@inproceedings{scholars20429,
             doi = {10.1109/ICCE-Taiwan58799.2023.10226787},
            year = {2023},
           pages = {357 -- 358},
       publisher = {Institute of Electrical and Electronics Engineers Inc.},
           title = {Edge Computing and AI for IoT: Opportunities and Challenges},
            note = {Cited by: 7},
        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},
          author = {Heng, Lim Ean and Yuen Chai, Tong and Muniandy, Manoranjitham A. P. and Fui, Tien and Ooi, Boonyaik Yaik and Lin, Jimmin Min},
        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. {\^A}{\copyright} 2023 IEEE.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174898281&doi=10.1109\%2FICCE-Taiwan58799.2023.10226787&partnerID=40&md5=23c9634785969c2a2f1ae0b8a673a870},
            isbn = {9798350324174}
}