An example computing system is configured to: (i) apply a first access permission setting that defines whether a party can access a data object associated with a multi-phase construction project during a first phase of the multi-phase construction project; (ii) determine that the multi-phase construction project has transitioned from the first phase to a second phase; and (iii) based at least on the determination that the multi-phase construction project has transitioned from the first phase to the second phase, apply a second access permission setting that defines whether the party can access the data object associated with the multi-phase construction project during the second phase of the multi-phase construction project, where the second access permission setting differs from the first access permission setting.

In some examples, a server may determine that a case, created to address an issue of a computing device, is closed and perform an analysis of steps in a process used to close the case. The analysis may determine a length of time of each step and determine that a time to close the case or complete a particular step was at least a predetermined amount faster than average. The server may use machine learning to create a survey question to determine a technique used to close the case or complete the particular step faster than average and to determine one or more incentives to provide a technician that closed the case. An answer from the technician to the survey question may include the technique used to close the case or complete the particular step faster than average. The technique may be shared with other technicians.

In some examples, a server may determine that a case, created to address an issue of a computing device, is closed and perform an analysis of steps in a process used to close the case. The analysis may determine a length of time of each step and determine that a time to close the case or complete a particular step was at least a predetermined amount faster than average. The server may use machine learning to create a survey question to determine a technique used to close the case or complete the particular step faster than average and to determine one or more incentives to provide a technician that closed the case. An answer from the technician to the survey question may include the technique used to close the case or complete the particular step faster than average. The technique may be shared with other technicians.

A claim handler inventory prioritization system can assign priority to insurance claims. The system can employ multiple machine learning models to assign priority to insurance claims. Through training, machine learning models of the system can identify trends and/or patterns in claim information as a whole or individual claim elements such as service level obligation and claim lifecycle. Through application of machine learning models, the system can predict and/or determine different priorities and provide multiple graphical user interface views to a claim handler.

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.

An engineering assistant system 1 includes: an engineering server 10 that issues a work list including information related to work necessary for performing the engineering of a process control system 100; and an at least one engineering client 20 that grants work authority for each worker based on the work list issued by the engineering server 10 and makes it possible to perform work on a constituent apparatus that constitutes the process control system 100 within a range of granted work authority.

A system for process shaping in a retail store environment comprises a video generation and processing component, a data source integration and aggregation component for aggregating and integrate information received from various sources, a process sensing component for generating one or more continuous processes, a process aggregator and weighing component for aggregating the one or more continuous processes into a merged weighted process, a proof of problem and value component for determining one or more process variations, a ripple effect analyser for sending one or more nudging messages to the retail store environment, and a gamified feedback algorithm component for communicating a nudging action corresponding to a nudging message, to one or more entities in the retail store environment.

This application relates to systems, methods, devices, and other techniques for a novel database schema change, recording and version control.

This application relates to systems, methods, devices, and other techniques for a novel database schema change, recording and version control.

A computing platform is configured to: (i) receive, from a first client station, a data file; (ii) obtain metadata associated with the data file; (iii) determine, based on the obtained metadata, at least one recommended workflow for assignment to the data file, wherein the workflow defines a set of one or more actions that are to be taken in connection with the data file; and (iv) transmit, to a second client station, a communication identifying the at least one recommended workflow and thereby cause an indication of the at least one recommended workflow for the data file to be presented at a user interface of the second client station.