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Transformative AI Applications in Business Decision-Making: Advancing Data-Driven Strategies and Organizational Intelligence
Abstract
This chapter examines AI's transformative role in business decision-making within modern management science. It traces AI's evolution from rule-based systems to advanced machine learning algorithms. The study explores vital AI applications in decision-making, including data analytics, predictive modeling, and natural language processing, with industry examples. Ethical considerations and challenges of AI implementation, such as algorithmic bias and data privacy, are analyzed. The chapter addresses integrating AI into business processes, focusing on organizational readiness and change management. It emphasizes collaboration between business leaders, AI experts, and IT teams. Future AI trends and their impact on strategic planning are explored, highlighting human-AI collaboration. The study balances leveraging AI capabilities with maintaining human judgment, emphasizing responsible AI adoption. This analysis provides insights for business leaders, researchers, and policymakers navigating the AI-driven future of business decision-making.
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