Integration of AI and Edge Computing: Exploring the synergy between artificial intelligence and edge computing for enhanced IoT applications

Authors

  • Dr. Jérémy Fix Associate Professor of Human-Computer Interaction, University of Toulouse, France Author

Keywords:

AI, edge computing, IoT

Abstract

The integration of artificial intelligence (AI) and edge computing has emerged as a transformative paradigm for enhancing Internet of Things (IoT) applications. This paper provides a comprehensive overview of the synergy between AI and edge computing, highlighting their combined potential to improve efficiency, reduce latency, and enhance data privacy and security in IoT environments. We discuss key concepts, challenges, and opportunities in integrating AI with edge computing and present case studies and use cases that demonstrate the practical benefits of this integration. Additionally, we analyze the future trends and research directions in this field, outlining strategies to leverage AI and edge computing for developing innovative and sustainable IoT solutions.

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References

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Shahane, Vishal. "Optimizing Cloud Resource Allocation: A Comparative Analysis of AI-Driven Techniques." Advances in Deep Learning Techniques 3.2 (2023): 23-49.

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Tatineni, Sumanth, and Sandeep Chinamanagonda. “Leveraging Artificial Intelligence for Predictive Analytics in DevOps: Enhancing Continuous Integration and Continuous Deployment Pipelines for Optimal Performance”. Journal of Artificial Intelligence Research and Applications, vol. 1, no. 1, Feb. 2021, pp. 103-38, https://aimlstudies.co.uk/index.php/jaira/article/view/104.

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Published

14-06-2023

How to Cite

[1]
Dr. Jérémy Fix, “Integration of AI and Edge Computing: Exploring the synergy between artificial intelligence and edge computing for enhanced IoT applications”, Distrib Learn Broad Appl Sci Res, vol. 9, pp. 253–260, Jun. 2023, Accessed: Nov. 07, 2024. [Online]. Available: https://dlabi.org/index.php/journal/article/view/34

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