Edge AI: Transforming Real-Time Intelligence at the Edge of Innovation

Edge Artificial Intelligence (Edge AI) represents a transformative shift in the way data is processed, analyzed, and acted upon. By combining the capabilities of artificial intelligence with the decentralized architecture of edge computing, Edge AI enables faster decision-making, enhanced data privacy, and improved operational efficiency. This manuscript explores the essential aspects of Edge AI, including its real-time responsiveness, cost efficiency, and sustainability benefits. It also highlights the wide range of industrial applications — from healthcare and manufacturing to autonomous systems — while addressing key challenges such as limited device computing power and integration complexities. As organizations increasingly adopt Edge AI solutions, the technology is paving the way toward a hybrid future where edge and cloud systems coexist, driving innovation, scalability, and intelligence across every connected ecosystem.

Publication Details

Journal
Knowledge Commons (Lakehead University)
Published
2025-11-06
DOI
https://doi.org/10.17613/s7vzc-4zb26
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Edge AI: Transforming Real-Time Intelligence at the Edge of Innovation

Knowledge Commons (Lakehead University)
IoT and Edge/Fog Computing
article

Edge AI: Transforming Real-Time Intelligence at the Edge of Innovation

article en

Abstract

Edge Artificial Intelligence (Edge AI) represents a transformative shift in the way data is processed, analyzed, and acted upon. By combining the capabilities of artificial intelligence with the decentralized architecture of edge computing, Edge AI enables faster decision-making, enhanced data privacy, and improved operational efficiency. This manuscript explores the essential aspects of Edge AI, including its real-time responsiveness, cost efficiency, and sustainability benefits. It also highlights the wide range of industrial applications — from healthcare and manufacturing to autonomous systems — while addressing key challenges such as limited device computing power and integration complexities. As organizations increasingly adopt Edge AI solutions, the technology is paving the way toward a hybrid future where edge and cloud systems coexist, driving innovation, scalability, and intelligence across every connected ecosystem.

Knowledge Commons (Lakehead University)
Industry, innovation and infrastructure
Openalex Percentile: Top 41%
IoT and Edge/Fog Computing
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