Abstract: Techniques for live adaptive training in a production system are described. In an example, a training application executed on a workstation receives, based at least in part on an identifier of a user of the workstation, a training module and a trigger rule to present the training module. The training application exchanges, with a workstation application executed on the workstation, data about an event determined by the workstation application. The training application also determines a match between the trigger rule and the event. Based at least in part on the match, the training application initiates a presentation of the training module. In a further example, when the training module is presented, a transition rule may be used by the training application, based on an event from the workstation application, to determine a next training segment from the training module to present.

Abstract: A method stores entries including user activity information for users using computing devices and unique identifiers for computing devices as inventory information for the users. For an entry, a unique identifier for a computing device is determined based on network activity for the computing device being connected to a network and user activity information for the network activity includes user identification information determined from the computing device while the computing device is connected to the network. The method then determines multiple entries for the user including user identification information and a set of unique identifiers for a set of computing devices. The multiple entries for the user are compared against criteria to determine if the user should be assigned to a computing device based on the user activity of the user. The user is assigned to the computing device using the unique identifier if the comparison meets a threshold.