October 3 9:53
The future of the transport industry for multimodal and systems. Five years later, the transport industry of Russia will move on to the commercial use of autonomous transport systems and expand digital control models at all levels.
Such a forecast was presented at the forum “Digital Transport” The head of the artificial intelligence of the IT Holding T1 Sergey Golitsyn.
According to him, the development of the industry is closely related to the introduction of artificial intelligence. In the next two years, the focus will automate document management and client communications, the introduction of intellectual transport systems (ITS), as well as generative AI for transportation.
In the medium term – from three to five years – smart transport hubs will appear in Russia – airports, ports, railway units – and the integration of transport and infrastructure into a single digital circuit will occur. The key trend will also be the massive use of AI to ensure traffic safety and the development of assistants for operational movement planning.
However, technological shifts today contribute to the growth of efficiency and transparency of logistics processes and significantly improve the quality of the services provided. Sergei Golitsyn gave examples of AI solutions from IT Holding T1. They are used to optimize the empty run of wagons, forecasting passenger traffic, automated reception and processing of data from sensors to verify goods, to create an intellectual assistant, with whom you can communicate with a voice today.
“Logistics is a real laboratory for AI. All these systems already reduce the time and complexity of operations, reduce errors, make the transport industry more transparent and more effective for business and the final client, ”Golitsyn notes.
However, in the near future the pace of implementation will be slightly reduced. As Sergey Golitsyn emphasized, the Russian market of AI entered in a two -year period of slowdown, which in 2027 will be replaced by the stage of advanced growth. By that time, the market volume will increase from the current 88 billion rubles to 138 billion rubles. The reason for this cooling lies, first of all, in the temporary reduction of IT budgets of companies and in the transition to a balanced investment policy.
Despite the external challenges and the increase in the cost of introducing innovations, Sergei Golitsyn identifies four success factors that increase the return on investments:
- The development of multimodal models in which AI integrates and analyzes several types of data at once (audio, visual, text), and agents chains complement each other in decision -making;
- the introduction of language models that allow business to request an analyst from AI with both voice and text, without involving specialists in machine learning;
- launch of the ML-code factories and automated platforms for quick setting up “agents” without involving specialists in programming;
- The focus is only on the payback, giving the business effect of implementations.
“Wow effects associated with the magic of AI have gone the past. Business increasingly uses a pragmatic approach: investments are justified – we introduce, if not, we put it off. In many ways, this is the result of the increased involvement of top management and understanding what artificial intelligence is in practice, ”said Sergey Golitsyn.
