and methods of facilitating multiple mode messaging are presented. In one example involving a first communication device, a user selection of one of a plurality of message input modes including a text input mode, a graphical input mode, and an audio input mode is received. A user input interface for the selected message input mode is presented. User messaging input is received via the user input interface for the selected message input mode. A user command is received to send the user messaging input as at least one communication service message to a second communication device. In response to the user command, the at least one communication service message is transmitted via a communication network to the second communication device.

Abstract: A current location of a mobile user device within a building may be determined and presented to the user via map information. Map information, including data about locations within the building, may be retrieved and business process information associated with a user's execution of a business process may be accessed. The business process may have a series of business process steps, and steps may be associated with the pre-determined locations within the building. It may then be automatically arranged for the map information to be displayed, along with information about the business process steps, via the mobile user device based on the current location of the mobile user device within the building. The system may automatically direct the user step-by-step through a process using map and/or audio information indicating what the next step is, where the next step is located, and/or time requirements associated with the next step.

Abstract: A current location of a mobile user device within a building may be determined and presented to the user via map information. Map information, including data about locations within the building, may be retrieved and business process information associated with a user's execution of a business process may be accessed. The business process may have a series of business process steps, and steps may be associated with the pre-determined locations within the building. It may then be automatically arranged for the map information to be displayed, along with information about the business process steps, via the mobile user device based on the current location of the mobile user device within the building. The system may automatically direct the user step-by-step through a process using map and/or audio information indicating what the next step is, where the next step is located, and/or time requirements associated with the next step.