Systems and processes for user configurable task triggers are provided. In one example, at least one user input, including a selection of at least one condition of a plurality of conditions and a selection of at least one task of a plurality of tasks, is received. Stored context data corresponding to an electronic device is received. A determination is whether the stored context data indicates an occurrence of the at least one selected condition. In response to determining that the stored context data indicates an occurrence of the at least one selected condition, the at least one selected task associated with the at least one selected condition is performed.

An intelligent management method for an organizational structure method includes: acquiring part-time request information of a first target person (including a part-time role to be taken by the first target person and a first target department to which the part-time role belongs); acquiring an organizational structure of a target company to which the first target person belongs (including N departments having a tree-like hierarchy); when a first department in the N departments is identical to the first target department, assigning the part-time role to the first department, and updating the organizational structure; or when no department identical to the first target department exists in the N departments, determining a superior department of the first target department; and adding, based on the superior department, the first target department as a part-time department to the organizational structure, and updating the organizational structure; and outputting an updated organizational structure.

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.

After determining a trip order has a high risk, verification information unavailable in a passenger information database system can be requested and provided for a passenger of the account. Validity of the verification information can be determined using a verification service and stored in a passenger information database. A decision for the trip order can be determined based on the validity of the verification information stored in the passenger information database.

An information technology system for a distributed manufacturing network includes an additive manufacturing platform configured to manage workflows for a set of distributed manufacturing network entities associated with the distributed manufacturing network. The information technology system includes a set of digital twins generated by the additive manufacturing platform. The information technology system includes an artificial intelligence system configured to be executed by a data processing system in communication with the additive manufacturing platform. The artificial intelligence system is trained to generate process parameters for the workflows managed by the additive manufacturing platform using data collected from the set of distributed manufacturing network entities. The information technology system includes a control system configured to adjust the process parameters during an additive manufacturing process performed by at least one of the set of distributed manufacturing network entities.

A method, apparatus and system is provided for assessing risk for well completion, comprising: obtaining, using an input interface, a Below Rotary Table hours and a plurality of well-field parameters for one or more planned runs, determining, using at least one processor, one or more non-productive time values that correspond to the one or more planned runs based upon the well-field parameters, developing, using at least one processor, a non-productive time distribution and a Below Rotary Table distribution via one or more Monte Carlo trials; and outputting, using a graphic display, a risk transfer model results based on a total BRT hours from the Below Rotary Table and the non-productive time distribution produced from the one or more Monte Carlo trials.

Systems and methods of adaptive workflow definition of crowd sourced tasks and quality control mechanisms for multiple business applications are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, for generating and distributing tasks to workers to optimize product categorization in an online marketplace, generating and distributing tasks to workers for search engine optimization of a website, and/or generating and distributing tasks to workers for business data verification and enhancement. Results can be aggregated from multiple workers to enhance or improve site information, site organization, or other business information to improve site placement in search results and/or to enhance/improve user experience.

A system is provided for implementing, managing or running a communication or workflow management system having multiple role agents representing roles, person agents representing users and device agents representing devices. The system combines a plurality of the role agents and their associated person agents and device agents into at least one mission, links the role agents to the person agents with a policy chain, and links the person agents to the device agents with a policy chain within a mission. Selected communications may be linked to at least one of the missions with a policy chain, such as a policy chain that links selected communications to at least one of the role agents in a mission.

A computer-implemented method includes detecting, at a processor and by a plurality of associates, a mission to be performed by the plurality of associates; identifying the mission based on associated store information comprising an inventory status, sales data, and a set of predetermined rules; generating, by the processor, a queue of tasks to complete the mission based on priorities and dependencies of the tasks; determining a task for each associate whose profile defines best abilities matching a predetermined task dataset and the associated store information; assigning the queue of tasks to the plurality of the associates to complete the tasks; receiving, from each of the associates, a notification of a completion of an assigned task; verifying, by the processor, the completion of the assigned task; and determining, by the processor, completion of the mission when each task for the mission is verified to be completed.

An information-technology-utilization evaluation device evaluates the degree of utilization of information technology in process management targeted at a managed process that is a set of unit processes. The information-technology-utilization evaluation device includes a first determination unit to evaluate an achievement status of automation of the process management through utilization of the information technology to determine a maturity level of the automation in the managed process and a maturity level of the automation in the unit processes.