Using Artificial Intelligence Technologies in Statistical Analysis of Big Data: International Experience

Автор: Saidakhror S. Gulyamov, Akram O. Ochilov, Munavvarkhon Kh. Mukhitdinova

Журнал: В центре экономики @vcec

Рубрика: Мировые тенденции развития экономики

Статья в выпуске: 1 т.6, 2025 года.

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The research presented in the article systematizes foreign experience in the application of Big Data and artificial intelligence technologies in statistical analysis based on the analysis of key platforms (TensorFlow, Apache Spark, BigQuery, SAS) and practical cases of leading companies. The results show that 48% of businesses report increased efficiency from using Big Data, and 83% of large companies are implementing AI solutions. Technologies ensure the transition from descriptive to predictive analytics with an analysis accuracy of 95-99% and the processing of petabytes of data in real time. For Uzbekistan, the adaptation of this experience opens up opportunities for the digitalization of public administration, economic planning and the social sphere. According to the research results, the growth of the AI market from $ 391 billion in 2024 to a projected $ 1.8 trillion by 2030 confirms the strategic importance of these technologies for competitiveness in the digital economy.

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Economic sectors, statistics, big data, digital transformation, machine learning, predictive analytics, management, planning

Короткий адрес: https://sciup.org/14133884

IDR: 14133884   |   УДК: 339.97:502