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Dissertation 4.4

Talent And Skills in Natural Language Processing for Cross-functional Tech Teams: A Comparative Perspective

30
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Harvard
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~ 31–45 mins
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Food Systems Sociology Sustainability
Abstract

This dissertation investigates “Talent And Skills in Natural Language Processing for Cross-functional Tech Teams: A Comparative Perspective” using a survey-based structural equation modeling. Through a institutional lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

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Talent And Skills in Natural Language Processing for Cross-functional Tech Teams: A Comparative Perspective

ABSTRACT
Talent And Skills in Natural Language Processing for Cross-functional Tech Teams: A Comparative Perspective is unpacked across themes: governance, security, ethics, and scalability. Limitations and future research paths are noted.
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