** Hawaii’s Use of AI for Climate Resilience **

GNAI Visual Synopsis: ** A visual of Hawaii’s coastline with data points and predictive models overlaying the landscape, illustrating the use of AI in predicting climate impacts.

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One-Sentence Summary
** Hawaii’s Department of Transportation employs AI and analytics to bolster climate resilience, improve operations, and ensure community safety, as discussed in a panel produced by Scoop News Group for StateScoop, underwritten by Google for Government.

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Key Points

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• 1. Hawaii’s Department of Transportation uses AI and analytics tools to improve operations and maintenance plans and incorporate climate prediction models in their planning documents to better serve communities.
• 2. The DOT’s Climate Adaptation Action Plan considers eight impacts on the system to drive future planning goals, addressing challenges such as ocean surge and wildfire disasters, aided by a generative AI system that adapts to changing priorities.
• 3. Google Cloud provides a “Data Hub” for visibility of diverse data sets, offering about 120 data sets in collaboration with States, including Google Earth Engine data, Google Maps data, Waze data, and public data sets such as equity and health data, enabling correlations for better decision-making.
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Key Insight
** The adoption of AI and analytics tools not only helps Hawaii DOT streamline decision-making, workload priorities, and address climate challenges but also highlights the potential for technology to play a crucial role in disaster preparedness, community safety, and infrastructure planning, fostering an interconnected approach between state agencies and technology firms.

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Why This Matters
** The integration of AI in state agencies’ operations reflects a pivotal shift towards leveraging technology for climate resilience and community safety. This initiative underscores the importance of collaborative efforts between public institutions and tech companies in addressing climate challenges and optimizing resource management.

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Notable Quote
** “Ten years from now, 20 years from now, we should be able to predict how things change and how that can impact the way people live in this area.” – Daniel Liu, Google Cloud Enterprise Architect

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