Applications and Challenges of Artificial Intelligence in Business Decision Making

Business decision-making is fundamentally reliant on data, and the rapid increase in data volume has led to a growing demand for advanced data analytics technologies to support intelligent decision-making. This paper utilizes the Baidu Index platform to gather data on the keyword "artificial intelligence" and conducts a comprehensive analysis of this information. Through case studies, the paper explores current applications of artificial intelligence in business decision-making, emphasizing the benefits such as improved data analysis and predictive modeling, optimized supply chains, and enhanced risk management. Specifically, AI dramatically improves the accuracy and efficiency of predictive modelling by integrating and processing large-scale unstructured data, helping companies adjust their business strategies in real time. However, the study also points out that in practical application, enterprises face a number of challenges, including data privacy and security risks, algorithmic bias and ethical issues. These issues may pose obstacles to the effective implementation of AI and public trust. It further discusses the need for businesses to develop strategies to mitigate these risks while fully leveraging AIs potential to enhance decision-making processes and maintain a competitive edge in the market.