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KIROI - Artificial Intelligence Return on Invest
The AI strategy for decision-makers and managers

Business excellence for decision-makers & managers by and with Sanjay Sauldie

KIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

KIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

Start » Edge-native KI (Glossary)
23 May 2025

Edge-native KI (Glossary)

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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 „at the edge“ of the network, i.e. close to the data source – instead of centrally on large servers in the cloud.

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.

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 – a real competitive advantage for companies in Industry 4.0.

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