Although standards are being developed at national, regional, and international levels to address such concerns, adherence to standards is largely a voluntary matter and not all industry players align with them.

First, the rapid growth of AI and the IoT has led to compatibility issues between different platforms and systems. The interconnection between AI and the IoT comes with both challenges and threats. What are the challenges of AI and the IoT? AI techniques such as machine vision (the technology that provides image-based automatic inspection and analysis for applications like automatic inspection, process control, and robot guidance) and natural language processing empower IoT devices to perceive and understand the environment, interact with users more effectively, and adapt to changing conditions. This interplay between AI and the IoT can be seen in multiple applications, such as smart home devices able to learn users’ preferences and adapt to their habits vehicle autopilot systems that can analyse the surrounding environment, detect objects, and make split-second decisions for navigation and collision avoidance drones smart cities applications, etc. AI can further enable IoT devices to become more intelligent and autonomous. Overall, AI can enhance the capabilities of IoT devices by enabling data analytics, facilitating real-time monitoring and predictive maintenance, predicting and detecting cyber threats, and improving energy efficiency, among other things. These devices, in turn, generate significant amounts of data, which is then analysed and used for the verification of initial AI algorithms and for the identification of new cognitive patterns that could be integrated into new AI algorithms. AI provides ‘thinking’ for IoT devices, making them smart. AI and the internet of things How can AI improve the IoT?ĪI and the Internet of things (IoT) complement each other.

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