All respondents answered the question about

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These are the results of a survey by K2 NeuroTech (a division of K2 Tech LLC), in which about 100 companies with revenues of 2 billion rubles per year from the IT and telecom sector, the financial sector, retail and FMCG, as well as industry (oil and gas, chemicals, mining, mechanical engineering) took part.

According to K2 NeuroTech, only 34% of surveyed companies are implementing AI or are already using it to solve business problems; 18% plan to begin implementation within a year, 28% - within three years; and 20% of respondents said they do not plan to implement AI into their infrastructure.

what problems become afghanistan whatsapp number database either a stop factor to the implementation of AI or a limitation for it. The survey results showed that more than half (51%) of the companies stated that the IT infrastructure is not ready for the implementation of AI: of these, 34% stated a shortage of infrastructure solutions and ready-made tools for deploying AI on the market, the rest - about the need to expand the computing power in the company's circuit for this task.

The second most popular answer, according to the survey, was the lack of highly qualified personnel in the IT market (43%); 31% of respondents expressed concern about the security of data transfer to neural networks and cloud AI platforms.

Based on the survey results, K2 NeuroTech analysts compiled a top 5 scenarios in which, according to respondents, machine learning and AI technologies are most useful: the most popular (47.8%) was the processing and analysis of big data; in second place was document processing (41.8%); 32.8% of respondents noted the development and training of recommendation systems (which analyze the behavior and preferences of users and, based on this data, specifically offer a specific user what will be interesting to him; such systems are common in retail).

The next most popular scenario, based on K2 NeuroTech data, was content generation (31.3%); fifth place (23.9%) was shared by four scenarios: development of new materials with specified properties, creation of voice assistants and anti-fraud systems, as well as forecasting (demand, trends, etc.).

Market players confirmed the representativeness of the survey on barriers to the implementation of AI in companies

Deputy Head of the Association of Laboratories for the Development of Artificial Intelligence (ALRII) in the direction of "Technology Transfer" Robert Vasiliev noted that the solution to the problems hindering the implementation of AI could be the creation by companies of internal departments of at least basic expertise and the allocation of large resources for piloting solutions.

"ALRII, as a center of expertise, has prepared educational courses for corporate cli