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Case Study 4.5

MLOps Adoption in Urban Households: Data Quality And Bias — Evidence from East Africa

17
Pages
Chicago
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~ 18–25 mins
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Open Banking BioMed Supply Chain
Abstract

This case study investigates “MLOps Adoption in Urban Households: Data Quality And Bias — Evidence from East Africa” using a propensity score matching. Through a behavioral lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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MLOps Adoption in Urban Households: Data Quality And Bias — Evidence from East Africa

ABSTRACT
MLOps Adoption in Urban Households: Data Quality And Bias — Evidence from East Africa is unpacked across themes: interoperability, benefits, scalability, and costs. Limitations and future research paths are noted.
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