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Keywords:

Internet, model, formative, reflective, reliability, validity.

The Convergence of Artificial Intelligence, Cloud Computing, and Edge Computing: Transforming the Tech Landscape

Authors

Vinay Chowdary Manduva1
Department of Computer Science, Missouri State University, Springfield, MO 1

Abstract

The convergence of Artificial Intelligence (AI), Cloud Computing, and Edge Computing is rapidly reshaping the technology landscape, creating innovative solutions across industries. This paper explores the synergistic relationship between these three technologies, highlighting their individual contributions and the transformative impact of their integration. AI, with its ability to analyze and make decisions from vast amounts of data, benefits from the computational power and scalability offered by Cloud Computing, while Edge Computing enables real-time data processing closer to the source, reducing latency and enhancing efficiency. Together, these technologies are driving advancements in fields such as healthcare, automotive, manufacturing, and smart cities, unlocking new business models, improving operational efficiency, and providing real-time decision-making capabilities. However, challenges related to data security, privacy, network reliability, and ethical considerations remain significant barriers to widespread adoption. Looking ahead, the convergence of AI, Cloud, and Edge is poised to continue evolving, influencing future technology trends and shaping the digital transformation across industries. This paper examines the current state of this convergence, its potential applications, and the implications for businesses and society.

Article Details

Published

2020-12-28

Section

Articles

How to Cite

The Convergence of Artificial Intelligence, Cloud Computing, and Edge Computing: Transforming the Tech Landscape. (2020). Research and Analysis Journal, 3(12), 365-391. https://doi.org/10.18535/raj.v3i12.211