According to Sergei Matusevich, the presence

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vorable conditions for startups and research in this area. Singapore, for example, has adopted an updated AI strategy (NAIS 2.0), which is designed to significantly increase the country's economic and social potential over the next three to five years," said Anton Konushin.

Nikita Kulikov agrees with him. He added that when talking about Asia, one should not forget about India, where the majority of companies providing IT support are concentrated.

of large companies romania whatsapp resource developing and promoting AI-based solutions in the region plays an important role.

"This creates a competitive environment and encourages other companies to implement similar technologies. In the countries of Southeast Asia, we are seeing rapid growth in the digitalization of the economy. Many countries in the region, such as Singapore, South Korea, Japan, are actively investing in the development of AI technologies at the state level. This creates a favorable ecosystem for the implementation of innovations in business processes," said Sergey Matusevich.

AI in Russia

On average, according to Sergey Kosetsky, the initial implementation stage of AI in the work of Russian companies takes from three to six months, and subsequent adaptation and training takes another four months to a year.

Sergey Matusevich said that this is due to the fact that companies spend more time assessing data security risks and complying with regulatory requirements. The need to modernize IT infrastructure for the implementation of AI solutions plays an important role.

"Modernization may include updating hardware, optimizing network infrastructure, and implementing new data management systems. All of these processes require additional time and resources," said Sergei Matusevich.

Anton Konushin noted that the duration of the implementation of an AI solution may depend on the AI ​​product itself. A boxed service that generates texts to speed up creativity for marketing campaigns can be implemented as quickly as possible, but the implementation of complex technology in production or in corporate infrastructure, which includes training models on special data of a specific business, integration with existing systems and ensuring data security, can take much longer.

Kirill Semion, CEO of the National Competence Center for Information Systems of Holding Management, said that the difficulties that prevented the active implementation of AI in the activities of companies and the daily lives of citizens were due to insufficient attention from the state and the low priority of developing AI technologies in the country at the state level. But with the development of the corresponding state strategy, this process began to go faster.