Building Tomorrow: Unleashing the Potential of Artificial Intelligence in Construction

This book explores the transformative impact of artificial intelligence (AI) on the construction industry, examining its readiness for widespread integration and its potential to reshape various facets of the construction lifecycle. It introduces the concept of a readiness metric tailored to the construction sector, providing a comprehensive framework for assessing and improving AI adoption. The narrative then shifts to the early stages of projects, highlighting the role of AI in promoting sustainability. From leveraging open data for data-driven decisions to using machine learning for strategic decisions in retrofitting and decarbonising the built environment, the book investigates how AI can be a catalyst for positive change in the construction process. It then explores the integration of AI into project and risk management, unlocking the potential of advanced analytics and predictive modelling to streamline processes and improve decision-making, and the application of AI in asset and facility management, highlighting how intelligent technologies can optimise the lifecycle of built assets. Examining the responsible use of AI tools, the book addresses ethical challenges and outlines guidelines for the conscientious and equitable integration of AI into the construction ecosystem. Overall, it serves as a comprehensive guide for industry professionals, researchers, and policymakers, providing insights into the current landscape, the potential of AI, and the ethical considerations necessary for responsible implementation.

Produktdetails

• Autoren: Fulvio Re Cecconi, Ania Khodabakhshian, L Rampini, Luca Rampini
• Verlag: Springer, Berlin
• Inhalt: Buch
• Produktform: Taschenbuch
• Erscheinungsdatum: 03.02.2025
• Thema: Naturwissenschaften, Medizin, Informatik, Technik > Technik > Allgemeines, Lexika
• EAN: 9783031771965
• ISBN: 978-3-0-3177196-5
• Anzahl Seiten: 122
• Illustration: VIII, 122 p. 37 illus., 31 illus. in color.
• Abmessung (Verpackung): 15.5 x 0.7 x 23.5 cm
• Gewicht (Verpackung): 207 g
• Serie: SpringerBriefs in Applied Sciences and Technology; PoliMI SpringerBriefs
• Themen: Künstliche Intelligenz, machine learning, Artificial Intelligence, Bauingenieur-, Vermessungs- und Bauwesen, Bauhandwerk, Facility Management, Computeranwendungen in Industrie und Technologie, risk management, Construction Management, Building Information Modeling, built environment, Data Engineering, Decision Making, AI in the construction industry, construction process, AI for sustainability, Management von Vermögenswerten: Immobilien, Grundstücke und Anlagen