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Integrating Artificial Intelligence (AI) with the Internet of Things (IoT) to so-called AIoT revolutionizes industries by enhancing automation, decision-making, and operational efficiency. This work explores the convergence of AI and IoT, highlighting key benefits such as predictive maintenance, real-time data analysis, improved cybersecurity, and optimized resource management. Despite these advantages, challenges persist, including data privacy risks, security vulnerabilities, and regulatory concerns. Practical applications are examined, including AI-driven autonomous vehicles, cybersecurity solutions, wearable health monitoring, and AI-enhanced imaging for medical diagnostics. The study also contrasts traditional IoT with AI-enabled IoT. This contribution provides insights into the future potential of AI-IoT integration and its transformative impact across sectors.

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Convergence of IoT and AI Technologies Towards Disruptive Business Applications

  • 会议论文

  • 发表日期：

    2025年

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  • Leonid Uryvsky,
  • Serhii Osypchuk,
  • Andriy Luntovskyy

摘要

Integrating Artificial Intelligence (AI) with the Internet of Things (IoT) to so-called AIoT revolutionizes industries by enhancing automation, decision-making, and operational efficiency. This work explores the convergence of AI and IoT, highlighting key benefits such as predictive maintenance, real-time data analysis, improved cybersecurity, and optimized resource management. Despite these advantages, challenges persist, including data privacy risks, security vulnerabilities, and regulatory concerns. Practical applications are examined, including AI-driven autonomous vehicles, cybersecurity solutions, wearable health monitoring, and AI-enhanced imaging for medical diagnostics. The study also contrasts traditional IoT with AI-enabled IoT. This contribution provides insights into the future potential of AI-IoT integration and its transformative impact across sectors.