Abstract
Artificial Intelligence (AI) combined with the Industrial Internet of Things (IIoT) is driving changes in manufacturing, supply chains, and resource efficiency. AI technologies analyze live network data in industrial environments for predicting equipment failures, optimizing processes autonomously, and enhancing product standards. Drawing from recent industry practices and worldwide examples, the document identifies significant technical hurdles involving data amalgamation, cyber security concerns, and computational capacity limitations. AI-powered IIoT systems examine their economic and operational impacts, discovering new chances and enduring challenges in industrial environments. Continued innovation in AI and IIoT integration will lead to sustainable growth and operational excellence in future smart industries.
Keywords
IIOT, AI, Edge computing, ESP32
Citations
IRE Journals:
Sandeep Ramesh Sonaskar , Mohini Suresh Fulzele , Neema Amish Ukani
"Artificial Intelligence in Industrial IoT: Applications and Case Studies" Iconic Research And Engineering Journals Volume 9 Issue 3 2025 Page 889-892
IEEE:
Sandeep Ramesh Sonaskar , Mohini Suresh Fulzele , Neema Amish Ukani
"Artificial Intelligence in Industrial IoT: Applications and Case Studies" Iconic Research And Engineering Journals, 9(3)
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IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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