Abstract: Provided in some embodiments are systems and methods for acquiring and employing resiliency data for leadership development. Provided in some embodiments is a method that includes acquiring a set of resiliency data for an employee, determining a resiliency score for the employee based at least in part on the set of resiliency data, determining that the employee is recommended for promotion to a leadership position within an organization based at least in part on the resiliency score, determining a ranking of the employee relative to other employees within the organization based at least in part on the resiliency score, and serving, to a first device for display to the employee, an employee leadership review dashboard including an indication of the resiliency score for the employee, and an indication of the ranking of the employee relative to the other employees.

Abstract: A method includes receiving, at a user device, a plurality of signals pushed to the user device from a plurality of store devices located in a plurality of physical storefronts. Each signal includes a store identifier identifying the associated physical storefront. Store visit data is generated for each signal, the store visit data including the store identifiers and time data representing times associated with visits to the physical storefronts. Store visit data is aggregated for the plurality of signals pushed to the user device. Aggregated store visit data is transmitted to an analytics server configured to combine aggregated store visit data from a plurality of user devices and generate analytics data from the combined aggregated store visit data. At least a portion of the time data is removed from the aggregated store visit data before transmission to the analytics server.

Abstract: Provided herein are systems, methods and computer readable media for programmatically updating budgeting data, target consumer profile data, and promotion component data for communication to a social network system. An example method may include transmitting, via a social network system interface, budgeting data, target consumer profile data, and promotion component data to the social network system, receiving, at a promotion and marketing system, consumer transaction data, consumer redemption data, and consumer-promotion interaction data, determining, via the promotion and marketing system, at least one of updated budgeting data, updated target consumer data, and updated promotion component data based on the consumer transaction data, the consumer redemption data, and the consumer-promotion interaction data, and transmitting, via the social network system interface, the updated budgeting data, the updated target consumer profile data, and the updated promotion component data to the social network system.

Abstract: An approach is provided that creates a co-opetition index. The co-opetition index is created by mining data from online sources that are related to competitor activities associated with a competitor of an organization. The competitor is selected from many competitors of the organization. Possible business actions are automatically identified that correspond to the competitor activities. The set of possible business actions are analyzed using a game theory analysis. The game theory analysis results in an identification of next actions that maximize a payoff to the organization. The co-opetition index is adjusted based on a classification of the next actions on a competitiveness scale. The resulting co-opetition index is then provided to a user of the system.

Abstract: A method includes receiving, at a user device, a plurality of signals pushed to the user device from a plurality of store devices located in a plurality of physical storefronts. Each signal includes a store identifier identifying the associated physical storefront. Store visit data is generated for each signal, the store visit data including the store identifiers and time data representing times associated with visits to the physical storefronts. Store visit data is aggregated for the plurality of signals pushed to the user device. Aggregated store visit data is transmitted to an analytics server configured to combine aggregated store visit data from a plurality of user devices and generate analytics data from the combined aggregated store visit data. At least a portion of the time data is removed from the aggregated store visit data before transmission to the analytics server.

Abstract: A work order is dynamically scheduled by a computer system based on an electronic work order that includes information describing one or more tasks and a weather threshold associated with the one or more tasks. Based on the work order, the system creates a job plan, determines an amount and type of resources needed to complete the job plan, and schedules a time on which the job plan is to be performed. The system may further periodically receive weather forecast information from one or more weather information providers, and based on the weather forecast information, may initiate a job plan remedial process.

Abstract: In a security plan support method, a computer calculates an expected value of a loss that will be incurred when an intruder reaches a target with respect to each of a plurality of targets that are targets for the intruder in a route graph that depicts movement routes within the security area; specifies a security line that crosses the minimum number of edges of the route graph in the case of separating a target that has the greatest expected value of the loss from positions that is an intrusion position or positions of the intruder in the route graph; and calculates a security probability which minimizes the probability of the intruder intruding into the target side of the security line according to the route graph, the security line, and the number of the security guards.

Abstract: A method for assessing the risk and cost for data loss and disaster recovery (DR) plans includes providing an application having a graphical user interface (GUI) comprising first and second windows arranged adjacent to each other. The first window comprises a catalog of components used to generate data disaster recovery (DR) configurations and the second window displays the generated DR configurations. A first DR configuration is generated in the second window and components are added to the first DR configuration by dragging and dropping components from the catalog into appropriate locations of the second window. Metrics for the first DR configuration are calculated and reported in the second window. A second configuration is also similarly generated in the second window and the metrics results are graphically compared to each other.

Abstract: A system and method for automatically or semi-automatically analyzing business processes including elements for or processes for: monitoring business activities as conducted by a user of a target software application by monitoring the computer screens viewed by the user and user-system interaction; using pattern matching to determine the semantic elements of each computer screen and action; using screen element identity relationships to compare screens and develop process flows based on a sequence of the computer screens and the user-system interaction; using process flow end-point comparisons to synthesize business process fragments from the process flows; and combining business process fragments to create a business process model.

