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Case Study 4.7

Data Quality And Bias in MLOps for Urban Households: A qualitative grounded theory

39
Pages
MLA
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~ 41–59 mins
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Food Systems Finance Open Banking
Abstract

This case study investigates “Data Quality And Bias in MLOps for Urban Households: A qualitative grounded theory” using a survey-based structural equation modeling. Through a institutional lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

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Data Quality And Bias in MLOps for Urban Households: A qualitative grounded theory

ABSTRACT
Data Quality And Bias in MLOps for Urban Households: A qualitative grounded theory is unpacked across themes: ethics, usability, costs, and benefits. Limitations and future research paths are noted.
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