Enhance Community Resilience With AI

Since the passage of the Infrastructure Investment and Jobs Act and active programs by several federal agencies, unprecedented funding has catalyzed a surge in risk mitigation under changing physical, social, and cyber conditions. Digital innovations, such as artificial intelligence (AI) and machine learning (ML), are key tools to predict community outcomes in a dynamic technical, political, and environmental landscape.

With over three decades of experience, APTIM is poised to collaborate with you to assess, address, and adapt to environmental and climate-related threats, leveraging cutting-edge technologies and innovative methodologies.

A New Algorithm for Risk Mitigation

In the US, resilience efforts shifted from concentrations on erosive soil in the southern plains; wildfires in the west; and flood control along the Mississippi River, Tennessee River, and Everglades to preventing infrastructure failures nationwide. As urban areas became more densely populated, improving building codes, design standards, and material quality and supply chain resilience emerged as necessary measures for community protection. Even more recently, cultural and social movements have highlighted disparities in disaster impacts and community distress, resulting in a renewed emphasis on inclusive risk mitigation.

Long-term risk reduction strategies that account for all these complexities and prioritize risks based on the likelihood and severity of potential impacts are needed. However, traditional methods fall short.

Evolving Solutions Using AI & ML

Resilience entails a continual process of learning, adaptation, and innovation in response to evolving risks and challenges. For instance, integrating transportation, communication, utility, and flood control infrastructure with the internet is an important advancement for resilience, but it also raises a concern for cybersecurity.

To mitigate cybersecurity threats, risk mitigation for flood control systems with remote monitoring or controls should consider: network segmentation, encryption, access controls, intrusion detection systems, regular security updates, an auditing program, and employee training for response. Each of these measures expand the typical scope of work for design engineers and project planners and open the floodgates to further potential risks.

Acknowledging the far-reaching and systemic nature of these efforts, AI presents an opportunity to increase efficiencies and effectiveness by:

ML algorithms can also be used to identify patterns, correlations, and risk factors to inform proactive strategies. The use cases for both these technologies are rapidly evolving and expanding as leading organizations begin to uncover their potential.

Optimize Your Community’s Resilience with APTIM

APTIM has overseen the construction of some of the nation’s largest and most comprehensive mitigation projects. Our strategy involves harnessing extensive datasets to identify trends, gaps, and evolving needs, while drawing upon interdisciplinary expertise in disaster recovery and resilience planning to minimize risk.

With our advanced technical resources and nuanced understanding of governmental and industrial challenges, APTIM delivers tailored risk management solutions that align with organizational objectives; adapt to policy shifts; and ensure regulatory compliance, efficiency, and project success.

Connect with our Resilience & Infrastructure Solutions group to learn more about opportunities to protect your community and take advantage of efficiencies in artificial intelligence and machine learning.