Can AI solve the critical issues in the infrastructure industry?

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Can AI solve the critical issues in the infrastructure industry?

A global study by EY and FIDIC explores whether AI can address critical infrastructure challenges. The study highlights the need for a transformation in the infrastructure sector to enhance efficiency and productivity, which has stagnated in recent decades. With significant investments required for sustainable infrastructure, the timing for such a transformation appears crucial.

The study identifies five key areas where AI can drive improvements, including purpose identification and end-to-end process planning. It emphasizes the importance of integrating AI into existing systems to create genuinely transformative solutions rather than merely adopting new technologies. The potential for AI to optimize asset and traffic management is also discussed, showcasing its role in enhancing user safety and operational efficiency.

• AI applications in infrastructure are growing rapidly and offer transformative potential.

• Five key areas for AI development can enhance infrastructure efficiency and safety.

Key AI Terms Mentioned in this Article

Generative AI

Generative AI refers to systems that can create content or solutions based on data inputs, which is crucial for innovative infrastructure applications.

Predictive Analysis

Predictive analysis uses historical and real-time data to forecast future outcomes, enhancing maintenance strategies in infrastructure.

Smart Assets

Smart assets integrate technology to monitor and manage performance, ensuring informed decision-making in infrastructure operations.

Companies Mentioned in this Article

EY

EY is a global consulting firm that focuses on management consulting and technology solutions, playing a pivotal role in the study of AI's impact on infrastructure.

FIDIC

FIDIC is an international federation of consulting engineers that collaborates with EY to explore AI's potential in transforming infrastructure practices.

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