%0 Conference Paper
%A Heng, Lim Ean
%A Yuen Chai, Tong
%A Muniandy, Manoranjitham A.P.
%A Fui, Tien
%A Ooi, Boonyaik Yaik
%A Lin, Jimmin Min
%D 2023
%F scholars:20429
%I Institute of Electrical and Electronics Engineers Inc.
%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
%P 357 - 358
%R 10.1109/ICCE-Taiwan58799.2023.10226787
%T Edge Computing and AI for IoT: Opportunities and Challenges
%U https://khub.utp.edu.my/scholars/20429/
%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.
%Z Cited by: 7