The present invention relates to a methodology that enables mapping and ranking of expertise based on crowdsourced data using Big Data algorithms and Bayesian probability. The methodology involves a group of nodes corresponding to the showcased expertise of an entity, with the level of expertise being determined by an unique dynamic numerical value for each node termed, “Expertise Quotient”, which is based on the ratings on various attributes crowdsourced from peers with similar expertise as well as reference ratings from professionals in the same domain and the top experts in any domain may be identified based on the Expertise Quotient.

Task assignments are identified. A dataset that includes one or more electronic messages is received. Then, one or more pending tasks in the dataset are identified, and each of a plurality of people who are mentioned in the dataset is also identified. Then, for each of the pending tasks, one or more of the identified people are identified as potentially being people who are assigned to complete the pending task, and the pending task is associated with these identified one or more of the identified people. For each of the pending tasks, one or more of the identified people are also identified as potentially being people for whom the pending task is to be completed, and the pending task is also associated with these identified one or more of the identified people.

According to an embodiment, an information processing apparatus includes a communication interface, a shop database, a maintenance worker database, and a controller. The controller determines a degree of influence of a failure on a shop on the basis of failure information received by the communication interface and shop information stored in the shop database. The controller compares the determined degree of influence with a degree of influence in other shop and determines the priority of a response to the failure in the shop. The controller selects an appropriate maintenance worker from maintenance workers stored in the maintenance worker database on the basis of the determined priority.

The Search Extraction Matching, Draw Attention-Fit Modality, Application Morphing, and Informed Apply Apparatuses, Methods and Systems (“SEMATFM-AMIA”) transforms inputs including new job listing introduction inputs, via SEMATFM-AMIA components (e.g., the conductor component, the resume view controller component, the XY paths handler component, the title handler component, the resume librarian component, and the job listing librarian component), into outputs including relevant resume outputs and/or augmented new job listing record outputs. It is noted that the terms “component” and “object” may be used interchangeably hereinthroughout. In one embodiment, the SEMATFM-AMIA includes an apparatus, comprising: a memory, a component collection in the memory, and a processor disposed in communication with the memory, and configured to issue a plurality of processing instructions from the component collection stored in the memory. SEMATFM-AMIA may then receive, in connection with an application to a job, a resume adjustment request, where the request includes one or more raw terms of a resume, one or more normalized terms of the resume, one or more raw terms of a job listing corresponding to the job, and one or more normalized terms of the job listing. SEMATFM-AMIA may load said resume normalized terms and said job listing normalized terms into a joined normalized terms set, and add to a common normalized terms set normalized term members of the joined normalized terms set which meet a count criterion. SEMATFM-AMIA may visit each of one or more normalized term members of the common normalized terms set. After further receiving, adding, visiting, providing and otherwise processing data, SEMATFM-AMIA may receive, from the resume adjuster component, a request to formulate the adjusted resume record, wherein said record formulation request includes specification of the resume and substitution information, and formulate the adjusted resume record which substitutes each of user-selected resume raw terms with a corresponding user-selected job listing raw term, wherein the formulation includes accessing one or more stores.

In some embodiments, a method can include receiving a set of job descriptions and a set of candidate profiles. Each job description is associated with a first subset of candidate profiles from the set of candidate profiles. The method can further include executing a model to identify, from the first subset of candidate profiles, a second subset of candidate profiles that satisfy a fit metric and a third subset of candidate profiles that does not satisfy the fit metric. The method can further include calculating a bias metric based on a true positive value, a false positive value, a true negative value, and a false negative value that were calculated based on auditing the second subset of candidate profiles and the third subset of candidate profiles. The method can further include updating the set of job descriptions based on the bias metric.

Provided is a process including: receiving a tank-nearly-full message indicating that a tank at an oil or gas related facility is or will be ready for a truck to unload and transport fluid accumulating in the tank; in response to the tank-nearly-full message, creating a tank-run record; sending a description of the tank-run to a mobile device of a driver of an oilfield truck; receiving, from the mobile device of the driver of the oilfield truck, a tank-run claimed message indicating that the driver will drive to the oil or gas related facility and transport at least some of the fluid accumulating in the tank; and after the tank-run claimed message, performing steps including: confirming that the tank-run has not yet been claimed; after the confirmation, designating the tank-run as claimed by the driver; and sending confirmation to the mobile device of the driver.

A system for controlling access to equipment. The system establishes that a user of a mobile device has authorization to access an equipment and generates an encrypted digital key. The system sends the encrypted digital key to the mobile device. The system also sends an encrypted corresponding digital key to a controlling unit of the equipment. When a distance between the mobile device and the controlling unit is within a threshold, and the encrypted digital key transmitted by the mobile device is authenticated by the encrypted corresponding key on the controlling unit, the controlling unit unlocks the equipment so that the user of the mobile device takes control of the equipment in accordance with terms and conditions as set forth in a contract for operating the equipment between the user and an owner of the system.

Embodiments of the present invention provide systems and methods for determining an engagement level for a customer-agent interaction (e.g., a phone call, text chat, etc.), and the engagement level can be used to evaluate the performance of the agent. For example, the engagement level can be used to determine or adjust a skill level of the agent, a performance of the communication channel that facilitates the interaction, and/or an optimal workload of the agent. According to some embodiments, the engagement level is used to determine that the agent may be experiencing difficulty satisfying a customer inquiry such that the agent should be assigned resources or assistance.

A computer-implemented position-centric personnel modeling apparatus, system, and method may be provided. A nodal hierarchy may be created to correlate with the personnel structure of a business enterprise, wherein each node may be a cyberspace representation of an individual within the personnel structure of the business enterprise. Attributes correlating to individual personnel in the business enterprise may be mapped to a respective node. Objectives may subsequently be tasked within the model and the nodal hierarchy may be rearranged based on the results. Results from the model may optionally be reflected by a business enterprise.

The method, system and a computer program and a computer product for managing workers and documents is provided. The method includes storing industry representations and a list of workers with data related to the workers, linking the industry representations to the workers and selecting at least one worker from based on the industry representations for that worker. The method also includes scheduling workers to a job based on whether they have all of the required industry representations. In addition, the method includes uploading industry representations and bar code scanning industry representations into the database. The method further includes dispatching said industry representations to other users and automatically mapping fields of the dispatched data in the destination database. In addition, the method includes selectively encrypting only sensitive fields in data transmission between two entities.