IoT is often spoken of as a single and relatively unified technology. The reality is that while IoT as a concept is fairly straightforward and applicable to numerous industries and use cases, things start to look a bit different when you look closer at some specific examples.
For these comparisons, we’ll focus on agricultural, manufacturing, and commercial building IoT implementations.
Data is a Key Differentiator in Systems
A significant aspect of IoT is that data that is collected and used to make automated systems more efficient and useful. Consider an existing commercial office building that is moving to IoT sensors and systems for building automation. From installation, that building will already have numerous data sets that will help when designing a cost effective and efficient system. Building automation, electronic access, and other systems have existed for a number of years, so a commercial building operator will already know what they want to achieve with an IoT connected system.
Compare that to agriculture, where sensors and electronic devices have not been used in the past. Adapting to IoT sensors and devices will be completely new territory, however, agricultural operators do have the advantage that they often start with a data lite ͛approach. With fewer sensors and systems, they are able to identify the key benefits of their IoT systems and scale them up in a way that creates the most value.
If manufacturing is analyzed, there’s even more data to collect, and even if it is not immediately usable, the right analytics can enable significant improvements in efficiency and productivity. The problem that exists today is that the data that can come from factory sensors is so rich and so varied, that companies often don’t know what to do with it. In fact, according to an Industrial Internet Consortium report, only 1% of all factory data is used to create valuable insights.
IoT Changes Depending on the Application
Although this is a rather brief overview of some ways in which IoT can vary between industries and applications, the point should not be lost. IoT on its own is not a magic bullet for solving efficiency or productivity problems within an organization. The right design Is required, along with continued learning and adaption to make the most of any investment.
About Bill McCabe/ Internet of Things Recruiting – Executive Search/ Retained Search for the Internet of Things/ Machine 2 Machine/ Big Data Markets
Top Industrial IOT Influencer Worldwide Per Right Relevance – March 2017
IBM IOT Futurist – Top 50 IOT Authority on Twitter – Guest contributor to IoT Central, Medium and US.ibm.com/blog
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