Abstract: A plant assistance assessment system 100 that assesses a plurality of nuclear power generation plants 110 includes an abnormality sign monitoring system 121 that monitors an abnormality sign in a plant, based on plant data of the nuclear power generation plants; a fault diagnosis system 122 that performs fault diagnosis on each of devices in the plants, based on abnormality sign detection information; a progress prediction system 123 that simulates progress of the plants, based on fault information; an abnormal phenomenon specification system 124 that specifies a potential abnormal phenomenon in the plants, based on progress prediction information; a risk assessment system 125 that assesses a risk of a fault in the devices in the plants in a probabilistic manner; and an abnormal phenomenon assessment system 126 that assesses likelihood of occurrence of an abnormal phenomenon, based on abnormal phenomenon information and fault probability information.

Abstract: An identification and assessment system that flags business entities that are current or future Third Party Intermediaries and provides compliance risk ratings In at least one embodiment, the system is configured for TPI identification to enable companies to optimize compliance efforts, for example, effective anti-bribery and anti-corruption compliance. The system is configured to identify TPI likelihood and General Compliance Risk Rating to enable businesses to setup anti-bribery and anti-corruption (ABAC) strategies to focus on those high-risk TPIs, perform due diligence, and mitigate compliance risk.

Abstract: A device may communicate with a client device to provide, via a user interface of the client device, a set of prompts regarding an entity. The device may detect one or more user interactions with the user interface associated with indicating a set of responses to the set of prompts. The device may process data identifying the set of responses to the set of prompts to generate a set of scores for a set of recommendations based on processing the data identifying the set of responses to the set of prompts. The device may determine a ranking of the set of recommendations based on the set of scores. The device may select one or the set of recommendations based on the ranking. The device may communicate with the client device to provide information associated with the set of recommendations based on selecting the set of recommendations.

Abstract: A method, system and computer program product for automatically distributing tasks within a group includes identifying, by one or more processors, first data associated with each member of a group. The one or more processors identify second data associated with demands for the group, calculate a total work time for each member of the group using the first data, identify conflicts between the total work time for each member of the group and the second data, and based on the identified conflict, distribute tasks among members of the group.

Abstract: Example methods and apparatus disclosed herein include campaign mapping for total audience measurement.

Abstract: Methods and systems for opportunistic multi-party reminders based on sensory data are provided. A system for providing opportunistic multi-party reminders based on sensory data may include a coordination module that coordinates user schedules for a plurality of parties. Also, the system may include a time prediction module that characterizes one or more times in a user schedule in response to gathered context information for one or more parties in the plurality of parties. Further, the system may include a task completion module that identifies at least one time in the one or more times in a user schedule for completing a task in response to the characterization of the one or more times.

Abstract: A system and a process using that system is provided for creating, analyzing and optimizing a customer journey. The process includes real-time creation and continuing analysis of an “Event Sequence Index,” (ESI) corresponding to a time-stamped labeled set of data points representing cumulative events along the customer journey. The data points are further associated with channels, which are modes of interaction between the customer and the organization, and mapped into a linked directed graph which is amenable to analysis through a recursive pattern matching method, such as a non-deterministic finite automaton, employing DQL (Distributed Query Language). Selected portions of these graphs can be identified, either statistically or causally, as signatures of highly satisfactory or unsatisfactory outcomes and may be stored in memory as real-time predictors of the course of a present customer experience and to suggest statistically feasible and effective interventions.

Abstract: A system and method of managing tasks and organizations is provided herein.

Abstract: Systems and methods are provided for an optimized electronic match engine of an exchange is disclosed that distributes a minimum data set to an external market data generation (MDG) processor. The optimized electronic match engine derives a minimum data set from data already known to the optimized electronic match engine. The MDG processor may extract the minimum data set and uses it to generate market data outside of the optimized electronic match engine. In some examples, an order entry (OE) message transmitted from the optimized electronic match engine may be appended with the minimum data set in a simple binary encoding (SBE) format.

Abstract: Described are systems and methods for tracking performance by monitoring and evaluating performance metrics on a repetitive basis to assign performance scores and incentivizing high performance by assigning awards to high performers. Multiple users may compete with one another for performance rankings and wager all or portions of award amount on their performance for future performance cycles to potentially increase future awards.

