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Building Tomorrow: Unleashing the Potential of Artificial Intelligence in Construction
Details
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.
Advocates for a paradigm shift toward a more efficient, sustainable, and ethical future of the construction industry Demonstrates that AI can support decision- and policy-makers in the construction industry Examines the challenges and opportunities presented by machine learning in the construction process
Inhalt
Is attention all we need.- Is the construction industry ready for AI.- AI for sustainability in the early project stages.- AI for Construction Risk Management.- Computer Vision for Asset and Facility Management.- Industry 5 0 in Construction Towards a More Human Centric and Ethical AI.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783031771965
- Anzahl Seiten 122
- Lesemotiv Verstehen
- Genre Technology
- Herausgeber Springer
- Gewicht 207g
- Untertitel SpringerBriefs in Applied Sciences and Technology - PoliMI SpringerBriefs
- Größe H7mm x B155mm x T235mm
- Jahr 2025
- EAN 9783031771965
- Format Kartonierter Einband
- ISBN 978-3-031-77196-5
- Titel Building Tomorrow: Unleashing the Potential of Artificial Intelligence in Construction
- Autor Fulvio Re Cecconi , Ania Khodabakhshian , Luca Rampini
- Sprache Englisch