Seyed Taha Hossein Mortaji * - PhD., Industrial Engineering Department, Iran University of Science and Technology, Tehran, Iran.
Soha Shateri - Ph.D. Candidate, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran

This paper explores the intersection of business analytics (BA) and artificial intelligence (AI) and their profound impact on modern enterprises. The integration of advanced analytics techniques and AI algorithms enables organizations to extract valuable insights from vast amounts of data, optimize decision-making processes, and gain a competitive edge in today's data-driven economy. This paper presents an overview of business analytics and AI, their key concepts, methodologies, and applications. Furthermore, it highlights the benefits, challenges, and ethical considerations associated with leveraging these technologies, providing guidance for successful implementation. By harnessing the power of business analytics and AI, organizations can unlock new opportunities for growth, efficiency, and innovation.This paper explores the intersection of business analytics (BA) and artificial intelligence (AI) and their profound impact on modern enterprises. The integration of advanced analytics techniques and AI algorithms enables organizations to extract valuable insights from vast amounts of data, optimize decision-making processes, and gain a competitive edge in today's data-driven economy. This paper presents an overview of business analytics and AI, their key concepts, methodologies, and applications. Furthermore, it highlights the benefits, challenges, and ethical considerations associated with leveraging these technologies, providing guidance for successful implementation. By harnessing the power of business analytics and AI, organizations can unlock new opportunities for growth, efficiency, and innovation.

Business Analytics, Artificial Intelligence, Data-driven Decision Making, Advanced Analytics Techniques, AI Algorithms