Role of Artificial Intelligence in IoT

Authors

  • Jyoti Bolannavar Department of Computer Science, Karnataka State Open University, Mysore, Karnataka, India Author
  • Dr. Sumati Ramakrishna Gowda Department of Computer Science, Karnataka State Open University, Mysore, Karnataka, India Author

DOI:

https://doi.org/10.32628/CSEIT24106179

Keywords:

AI, IoT, AIoT, Predictive, Decision Making

Abstract

Artificial Intelligence (AI) and the Internet of Things (IoT) are two revolutionary technologies shaping modern industries. AI enables machines to learn from data and make autonomous decisions, while IoT connects devices, allowing them to communicate and exchange information. The convergence of these technologies, known as AIoT (Artificial Intelligence of Things), has immense potential to transform daily life and business operations. AI enhances IoT by adding intelligence to device networks, improving efficiency and automating processes. For example, AI-powered IoT systems can perform predictive maintenance in industrial settings, preventing costly machine failures. In smart buildings, AI can optimize energy usage, reducing both costs and environmental impact. However, integrating AI with IoT poses significant challenges. One major issue is the vast amount of data generated by IoT devices, which AI requires to function effectively. Managing this data efficiently is critical. Additionally, IoT devices are vulnerable to cyber-attacks, making security a key concern. Protecting these systems from potential threats is essential to safely realize the benefits of AIoT. Despite these challenges, the combination of AI and IoT promises to drive future advancements across industries, enabling smarter, more connected systems that optimize decision-making, reduce costs, and improve overall efficiency.

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Published

08-11-2024

Issue

Section

Research Articles

How to Cite

[1]
Jyoti Bolannavar and Dr. Sumati Ramakrishna Gowda, “Role of Artificial Intelligence in IoT”, Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol, vol. 10, no. 6, pp. 271–278, Nov. 2024, doi: 10.32628/CSEIT24106179.

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