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The aim is to identify characteristics, drivers, and barriers to AI adoption in Russian data management amidst sanctions.

Artificial intelligence in data management: Russian market practice

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Identifies key drivers and barriers to AI data management adoption in Russia, suggesting implications for corporate strategies.

The aim is to identify characteristics, drivers, and barriers to AI adoption in Russian data management amidst sanctions.
Content analysis of corporate reporting and public disclosures from major companies.
Secondary data analysis from industry research.
Comparative analysis of Russian and international AI practices.
By 2024–2025, Russian companies are scaling AI initiatives, with financial effects reaching tens of billions of rubles annually.
Sanctions pressure is found to accelerate the development of proprietary AI solutions, enhancing technological sovereignty.
Identified patterns can inform corporate AI adoption strategies and public policy development.

Renat Evgen'evich Rodionov (2026) studied this question.

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