Artificial Intelligence and Machine Learning for NB-IoT

Hossam Fattah · 2025

Artificial Intelligence (AL) and Machine Learning ( ML ) are essential part of intelligent NB-IoT. AI / ML is used to process and analyze a massive amount of data generated by NB-IoT devices. AI / ML enables real-time decision-making, optimizes network performance, and enables new applications such as smart homes and smart vehicles. AI / ML is used to do predictive maintenance which analyzes data from NB-IoT sensors and predicts equipment failures and optimizes maintenance schedules, reducing downtime and costs. The use of AI / ML in NB-IoT is a new area and it is covered in this chapter. AI / ML are used for classification, predictive modeling, and feature analysis in NB-IoT applications. The AI / ML models are able to recognize patterns and make data-driven predictions and thus can draw insights from NB-IoT sensor data. The AI / ML models illustrate the benefits of classical, ensemble-based, and neural networks for NB-IoT.

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