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The global infrastructure demand is staggering, with an estimated $15 trillion needed to meet requirements. Shortages in skilled labor and resources are exacerbating the situation, particularly in the U.S., where critical updates to highways and bridges are overdue. To bridge this gap, organizations are increasingly leveraging AI technologies like machine learning and large language models to enhance efficiency and reduce costs.
The construction sector faces a significant shortfall in engineering talent, projected to worsen by 2031. AI can alleviate some of this burden by automating repetitive tasks, allowing engineers to focus on higher-value work. However, challenges such as AI hallucinations necessitate careful validation of AI-generated recommendations to ensure safety and compliance with engineering standards.
• AI is being utilized to enhance efficiency in infrastructure projects.
• Shortages in engineering talent are driving the adoption of AI solutions.
Machine learning is used to analyze real-time data to improve construction efficiency and reduce waste.
Large language models assist in automating repetitive engineering tasks, freeing up time for engineers.
Digital twins help identify product quality deviations, minimizing waste and optimizing resource use.
Bentley Systems develops software solutions that integrate AI to enhance infrastructure design and management.
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