# Edge Computing Technologies can Accelerate Response Times in Urban Crises

By Dustin Seetoo · Published 2024-04-22 · Updated 2026-03-26 · Engineering & Construction on MarketScale
Canonical: https://www.marketscale.com/industries/engineering-and-construction/edge-ai-is-revolutionizing-disaster-recovery-with-speed-and-precision

> Localized data processing enables emergency responders to make split-second decisions that could mean the difference between life and death during urban disaste

## Key points

- Localized data processing enables emergency responders to make split-second decisions that could mean the difference between life and death during urban disaste

Block Field

Recent advancements are demonstrating profound impacts on urban resilience and disaster management in the evolving landscape of smart city technologies. Among these, Virginia Beach's flood resiliency program, an [IDC Smart Cities North America Award](https://www.idc.com/research/industry/smart-cities-awards?origin=old-insights-scnaa) winner, utilizes innovative edge computing technologies to manage flood risks effectively. This project is a prime example of how edge computing facilitates faster, localized decision-making by processing data close to its source, enhancing emergency responses and conservation efforts.

How critical is speed and latency reduction in the deployment of edge computing for effective disaster management in smart cities?

[**Dustin Seetoo**](https://www.linkedin.com/in/dustin-seetoo-premioinc/), the Director of Product Marketing at [**Premio Inc**](https://premioinc.com/), shares his insights on the crucial specifications edge computing technologies must fulfill to enhance smart city applications effectively. Drawing from his extensive experience in rugged edge computing solutions, he underscores the importance of rapid and reliable data processing for real-time urban operations.

"You're able to move this model now into a real-world application that's defined in inference, where the decision-making needs to be extremely fast and there should not be any latency," Seetoo said.

> The decision-making needs to be extremely fast and there should not be any latency.
> *— Dustin Seetoo, Director of Product Marketing at Premio Inc*

Tags: Dustin Seetoo, edge computing, FloodVISION-AI, IDC, Premio Inc, Virginia Beach

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