Thesis Abstract

Abstract
The advancement of Artificial Intelligence (AI) technology has brought about a significant transformation in various industries, including the realm of business decision-making processes. This thesis investigates the impact of AI on business decision-making processes and aims to provide insights into how organizations can leverage AI to enhance their decision-making capabilities. The study begins by exploring the background of AI and its evolution in business contexts. It identifies the problem statement surrounding the integration of AI in decision-making processes and outlines the objectives of the research to address these challenges. The limitations and scope of the study are also discussed to provide a clear framework for the research. A comprehensive literature review is conducted to analyze existing studies and theories related to AI and its applications in business decision-making. The review covers ten key areas, including the benefits of AI in decision-making, challenges and limitations, ethical considerations, and successful case studies of AI implementation in businesses. By synthesizing this literature, the thesis establishes a foundation for understanding the current landscape of AI in business decision-making processes. The research methodology chapter outlines the approach taken to investigate the impact of AI on business decision-making. The methodology includes data collection methods, sample selection criteria, data analysis techniques, and the research design employed in the study. By detailing these aspects, the thesis aims to ensure the rigor and credibility of the research findings. In the discussion of findings chapter, the thesis presents a detailed analysis of the data gathered through interviews, surveys, and case studies. The findings reveal the various ways in which AI influences business decision-making processes, such as improving accuracy, speed, and efficiency. The chapter also discusses the challenges and limitations associated with the integration of AI, along with recommendations for overcoming these obstacles. Finally, the conclusion and summary chapter provide a synthesis of the key findings and insights obtained from the research. The thesis concludes by highlighting the significance of AI in enhancing business decision-making processes and offers recommendations for organizations looking to implement AI technologies effectively. By shedding light on the impact of AI on business decision-making, this study contributes to the growing body of knowledge in the field of AI and business management. Keywords Artificial Intelligence, Business Decision-Making, Technology, Innovation, Data Analysis, Research Methodology, Literature Review, Impact Analysis, Business Strategy, Ethical Considerations.

Thesis Overview

The project titled "An Analysis of the Impact of Artificial Intelligence on Business Decision-Making Processes" aims to investigate the influence of artificial intelligence (AI) on the decision-making processes within the business sector. With the rapid advancement of AI technologies, organizations are increasingly turning to AI systems to enhance their decision-making capabilities. This research seeks to provide a comprehensive overview of how AI is transforming traditional business decision-making processes and to analyze the implications of this transformation. The study will begin with a thorough examination of the background of AI technology and its evolution over the years. It will delve into the various types of AI applications being used in business settings and explore how they are reshaping decision-making processes. By identifying the key drivers behind the adoption of AI in decision-making, the research aims to provide valuable insights into the strategic implications for organizations. One of the central aspects of this research will be to identify the challenges and opportunities that AI presents for businesses in terms of decision-making. This will involve a critical analysis of the limitations of AI systems, such as bias and lack of transparency, and how these factors can impact the decision-making process. Additionally, the study will highlight the scope of AI implementation in different business functions and industries, shedding light on the potential benefits and risks involved. Through a comprehensive literature review, the project will explore existing studies and frameworks related to AI and decision-making in the business context. By synthesizing current knowledge and identifying gaps in the literature, the research aims to contribute to the existing body of knowledge on this topic. Furthermore, the study will outline a research methodology that includes data collection methods, sample selection, and analysis techniques to investigate the research questions effectively. The findings of this research will be presented in a detailed discussion that examines the implications of AI on business decision-making processes. By analyzing real-world case studies and examples, the study will provide practical insights into how organizations can leverage AI to improve their decision-making capabilities. The discussion will also address the ethical considerations surrounding the use of AI in decision-making and propose recommendations for best practices. In conclusion, this research will offer a comprehensive understanding of the impact of AI on business decision-making processes. By exploring the opportunities and challenges presented by AI technology, the study aims to equip organizations with the knowledge and insights needed to make informed decisions about integrating AI into their decision-making processes. Ultimately, this research seeks to contribute to the ongoing dialogue on the role of AI in shaping the future of business decision-making.