ASTANA, Kazakhstan, October 4. In Central
Asia’s transport and logistics sector, artificial intelligence (AI)
tools are increasingly being used to combat “grey” transit
operations, Akimzhan Zhankebayev, a business analyst in the Data
Analytics department of Transtelecom JSC, told Trend.
Speaking on the sidelines of the Digital Bridge 2025 forum,
Zhankebayev noted that joint projects with Kazakhstan Railways
demonstrate how data analytics can be an effective instrument in
addressing opaque transit practices.
“Using data provided by Kazakhstan Railways, we identify risks
where railcars might be involved in non-transparent schemes. This
helps minimize losses and enhances process transparency,” he
said.
Special attention is being given to train operators’ access to
internal documentation. As part of a pilot project, an AI assistant
is being developed to analyze dozens of technical documents and
provide rapid guidance.
“If an operator faces an unusual situation, such as brake
failure, the system quickly finds the relevant instructions and
ensures action according to regulations. It doesn’t replace
specialists but accelerates access to critical information,”
Zhankebayev explained.
He noted that the project is still in the testing phase, with
Kazakhstan Railways employees participating, and early feedback
indicates faster data retrieval and improved operational
convenience.