Abstract: A mobile computer network for the navigation among and transfer of context information from remote participants with an enabling Network architecture and related business model.

Abstract: A method for managing a current revision on prior revision of an order is described. A modified set of compensations tasks for addressing amendments indicated in the current revision are determined. The modified set of compensation tasks may be determined by carrying over one or more compensation tasks, associated with the prior revision, that have not yet been completed. Alternatively or additionally, the modified set of compensation tasks may be determined by adding new compensation tasks based on the current revision.

Abstract: An aspect includes receiving a request to assign a task to a user based on biometric data. Correlated data that correlates characteristics of tasks previously performed by the user with observed productivity and stress levels of the user while performing the tasks is accessed. An optimization model is applied to select a task that maximizes a predicted productivity of the user in performing the task while at the same time minimizes a predicted negative stress level of the user while performing the task. Input to the optimization model includes the correlated data and characteristics of a plurality of potential tasks. The selected task is assigned to the user. The correlated data for the user is updated based on the observed productivity of the user in performing the selected task, the observed stress level of the user while performing the selected tax, and at least one characteristic of the selected task.

Abstract: Embodiments of the invention are directed to a fleet management system that assists a fleet, such as a landscaping crew, forestry company, grounds care manager, or the like, with management and monitoring the fleet's collection of outdoor power equipment, like lawn mowers, trimmers, chainsaws, and/or the like, and the operators of the outdoor power equipment. In this regard, embodiments of the invention are directed to systems and methods for automatically gathering data about one or more pieces of outdoor power equipment and one or more human operators of the equipment, processing the data into more useful data and data formats, and providing useful feedback, data, and tools to users of the system to assist with management of one or more fleets.

Abstract: An aspect includes receiving a request to assign a task to a user based on biometric data. Correlated data that correlates characteristics of tasks previously performed by the user with observed productivity and stress levels of the user while performing the tasks is accessed. An optimization model is applied to select a task that maximizes a predicted productivity of the user in performing the task while at the same time minimizes a predicted negative stress level of the user while performing the task. Input to the optimization model includes the correlated data and characteristics of a plurality of potential tasks. The selected task is assigned to the user. The correlated data for the user is updated based on the observed productivity of the user in performing the selected task, the observed stress level of the user while performing the selected tax, and at least one characteristic of the selected task.

Abstract: In one embodiment an event likely to be attended by a plurality of users of a taxi service is identified. A location of the event is determined and an end time of the event is estimated. Prior to the end time of the event, a plurality of drivers associated with the taxi service are directed to drive to the location of the event to transport passengers from the location of the event.

Abstract: A method and system for tracking an IT infrastructure is provided. The method includes modeling an IT infrastructure as a collection of hardware components, software components, and networking components. An observer agent is deployed on each of the components. The observer agent performs a measurement process with respect to each of the components and a mapping process is performed with respect to the measurement process. An aggregation module is deployed and an aggregation process is performed with respect to results of the mapping process. In response, a two dimensional moving graph indicating results of the aggregation process is generated and displayed.

Abstract: Provided herein are systems and methods relating to prediction in a context of first and second client devices related to a provider facility (a drive-through that sells comestible goods, e.g.) wherein the first client device is aboard a first vehicle and predictive data relating to the first client device is improved by retaining data relating to the second client device (having visited the provider facility on a prior same-type day, e.g.).

Abstract: A method of demand response (DR) event issue assessment is described. The method may include receiving parameters that may include one or more of contractual parameters, ambient condition data, historical data, and energy price data. The method may include predicting a customer demand and a customer energy curtailment based on one or more of the parameters. The method may further include calculating a customer participation likelihood based on one or more of the parameters. The method may include determining a price threshold based on one or more of the parameters, the customer energy curtailment, the customer demand, and the customer participation likelihood. The price threshold may represent an energy price at which issuing a DR event is more profitable than not issuing the DR event.

Abstract: An apparatus for collecting and managing data during an agricultural manual operation is provided. The agricultural manual operation includes harvesting, planting roots, cutting flowers, and pruning and thinning fruit trees or vegetables. The apparatus comprises: an intelligent tool configured to log an event including an agricultural manual operation when a picker succeeds in picking at least one harvested product by using the intelligent tool, or planting event when a worker succeeds in planting at least one product, or cutting flowers event when a worker succeeds in cutting at least one flower product, or pruning and thinning event when a worker succeeds in thinning fruit trees. The apparatus further comprises a means for collecting a set of data relevant to at least one manually picking event, or manually planting event, or manually cutting event, or manual pruning or thinning event.

Abstract: The present invention provides a method and system for assembling feedback of at least one product of at least one client. The method aggregates feedback of at least one product from at least one commentary site and categorizes the aggregated feedback into one or more categories. Further, the method processes the categorized feedback and stores the processed feedback and at least one commentary site in a headline database. In an embodiment, headlines are provided that link to positive feedback. Thereafter, the headline links are published as an advertisement on at least one online source.