Abstract
Objective: Modification of trends in the development of railway transport with the introduction of artificial intelligence technologies that are optimal for predictive assessment of the activities of a transport organization. Methods: The key logical methods of cognition – analysis and synthesis – are used. Results: The scientific background related to the digitalization of the transport industry has been studied with the help of fundamental research, data from the Federal State Statistics Service, and the SPARK information resource. The necessity of introducing intelligent technologies to optimize transportation time and reduce costs has been determined. The main directions of application of intelligent technologies in railway transport are systematized, taking into account the strategic target direction of the industry. Practical importance: The main findings can be used in forecasting business processes using various digital technologies and tools
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