Abiodun Ajanaku
Department of Applied Artificial Intelligence and Data Science, Solent University, Southampton, United Kingdom
Publications
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Research Article
Artificial Intelligence For Startup Risk And Investment Readiness Assessment: A Machine Learning Model From the African Innovation Ecosystem
Author(s): Abiodun Ajanaku*
This study presents a novel approach to assessing startup risk and investment readiness in Africa using artificial intelligence and machine learning techniques. Despite the rapid growth of technology ecosystem across the continent, access to early- stage funding remains one of the most critical challenges for startups, major contributors to these challenges include but not limited to high perceived risk, fragmented information, investors uncertainty, lack of standardized, transparent, and scalable tools for assessing the viability and investment readiness of early-stage ventures. This research aimed to provide practical solutions to these challenges through the development and validation of a machine learning (ML) model tailored to assess startup risk and investment readiness within the African innovation ecosystem. The research utilized synthesized and anonymised multi-dimensional da.. Read More»

