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Essay 4.8

Talent And Skills in Artificial Intelligence for Data Science Teams: A Comparative Perspective

9
Pages
IEEE
Style
~ 9–15 mins
Reading Time
DevSecOps Health Epidemiology
Abstract

This essay investigates “Talent And Skills in Artificial Intelligence for Data Science Teams: A Comparative Perspective” using a survey-based structural equation modeling. Through a human-centered lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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Talent And Skills in Artificial Intelligence for Data Science Teams: A Comparative Perspective

ABSTRACT
Talent And Skills in Artificial Intelligence for Data Science Teams: A Comparative Perspective is unpacked across themes: change enablement, scalability, KPIs, and security. Limitations and future research paths are noted.
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