The new trajectories of Artificial Intelligence: a multidimensional analysis

Authors

  • Giuseppe Lecardane ISTAT

DOI:

https://doi.org/10.71014/sieds.v80i2.425

Keywords:

Artificial Intelligence, MULTIDIMENSIONAL, PCA, CLUSTERS, iNNOVATION

Abstract

Contemporary technological progress in the fields of statistics, artificial neural networks, and machine learning has generated remarkable advancements in Artificial Intelligence (AI) innovation. The proliferation of AI technologies is fundamentally transforming production methodologies, business paradigms, and organizational structures within both private sector enterprises and public administration institutions.

The present work examines principal indicators for the analysis and development of this novel advanced technology in the European context. Given the multidimensional characteristics of the study, following the analysis and description of individual dimensions, a multivariate analysis is conducted for territorial and temporal comparisons. This investigation offers significant contributions to understanding the contemporary and prospective AI landscape, with substantial ramifications for strategic decision-making across social, economic, technological, and industrial sectors.

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Published

2026-02-19

Issue

Section

Articles