Advanced technologies reshape how first responders coordinate during catastrophic events, with mobile platforms, artificial intelligence, and predictive systems enabling faster decision-making and resource deployment across jurisdictions and agencies worldwide.
At a glance: The disaster response technology landscape is experiencing rapid transformation driven by mobile connectivity solutions, industrial artificial intelligence platforms, and predictive forecasting systems. Samsung's mobile technology framework demonstrated critical value during the July 2025 Texas Hill Country floods, one of the deadliest inland floods in U.S. history, which required coordination of 2,000 first responders from more than 30 agencies. Meanwhile, industrial AI applications are shifting disaster response from reactive chaos to orchestrated coordination, with utilities and emergency management agencies piloting technologies that automatically deploy crews and reroute teams in real time. Google has expanded its flash flood forecasting capabilities to 150 countries through its Flood Hub platform, leveraging historical news reports and machine learning models to predict urban flood risks. NEC showcased disaster preparedness solutions at the International Forum 2026 on Fire and Disaster Management in Thailand, introducing flood simulation systems and earthquake early warning technologies developed through Japanese implementation experience. The convergence of these technologies reflects a broader industry recognition that effective disaster response depends on seamless information sharing, resilient communications, and intelligent resource allocation across all operational scales.
Technology advance: Samsung's mobile technology deployment during the Texas floods exemplifies how secure, mobile, and wearable solutions are closing critical interoperability gaps in disaster operations. First responders on the ground utilized mobile devices running the Android Team Awareness Kit (ATAK), which provided real-time data on three-dimensional maps for mobile-enabled situational awareness across jurisdictions and shifts. The ATAK-enabled common operating picture allowed responders to share a single, continuously updated view of flood incidents and operations on a shared map, reducing blind spots during handoffs and multi-agency coordination by leveraging location technology, drone feed integration, and personnel and equipment tracking. Samsung's framework also integrated satellite technology with ATAK to enable emergency messaging and location sharing when cellular networks were destroyed, allowing users with smartphones and tablets to stay connected even when coverage was nonexistent. The rugged, purpose-built mobile devices deployed during the Texas response were designed to withstand prolonged water exposure, extended shifts, and extreme weather, featuring wet touch and glove capability to remain effective in harsh conditions. Additionally, wearables paired seamlessly with ATAK to enable real-time location tracking and health monitoring for responders operating in fast-moving water and unstable terrain, providing an added layer of safety through SOS capabilities and biometric data analysis that helps identify fatigue, heat stress, or medical issues before they escalate.
Partnerships: Industrial AI applications are driving unprecedented collaboration between private and public sector organizations in disaster response coordination. Brian Burdette, head of the emergency response team at SoCalGas, the United States' largest natural gas distribution utility, emphasized that predictive analytics and AI-powered command centers enable rapid crew deployment and rerouting in real time as operational conditions change. These AI systems connect people, parts, and places in the most efficient way possible, automatically deploying teams and rerouting them based on evolving facts during emergency operations. The technology enables technicians to analyze equipment damage based on images or video, identifying problems and receiving guidance through repairs to exact design specifications. Crucially, industrial AI deployment unites disparate utilities in a region through what U.S. firms call "mutual aid," allowing separate systems to communicate and coordinate resource sharing during disasters. This coordination capability addresses a critical gap in traditional emergency response, where crews historically huddle in parking lots awaiting orders while locations and tasks are drawn up with markers and whiteboards, sometimes resulting in teams waiting days for deployment or not being used at all. The integration of AI-powered systems with existing utility infrastructure represents a fundamental shift toward orchestrated, coordinated responses that restore water, power, and communication services significantly faster than conventional methods.
Acquisitions/expansions: NEC's participation in the International Forum 2026 on Fire and Disaster Management in Thailand marks a significant expansion of Japanese disaster preparedness technologies into Southeast Asian markets. The event attracted numerous participants, including government agencies such as Thailand's Department of Disaster Prevention and Mitigation (DDPM) and related organizations involved in disaster preparedness and firefighting, alongside private-sector stakeholders. Twenty-two organizations and companies from Japan participated in the forum, making it a large-scale event focused on strengthening Thailand's disaster resilience. NEC introduced a comprehensive range of solutions developed through Japanese implementation and operational experience, including a flood simulation system, a real-time tsunami inundation damage prediction system, an earthquake early warning system, and a disaster information system. The timing of NEC's technology showcase is particularly relevant given Thailand's recent disaster history, including a large-scale flood that occurred in Hat Yai in November 2025 and an earthquake with its epicenter in Myanmar in March 2025 that caused significant human and material damage in Thailand, including building collapses. Visitors to NEC's exhibition booth expressed strong interest in these solutions, particularly in their proven deployment and operational track records in Japan, and shared high expectations for their potential introduction throughout Thailand and the broader Southeast Asian region.
Regulatory/policy: Artificial intelligence adoption in emergency management has reached a critical inflection point where governance and equitable access are becoming central policy concerns. By 2026, AI systems support damage assessments, call taking, translation, logistics forecasting, and situational awareness across emergency management operations, making work faster and more efficient in many cases. However, the challenge is not the technology itself but rather uneven adoption and unclear governance frameworks. Well-resourced jurisdictions gain AI capabilities that other communities cannot easily replicate, creating disparities in emergency response effectiveness. Additionally, AI outputs can appear authoritative even when they are incomplete or wrong, introducing new blind spots into decision-making processes if used uncritically. The Centre for Disaster Protection is advancing global disaster preparedness and resilience through proactive risk management strategies that emphasize collaboration and equality in technology deployment. These policy considerations underscore the need for coordinated governance approaches that ensure AI-powered disaster response tools are deployed thoughtfully across jurisdictions of varying resource levels, with appropriate oversight mechanisms to prevent the introduction of new vulnerabilities into critical emergency management systems.
Finance/business: Google's expansion of its flash flood forecasting model to 150 countries through the Flood Hub platform represents a significant scaling of AI-driven disaster prediction capabilities for urban areas globally. The platform leverages historical news reports and machine learning models to predict flash flood risks, providing early warning capabilities that enable communities and emergency management agencies to take preventive action before flooding occurs. This expansion reflects the growing recognition that predictive analytics and AI-powered forecasting systems deliver substantial return on investment by enabling proactive resource allocation and reducing response times. The convergence of mobile technology, industrial AI, and predictive forecasting systems is fundamentally reshaping how enterprises and public agencies approach disaster recovery and business continuity planning. By 2026, disaster recovery strategies are being redefined by considerations including AI outages, multi-cloud fragmentation, and rising resilience expectations from stakeholders and communities. Organizations are increasingly recognizing that effective disaster response requires integrated technology stacks combining real-time situational awareness platforms, resilient communications infrastructure, rugged mobile devices, and AI-powered predictive systems. The market opportunity for disaster response and resilience technologies continues to expand as climate change drives increased frequency and severity of natural disasters worldwide, creating sustained demand for innovative solutions that improve coordination, reduce response times, and protect both responder safety and community welfare.
Sources: Samsung, World Economic Forum, NEC, Homeland Security Today, Disaster Recovery Journal, Google
