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Essay 4.4

Data Quality And Bias in Cloud Computing for Agritech Startups: A Comparative Perspective

36
Pages
Chicago
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~ 38–53 mins
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Finance Impact IoT
Abstract

This essay investigates “Data Quality And Bias in Cloud Computing for Agritech Startups: A Comparative Perspective” using a mixed-methods case study. Through a socio-technical lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

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Data Quality And Bias in Cloud Computing for Agritech Startups: A Comparative Perspective

ABSTRACT
Data Quality And Bias in Cloud Computing for Agritech Startups: A Comparative Perspective is unpacked across themes: KPIs, costs, ethics, and equity. Limitations and future research paths are noted.
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