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Coursework 4.9

Artificial Intelligence and Data Quality And Bias among Agritech Startups — Evidence from Latin America

11
Pages
Chicago
Style
~ 11–16 mins
Reading Time
Finance Risk Metaverse
Abstract

This coursework investigates “Artificial Intelligence and Data Quality And Bias among Agritech Startups — Evidence from Latin America” using a benchmarking and maturity modeling. Through a economic lens, the analysis integrates multi-source data to derive novel empirical evidence for researchers and practitioners.

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Artificial Intelligence and Data Quality And Bias among Agritech Startups — Evidence from Latin America

ABSTRACT
Artificial Intelligence and Data Quality And Bias among Agritech Startups — Evidence from Latin America is unpacked across themes: change enablement, interoperability, KPIs, and equity. Limitations and future research paths are noted.
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