limitedDistribution · Industry Research
Edge AI for Smart Cities: Foundations, Challenges, and ...
The article discusses edge AI in smart cities, focusing on data processing and real-time decision-making to transform unstructured data into actionable insights.
Stargo's Stardox platform can enhance smart city efficiency by transforming unstructured data into actionable insights, as highlighted in the article.
Executive Summary
This survey provides a systematic overview of the layer-wise design of edge AI-enabled smart cities, and four core components supporting the systems. It discusses the integration of AI technologies in urban environments to enhance efficiency and sustainability. The article highlights the challenges and opportunities in deploying edge AI, focusing on data processing, security, and real-time decision-making. It emphasizes the role of AI in transforming unstructured data into actionable insights, which is crucial for smart city applications. The survey also explores the potential of AI to improve urban living conditions by optimizing resource management and reducing environmental impact.
Source: www.mdpi.com
Original Article: https://www.mdpi.com/2624-6511/8/6/211
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