The sad state of current processes has a major impact on many industries as most of the work happening is still in the raw form, hard copies, and cannot be used as a knowledge resource.The Industrial Internet of Things has been found out, as to be a workable solution for it.The solution is to build a standards-based interoperable platform that allows services combine semantic data from multiple sources to provide the foundation for accelerated innovation in smart manufacturing.
For that, The industrial Internet combines fields such as machine learning, the Internet of things, big data and machine-to-machine communication to make it happen. To extract data from machines, analyze it, and use it to adjust operations is the real objective of Industrial internet of things.
The challenges faced by IIOT right now is, most of the industrial automation systems were designed with an expectation of isolation from external networks. Thus each of these systems will have to be re-designed or made IoT ready, so they address the key challenge of getting the systems connected. The next challenge will include in being more adept to manage and analyze operational data on the machine, on-premise, and in the cloud. The analytics platform will finally optimize operations.