Abstract: Techniques and embodiments are described herein for detecting and mitigating fraudulent activity within user experience (UX) test applications. In some embodiments, a system applies a set of rules and/or machine learning (ML) models to each respondent of an online survey or UX test. Different ML models may be trained to learn domain-specific patterns indicative of fraudulent activity. The system may then select the ML models based on attributes of the UX test and/or respondent. The selected rules and/or ML models may generate a probabilistic score representing a likelihood that the respondent is currently engaging in or will engage in fraudulent activity with respect to a UX test. If the score exceeds a threshold, then the system may take action to mitigate the fraudulent activity, such as triggering the removal of the user from an accepted respondent pool, halting further engagement between the respondent and the UX test, and generating alerts.

Abstract: A computerized-method for gauging agent's self-assessment effectiveness, is provided herein. The computerized-method includes for each interaction (i) operating a Self-assessment Consolidation module to calculate a confidence-interval for each data-point of one or more preconfigured data-points, and (ii) operating a Self-assessment Divergence Determinant (SDD) module. The operating of the SDD includes: retrieving one or more data-points of the interaction; for each data-point retrieving the confidence interval; setting a divergence-indicator as zero, when the data point is within the confidence-interval; setting the divergence-indicator as a subtraction of the data point from the calculated lower-bound, when the data-point is lower than the lower-bound of the confidence-interval; and setting the divergence-indicator as a subtraction of the calculated upper-bound from the data-point, when the data-point is greater than the upper-bound of the confidence-interval.

Abstract: A system includes one or more processors; and at least one non-transitory machine-readable storage media comprising instructions which, when executed by the one or more processors, cause the one or more processors to: generate a set of shift candidates based on labor demand data; determine a set of decision variables representing whether a particular shift candidate is selected in a final schedule and whether a particular worker is assigned to the particular shift candidate; determine a set of constraints based at least in part on the set of decision variables, the set of shift candidates, the labor demand data, and scheduling configuration data, wherein a constraint of the set of constraints is transformed into linear form in terms of the set of decision variables; and determine simultaneously, using a MIP solver, a subset of the shift candidates selected in the final schedule and a set of shift assignments of which worker is assigned to which selected shift candidate of the subset of the shift candidates.

Abstract: In one embodiment, a method includes receiving, by one or more processors of an information processing system, one or more results of a task. The method includes determining, by the one or more processors, an accuracy confidence score for each result of the task. The method includes determining, by the one or more processors, that the results satisfy an accuracy quality threshold set for the task based on the accuracy confidence score for each result of the task. The method includes providing, by the one or more processers, a determination for the task to a customer system in response to the determination that the results satisfy the accuracy quality threshold.

Abstract: A system and method for preparing structural analyses for solar installation projects, designing photovoltaic solar electrical systems and thermal solar systems processing solar installation plans, including the processing and interpretation of user input and jobsite information, supplementation of user input with data queried from relevant databases, processing and analyses of jobsite information according to requisite analyses, automated generation of forms and reports for review by a reviewing entity, delivery of signed and sealed documents for process by appropriate regulatory bodies, and addition of third-party verified eSignature and/or file encryption to sign and/or seal reports and plan documents.

Abstract: In a system of automatically analyzing infrastructure operation data, the system includes: an infrastructure operation determination unit configured to determine whether or not to execute an automatic analysis on infrastructure operation data; a data reception unit configured to receive operation data of a previous operation period and operation data of a succeeding operation period according to the automatic analysis execution; a statistics calculation unit configured to calculate statistics for the operation data of the previous operation period and the operation data of the succeeding operation period; and a significant difference analysis unit configured to analyze a significant difference between the operation data of the previous operation period and the operation data of the succeeding operation period based on the statistics.

Abstract: Methods, systems and apparatus to improve the efficiency of calculating a customer retention rate are disclosed herein.

Abstract: Techniques performed by a data processing system for matching a customer service ambassador (CSA) with a customer include receiving a service request for technical assistance from the customer, analyzing estimated working hours information for the customer and estimated working hours information for each of the plurality of CSAs to produce a compatibility score for each CSA, the compatibility score for a respective one of the CSAs providing an indication of how closely the working hours of the customer and of the respective one of the CSAs align, reordering an available CSA queue identifying the plurality of CSAs based on the compatibility scores of each of the CSAs, and selecting a CSA from the queue to provide technical assistance to the customer.

Abstract: A system for transfer path optimization is disclosed. The system comprises a computing device configured to receive a plurality of inputs from a user device at a current geographical location. The computing device is configured to generate a plurality of originators as function of the plurality of inputs, by identifying originators within a threshold distance relative to current geographical location of the user device. The computing device is configured to generate a fast transfer path. Computing device is configured to pair the fast transfer path with the first component and to assign a transfer agent to the fast transfer path. Computing device is configured to generate a second component path to transfer the second component. A method for transfer path optimization is also disclosed.

