Abstract: A method including receiving raw data; transforming the raw data into transformed data; enriching the transformed data into enriched data; and sending the enriched data to one or more machines to affect a machine state of the one or more machines. A computing apparatus includes a processor and memory that stores instructions to configure the apparatus to detect raw data being transmitted to a message broker from a plurality of edge devices; retrieve processing instructions from a non-volatile memory structure, transmit the processing instructions to the message broker; receive the processing instructions with the message broker, and apply the protocol adapter instructions to a protocol adapter to wrap the raw data in a raw observation. The raw data is transformed into transformed data; enriched into enriched data; and sent to one or more machines to affect a machine state of the one or more machines.

Abstract: A method for context-aware routing including receiving raw data; configuring a message handler with a routing table; determining data information flow with a remediation; utilizing a rule speed estimator and an orchestration speed; generating a selection signal with a resolution module to operate a selector to process the raw data; ordering the raw data with a sequencer to set a data processing order; processing the raw data; determining and sending a response message. A system for a context aware router involves service abstraction layers receiving input control signals; a router transforming the input control signals into message control signals; a rules interpretation component transforming the message control signals into rule control signals; a network abstraction layer receiving the message control signals and transforming the message control signals into a network control signal; and sending the network control signal to affect a machine state of one or more machines.

Abstract: A method including receiving input data; selecting a classification scheme; transforming the input data into transformation data utilizing the classification scheme; transforming the input data into machine learner outputs; comparing the transformation data to the machine learner outputs; and altering machine state of one or more machines in response to comparing the transformation data to the machine learner outputs. Further, a method including receiving one or more sensor inputs; receiving one or more machine insights, the one or more machine insights comprising one or more states; selecting one of the one or more states; determining conditions of the one of the one or more states; comparing the conditions to the one or more sensor inputs; and altering a machine state of one or more machines in response to comparing the conditions to the one or more sensor inputs.

Abstract: State and transition behavior data is collected from a machines and a clusterer is automatically selected to statistically group machines and machine elements. Finite states are generated from the state and transition data and used to create a machine emulator to model machine behavior. The machine emulator is then operated to predict and troubleshoot other possible states.

Abstract: A distributed journal comprises a smart contract defining access and write permissions by stakeholders that access the distributed journal. The smart contract also defines triggering rules which must be satisfied to trigger an event. The stakeholders write to copies of the distributed journal which updates an authentication server to verify each grant and operate a remote machine.

Abstract: A system and method receive raw data signals from a variety of edge devices. Observations are processed via a rule engine which may be preconfigured via a rule generator to implement a series of actions on remote or locally controlled machines. Rules are generated via a configurable user interface and may also be dynamically generated based on data received from the edge devices.

Abstract: An asset management system is presented. The management system includes monitoring devices able to provide asset data across firewalls without requiring reconfiguration of the firewalls. The asset data pass through a forwarding service that instantiates a virtual tunnel comprising a communication channel between the monitoring devices and remote asset management engines. The asset management engines can also be located behind firewalls. As the management engines aggregate asset data, the engines can present one or more alerts via a management interface.

Abstract: An asset management system is presented. The management system includes monitoring devices able to provide asset data across firewalls without requiring reconfiguration of the firewalls. The asset data pass through a forwarding service that instantiates a virtual tunnel comprising a communication channel between the monitoring devices and remote asset management engines. The asset management engines can also be located behind firewalls. As the management engines aggregate asset data, the engines can present one or more alerts via a management interface.