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AI-driven transformation: From economic forecasting to strategic management

Shirui Li,Jiani Chen,3 Authors,Wenchong He

2024 · DOI: 10.54254/2755-2721/57/20241319
Applied and Computational Engineering · 1 Citations

TLDR

This comprehensive paper explores the multifaceted applications of AI in diverse domains, ranging from economic forecasting and financial markets to accounting, auditing, strategic management, and crisis management, uncovering how AI technologies are driving efficiencies, improving predictions, enhancing decision-making, and fostering innovation across these sectors.

Abstract

The convergence of Artificial Intelligence (AI) technologies and various sectors within the global economy has brought forth transformative changes, shaping decision-making processes, financial practices, and economic forecasting. This comprehensive paper explores the multifaceted applications of AI in diverse domains, ranging from economic forecasting and financial markets to accounting, auditing, strategic management, and crisis management. Through empirical analysis, case studies, and scholarly insights, we uncover how AI technologies are driving efficiencies, improving predictions, enhancing decision-making, and fostering innovation across these sectors. This study offers valuable academic contributions by delving into the specific methodologies, real-world examples, and impact assessments of AI adoption, shedding light on its implications for practitioners, policymakers, and researchers.