Ferracioli, Matteo (A.A. 2024/2025) From business operations to smart cities: how artificial intelligence can be leveraged for urban optimisation and monitoring. Tesi di Laurea in Artificial intelligence & digital marketing, Luiss Guido Carli, relatore Máximo Ibarra, pp. 143. [Master's Degree Thesis]

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Abstract/Index

An introduction to AI. What is artificial intelligence? A brief history of artificial intelligence. Current developments: how ai is evolving. Ai across industries: applications and impact. AI for business operations: a foundation for urban innovation. Introduction to artificial intelligence in operations. Fundamentals of ai applied to business management. Generative AI and digital twins. AI applications for real-time decision-making and process optimisation. AI in smart cities: predictive maintenance and transport optimisation. Introduction: the rise of smart cities. Predictive maintenance in urban infrastructure. AI for urban mobility and transport optimisation. Environmental and safety monitoring through AI. Challenges and barriers to AI adoption in smart cities. Case studies: AI implementation in leading smart cities. Background and urban context. Zurich: pioneering energy eviciency and urban mobility. Key learnings and implementation insights. A personal analysis of the inhabitants' considerations. Purpose of the survey. Methodology and sample. Main survey results.

References

Bibliografia: pp. 115-130.

Thesis Type:	Master's Degree Thesis
Institution:	Luiss Guido Carli
Degree Program:	Master's Degree Programs > Master's Degree Program in Management, English language (LM-77)
Chair:	Artificial intelligence & digital marketing
Thesis Supervisor:	Ibarra, Máximo
Thesis Co-Supervisor:	Laura, Luigi
Academic Year:	2024/2025
Session:	Summer
Deposited by:	Alessandro Perfetti
Date Deposited:	11 Sep 2025 10:48
Last Modified:	11 Sep 2025 10:48
URI:	https://tesi.luiss.it/id/eprint/43140

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