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Edge AI is the deployment of AI algorithms on edge devices, enabling real-time data processing and decision-making. It is crucial for applications requiring quick reactions and offers benefits such as improved response times, data privacy, and reduced bandwidth usage. Key considerations for implementing Edge AI for real-time analytics include use case evaluation, hardware selection, AI model optimization, frameworks and platforms, and data security.
