Abstract
With the emergence of Artificial Intelligence of Things (AIoT), many daily activities have been influenced by the usage of intelligent systems. Many modern applications support a smart environment. A large-scale system may comprise individual IoT systems. The overall system is controlled by Artificial Intelligence, and it serves as the brain that takes decisions. To make effective use of the information stemming from these data using efficient and intelligent data processing techniques is essential that can be analyzed with AI for decision-making or problem-solving. IoT can promote the learning and intelligence of AI; contrarily, AI can multiply the value of IoT. AIoT systems make use of key technologies like deep learning, machine learning, natural language processing, voice recognition, and image analysis. In practice, while deploying AIoT for smart environments, it might come across many challenges. Apart from this, there are other concerns such as security, performance, reliability, efficiency, complexity, accuracy, scalability, and robustness related to the growing state-of-the-art AIoT systems applications for smart environments. All these above concerns are discussed in this chapter along with practical examples.
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