Artificial Intelligence for Digital Finance, Axes and Techniques

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Abstract

With the emergence of new technologies and the wide adoption of artificial intelligence techniques to make daily tasks much smarter and even predict and anticipate changes, most sectors have gone digital. Finance has also benefited from this movement, thanks to the new form of digital finance or e-finance investors and stakeholders can anticipate the opportune moment to carry out their transactions. E-finance is an active and sensitive area of research because the information processed is money, from which the margin of error must be almost zero to avoid economic crises, sometimes the bankruptcy of individuals or companies. According to our research, this theme is recent, and several efforts have been made in the last decade to develop it. This article will present the scientific progress of e-finance and discuss the main axes in which research is currently concentrated. Finally, we will discuss the prospects for this area of research.

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APA

Najem, R., Amr, M. F., Bahnasse, A., & Talea, M. (2022). Artificial Intelligence for Digital Finance, Axes and Techniques. In Procedia Computer Science (Vol. 203, pp. 633–638). Elsevier B.V. https://doi.org/10.1016/j.procs.2022.07.092

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