Abstract: Methods, systems, and computer-readable storage media for detecting and managing events from data of an Internet-of-Things (IoT) network, and actions can include receiving a first call from a first application, the first call including timeseries data from one or more IoT devices in a first IoT network, retrieving a rule set for processing the timeseries data, and determining that an anomaly is represented in the timeseries data based on the rule set, and in response, generating an event, the event having a configuration that is customized by an enterprise associated with the first application, executing an event workflow to transition the event between states, and transmitting an event response to the first application.

Abstract: Methods, systems, and computer-readable storage media for detecting and managing events from data of an Internet-of-Things (IoT) network, and actions can include receiving a first call from a first application, the first call including timeseries data from one or more IoT devices in a first IoT network, retrieving a rule set for processing the timeseries data, and determining that an anomaly is represented in the timeseries data based on the rule set, and in response, generating an event, the event having a configuration that is customized by an enterprise associated with the first application, executing an event workflow to transition the event between states, and transmitting an event response to the first application.

Abstract: A project manufacturing method and system. An embodiment of a method includes receiving project order data to a production order scheduler, mapping the project order data to parameters of the scheduler, and producing a schedule from the mapped data using routines of the scheduler. As such, the method uses the existing production order routines without modification. Exemplary applications include project and product planning and assembly.