AI in Data-Driven Decision Making, Organizational Change, and Ethical Considerations in Business Strategy

AI Business Strategy Organizational Change Data-Driven Decision Making

Authors

  • Avesta Shahbazi MSc Student Data Analysis, De Montfort University, United Kingdom
  • Mahdi Jafari MSc Analytics Information Management, Palumbo-Donahue, School of Business, Duquesne University, United States
  • Mohammed Kawsar MSc Analytics Information Management, Palumbo-Donahue, School of Business, Duquesne University, United States
  • Sodaif Janani Information Technology (IT) Manager of Salamat Protein Iranian, Iran, Islamic Republic of
  • Samir Nadra MSc Analytics Information Management, Palumbo-Donahue, School of Business, Duquesne University, United States

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The report examines how Artificial Intelligence (AI) has revolutionised learning and competence building around programming skills, especially how it is being used in individualised learning, AI-based educational portals and the development of programming abilities. Online learning platforms such as Coursera, edX, and AI-based tutoring systems have now integrated AI to give personalised suggestions, monitor progress and offer immediate feedback. Intelligent machines such as GitHub Copilot and Replit are also transforming the way people learn to program as they help in generating code, debugging errors, and provide real-time instruction. Another finding of the report is the impact of AI on the kind of competencies needed in the technology sector. The ever-growing need to be AI-friendly among programmers has increased as AI tools become a major asset in most industries. Nevertheless, in spite of its positive aspects, the report also considers some of the central challenges surrounding the implementation of AI in education. Also, the ethically problematic aspect of AI in education includes issues concerning the privacy of data, biases of algorithms, and transparency. At its conclusion, the report makes several recommendations to educational institutions, businesses, and policymakers to prioritise the ethical use of AI, encourage fair access to AI tools, and invest in the education of educators and workers to best use AI technologies.

How to Cite

AI in Data-Driven Decision Making, Organizational Change, and Ethical Considerations in Business Strategy. (2026). International Journal of Advanced Business Studies, 5(1), 1-20. https://doi.org/10.59857/wpgh3w33