the real sector of Russian industry chooses AI because of savings / News of the economy of Krasnoyarsk and the Krasnoyarsk Territory / Newslab.Ru

The top key reasons why Russian industrial leaders choose AI is led by the reduction of production costs.

With the help of AI, a company can save 15-35% of costs. Another financial optimization item is reducing equipment downtime: enterprises that have implemented AI services note a reduction in unplanned shutdowns by 30–55%. Konstantin Isakov, a leading expert in business consulting T1 AI (part of the T1 IT holding), spoke about this at the Future Forum.

According to Konstantin Isakov, the growth rate of the AI ​​market in Russia is one third higher than global indicators. According to expert forecasts, domestic developers will end 2025 with a 45% increase in revenue, while the global increase will be about 30%. The share of Russian companies using artificial intelligence technologies in operational activities has reached 74%, and in management processes – 56%.

In an industry where the volume of data is growing exponentially, traditional approaches to automation are no longer sufficient.

“AI is used at all stages – from the preparation of technical documentation to product certification. This speeds up processes and minimizes the human factor, which is critical for stable quality,” noted Isakov.

The key task of developers is to create scalable and accurate models that can predict failures and prevent breakdowns and downtime. This approach moves quality management from the category of control to the area of ​​active risk prediction. Machine learning, big data analytics and computer vision technologies are already helping to identify defects at an early stage and prevent production lines or equipment from stopping. In the context of the transition of equipment and machine manufacturers to life cycle contracts, this task is of particular importance and relevance.

“Intelligent technologies are no longer just a tool. This is a strategic basis for reducing risks, increasing efficiency and accelerating product launch to market,” the expert concluded.