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AI and machine learning have become increasingly prominent with the widespread availability of generative AI tools. This article discusses how AI and the IoT are being used to monitor rail networks and optimize their operation. One example of the potential usefulness of combining AI and the IoT is monitoring track vibrations using simple but robust accelerometers with internet capability. A company named Konux has collected billions of train traces over the last decade and correlated this data with maintenance information using AI over the vast German train network. This level of data interpretation allows for the prediction of failures in the system based on past events, thus informing where predictive maintenance should be performed.