Ilacqua, Giacomo (A.A. 2024/2025) Evaluating the effectiveness of artificial intelligence in economic forecasting compared to traditional models: a comparative analysis of predictive accuracy and data analysis capabilities. Tesi di Laurea in Industry dynamics, Luiss Guido Carli, relatore Francesca Lotti, pp. 66. [Master's Degree Thesis]

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Abstract/Index

History and development of traditional models. Evolution of economic forecasting and the emergence of artificial intelligence. Statistical and econometric techniques: methodologies and limitations. The role of industrial dynamics in economic forecasting. Artificial intelligence in economic forecasting. Overview of AI technologies in forecasting. Advantages and opportunities compared to traditional models. Challenges in AI adoption for economic forecasting. Applications and case studies. Innovation, growth and inequality in the AI era. AI in retail: forecasting sales, entry and store risk. AI in finance: predicting firm risk, default and market entry/exit. AI in manufacturing and supply chains. AI in healthcare: forecasting demand and outcomes. AI in education: forecasting enrollment, outcomes and retention. AI in public policy and social forecasting. Comparative model performance. Alternative data sources for forecasting.

References

Bibliografia: pp. 61-66.

Thesis Type:	Master's Degree Thesis
Institution:	Luiss Guido Carli
Degree Program:	Master's Degree Programs > Master's Degree Program in Strategic Management (LM-77)
Chair:	Industry dynamics
Thesis Supervisor:	Lotti, Francesca
Thesis Co-Supervisor:	Pompei, Fabrizio
Academic Year:	2024/2025
Session:	Summer
Deposited by:	Alessandro Perfetti
Date Deposited:	06 Nov 2025 11:07
Last Modified:	06 Nov 2025 11:07
URI:	https://tesi.luiss.it/id/eprint/43672

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