چکیده مقاله
With Artificial Intelligence AI , digital value chains are being redefined by supporting predictive analytics, smart automation, and real time decision making AI is at the core of optimizing efficiency, accuracy, agility, customer experience and sustainability as organizations transition from linear to matreshka perspectives on their business to data inspired self configuring models In this paper, we conduct a structured review of peer reviewed literature and industry reports from ۲۰۲۳ to ۲۰۲۵ in order to capture the major applications of AI for optimizing digital value chains across domains including manufacturing, logistics, health care and digital commerce The paper also covers the significant bottleneck issues such as data quality, system integration, lack of talent and ethical security governance It does so by ending with a framework for AI adoption and integration as part of the broader landscape of long term strategic support for competitive advantage
کلیدواژهها
نویسندگان
Kimia Karimi
Science and Research Branch, Islamic Azad University
Frozan Danesh
Science and Research Branch, Islamic Azad University
جواد محمدزاده
Department of Computer Engineering, Ka C , Islamic Azad University, Karaj, Iran
شیوه ارجاع
Karimi، Kimia و Danesh، Frozan و Mohammad Zadeh، Javad،1405،From Linear to Intelligent: Redefining Digital Value Chain Optimization through AI،بیست و نهمین کنفرانس ملی علوم و مهندسی کامپیوتر و فناوری اطلاعات،بابل
ارائهشده در
مجموعه مقالات بیست و نهمین کنفرانس ملی علوم و مهندسی کامپیوتر و فناوری اطلاعات27 فروردین 1405 · بابل