Case Study: Alstom achieves predictive maintenance and reduced train downtime with Devoteam

Alstom reduces train downtime and delays with Devoteam predictive maintenance

Alstom, a global leader in rail transport, faced the challenge of proactively identifying potential train failures. Their manual analysis of log data was inefficient and time-consuming, hindering their ability to optimize uptime and enhance customer satisfaction. Partnering with Devoteam, Alstom sought a cloud-powered predictive maintenance solution on AWS to address these issues.

Devoteam implemented the EBISense Onboard Platform, an advanced analytics solution on AWS that automates data analysis using machine learning. This provided Alstom with near real-time insights and alerts for proactive maintenance. The results included reduced downtime and delays, optimized resource allocation, and enhanced system reliability, leading to significant cost savings and improved passenger satisfaction. Devoteam's solution empowered Alstom to operate with greater efficiency and foresight.

Alstom