Advanced maaintenance based on data analysis is a key factor for the rail sector to ensure a safe and reliable service. Technologies such as predictive analytics, artificial intelligence, and machine learning are used to analyze data and detect potential problems before they occur. This allows for preventive maintenance, which can reduce the cost of repairs and improve the safety of the rail system. Additionally, data analysis can be used to identify areas of improvement and optimize the performance of the rail system.
Jose Maria Perez Casas
José Antonio Marcos Alberca Carriazo
Head Manager of Smart Maintenance Engineering and New Projects. Industrial engineer.
Secretary & Director of Industry Relations
EFNMS European Federation of National Maintenance Societies
Senior Business Solutions Strategist