The total number of such documents will exceed 1 billion.

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Director of the National Center for Artificial Intelligence Development under the Government of the Russian Federation Sergey Nakvasin estimated the growth of AI penetration since 2021 at 50%. According to his assessment, the leaders are such industries as IT, telecom, medicine and finance, where the penetration level exceeds 50%. As india whatsapp number database for government agencies, they can formally, as Sergey Nakvasin noted, also be considered leaders, since the penetration level of a number of technologies, in particular text recognition or chatbots, is also very high, but if they are not taken into account, the situation changes dramatically for the worse.

According to Sergey Nakvasin, the main obstacles to the implementation of AI are the shortage of personnel, the lack of data centers (data processing centers), primarily in the regions, and the lack of access to datasets used to train neural networks. In addition, he said that the market lacks quick-to-implement, ideally boxed solutions that could meet the needs of small customers, be it small and medium-sized businesses, educational or medical institutions, or municipal government.

According to Karen Kazaryan, Director of Analytics at the Digital Economy ANO, no less serious obstacles are the lack or imperfection of AI standards, the low level of digital literacy of the population, and the insufficient maturity of businesses. In his opinion, the Data Economy program, which will be launched in June 2024, is aimed at overcoming these challenges.

Gleb Shuklin, coordinator of the strategic committee and R&D of the Big Data Association, called the key task to find a balance between privacy and development - without its permission, there can be no talk of widespread implementation of AI. In second place, in his opinion, is the task of training in working with data. Gleb Shuklin gave the example of such industries as the fuel and energy complex, housing and communal services and construction, traditional retail, which have accumulated data, cannot use it to its full extent themselves, but at the same time cannot share it with those who have already learned, for example, with the financial sector or telecom, which have already "hit the ceiling" with processing the data they have. And in the future, as the representative of the Big Data Association warned, this problem will only increase.