With the ongoing implementation of the IoT in smart cities and manufacturing, there comes with it a growing need for large amounts of data to make the “smart part” happen. These amounts of mega data are required in order to execute the build out of more effective ecosystems. These ecosystems are those that can provide the proactive insights needed in information intense verticals like manufacturing, health and safety. AI [artificial intelligence] and blockchain are two technologies that require strong data capture to be used effectively. This type of data can then be accessed to enable broader visibility via these ecosystems which will in turn enable better operational and predictive capabilities. The following article does a good job of providing some interesting points of view on how these ecosystems are designed.
The Internet of Things (IoT) is set to spread into every area of the enterprise over the next year, in order for that to happen it will need to start employing some of the newer, emerging technologies. This will be particularly true of Industrial IoT (IIoT) as more and more organizations start using the opportunities it offers to achieve business goals.