Abstract: Various embodiments are provided for intelligent application of operational rules to operational data in a computing environment by a processor. One or more operational rules may be extracted and formalized from a knowledge graph, a domain knowledge, or a combination thereof describing one or more operational policies and conditions. The one or more operational rules may be applied to operational data to identify and filter non-compliant operational data.

Abstract: A method, computer system, and computer program product are provided for managing reports. A subset of data fields is identified for inclusion in a new report. An intent of the new report is determined based on the subset of data fields. The intent is determined using a set of machine learning models trained from a set of existing reports and a taxonomy of human capital management (HCM) information. Based on the intent determined by the artificial intelligence system, a set of additional fields is predicted for the new report. The set of the additional fields is displayed in a graphical user interface on a display system.

Abstract: A system and method for enrolling new carwash customer account profiles can or automatic access to carwash equipment. Baseline information is collected along with vehicle images for quick enrollment. The new customer can enter the carwash right away. As long as the account remains unclaimed the system periodically sends reminder messages. The unclaimed account can still wash, and the registration can be completed on the customer personal device while the vehicle is being washed or another convenient time. This provides a quick and easy way to register a new customer for a carwash subscription service or pay per wash product with automatic capture of much of the customer information—reducing the number of steps for the customer and team member operating the point-of-sale device. There is no need for manual entry of credit card information or vehicle information, enhancing enrollment efficiency for the customer.

Abstract: An apparatus and method for candidate tracking. The apparatus includes a processor that is configured to track a candidate through the recruiting process such that a recruiter may be compensated for their recruiting efforts. The apparatus includes receiving data sets from the recruiter and the employer, receiving a transfer request from either user, authenticating the users, determining if the data sets are the same, and processing the transfer request.

Abstract: Implementations generally relate to a method of matching job-seekers and employers in real-time with low required effort by the job-seekers and employers. A system-wide taxonomy is used in matching job-seekers and employers, thereby reducing the time for the recruiting process. Employers create a job position, and specify the relative importance of traits associated with the job position. Job-seekers answer profile questions (e.g. work experience), and the system uses the taxonomy to generate a list of job-seeker skills based on the answers to these questions. A list of job-seekers is then generated for the job position based on a mapping of the available job-seekers' skills and the employer rankings of the job position traits. A number of additional factors, like job seekers' in-app engagement, are used to further sort and filter the list of job-seekers.

Abstract: A method comprises generating a graphical user interface including a list of government representatives associated with a geographical indicator of a user, the list of government representatives allowing the user to select multiple government representatives for messaging simultaneously, and a plurality of links, each link of the plurality of links being associated with a corresponding government representative and configured to direct the user to a corresponding profile page of the corresponding government representative when selected. The method further comprises displaying the graphical user interface on a display of a user device associated with the user. The method further comprises receiving a selection of a link of the plurality of links from the user via the graphical user interface. The method further comprises displaying, based on the selection of the link, the corresponding profile page associated with the corresponding government representative.

Abstract: A method and system for determining collaboration between employees is disclosed. In some embodiments, the method includes receiving a plurality of collaboration parameters associated with a set of employees. The method further includes creating a plurality of employee nodes associated with the set of employees in a hierarchical tree, based on the plurality of collaboration parameters and a first pre-trained machine learning model. The method further includes generating a plurality of vector embeddings associated with the plurality of employee nodes, based on the first pre-trained machine learning model. The method further includes determining a degree of collaboration between at least two employees from the set of employees based on one or more vector embeddings from the generated plurality of embeddings.

Abstract: An electronic data review session is conducted between a host and a user needing to review specific accurate performance data that assists in mitigating the risks in hiring a musical act or artist for a performance in their venue. An established agreement between the host and client that supports the sharing the artist's performance data, bi-directionally, through an electronic communication interface using protocols of the World Wide Web is established between the host and the client and provides the client with access to web pages which are displayed on the client's computer using a standard web browser. In response to client applied filters, a subset of relevant, accurate performance data is displayed on web pages and served by the host to the client that may include data that was provided by the client or other clients.

Abstract: Apparatus and methods for classifying applications to posts using immutable sequential listings. Apparatus includes a processor configured to receive application data, browse postings, select a posting entry, and forward posting to a remote device. Apparatus utilizes a comparison method to compare postings to application data in order to forward application data to the posting.

