From a technical point of view, a lot has happened since the beginnings of rail freight transport around two hundred years ago. Driven by digitization, numerous innovations have been introduced in the industry, especially in recent years. Classic track and trace applications are now standard in freight transport. Companies collect a lot of valuable data through which they could actually profit much more than is currently the case. For example, position data is collected, but the logical linking of data to real added value for operations often falls by the wayside.
In this context, technical progress in the areas of Internet of Things (IoT) and Machine Learning enables many interesting uses, some of which could be implemented with relatively little effort. In this webinar, we will talk about use cases based on intelligent data analysis that go far beyond classic track and trace. And there is even more to it: Since valuable resources can be saved, not only your business benefits, but also our environment.
Jürgen has been active in traffic telematics for more than 20 years. He was on the board of ATTC (Austrian Traffic Telematic Cluster) for almost 10 years and on the board of ITS-Austria for more than 4 years. His most important positions were at Kapsch TrafficCom, the Council for Research and Technology Development, Rail Cargo Group (an ÖBB company) as Head of Innovation and now at A1 Digital as responsible for Portfolio Management and Innovation.
Philipp is a passionate technology marketeer. After studying economics, Philipp worked in marketing for various companies in the IT, telecommunications, mechanical engineering, chemical and film industries. Currently, he is driving the marketing of A1 Digital's IoT and advanced analytics solutions.