Customers: Pipe Metallurgical Company (TMK) Moscow; Metallurgical industry Product: Artificial intelligence (AI, Artificial intelligence, AI)Project date: 2024/08 - 2025/02
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2025: Using AI to work with technical documentation
On March 19, 2025, the Pipe Metallurgical Company (TMK) announced the use of artificial intelligence (AI) technologies to work with technical documentation and capture production data at the IT in Industry conference organized by the TAdviser portal in Moscow. Report "Modern AI technologies in industry. Development trends "was presented by the head of the center for digital technologies TMK++, the company's own IT division, Alexander Lunev.
TMK, along with actively used methods of predictive analytics, machine learning and machine vision, uses solutions based on generative artificial intelligence and large language models (LLM). LLM technology is at the heart of the software product that the company creates for operational work with technical documentation. With data on TMK regulatory and technical documents, it will significantly speed up the processing of requests from internal and external customers and increase the speed of responses.
The workshops use transcribing technologies, which, when processing incoming sound, filter out production noise and minimize errors in electronic logging at production sites. Also, sound recognition and technologies of large language models and generative AI are included in the tools of the corporate chat bot "CheMKa," which is actively used by the company's employees using the intranet portal.
TMK uses digital products in order to increase competitiveness and gain economic effect. We are gradually introducing various artificial intelligence technologies within the framework of a single digitalization strategy and not only increase labor productivity, but also save our employees from routine tasks, freeing up their intellectual and creative potential. The company strives for digital leadership in pipe production and creates a solid foundation for the implementation of such solutions, "said Alexander Lunev. |