To understand Edge AI, picture a traditional factory setup. Machines and sensors generate massive volumes of data, which is typically sent to the cloud for processing. While this cloud AI model offers immense computing power and storage, it also introduces latency, consumes bandwidth, and may pose data security risks, especially for proprietary or sensitive operational data.
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