Abstract: Disclosed here are systems and methods that allow users to create and customize workflow tolerances. The designed tolerances define and set guidelines, such as parameters, limitations, and tolerances, for the expected values of a workflow's input and output actions. The disclosed systems and methods, upon identifying values that fall out of determined guidelines, may: notify users of such values, trigger processes that pause or stop the workflow, and require user approval before resuming the paused/stopped workflow. Embodiments may comprise machine learning components that identify incorrect/irregular values without prior user designation. Such systems and methods improve communication technology between the networks and servers of separate parties relevant and/or dependent on successful execution of other workflows and processes; allowing for effective understanding, implementation, and engagement of workflows and processes across organizational boundaries.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable storage media for managing project tasks using content items. A user can create tasks within a content item. The tasks can be assigned to users and/or be assigned due dates. The content item can be shared with other users such that updates to the content item (e.g., updates to the tasks) can cause sending notifications to users associated with the content item. When a task in the content item is updated, all members of the project can be notified of the updated status of the task. A task list for a project can be created that aggregates tasks from multiple content items associated with the project. Tasks can be organized in the task list according to the content item the task was created in. Updates to tasks in the task list can cause corresponding updates to the tasks in the content items.

Abstract: Disclosed herein are system, method, and computer program product embodiments for generating sellability and cancellability scores for selling objects on an electronic marketplace. An embodiment operates by receiving, from a mobile device, an image including an object for sale and determining information associated with the object for sale. Information associated with pre-identified objects is determined from information associated with pre-identified objects, where each of the pre-identified objects corresponds to the object for sale. A sellability score and/or a cancellability score is generated based at least in part on the information associated with the object for sale and the information associated with the pre-identified objects. The sellability score and the cancellability score are further provided to users.

Abstract: Systems and methods for forward market price prediction and sale of energy storage capacity are disclosed. An example transaction-enabling system may include a fleet of machines having an aggregate energy storage capacity; and a controller, comprising: an external data circuit structured to monitor an external data source and collect data from the external data source; an expert system circuit structured to predict a forward market price for energy storage capacity based on the collected data and the aggregate energy storage capacity; and a smart contract circuit structured to automatically sell at least a subset of the aggregate energy storage capacity on a forward market for energy storage capacity in response to the predicted forward market price.

Abstract: A method includes generating a plurality of training vectors relating to different respective historical service requests generated by respective autonomous vehicles, each of the training vectors including respective features associated with the historical request to which the training vector relates. The method further includes, using the training vectors, training a model configured to generate a prediction relating to one or more future service requests, generating the prediction using the model, and outputting the generated prediction. Other embodiments are also described.

Abstract: A computer system and process for defining and operating a data structure that defines task forms and workflows associated with those forms is described that may be used for project management.

Abstract: A computerized system and related computer operations manage internal audit and internal controls, especially for corporations and other business entities with regulatory reporting requirements, such as the Sarbanes-Oxley (“SOX”) Act. Computer operations and associated user access to such operations are facilitated by integration of the multiple environments typically associated with internal audit and internal control management, such as the development environment, the run-time environment, and the management environment.

Abstract: An approach for an automated task management system to accomplish set goals by completing a predefined set of tasks for that goal is disclosed. The approach includes creating a goal object by one or more users and creating one or more task objects associated with the goal object by the one or more users. The approach includes executing a first task of the one or more task objects and determining if there is one or more deviations associated with executing the first task. Users can directly define deviations which are stored into the tasks directly as a deviation path without needing admin approval. Based on determining there is the one or more deviations, the approach can optionally ask for an approval from an administrator. Deviation tasks objects are stored into the goal object for future users to view and use.

Abstract: Techniques are described for providing clients with access to events occurring during execution of defined workflows, such as under the control of a event monitoring service that is available to multiple subscribers, such as over one or more public networks. A configurable workflow service may automatically create events when a defined workflow executes, and, provide the events to the event monitoring service, which may respond to the generated events by taking various actions, such as providing event notifications, initiating workflow instances, etc.

Abstract: Transaction-enabling systems and methods are disclosed. A system may include a controller to interpret a resource utilization requirement for a task system and a plurality of external data sources. The system may further include an expert system to predict a forward market price for a resource in response to the resource utilization requirement and the plurality of external data sources. Then, in response to the predicted forward market price, the controller may execute a transaction on a resource market.

Abstract: The different advantageous embodiments further provide a system for hierarchical mission management comprising a number of mission planners, a data processing system, and a communication system. The number of mission planners are associated with a number of agent groups. The data processing system is configured to execute the number of mission planners. The communication system is configured to provide communication between the number of mission planners.