AI, machine learning and big data analytics are creating a new paradigm for OEM's, but how are they ensuring safety, reliability and cyber security of real time data access, data in transit, cloud, on board control systems and control centers?
As rolling stock business models change with the introduction of new technology, digitisation and big data solutions, implementation of IoT or the "The Internet of Trains," enables the consolidation of large volumes of data with business processes and IT systems, creating rolling stock data centers in their own right. With new service offerings for predictive maintenance, condition monitoring, passenger information systems and a plethora of onboard connected sub systems on the rise, bundled data from the vehicles, the infrastructure, and the operations are just the beginning.
Do railway organisations understand the value of staying in control of the rolling stock data and do they understand the cyber security implications of digitised assets when considering costs in new assets and refurbishment of older systems?
We will dive deeper into Rolling Stock Data Centers in our new webinar, providing insight into the cyber security considerations around new business models, challenges and what we need to consider during design and implementation