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Introduction
In today’s fast-paced and ever-changing financial landscape, the use of artificial intelligence (AI) has become increasingly prevalent in making important financial decisions. AI technology has the potential to revolutionize the way in which financial institutions operate, by providing more efficient and accurate decision-making processes. This thesis aims to investigate the use of artificial intelligence in financial decision-making and its impact on the industry.

1.2 Background of Study
This chapter will provide an overview of the history and development of artificial intelligence in the financial sector, highlighting the key advancements and innovations that have shaped the current landscape.

1.3 Problem Statement
This section will identify the key challenges and issues surrounding the use of artificial intelligence in financial decision-making, such as potential biases, regulatory concerns, and ethical dilemmas.

1.4 Objective of Study
The objectives of this thesis are to analyze the current landscape of AI in financial decision-making, evaluate the benefits and drawbacks of its use, and propose recommendations for future implementation.

1.5 Limitation of Study
This chapter will outline the limitations and constraints of the study, such as data availability, technical constraints, and time limitations.

1.6 Scope of Study
This section will define the scope of the study, including the specific areas of focus and the research questions that will be addressed.

1.7 Significance of Study
This chapter will discuss the significance of the research findings and their potential impact on the financial industry, as well as the broader implications for society.

1.8 Structure of the Thesis
This section will provide an overview of the structure of the thesis, outlining the chapters and sections that will be included.

1.9 Definition of Terms
This chapter will define key terms and concepts related to artificial intelligence and financial decision-making, providing a common understanding for the reader.

Chapter Two: Literature Review
– History of AI in Finance
– Benefits of AI in Financial Decision-Making
– Drawbacks of AI in Financial Decision-Making
– Regulatory Framework for AI in Finance
– Ethical Considerations in AI in Finance
– Case Studies of AI Implementation in Financial Institutions
– Future Trends in AI in Finance
– Comparison of Traditional vs. AI Financial Decision-Making
– Impact of AI on Financial Industry Professionals
– Academic Perspective on AI in Finance

Chapter Three: Research Methodology
– Research Design
– Data Collection Methods
– Data Analysis Techniques
– Sampling Strategy
– Ethical Considerations
– Limitations of Methodology
– Validity and Reliability
– Research Justification

Chapter Four: Discussion of Findings
– Analysis of Current AI Implementation in Financial Decision-Making
– Comparison of Findings to Existing Literature
– Implications of Findings for Financial Industry
– Recommendations for Future Implementation
– Areas for Further Research

Chapter Five: Conclusion and Summary
– Summary of Findings
– Contributions to Existing Literature
– Implications for Practice
– Recommendations for Future Research
– Conclusion and Final Thoughts

Thesis Overview: Investigating the Use of Artificial Intelligence in Financial Decision-Making

In recent years, the financial industry has witnessed a rapid adoption of artificial intelligence (AI) technology to aid in decision-making processes. This thesis aims to explore the current landscape of AI in financial decision-making, evaluating its benefits, drawbacks, and implications for the industry. The research methodology will include a comprehensive literature review, analysis of case studies, and interviews with industry professionals. The findings will be discussed in detail, with recommendations for future implementation and areas for further research. Overall, this thesis seeks to contribute to the ongoing dialogue on the use of AI in finance and its potential impact on the industry.

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