Лектор из Стэнфорда провел семинар по искусственному интеллекту в КТЖ

In the innovation hall of JSC "NC "Kazakhstan Temir Zholy" a seminar was held on the use of artificial intelligence and large language models (LLM) in the railway industry. The event was attended by the Chairman of the Board of KTZ Talgat Aldybergenov, his deputies, heads of branches and subsidiaries. The purpose of the seminar was to study practical areas of using AI: from infrastructure diagnostics to intelligent train traffic planning. The lecturer was Dr. Sciences at Stanford University Younes Bensouda Murri is one of the leading experts in the field of educational technologies and artificial intelligence, the head of the company LiveTech.AI and the author of more than 20 international studies. He taught over 1.2 million students on the Coursera platform and at the age of 22 became one of the youngest teachers at Stanford. Participants were reportedly presented with technologies that improve traffic safety, reduce delays and optimize logistics. Particular attention was paid to the integration of AI in KTZ processes - from infrastructure management to data analysis. about transportation, KTZ notes that the company is already implementing a number of projects where AI is used for diagnostics and planning.

research and optimization. “The pilot system analyzes more than 500 thousand gigabytes of data on the condition of tracks and equipment, which made it possible to reduce the elimination of defects from 15 to 1 day and speed up repair planning by almost half. The schedule forecasting system increases the accuracy of train arrivals to 95 percent and increases network capacity by 15 percent, taking into account weather conditions and station load,” the national company said in a statement. KTZ has introduced internal language models trained on 5 thousand regulatory documents. They help employees instantly find the information they need and increase the transparency of processes. It is noted that AI also analyzes over a million gigabytes of transportation data, identifying anomalies, inefficient routes and detours, which reduces losses and increases logistics efficiency. KTZ is forming an ecosystem of “intelligent railway”, combining infrastructure, diagnostics, traffic and analytics into a single digital system. The seminar became not only a platform for knowledge exchange, but also a confirmation of KTZ’s leadership in the application of AI in the transport industry in the region. Many of the presented solutions have already been implemented and demonstrate real effects. The most important thing

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