eprintid: 20429
rev_number: 3
eprint_status: archive
userid: 1
dir: disk0/00/02/04/29
datestamp: 2026-01-12 12:18:07
lastmod: 2026-01-12 12:18:07
status_changed: 2026-01-12 12:18:07
type: conference_item
metadata_visibility: show
creators_name: Heng, Lim Ean
creators_name: Yuen Chai, Tong
creators_name: Muniandy, Manoranjitham A.P.
creators_name: Fui, Tien
creators_name: Ooi, Boonyaik Yaik
creators_name: Lin, Jimmin Min
title: Edge Computing and AI for IoT: Opportunities and Challenges
ispublished: pub
keywords: 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
note: Cited by: 7
abstract: 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.
date: 2023
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174898281&doi=10.1109%2FICCE-Taiwan58799.2023.10226787&partnerID=40&md5=23c9634785969c2a2f1ae0b8a673a870
id_number: 10.1109/ICCE-Taiwan58799.2023.10226787
full_text_status: none
pagerange: 357 - 358
refereed: TRUE
isbn: 9798350324174
citation:   Heng, Lim Ean and Yuen Chai, Tong and Muniandy, Manoranjitham A.P. and Fui, Tien and Ooi, Boonyaik Yaik and Lin, Jimmin Min  (2023) Edge Computing and AI for IoT: Opportunities and Challenges.  In: UNSPECIFIED.