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Introduction

In today’s competitive business environment, organizations are constantly seeking ways to gain a competitive edge and optimize their human capital management strategies. One of the emerging technologies that has the potential to revolutionize talent management is Artificial Intelligence (AI) in Predictive Analytics. By leveraging AI algorithms and predictive analytics tools, organizations can make more informed decisions when it comes to recruiting, developing, and retaining top talent.

Chapter 1: Introduction
1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter 2: Literature Review
2.1 Overview of Talent Management
2.2 Evolution of Predictive Analytics
2.3 Role of AI in Talent Management
2.4 Predictive Analytics Tools in Talent Management
2.5 Benefits of AI in Predictive Analytics for Talent Management
2.6 Challenges of Implementing AI in Talent Management
2.7 Best Practices in AI Adoption for Talent Management
2.8 Case Studies of AI Implementation in Talent Management
2.9 Ethical Considerations in AI-driven Talent Management
2.10 Future Trends in AI for Talent Management

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Sampling Strategy
3.5 Research Instruments
3.6 Ethical Considerations
3.7 Data Validation
3.8 Limitations of the Study

Chapter 4: Discussion of Findings
4.1 Analysis of Predictive Analytics Tools in Talent Management
4.2 Impact of AI on Recruitment and Selection Processes
4.3 AI-driven Performance Management Systems
4.4 Employee Development and Training using AI
4.5 Retention Strategies with AI
4.6 Case Studies on Successful Implementation of AI in Talent Management
4.7 Challenges and Limitations of AI in Talent Management
4.8 Recommendations for Future Research

Chapter 5: Conclusion and Summary
5.1 Summary of Key Findings
5.2 Conclusions
5.3 Practical Implications
5.4 Theoretical Implications
5.5 Recommendations for Organizations
5.6 Suggestions for Future Research

Thesis Overview on AI in Predictive Analytics for Talent Management

The use of AI in predictive analytics for talent management is a growing trend in the business world. This thesis aims to explore the benefits, challenges, and best practices of implementing AI in talent management processes. The literature review will provide an overview of talent management, the evolution of predictive analytics, and the role of AI in talent management. The research methodology will outline the approach taken to collect and analyze data for this study.

The discussion of findings will analyze the impact of AI on recruitment, selection, performance management, employee development, and retention strategies. Case studies will be used to illustrate successful AI implementations in talent management, while also addressing the challenges and limitations of AI technology. The conclusion will summarize key findings, draw conclusions, and provide practical and theoretical implications for organizations. Recommendations for future research will also be included to guide future studies in this area.

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