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Table of Contents:

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

Chapter 2: Literature Review
2.1 Overview of Edge AI in IoT Devices
2.2 Benefits and Challenges of Using Edge AI in IoT Devices
2.3 Previous Studies on Strategic Use of Edge AI in IoT Devices

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Participants and Sampling
3.5 Ethical Considerations

Chapter 4: Discussion of Findings
4.1 Analysis of Data
4.2 Comparison with Previous Studies
4.3 Implications for Practice
4.4 Recommendations for Future Research

Chapter 5: Conclusion and Summary
5.1 Summary of Key Findings
5.2 Contributions to the Field
5.3 Practical Implications
5.4 Suggestions for Further Research
5.5 Conclusion

Brief Overview:

The strategic use of edge AI in IoT devices is an emerging trend in the field of technology. Edge AI refers to the utilization of artificial intelligence algorithms and models on edge computing devices, such as IoT devices, to process data and make decisions locally, without the need to send data to a centralized cloud server. This approach offers several benefits, including improved response times, reduced bandwidth usage, and increased data privacy and security.

In this final year project, we will conduct a comprehensive study on the strategic use of edge AI in IoT devices. The research will include a literature review to explore the current state of the art, as well as a research methodology section outlining the data collection and analysis techniques that will be employed. The findings of the study will be discussed, and implications for practice and recommendations for future research will be provided.

Overall, this project aims to contribute to the existing body of knowledge on edge AI in IoT devices and provide insights into the strategic use of this technology. By understanding the potential benefits and challenges associated with implementing edge AI in IoT devices, organizations can make informed decisions about how to leverage this technology to improve their operations and services.

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