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ByDAO EDGEEdge AI refers to artificial intelligence that runs directly on local devices, close to where data is generated, rather than relying on centralized cloud servers.
In traditional cloud-based AI systems, video streams or sensor data must be transmitted to remote servers for processing. This approach often introduces latency, increases bandwidth costs, and raises concerns around data privacy and system reliability.
Edge AI addresses these challenges by performing inference locally. By keeping data on-site, Edge AI enables faster response times, stable operation in environments with limited connectivity, and greater control over sensitive information.
Today, Edge AI is widely adopted across industrial, commercial, and public environments where real-time decision-making, privacy protection, and long-term system stability are critical requirements.
This article is part of DAO EDGE’s insights on practical Edge AI deployment.
