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Edge AI: what it is and why companies process artificial intelligence close to the data

TechnologyInternationalIEBS Business School35 s readAI summary
Image: IEBS Business School

Edge AI consists of running already-trained artificial intelligence models on the device that receives the data or on a nearby machine, usually for inference tasks. The text distinguishes it from edge computing and from local AI, and cites applications in industrial inspection, healthcare, logistics, retail, smart buildings and accessibility. Among its advantages it points to low latency and real-time processing; among its problems, version management, security, power consumption and hardware cost.

In 35 seconds

  • Edge AI runs already-trained models on the device or a nearby machine, without continuously sending data to the cloud.
  • It is not the same as edge computing or local AI, although the three ideas can overlap in some cases.
  • Applications cited: industrial inspection, healthcare, logistics, retail, smart buildings and accessibility.
Read the full story at IEBS Business School

IASummary generated by artificial intelligence from a story by IEBS Business School. It may contain errors: the original source prevails.

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