AI at the Edge: Use Cases, Requirements, and Challenges

IEEE Internet of Things Magazine 2026

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Authors: Sayed Chhattan Shah, Beth Cohen, Ildiko Vancsa, Rajat Kandoi, Julian Thomas, G. Chrysos, Sotiris Ioannidis, Rob Hirschfeld, Mahadev Satyanarayanan, Moshe Shadmon, Nenad Gligorić, David Solans
+2 more María Paula Delgado, Flavio Esposito
DOI: 10.1109/miot.2025.3644133
Cited by: 1
References: 7

Abstract

Edge computing supports a wide range of real-time use cases across diverse domains. However, the rapid emergence of Artificial Intelligence (AI) use cases such as smart aging and intelligent video surveillance is introducing complex requirements that existing edge architectures are not designed to handle. Addressing these requirements requires a comprehensive rethink of how edge infrastructure is delivered. This article highlights emerging AI use cases and outlines the architectural and operational requirements and challenges that must be addressed to enable the effective deployment of next-generation AI at the edge.

Fields of Study & Subjects

IoT and Edge/Fog Computing Context-Aware Activity Recognition Systems Advanced Neural Network Applications

Publication details

Journal / source
IEEE Internet of Things Magazine
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
9
Issue
2
Pages
49–56
Publication date
12 January 2026