Provided herein is a computer system for creating driving challenges for drivers. The computer system may include a processor in communication with a memory device, and the processor may be programmed to: (i) receive driving data associated with a driver, (ii) generate a first model that models the driving data associated with the driver, (iii) calculate a predicted driving score for the driver based at least in part upon the first model, (iv) generate a second model that predicts a confidence of the predicted driving score, (v) calculate a confidence value of the predicted driving score, wherein the confidence value is a squared error of the predicted driving score, and (vi) generate at least one driving challenge for the driver based at least in part upon the predicted driving score and the confidence value for that predicted driving score.

The present disclosure relates to systems and methods for matching electronic activities with record objects based on entity relationships. The method can include accessing a plurality of electronic activities, identifying an electronic activity, identifying a first participant associated with a first entity and a second participant associated with a second entity, determining whether a record object identifier is included in the electronic activity, identifying a first record object of the system of record that includes an instance of the record object identifier, and storing an association between the electronic activity and the first record object. The method can include determining a second record object corresponding to the second entity, identifying, using a matching policy, a third record object linked to the second record object and identifying a third entity, and storing, by the one or more processors, an association between the electronic activity and the third record object.

A method comprising using at least one hardware processor to: generate a que of users willing to respond to queries; receive a query and a required number of responses from an application; and assign from the que a plurality of users to respond to the query, wherein the number of the plurality of users is based on the required number of responses and wherein the users are assigned based on a score that is indicative of a quality determination of prior responses for each of the plurality of users, wherein the score is based at least on positive feedback including investing, wherein investing comprises: displaying a list of all responses of a particular user, receiving a selection of a response from the list, receiving a payment representative of the investment, initiating an investigation; and providing a results of the investigation.

A system (102) includes a digital information repository (106) configured to store information about performances of individuals, including performances of an individual of interest. The system further includes a computing apparatus (103). The computing apparatus includes a memory (110) configured to store instructions for a performance benchmarking engine trained to learn factors of the performances that impact key performance indicators independent of the individuals’ performance. The computing apparatus further includes a processor (108) configured execute the stored instructions for the performance benchmarking engine to determine a key performance indicator of interest for the individual of interest based at least in part on the information in the digital information repository about the performances of the individual of interest and the learned factors that impact the key performance indicator of interest.

A method and system for evaluating performance of operation resources using Artificial Intelligence (AI) is disclosed. In some embodiments, the method includes receiving, each of a plurality of performance parameters associated with a set of operation resources. The method further includes determining a set of features for each of the plurality of performance parameters. The method further includes creating one or more feature vectors corresponding to each of the plurality of performance parameters. The one or more feature vectors are created based on a first pre-trained machine learning model. The method further includes assessing the one or more feature vectors, based on the first pre-trained machine learning model and classifying the set of operation resources into one of a set of performance categories based on the assessing of the one or more feature vectors. The method further includes evaluating performance of at least one of the set of operation resources.

A new approach is proposed that supports protocol compliance by a person in various workplace applications and environments. The proposed approach determines if a person is following a set of protocols/procedures created and defined to ensure safety and efficiency of the workers/employees in his/her workplace environment. This proposed approach focuses on specifying one or more zones of interest, identifying presence of the person and/or an object associated with the person in the one or more zones of interest, classifying a sequence of activities and/or postures of the person, and determining the durations of the activities. A is notified if it is determined that the person is not in compliance with the set of protocols in the workplace environment. In addition, data collected from the one or more zones of interest is stored securely in a local site to protect confidentiality of production processes as well as privacy of the person.

A social networking system builds a quality controlled and desired population-representative pool of human raters to provide ratings on content items to improve a feed ranking model used for providing its users with more relevant content. The system identifies a pool of candidate human raters for providing ratings on a feed of content items. For each candidate human rater of the pool of candidate human raters, the system presents a feed of content items based on a feed ranking model, obtains ratings on the feed of content items, and determines a score representing the consistency of the obtained ratings, the representativeness of the pool of human raters, or the relevance of the content provided by the ranking model. The system uses the computed scores to modify the ranking model used to present content to its users for improving the relevance of the presented content.

An engineering support system that supports engineering of a process control system, the engineering support system includes: a server device that creates a work list including work order information that specifies a work order of work included in the process control system; and at least one client device that gives work authority to each worker based on the work list issued by the server device and that enables work on devices included in the process control system within a scope of given work authority to be implemented in the work order.

An information processing apparatus includes an accumulation unit that accumulates history information regarding a flight history of an aircraft. A specification unit, based on the history information accumulated by the accumulation unit, specifies a candidate to be an operation assistant who assists an operation planned by an assisted operator. An output unit outputs information regarding the candidate to be the operation assistant specified by the specification unit.

A method and system for managing, in real time and over time includes an electronic device with at least a processor, a memory and a display coupled to the processor and at least one network connection and an interactive management tool coupled to the electronic device. The interactive management tool includes features for managing captured leads such as Email Alerts, Exporting, Labels, Syncing, Value, and Mobility. Also provided is a method for utilizing the system to capture leads and to interactively manage the same. Further provided herein is a non-transitory machine-readable storage device comprising processor-executable instructions to perform the method.