AI-Readiness in Emerging Economies: Metha Synthesis on Data and Infrastructural Layers
Julio Joaquin Meza Vergara (),
Paulos Teckle () and
Abeba N. Turi ()
Additional contact information
Julio Joaquin Meza Vergara: University Canada West
Paulos Teckle: University Canada West
Abeba N. Turi: Northeastern University, University Canada West
A chapter in Tech Transformation and AI Readiness, 2025, pp 39-59 from Springer
Abstract:
Abstract This study seeks to perform AI-readiness situation assessment for the countries in the Global South. By navigating through the theoretical and empirical evidence, the work sheds light on the groundwork and the current state of these economies in preparation for the unfolding new wave of machine intelligence. Here, we explored data availability, data protection policies, and data governance and further investigated infrastructural capabilities to support AI technologies. We also navigated through implementation success stories from selected countries in the region. This work will provide a comprehensive and detailed analysis of the challenges and opportunities associated with the adoption of AI in the context of the South.
Keywords: AI readiness in emerging economies; Global South AI adoption; Data governance in AI; Data protection policies for AI (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:fuobcp:978-3-031-73639-1_3
Ordering information: This item can be ordered from
http://www.springer.com/9783031736391
DOI: 10.1007/978-3-031-73639-1_3
Access Statistics for this chapter
More chapters in Future of Business and Finance from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().