AI at the edge of the network (edge AI) is at home in the areas of artificial intelligence, the Internet of Things and Industry and Factory 4.0. The idea here is that artificial intelligence does not run in large data centres or in the cloud, but works directly where the data is generated - i.e. at the edge of the network, for example in machines, sensors or smartphones.
A simple example: a surveillance camera on a company site can recognise faces or suspicious movements directly on site thanks to edge AI. The data does not first have to be sent to a central server and analysed there at great expense. This saves time and increases security, as sensitive information does not leave the premises.
Edge AI therefore ensures fast, direct and often safer decisions. In industrial environments in particular - for example production lines - edge AI can enable machines to react immediately to errors or deviations, without the delay of having to travel to the data centre. This makes processes more efficient and reduces downtime. Edge AI is becoming increasingly important, especially in the Internet of Things, because so many devices are networked with each other and fast reactions are required.
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