Empowering smart societies: Azure IoT platforms for real-time data analysis and resource optimization

Azure IoT Hub and Azure IoT Central represent transformative platforms that enable organizations to harness the potential of connected devices while addressing challenges of scale, security, and data management. These solutions facilitate real-time device management, secure communication, and advanced analytics across transportation, logistics, and smart city environments. Through simplified deployment models, pre-built templates, and streamlined device integration, these platforms democratize access to enterprise-grade IoT capabilities regardless of technical expertise. Implementation across sectors demonstrates significant improvements in operational efficiency, predictive maintenance, resource optimization, and automated decision-making. The integration of edge-to-cloud architectures with machine learning algorithms creates systems capable of autonomous operation within defined parameters while maintaining appropriate human oversight. These technologies ultimately serve as foundational elements for building more resilient, responsive, and sustainable societies. The integration of Azure Maps with these IoT platforms further enhances these capabilities by providing critical spatial intelligence that places IoT data in geographic context, enabling location-aware applications that optimize operations based on both temporal and spatial factors.

Authors

Publication Details

Journal
World Journal of Advanced Research and Reviews
Published
2025-04-29
DOI
https://doi.org/10.30574/wjarr.2025.26.1.1439
Citations
1
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
1.49
Controls
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article

Empowering smart societies: Azure IoT platforms for real-time data analysis and resource optimization

Venkaiah Chirumavilla
1 citations
World Journal of Advanced Research and Reviews
IoT and Edge/Fog Computing
1.49
article

Empowering smart societies: Azure IoT platforms for real-time data analysis and resource optimization

Venkaiah Chirumavilla
article en
1 citations

Abstract

Azure IoT Hub and Azure IoT Central represent transformative platforms that enable organizations to harness the potential of connected devices while addressing challenges of scale, security, and data management. These solutions facilitate real-time device management, secure communication, and advanced analytics across transportation, logistics, and smart city environments. Through simplified deployment models, pre-built templates, and streamlined device integration, these platforms democratize access to enterprise-grade IoT capabilities regardless of technical expertise. Implementation across sectors demonstrates significant improvements in operational efficiency, predictive maintenance, resource optimization, and automated decision-making. The integration of edge-to-cloud architectures with machine learning algorithms creates systems capable of autonomous operation within defined parameters while maintaining appropriate human oversight. These technologies ultimately serve as foundational elements for building more resilient, responsive, and sustainable societies. The integration of Azure Maps with these IoT platforms further enhances these capabilities by providing critical spatial intelligence that places IoT data in geographic context, enabling location-aware applications that optimize operations based on both temporal and spatial factors.

World Journal of Advanced Research and ReviewsVol. 26(1)
Openalex Percentile: Top 18%
IoT and Edge/Fog Computing
1.49
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Empowering smart societies: Azure IoT platforms for real-time data analysis and resource optimization — Venkaiah Chirumavilla · World Journal of Advanced Research and Reviews (2025) | TGRS Research Map | TGRS