Artificial Intelligence and Beyond for Finance

Marco Corazza, René Garcia, Faisal Shah Khan, Davide La Torre and Hatem Masri
Additional contact information
Marco Corazza: University of Ca’ Foscari [Venice, Italy]
René Garcia: TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, UQAM - Université du Québec à Montréal = University of Québec in Montréal
Faisal Shah Khan: SKEMA Business School Raleigh, USA
Davide La Torre: SKEMA Business School - SKEMA Business School
Hatem Masri: Applied Science University, Bahrain

Post-Print from HAL

Abstract: We wrote this book to help financial experts and investors to understand the state of the art of artificial intelligence and machine learning in finance. But first, what is artificial intelligence? The foundations of artificial intelligence lie in the human desire to automate. Often this desire has had foundations in grand civilization-defining visions or economic needs, such as the Antikythera mechanism, circa 200 BCE. Considered to be the oldest known example of an analog computer, it is thought that the mechanism automated the prediction of the positions of the sun, the moon, and the planets to assist in navigation. No matter the specific industry or application, AI has become a new engine of growth. Both finance and banking have been leveraging AI technologies and algorithms, applying them to automate routine tasks, procedures and forecasting, thereby improving overall customer experience. The topics covered in this book make it an invaluable resource for academics, researchers, policymakers, and practitioners alike who want to understand how AI has affected the banking and financial industries and how it will continue to change them in the years to come.

Date: 2024-08
References: Add references at CitEc
Citations:

Published in World Scientific Publishing Europe, 15, 428 p., 2024, 9781800615205. ⟨10.1142/q0449⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04931239

DOI: 10.1142/q0449

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().