Artificial Intelligence in Business Decision Making:Current Applications, Challenges, and Future Perspectives

Abstract

Artificial intelligence is a valuable resource in the business world because of its ability to process large volumes of data, identify trends, forecast, and aid in making faster and more accurate managerial decisions. This research aims to discuss the conceptual framework, the important technologies, the current applications, the benefits of using AI in business decision-making, conditions for application, ethical issues, challenges, and future potential. It brings to the fore the application of machine learning, deep learning, natural language processing, generative AI, predictive and prescriptive analytics, expert systems and intelligent automation in marketing, finance, supply chain management, operations, human resources and strategic planning. The study shows that AI can improve decision-making, increase operational efficiency, control costs, foster innovation, gain customers' understanding, and also enable businesses to stay competitive. However, for it to become a reality, there must be good data infrastructure, organizational preparedness, employee capabilities, leadership commitment, and successful human-AI collaboration. The data privacy and data security concerns are not small issues as well as algorithmic bias, data transparency, data explainability, accountability, employee autonomy and regulations compliance are also significant concerns. The study also highlights the importance of using AI as a tool to assist, not to supplant, human decision-making, especially in complex, ethical, and high-risk scenarios. Looking ahead, we expect to see more adaptive, real-time and generative AI systems taking over, with governance and oversight strengthened.