Artificial Intelligence in the loT-based Smart Economy

  • سال انتشار: 1404
  • محل انتشار: چهارمین کنگره بین المللی مدیریت، اقتصاد، علوم انسانی و توسعه کسب و کار
  • کد COI اختصاصی: ICMBA04_1103
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 91
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نویسندگان

Sepehr Ghasemlou

Undergraduate Student, Department of Engineering and Materials Science, Urmia University, Urmia, Iran

چکیده

The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) has ushered in a transformative era for the smart economy, characterized by enhanced efficiency, automation, and sustainability. This paper explores the synergistic role of Al and loT in optimizing economic processes across sectors such as supply chain management, smart cities, agriculture, and personalized services. IoT facilitates real-time data collection and connectivity, while Al enables intelligent analysis and decision-making, driving data-driven innovation and resource optimization. Key applications include predictive maintenance, demand forecasting, and urban resource management, which enhance productivity and reduce costs. However, challenges such as data security, privacy concerns, scalability, and socio-economic barriers must be addressed to fully realize their potential. Case studies, including Blue River Technology's precision agriculture and DHL's smart logistics, illustrate successful implementations. Looking ahead, emerging technologies like edge computing and ۶G networks will further advance the smart economy, fostering a data-driven, automated, and sustainable future. This study provides recommendations for policymakers, businesses, and researchers to overcome challenges and leverage Al and loT for inclusive economic growth.

کلیدواژه ها

Smart Economy, Internet of Things (IoT), Artificial Intelligence (AI), Data-Driven Decision-Making, Automation, Sustainability

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