IoT Integration with AI and Cloud Technologies Enabling Intelligent and Scalable Systems

Authors

  • Madhav Patoliya Student, Atmiya University, Rajkot, India
  • Milan Gohel Student, Atmiya University, Rajkot, India
  • Piyush Kashiyani Student, Atmiya University, Rajkot, India

Keywords:

Internet of Things (IoT), Artificial Intelligence (AI), cloud computing, edge computing, hybrid frameworks, smart system.

Abstract

As a result, in order to produce smart, scaled and efficient systems, this paper reads through the incorporation of cloud-based technologies with Artificial Intelligence (AI) and the Internet of Things (IoT). With the help of a vital literature review mechanism, the study observes the contours that can make the most out of the IoT applications by integrating cloud services, edge computing and artificial intelligence. The results have had positive impacts in healthcare, smart cities and industrial automation, including low delay, scalability in processing, enhanced decision-making and real-time analytics. Nevertheless, it lacks standardised hybrid framework, security risk and lack of a high calculation requirement. The paper proposes to turn off these periods and embark on the IoT-powered smart system with a low-power artificial intelligence model, privacy-protection procedures, and future guidelines revolving around the adaptive orchestration framework.

References

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Published

2025-10-11