The Internet of Things, where are we now?

The Internet of Things, or IoT, refers to the billions of physical devices around the world that are now connected to the internet, collecting and sharing data. Thanks to cheap processors and wireless networks, it's possible to turn anything, from a pill to an aeroplane, into part of the IoT. This adds a level of digital intelligence to devices that would be otherwise dumb, enabling them to communicate without a human being involved, and merging the digital and physical worlds. (Znet)

The three main trends we’ve been keeping an eye on over 2018 with IoT were analytics, edge computing and 5G. IoT is paving the way for these trends and will likely continue to do so for years to come. 

Advanced analytics

Advanced analytics are showing just how powerful the IoT really is. This year, the data from IoT initiatives changed the manufacturing, healthcare, transport and many more industries. 

Truck manufacturer Navistar is now monitoring its fleet of 180,000 trucks using real-time data thanks to IoT and analytics. They are managing refuelling and analyzing driver behaviour to assess whether goods have been spoiled in transit. (Forbes)

5G

5G networks are the next generation of mobile internet connectivity, offering faster speeds and more reliable connections on smartphones and other devices than ever before.

Combining cutting-edge network technology and the very latest research, 5G should offer connections that are multitudes faster than current connections, with average download speeds of around 1GBps expected to soon be the norm.

The networks will help power a huge rise in Internet of Things technology, providing the infrastructure needed to carry huge amounts of data, allowing for a smarter and more connected world.

With development well underway, 5G networks are expected to launch across the world by 2020. (techradar)

Edge Computing

Wikipedia defines Edge Computing as “pushing the frontier of computing applications, data, and services away from centralized nodes to the logical extremes of a network. It enables analytics and data gathering to occur at the source of the data. This approach requires leveraging resources that may not be continuously connected to a network such as laptops, smartphones, tablets and sensors.”

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