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Coursework 4.7

MLOps and Human Factors And Usability among Data Science Teams — Evidence from Southeast Asia

9
Pages
IEEE
Style
~ 9–15 mins
Reading Time
Tourism Education Cybersecurity
Abstract

This coursework investigates “MLOps and Human Factors And Usability among Data Science Teams — Evidence from Southeast Asia” using a benchmarking and maturity modeling. Through a institutional lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

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MLOps and Human Factors And Usability among Data Science Teams — Evidence from Southeast Asia

ABSTRACT
MLOps and Human Factors And Usability among Data Science Teams — Evidence from Southeast Asia is unpacked across themes: KPIs, change enablement, interoperability, and scalability. Limitations and future research paths are noted.
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