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Case Study 4.9

Data Quality And Bias in AIOps for Export-Oriented Manufacturers: A Comparative Perspective

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Abstract

This case study investigates “Data Quality And Bias in AIOps for Export-Oriented Manufacturers: A Comparative Perspective” using a survey-based structural equation modeling. Through a institutional lens, the analysis integrates multi-source data to derive novel empirical evidence for researchers and practitioners.

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Data Quality And Bias in AIOps for Export-Oriented Manufacturers: A Comparative Perspective

ABSTRACT
Data Quality And Bias in AIOps for Export-Oriented Manufacturers: A Comparative Perspective is unpacked across themes: scalability, usability, risks, and costs. Limitations and future research paths are noted.
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