Proving the Business Case for the Internet of Things


Terminology: Less is More


As m2m / IoT moves into the mainstream enterprise environment the industry should move away from terms that can cause confusion but which insiders take for granted.  Nor is there, in my opinion, any need to invent new terms and buzzwords that have little to no added value. For example:

Fog computing is meant to convey the idea that the advantages of cloud computing can -- and should -- be brought closer to the data source.  The rationale for using this term is that fog is simply a cloud that is close to the ground. True, but in a fog you also have difficulty seeing where you are going.

?The goal of fogging is to improve efficiency and reduce the amount of data that needs to be transported to the cloud for data processing, analysis and storage.? There?s nothing new about that concept: it?s happening.

The quote comes from and every day they explain the meaning of a term.  The explanations are good, but do we really need new terms like prescriptive analytics and sensor analytics? 

Buzzwords are a great way of encapsulating a set of ideas and concepts, unfortunately the media and the market hypes them up before they converge and become a tangible reality. Good buzzwords like the Cloud stick when that happens. 

We?ve seen the same thing happening with the IoT. It?s been widely and wildly misunderstood.  What is the difference between the IoT and M2M?  M2M is a subset of the IoT. The IoT employs proven M2M technology.  True, but do the CIOs of large enterprises or the owners of small- and medium-sized businesses care about the term as such?  No. What does it deliver? What benefits will it bring?  That?s what matters and that has always been the case.