Abstract: Systems and techniques are described for tracking guard tours. In some implementations, the techniques include the actions of receiving data indicating an initiation of a guard tour at the property and by a user, where the guard tour defines a path that includes one or more checkpoints with which the user is instructed to interact. The actions further include analyzing the sensor data. The actions further include determining a location of the user conducting the guard tour at the property. The actions further include based on the location of the user and the path of the guard tour, determining that the user is not following the path of the guard tour. The actions further include based on determining that the user is not following the path of the guard tour, providing, for output, data indicating that the user is not following the path of the guard tour.

Abstract: A subtask assignment system for assisting groups of workers to complete a task more efficiently. The task may comprise a physical assembly task of an object. The physical assembly task comprises a plurality of subtasks that must each be completed to complete the physical assembly task. The subtask assignment system may include an assignment server connected to a plurality of user devices via a network, each user device being operated by a particular worker. The assignment server may execute an assignment engine that receives inputs describing the overall task and group of workers, generates a task model representing the task based on the inputs, populates a parameters table based on the inputs, and automatically determines subtask assignments for the group of workers based on the task model and the parameters table. The assignment server determines an optimal subtask to assign to each worker based on the parameters.

Abstract: An apparatus and method for fracking optimization, wherein the apparatus includes at least a processor, and a memory, wherein the memory containing instructions configuring the at least a processor to receive a reservoir datum from at least a sensing device, generate a production training data include a plurality of reservoir datums as input correlated to a plurality of optimal production parameters as output, train a fracking optimization machine-learning model using the production training data, determine an optimal production parameter as a function of the fracking optimization machine-learning model, and generating an optimal production plan as a function of the optimal production parameter.

Abstract: A method comprising generating, during multiple user sessions of a first user with a software application, first clickstream data from the multiple user sessions, and extracting, from the first clickstream data, a first plurality of task instances of the first user performing a first plurality of tasks. The method also includes decomposing, from the first clickstream data, each task instance of the first plurality of task instances into a first plurality of steps to obtain a first plurality of decomposed task instances. The first plurality of steps in the first plurality of decomposed task instances are each associated with a timestamp. The method further includes training a first user model with the first plurality of decomposed task instances to learn a user optimal order to perform the first plurality of tasks and presenting, to the first user, the user optimal order to perform the first plurality of tasks.

Abstract: A computer-implemented method, a computer program product, and a computer system for misinformative content mitigation. A computer receives from a social network system a request for curated content, where the curated content is related to misinformative content that has been identified by the social network system. The computer sends to a system of a paid curated content producer a request for making the curated content public. In response to that the system of the paid curated content producer accepts the request for making the curated content public, the computer provides to the social network system a link to the curated content on the system of the paid curated content producer. On the social network system, the misinformative content is flagged and the link to the curated content is presented aside the misinformative content.

Abstract: Systems and methods for recommending merchant actions include a physical merchant location having a plurality of beacon devices. A system provider device receives a plurality of first location information from the plurality of beacon devices that is collected from a customer beacon communication device that is associated with a customer. The system provider device also receives a plurality of second location information over the network from the plurality of beacon devices that is collected from a merchant beacon communication device that is associated with an asset of the merchant. The system provider device analyzes the plurality of first location information and the plurality of second location information to determine at least one merchant action recommendation related to the customer and the asset of the merchant and provides the at least one merchant action recommendation over the network for display on a display device.

Abstract: The present disclosure is directed towards systems and methods for workflow and practice management that are particularly useful to professional service industries. The inventive systems and methods provide tools for planning a matter or project, executing a matter or project and analyzing the success or failure of a matter or project. Templates are developed to provide organizational and task execution assistance while at the same time providing detailed information for performance analytics tools.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating and providing team-specific collections of collaborative content items. For example, the disclosed systems can determine relationships between teams of user accounts and various collaborative content items. Based on the determined relationships, the disclosed systems can identify which collaborative content items are germane to which teams and can provide the collaborative content items to user accounts accordingly. As part of determining relationships between collaborative content items and user accounts (or teams of user accounts), the disclosed systems can determine various information pertaining to the collaborative content items, including access patterns, sharing patterns, activity information, and geographic information.

Abstract: A work instruction system includes: a production progress management device including a communication unit configured to communicate with a work instruction device, a product signal storage unit that stores a product signal including position information of a product, a product in-progress process estimation unit configured to estimate an in-progress process of the product using the position information, and a production progress estimation and update unit configured to estimate production progress of the product in accordance with a change in the position information and update production progress information; and the work instruction device including a communication unit configured to communicate with the production progress management device, a production progress storage unit that stores the production progress information, a data collection unit configured to obtain progress management information updated from the production progress management device, a recommended work generation unit configured to gen

Abstract: Embodiments are provided for ticket-agent matching and agent skillset development. In some embodiments, a system includes a processor that executes computer-executable components stored in memory. The computer-executable components can include a matching component that determines, using a ticket profile and a space of agent profiles, a ticket-agent pair including a ticket identifier of a service request and an agent identifier of a particular agent within a pool of agents. The computer-executable components also can include a rematching component that assigns a second agent identifier to the service request to develop a skillset of a second particular agent within the pool of agents, the second agent identifier being associated with an unsatisfactory skill score for a defined skill to resolve the service request.

