Science

Nadia Fettah Alaoui: AI promotes the construction of predictive models for public finances

Artificial intelligence (AI) promotes the construction of predictive models for tomorrow’s public finances, Economy and Finance Minister Nadia Fettah Alaoui said in Rabat on Friday. “Big Data and artificial intelligence can be of a very valuable help for the construction of predictive models of the public finances of tomorrow in terms of budgetary and fiscal policies or even in terms of public debt policy”, declared the Minister in the inauguration of the 14th edition of the International Colloquium on Public Finance (CIFP). Meeting held at the initiative of the Ministry of Economy and Finance (General Treasury of the Kingdom – TGR), in alliance with the Association for the International Foundation for Public Finance (FONDAFIP).

After having highlighted the economic role of the State and its intervention on different occasions, “albeit in a cyclical manner”, either for the allocation of resources, the redistribution of income or even for the regulation of the economic situation, the Minister indicated that the State is also assigned a role of strategic surveillance or even economic intelligence. This last function, he continued, will aim to take the State’s action from a cyclical perspective towards a strategic and long-term approach.

Indeed, according to the Minister, the intervention of the State should be part of a global strategic approach that allows to apprehend through predictive projections, the real scope of the problems and long-term trends, in particular taking advantage of the abundance of information and the new means to be made available to the State for processing.

Focusing on the public finance challenges of the 21st century and their difference from those of bygone times, Nadia Fettah Alaoui underscored that the kingdom will have to face new challenges, or challenges born quite recently on the scale of history. data related, those related to globalization or the preeminence of the service economy, etc.

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