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Specialized knowledge and abilities: Embedded AI requires experience further than classic embedded systems, data science, and machine learning.
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Low operational risks: Embedded AI can autonomously respond to modifications, lessening the chance of human error
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Real-time data processing: Embedded systems will be able to seize, examine, and respond to escalating volumes of data in real-time
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