Year: 2026
Type: article
Abstract: Artificial Intelligence (AI) has emerged as a transformative force in modern business decision-making, enabling organizations to enhance efficiency, accuracy, and strategic foresight. By leveraging advanced algorithms, machine learning models, and data analytics, AI systems can process vast volumes of structured and unstructured data to generate actionable insights in real time. Businesses utilize AI-driven tools for demand forecasting, customer behavior analysis, risk assessment, and operational optimization, thereby reducing uncertainty and improving decision quality. Moreover, AI facilitates predictive and prescriptive analytics, allowing managers to anticipate market trends and make proactive decisions. It also supports automation in routine decision processes, freeing human resources for more complex and creative tasks. Despite its advantages, the integration of AI presents challenges such as ethical concerns, data privacy issues, and the need for skilled workforce adaptation. Overall, AI significantly enhances decision-making capabilities, providing a competitive advantage and fostering innovation in dynamic business environments.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7217278353
