Edge computing means that data is not processed exclusively in central cloud servers, but closer to the data source or the end device. Edge computing therefore enables the local execution of AI algorithms and models on edge devices, allowing for faster processing and decision-making.
Advantages of edge computing:
Faster response time: local processing enables AI decisions to be made in real time, which is particularly important in applications such as autonomous vehicles or IoT devices.
Privacy and security: By processing sensitive data locally, privacy policies can be adhered to and security risks minimized
Robust performance: Edge computing enables AI models to operate in environments with limited connectivity, which is beneficial in remote or industrial environments.
Edge computing is revolutionizing data processing in AI by enabling fast, local decisions.
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