According to a report by McKinsey, the global maintenance in the railway sector can reach 50,000 million euros. Thanks to predictive maintenance based on neural networks it is possible to save between 2,500 and 5,000 millions of Euros. Find out the business advantages arising from the adoption of a draft neural network predictive maintenance, which technique is the most suitable solution and the casuistry of this kins of projects.
Download the full use case to have all the details and find out why and how predictive maintenance project based on neural networks.
