In the rail industry, data-driven dynamic maintenance and remote monitoring is a key strategies for ensuring train reliability and longevity. By using sensors and telemetry to collect data on train performance and condition, maintenance teams can anticipate and address potential problems before they occur. Remote monitoring enables real-time monitoring of trains, which is useful for detecting problems such as component wear, overheating, and other signs of failure. This data can be used to schedule maintenance and repairs at optimal times, reducing downtime and improving train availability. Dynamic maintenance is a proactive approach to maintenance, which uses data to determine train maintenance needs in real-time. This approach can reduce the need for scheduled maintenance, as well as the associated costs and downtime.