Downsides of Smartness Across Edge-Cloud Continuum in Modern Industry
The fast pace of modern AI is rapidly transforming traditional industrial systems into vast, intelligent and potentially unmanned autonomous operational environments driven by AI-based solutions. These solutions leverage various forms of machine learning, reinforcement learning, and generative AI. The introduction of such smart capabilities has pushed the envelope in multiple industrial domains, enabling predictive maintenance, optimized performance, and streamlined workflows. These solutions are often deployed across the Industrial Internet of Things (IIoT) and supported by the Edge-Fog-Cloud computing continuum to enable urgent (i.e., real-time or near real-time) decision-making. Despit...
| Authors | Akhil Gupta Chigullapally, Sharvan Vittala, Razin Farhan Hussian et al. |
|---|---|
| Primary category | cs.CR |
| Published | 31 March 2026 |
| Last updated at source | 31 March 2026 |
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