Edge-native AI is at home in the categories of Artificial Intelligence, Internet of Things, and Industry and Industry 4.0. The term describes a special form of artificial intelligence (AI) that is used directly on end devices or \u201eat the edge\u201c of the network, i.e. close to the data source \u2013 instead of centrally on large servers in the cloud.<\/p>\n
This means that, for example, sensors or machines in a factory do not have to send their data to the internet for analysis. Instead, a small but powerful AI system takes on this task directly on-site. This leads to faster decision-making and less internet traffic. Furthermore, edge-native AI increases data security, as sensitive information does not need to leave the company premises.<\/p>\n
A vivid example: In a modern factory, a camera with edge-native AI can immediately detect when a product is faulty and stop the machine directly, without waiting for evaluation in a cloud. This makes production processes faster, safer and more efficient \u2013 a real competitive advantage for companies in Industry 4.0.<\/p>","protected":false},"excerpt":{"rendered":"