Climate Armor: AI Analytics to Protect Infrastructure from Climate Shocks
Exploring the AI-driven RiskTech solutions helping asset owners forecast, prepare, and thrive amid climate shocks.
Description
As climate shocks grow more frequent and severe, the resilience of physical infrastructure has become a board-level concern. Traditional risk models built on historical averages and static assumptions can’t keep pace with extreme weather volatility. Asset owners, insurers, utilities, and governments are now turning to AI-driven analytics, satellite intelligence, and digital twins to predict threats before they happen. The next generation of RiskTech is no longer reactive; it's proactive, real-time, and asset-level precise.
Background
Building climate-resilient infrastructure has become an urgent global priority as extreme weather events grow in frequency, severity, and unpredictability. Traditional risk models—primarily based on historical averages—are no longer sufficient for anticipating the impacts of climate-driven hazards such as floods, wildfires, hurricanes, and heatwaves. These outdated methods struggle to capture the …
Date: 2025-11-18
Time (ET): 7:00 PM EST, Nov 18, 2025
Time (Local): 12:00 AM UTC, Nov 19, 2025
Location: online
Speakers
Federico d'Albenzio
Senior Business Developer, Eoliann
Saif Bhatti
Founder & CEO, Renoster
Guided Questions
Federico d'Albenzio
With your background in machine learning applications for climate risk, how do you see predictive models transforming infrastructure planning over the next decade? Specifically, how can AI-driven scenario simulations help governments and asset managers prioritize adaptation investments and reduce long-term exposure to extreme weather events?
Saif Bhatti
As someone who’s navigated both the corporate and entrepreneurial sides of sustainability, what lessons can RiskTech founders learn from carbon accounting systems about ensuring credibility, transparency, and scalability in AI-driven resilience tools?