Abstract: An embodiment of the present invention is directed to an intelligent customer service and query management and routing system. The innovative system comprises a communications server that receives a query from a client; a predictive analytics engine that applies predictive analytics to the query including parsing keywords and phrases; classifying the keywords and phrases; and applying a tag to the query; a management platform dashboard that provides an interface to a customer service representative to provide feedback to the predictive analytics engine and further applies automatic routing and categorization into a plurality of communication inboxes; and a periodic model build processing component that builds, monitors, optimizes and deploys one or more predictive models executed by the predictive analytics engine.

Abstract: Technologies are provided for managing scholarship programs.

Abstract: A building system for training a prediction model with augmented training data. The building system comprising one or more memory devices configured to store instructions thereon that, when executed by one or more processors, cause the one or more processors to obtain a first training data set comprising data values associated with a data point of the building system and with a plurality of time-steps and energy values associated with consumption of the building system at each of the plurality of time-steps; generate an augmented training data set comprising a second training data set, the second training data set comprising the energy values and the data values of the first training data set but with a data value replaced with a predetermined value at a time-step of the plurality of time-steps; and generate a prediction model by training the prediction model.

Abstract: A system and various methodologies provide the ability to analyze qualifications and capabilities of one or more candidates for employment.

Abstract: Systems and techniques are disclosed for mobile device network traffic modification and user identity based restrictions on data access. One of the methods includes a user device receiving a request to enter a restricted mode, the restricted mode enforcing compliance of rules associated with electronic personal health information (ePHI). A user interface presented on the user device is updated according to restricted mode. Functionality of the user device is constrained based on the restricted mode, with information generated during the restricted mode being encrypted on the user device.

Abstract: A method includes retrieving information regarding a candidate from a plurality of sources, and analyzing the information regarding the candidate using one or more machine learning techniques. A plurality of questions for the candidate are generated based on the analysis. The method further includes receiving and analyzing a plurality of natural language responses to the plurality of questions from the candidate, and computing a plurality of confidence scores for the plurality of natural language responses using the one or more machine learning techniques. The plurality of questions and the plurality of confidence scores are provided to a user via a user interface.

Abstract: Aspects of this disclosure relate to apparatus and method for applicant scoring. Apparatus includes at least a processor and a memory communicatively connected to the at least a processor. Processor is configured to receive a user-associated data set to be stored on a resource data storage system, parse the user-associated data set into a keyword record, generate a user metric, based on a plurality of weighted values, as a function of the keyword record, receive identification of a posting of a plurality of postings, and match the posting of the plurality of postings to a user as a function of the user metric.

Abstract: As described herein, a system, method, and computer program are provided for dynamically generating assistance information for customer service agents. In use, presence of a customer at a physical retail store is identified. Additionally, information describing the customer is processed, using a machine learning model, to determine an expected outcome of an interaction with the customer occurring within the physical retail store. It is then determined that the customer is to be assisted by a customer service agent. Further, assistance information for the customer service agent is dynamically generated, based at least in part on the expected outcome of the interaction with the customer.

Abstract: A system and method to aid in a recruitment process by providing a list of candidates that best match the job requirement. The system includes an explainable machine learning module that applies six layers of filters and profile matching to a set of job applications to shortlist a predefined number of applications. The shortlisted applications can be presented to recruited for logical assessment about the relevancy of each of the shortlisted applications. Based on the self-assessment, the set of applications can again be processed by the explainable machine learning module to shortlist a final list of candidates.

Abstract: A method for determining an answer to a question of a product includes: receiving a question for a target product; obtaining a knowledge graph constructed in advance for the target product, in which, the knowledge graph includes entities and a relationship among the entities, and the entities at least include one question for the target product and a corresponding answer; and determining an answer corresponding to the question based on the relationship among the entities included in the knowledge graph.

Abstract: Predicting psychometric attributes and relevant skills for a first job position includes generation of predictor models based on test data of tests users. The test data includes resumes of the test users, job descriptions of job positions of the test users, historical data of the test users, and answers provided by the test users to psychometric questions. The predictor models are then used to predict the psychometric attributes and the relevant skills based on target data, which is a first job description of the first job position.