limitedDistribution · Industry Research
Technology for Disaster Risk Reduction
The document explores AI technologies in Disaster Risk Reduction, focusing on generative and agentic AI's role in processing unstructured data for improved disaster response.

Stargo's Stardox can enhance disaster response by transforming unstructured data into actionable insights, aligning with AI's role in DRR.
Executive Summary
The document explores the application of AI technologies, including generative AI (GAI) and agentic AI (AAI), in the field of Disaster Risk Reduction (DRR). It discusses how these technologies can enhance the efficiency and effectiveness of DRR efforts by processing unstructured and semi-structured data. The integration of AI in DRR is seen as a continuation of technological advancements that can significantly improve disaster preparedness and response. The document highlights the potential of AI to transform data into actionable insights, thereby supporting decision-making processes in critical situations.
Source: www.undrr.org
Original Article: https://www.undrr.org/media/108178/download
See ROI in 12 weeks
Stargo users see measurable return and operational profitability gains in just 12 weeks, with non-disruptive implementation in 4 weeks or less.