Artificial Intelligence in Robotics Process Automation (RPA) – Complete Phd and Masters Thesis

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Table of Contents

Chapter 1: Introduction
1.1 Background of the Study
1.2 Research Problem
1.3 Research Questions
1.4 Objectives of the Study
1.5 Significance of the Study
1.6 Limitations of the Study
1.7 Scope of the Study

Chapter 2: Literature Review
2.1 Introduction to Artificial Intelligence
2.2 Robotics Process Automation (RPA)
2.3 Integration of AI in RPA
2.4 Benefits of AI in RPA
2.5 Challenges of Implementing AI in RPA

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Sample Population
3.5 Ethical Considerations

Chapter 4: Discussion of Findings
4.1 Overview of Findings
4.2 Comparison of Findings with Existing Literature
4.3 Implications of Findings
4.4 Recommendations for Future Research

Chapter 5: Conclusion and Summary
5.1 Summary of Key Findings
5.2 Conclusions
5.3 Contributions of the Study
5.4 Recommendations for Practitioners
5.5 Recommendations for Future Research

Brief Overview of Thesis: Artificial Intelligence in Robotics Process Automation (RPA)

Artificial Intelligence (AI) has revolutionized the way businesses operate, and Robotics Process Automation (RPA) is one of the key areas where AI is making a significant impact. This thesis aims to explore the integration of AI in RPA and its implications for businesses.

The Introduction provides the background of the study, research problem, objectives, significance, limitations, and scope of the study. The Literature Review covers key concepts of AI, RPA, and the benefits and challenges of integrating AI in RPA.

The Research Methodology discusses the research design, data collection methods, analysis techniques, sample population, and ethical considerations. The Discussion of Findings chapter presents the research findings, their implications, and recommendations for future research.

The Conclusion and Summary chapter summarizes the key findings, conclusions, contributions of the study, recommendations for practitioners, and future research directions. Overall, this thesis aims to provide valuable insights into the role of AI in RPA and its potential to transform business processes.

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