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Revista Universidad y Empresa
versão impressa ISSN 0124-4639versão On-line ISSN 2145-4558
Resumo
CORRALES-LIEVANO, Juan David e REYES-ROJAS, Juan Carlos. Skills in Digital Analytics as Drivers of Innovative AI Research: Implications for Advanced Talent Development. rev.univ.empresa [online]. 2025, vol.27, n.48, a14464. Epub 10-Abr-2025. ISSN 0124-4639. https://doi.org/10.12804/revistas.urosario.edu.co/empresa/a.14464.
Objective:
This study explores the relationship between data science talent and research productivity in artificial intelligence (AI), using data from the 2023 Global AI Index to analyze how data analysis skills drive AI innovation globally.
Methodology:
Through a comparative analysis across 44 countries, we identified significant patterns that underscore the importance of advanced data science competencies in AI development and innovation.
Key findings:
The results highlight clear correlations between the availability of data science talent and the quality and quantity of AI research output, suggesting that strengthening education and training in data science is crucial for advancing technological progress in this field.
Conclussions:
This work not only provides empirical evidence on the impact of data science talent on AI innovation but also offers recommendations for policies and practices that can foster a more dynamic and productive AI ecosystem.
Palavras-chave : digital analytics skills; artificial intelligence; data science talent; research productivity; talent development; digital transformation.
