Abstract: A method includes using a mobile device connected to an industrial network of an industrial system, obtaining a first identity object from an intelligent industrial device of the industrial system, bridging through the intelligent industrial device to obtain a second identity object of a related device of the industrial system that is related to the intelligent industrial device, and using the mobile device, presenting a hierarchy context of the intelligent industrial device to a user based on the identity objects.

Abstract: A method includes, using a mobile device connected to an industrial network of an industrial system, receiving a chainable compute service assignment from a first intelligent industrial device of the industrial system that assigns a chainable compute service to the mobile device or assignment from a cloud-based device or system connected to the industrial network that assigns the chainable compute service to the mobile device; and using the mobile device, performing the chainable compute service.

Abstract: A method includes using a mobile device, obtaining first intelligent device information for backup of a first intelligent industrial device of an industrial system, using the mobile device, creating a backup of the first intelligent industrial device including a first device identity and a first device configuration based on the first intelligent device information, and using the mobile device, configuring a second intelligent industrial device as a clone of the first intelligent industrial device based on the backup.

Abstract: A human interface module (HIM) includes a memory that stores executable components and a processor, operatively coupled to the memory and configured to execute the executable components, the executable components including a communications component configured to communicate with an associated intelligent industrial device and an intelligent network of an industrial system, and a chainable compute component that operates as a computation resource for the industrial system by allowing an assigning device of the industrial system to offload one or more computational tasks to be performed by the HIM.

Abstract: A method for creating a predictive model is disclosed herein, including the steps of determining trends and patterns in electronic data, using at least a first machine language algorithm, refining the determination of the algorithm, searching for social models that describe the identified trends and patterns using at least a second machine language algorithm, verifying causal links, constructing at least one model about human node behavior and interactions, utilizing the social models to do at least one of the following: validate hypotheses, predict future behavior, and examine hypothetical scenarios, automatically updating predictions when new data is introduced, using probabilistic techniques to learn hierarchical structure in unstructured text, continuously updating a set of themes, examining grammatical rules of each component of text, matching grammatical constituents to semantic roles, and reorganizing data into clusters of entities with common attributes.

Abstract: A method for creating a predictive model is disclosed herein, including the steps of determining trends and patterns in electronic data, using at least a first machine language algorithm, refining the determination of the algorithm, searching for social models that describe the identified trends and patterns using at least a second machine language algorithm, verifying causal links, constructing at least one model about human node behavior and interactions, utilizing the social models to do at least one of the following: validate hypotheses, predict future behavior, and examine hypothetical scenarios, and automatically updating predictions when new data is introduced.