How AI Is Improving Emergency Responses To Extreme Weather
What You'll Learn
- How AI can help agencies analyze incoming information, prioritize incidents and deploy response crews more efficiently during emergencies.
- Why AI works best as a decision-support tool, helping personnel process large volumes of data while keeping experienced professionals in control.
- How predictive analytics can help transportation agencies anticipate severe weather impacts, stage equipment and prepare crews before disasters occur.
- How AI can help address workforce shortages by automating repetitive tasks and reducing administrative burdens on agency staff.
In Episode 18 of the Infrastructure Technology Podcast, Mass Transit magazine Associate Editor Brandon Lewis and Roads and Bridges Staff Writer Jessica Parks play a true or false game based on questions from Mass Transit’s weekly news quiz. Parks then interviews FYLD CEO and Co-founder Shelley Copsey to discuss how artificial intelligence (AI) is reshaping emergency response and infrastructure management across the transportation industry. As extreme weather events become more frequent and severe, Shelley explains how AI-powered platforms can help agencies process large volumes of information in real time, prioritize incidents and deploy crews more efficiently.
Featured Guest
Shelley Copsey, CEO and Co-Founder of FYLD
Shelley Copsey is the co-founder and CEO of FYLD, the AI-powered operating system for high-risk fieldwork. Under her leadership, FYLD has become a trusted partner to global infrastructure, utility, energy, and construction organizations, helping frontline teams and managers reduce risk, improve productivity, and deliver more predictable outcomes through real-time field intelligence. Shelley has dedicated her career to solving complex operational challenges across critical infrastructure.
Inside the Episode
Episode Length: 35:05
Timestamps:
- 1:30 — Mass Transit News Quiz True or False
- 15:30 — Roads & Bridges Interview
- 30:39 — Interview Takeaways
Useful Links
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