Abstract: Systems and methods to deliver dynamic context sensitive offers to intent user behavior are discussed. For example, a method to deliver a dynamic context sensitive oar can include operations for generating a dynamic offer, delivering the dynamic offer, receiving data associated with a user, updating a context input with data associated with the user, and adjusting the value of the dynamic offer. Generating the dynamic offer includes associating a rule for manipulating the value of the dynamic offer based on a context input. Updating the context input of the rule includes extracting context information from the data associated with the user. Adjusting the value of the dynamic offer can be based on reevaluation of the rule with the updated context input.

Abstract: A building management system includes building equipment configured to consume electrical energy and generate thermal energy, thermal energy storage configured to store at least a portion of the thermal energy generated by the building equipment and to discharge the stored thermal energy, electrical energy storage configured to store electrical energy purchased from a utility and to discharge the stored electrical energy, and a controller. The controller is configured to determine, for each time step within a time horizon, an optimal amount of electrical energy stored or discharged by the electrical energy storage by optimizing a value function.

Abstract: Systems and methods are provided for obtaining vehicle operating conditions at or near a section of roadway in order to determine whether existing/current roadway infrastructure at or near that section of roadway is causing a loss in operating efficiency. Vehicle operating conditions may be communicated by vehicles to roadside units via a vehicle-to-infrastructure communications system. Upon a determination that the existing/current roadway infrastructure is causing the loss in operating efficiency, one or more recommendations for improvements to the existing/current roadway infrastructure may be suggested to a municipality controlling the section of roadway. Estimates regarding the effectiveness of the improvements as well as actual measurements regarding implemented improvements may be determined in order to justify proceeding with implementing the improvements and/or generate additional improvement recommendations.

Abstract: Productivity of at least one user in an environment is measured along one or more or more dimensions. Measuring the productivity of the at least one user comprises tracking one or more data items associated with an electronic document. One or more conditions that influence the measured productivity of the at least one user are identified. One or more suggestions for improving the productivity of the at least one user are generated based on the one or more identified conditions.

Abstract: A computer system, method, and computer-readable product for providing data for career advice, such as job or education recommendations, from automated review and analysis of career-related data for an individual, which is at least initially obtained from documents, such as resumes and writing samples. For a designated individual, career-related data is obtained from the documents and an initial personality estimate is created for the designated individual based upon, at least, the obtained career-related data. One or more latent factor models for known career-personality matches are then gathered from a database and a questionnaire is provided to the individual to gather further information and augment the personality estimate. The created personality estimate is integrated with the latent factor model(s) to create career advice data.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: automatically selecting an optimal marketing collateral for a location in a venue based on a group of a patron and a relationship of the group and notifying the patron with the optimal marketing collateral such that the patron may utilize the optimal marketing collateral.

Abstract: An energy saving support system according to an embodiment is configured to provide a consumer, who has an electric load to which electric energy is supplied from an electric power supply system within a house, with energy consumption-related information through a photo frame or the like. The information providing apparatus is configured to acquire an acceptability level, which stepwise indicates a degree of interest of the consumer in the energy consumption-related information, and to determine the energy consumption-related information to be newly provided to the consumer based on the acceptability level.

Abstract: Embodiments of the invention provide systems and methods for managing workflows in a contact center. More specifically, embodiments of the present invention are directed to dynamically influencing workflows based on learned insights into those workflows. With end-to-end Customer Relationship Management (CRM) suites, which manage the entire customer service journey from consumer website to knowledge base to escalation to a live agent via a communication channel to incident creation and incident resolution, it is possible to provide an out-of-the-box, simple-to-use solution to the above problems that offers unique advantages over the expensive, custom, bolt-on solutions.

Abstract: An exploration-based career guidance system is disclosed. The career guidance system receives an assessment regarding a candidate and identifies a first set of roles for the candidate based on the assessment. The system receives a selection of a role from among the first set of roles and provides a simulated experience of the selected role and receives a set of interaction data from the simulated experience. The system adjusts the assessment regarding the candidate based on the set of interaction data and identifies a second, different set of roles for the candidate based on the adjusted assessment.

Abstract: Systems and methods for increasing productivity in a production activity are provided. A machine for accomplishing the production activity generates units of output, which are monitored by a data acquiring device. An expected earnings rate is generated by a processor based on expected production parameters and earnings data. An evaluated earnings rate is generated by the processor based upon the actual output and the earnings data. The evaluated earnings rate and expected earnings rate is displayed on a display.