AI in Infrastructure: Smart Foundations for Growth

AI in Infrastructure explores how artificial intelligence is transforming smart infrastructure systems across energy, transportation, water, and public utilities. The book explains how machine learning, predictive analytics, and intelligent control systems enable infrastructure to monitor itself, anticipate failures, and optimize performance in real time.
Written for engineering students, researchers, and infrastructure professionals, it focuses on practical implementation rather than theory alone. Real-world use cases demonstrate how AI improves reliability, efficiency, and resilience in large-scale systems.
Key areas covered include:
• Predictive maintenance of infrastructure assets
• AI-based monitoring and fault detection
• Intelligent control of energy and utility networks
• Computer vision for inspection and safety
• Engineering challenges in reliability and ethics
AI in Infrastructure shows how smart infrastructure is evolving from reactive systems to intelligent, self-improving networks.
Infrastructure no longer just supports society—
with AI, it learns and adapts.