IMPROVING THE ANALYSIS AND FORECASTING OF ECONOMIC RISKS IN THE CONDITIONS OF DIGITAL TRANSFORMATION

Asadbek Khaydarov; Boburjon Izbosarov

Authors

Asadbek Khaydarov 3rd year Joint international educational program of Tashkent State Economic University and Ural State Economic University
Boburjon Izbosarov Joint international educational program of Tashkent State Economic University and Ural State Economic University Dean, Doctor of Economics, Professor

Keywords:

Digital transformation, economic risks, big data, artificial intelligence,, blockchain, interdisciplinary collaboration, risk management

Abstract

The digital transformation of economies has introduced new dimensions to economic risk analysis and forecasting. Traditional methods are often insufficient to address risks arising from technological dependencies, data vulnerabilities, and systemic challenges in highly interconnected global systems. This study explores innovative approaches to economic risk management, focusing on the integration of advanced technologies such as artificial intelligence, machine learning, and blockchain. The role of big data in identifying and mitigating risks is highlighted, alongside the importance of interdisciplinary collaboration among economists, data scientists, and policymakers. The paper also examines the implications of digital transformation for governance and policy, emphasizing adaptive frameworks to address emerging challenges. By leveraging technological advancements and fostering cross-sector collaboration, the study aims to provide insights into building resilient economies capable of navigating the complexities of the digital era.

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