Edge AI is at home in the fields of Artificial Intelligence, the Internet of Things, and Industry and Industry 4.0. This involves AI not only running in large data centres or in the cloud, but also working directly where the data is generated \u2013 at the edge of the network, for example, in machines, sensors, or smartphones.<\/p>\n
A simple example: A surveillance camera on a company premises can recognise faces or suspicious movements directly on-site thanks to edge AI. The data does not first need to be sent to a central server and extensively analysed there. This saves time and increases security, as sensitive information does not leave the premises.<\/p>\n
Edge AI thus ensures fast, direct, and often safer decisions. Especially in industrial environments \u2013 for example, on production lines \u2013 Edge AI can allow machines to react immediately to errors or deviations, without delay caused by the trip to the data centre. This makes processes more efficient and reduces downtime. Edge AI is becoming increasingly important, particularly in the Internet of Things, because so many devices work interconnectedly and quick reactions are required.<\/p>","protected":false},"excerpt":{"rendered":"