Abstract: Systems and methods for recommending merchant actions include a physical merchant location having a plurality of beacon devices. A system provider device receives a plurality of first location information from the plurality of beacon devices that is collected from a customer beacon communication device that is associated with a customer. The system provider device also receives a plurality of second location information over the network from the plurality of beacon devices that is collected from a merchant beacon communication device that is associated with an asset of the merchant. The system provider device analyzes the plurality of first location information and the plurality of second location information to determine at least one merchant action recommendation related to the customer and the asset of the merchant and provides the at least one merchant action recommendation over the network for display on a display device.

Abstract: Tools and techniques are provided for assessing spill risk in a liquid container storage area of a facility. In one embodiment, a process includes identifying a largest capacity liquid storage container stored in the area; applying a computer-implemented algorithm for calculating a spill reach value for the largest capacity container, and calculating various kinds of risk facet values associated with the area; and generating a risk assessment summary associated with the calculated values. An improvement path can be determined in response to the calculated values, and the liquid storage area may be physically modified to reduce spill risks in the area.

Abstract: The present invention provides self-driven AI based system and method for operating one or more applications including enterprise application and supply chain management applications. The system includes centralized data lake for storing data received from plurality of distinct sources, a control tower configured for sensing change in attribute of the received data and determining impact of the change on plurality of functions of EA and SCM applications.

Abstract: A system and method for automatic remediation of non-compliance events are provided. In embodiments, a computer-implemented method includes: accessing a compliance profile and a remediation profile, wherein the compliance profile includes compliance data regarding rules for an enterprise and the remediation profile includes remediation data regarding remediation actions to address non-compliance with one or more of the rules; generating mapped data by mapping compliance data in the compliance profile to remediation data in the remediation profile; receiving non-compliance event data from a workload node in a network; extracting information from the non-compliance event data including the workload node associated with the event and a cause of event; determining a remediation action for the event based on the information and the mapped data; and invoking automatic performance of the remediation action at the workload node based on the determined remediation action.

Abstract: A survey submission system and method for a personalised career counselling is provided to multiple users. The system includes one or more display devices with a display unit, a display region variation determining unit, a preloading controller, and a preloading performing unit displaying multiple program parameters in proximity to a short text field. Particularly, one or more display devices includes multiple display device modules and display device modules is selected from any one of an user interface module, an admin interface module, a sponsor interface module admin interface module and an expert interface module. Moreover, the system also has a remote server for storing a multiple of databases for storing multiple data related to program parameters. Particularly, one or more display device and the remote server communicate via a communication channel enabling users to communicate with other users and experts in a highly secured chat room.

Abstract: A method and apparatus for controlling a supply chain including a production system. Sensor data is received from a sensor in the production system or elsewhere in the supply chain. The sensor data identifies an event in the production system or elsewhere in the supply chain. Event information for the event is stored in an events blockchain. The event information from the events blockchain is used in a process model simulation of the production system or the supply chain to identify an undesirable condition in the production system or elsewhere in the supply chain. System theoretic process analysis is used to identify a change in the production system or elsewhere in the supply chain to prevent occurrence of the undesirable condition.

Abstract: Weather data, asset variable values, and failure data may be received. A correlation factor may be generated by comparing the weather data and the asset variable values. One or more weather variables may be selected based on the correlation factor. A predicted asset variable value may be determined based on the weather data and the selected weather variables. The weather data and the predicted asset variable values may be compared to predict a failure probability for a first asset segment.

Abstract: Apparatuses, methods, and computer program products are provided for improved model compliance. An example method includes receiving a product model that is generated from user data associated with a plurality of users and receiving a first regulation offending model that is non-compliant with respect to a first regulatory factor. The method also includes analyzing the product model with the first regulation offending model and generating a first regulation compliance score for the product model with respect to the first regulatory factor. The method further includes determining whether the first regulation compliance score satisfies a first regulatory factor threshold. In an instance in which the first regulation compliance score fails to satisfy the first regulatory factor threshold, the method includes generating a first violation notification or modify the product model.

Abstract: Described in detail herein is a forecasting system. In one embodiment, the system can generate forecast data for amount of labor and physical objects needed at various facilities.

Abstract: Weather data, asset variable values, and failure data may be received. A correlation factor may be generated by comparing the weather data and the asset variable values. One or more weather variables may be selected based on the correlation factor. A predicted asset variable value may be determined based on the weather data and the selected weather variables. The weather data and the predicted asset variable values may be compared to predict a failure probability for a first asset segment.