%L scholars20429
%O Cited by: 7
%D 2023
%R 10.1109/ICCE-Taiwan58799.2023.10226787
%X The proliferation of Internet of Things (IoT) devices has led to an exponential growth in data generated at the edge of the network. Edge computing, a distributed computing paradigm that enables computation and data storage at the network edge, has emerged as a promising solution for managing this data deluge. With the integration of Artificial Intelligence (AI) technologies, edge computing can provide real-time insights and decision-making capabilities, making it a powerful tool for a variety of IoT applications which poses both opportunities and challenges. © 2023 IEEE.
%P 357 - 358
%T Edge Computing and AI for IoT: Opportunities and Challenges
%A Lim Ean Heng
%A Tong Yuen Chai
%A Manoranjitham A.P. Muniandy
%A Tien Fui
%A Boonyaik Yaik Ooi
%A Jimmin Min Lin
%K Decision making; Digital storage; Internet of things; Artificial intelligence technologies; Computing paradigm; Data storage; Decisions makings; Edge computing; Exponential growth; Network edges; Real- time; Technology EDGE
%I Institute of Electrical and Electronics Engineers Inc.