Smart Response: Leveraging AI Analytics for Enhanced Disaster Resilience
Year: 2024
Type: article
Abstract: The emergence of artificial intelligence and cloud computing has transformed modern disaster response capabilities, particularly by developing sophisticated real-time analytics systems for natural disaster management. This article examines the integration of AI-powered analytics platforms that synthesize data from multiple sources, including satellite imagery, meteorological stations, and social media streams, to enable rapid response during crises. This article demonstrates that cloud-based real-time analytics substantially enhance early warning systems and optimize resource allocation during disaster events while significantly improving response times compared to traditional methods. However, these technological advances raise important ethical considerations regarding data privacy and equity in access to digital resources. The findings suggest that AI-driven disaster response systems offer unprecedented capabilities in protecting communities. However, their implementation must be guided by robust frameworks that ensure equitable access and maintain privacy standards while maximizing public safety benefits.
Author: Shashank Reddy Beeravelly -
Language: English
Subfield: Transportation
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4404958512