Commissioned by the non-profit organization “Digital Economy,” the research aims to:
• Identify and analyze trends in AI adoption across industrial enterprises
• Examine successful AI implementation cases
• Define key processes where AI solutions can be applied in industrial settings
• Describe the ecosystem for AI development in Russian industry
Over the two years since the initial study, the number of AI use cases in industry has grown 3.25 times—from 24 to 78. In 2024, the study features over 300 cases, reflecting the rapid expansion of AI applications. The number of model practices (scenarios of AI technology adoption by enterprises) has also increased significantly, with 111 model practices described in the latest research. Among the key AI technologies, computer vision is the most widely used, accounting for 40 cases involving perception, analysis, and interpretation of visual data.
📄 Download the full study:
https://d-economy.ru/analitic/jeffektivnye-otechestvennye-praktiki-primenenija-tehnologij-iskusstvennogo-intellekta-v-promyshlennosti/
• Identify and analyze trends in AI adoption across industrial enterprises
• Examine successful AI implementation cases
• Define key processes where AI solutions can be applied in industrial settings
• Describe the ecosystem for AI development in Russian industry
Over the two years since the initial study, the number of AI use cases in industry has grown 3.25 times—from 24 to 78. In 2024, the study features over 300 cases, reflecting the rapid expansion of AI applications. The number of model practices (scenarios of AI technology adoption by enterprises) has also increased significantly, with 111 model practices described in the latest research. Among the key AI technologies, computer vision is the most widely used, accounting for 40 cases involving perception, analysis, and interpretation of visual data.
📄 Download the full study:
https://d-economy.ru/analitic/jeffektivnye-otechestvennye-praktiki-primenenija-tehnologij-iskusstvennogo-intellekta-v-promyshlennosti/
Beyond compiling best practices, the research also establishes a methodology for designing, implementing, and integrating AI-driven digital services to enhance labor productivity and operational efficiency in industrial enterprises.