Until artificial intelligence seemingly swept nearly everything before it, the “Fourth Industrial Revolution” or “Industry 4.0” was mostly about applying sensors and the internet of things to machinery used in factories. Recently, we are more likely to hear it said about applied AI.
When the term “Fourth Industrial Revolution” was popularized (notably by Klaus Schwab of the World Economic Forum starting around 2016), its initial core was the fusion of physical and digital realms.
The Internet of Things was viewed as the key enabler, referring to the network of physical devices, sensors, machines and software that allows machines and computers to collect and exchange data. In a factory setting, this meant equipping machines with sensors to gather real-time data on their performance, environment, and output.
Of course, the issue, as always, is not “data” as such but the ability to wring useful insights from data. For that reason, we are starting to hear AI mentioned as driving the Fourth Industrial Revolution.
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