Nura Bishir
MotherCat Ltd, Site Engineer
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Nura Bishir is a dedicated and detail-oriented Engineering Assistant with a Bachelor's degree in Civil Engineering from Ahmadu Bello University and ongoing pursuit of a Professional Diploma in Applied Artificial Intelligence from Base University Abuja. With over 1 year of experience in the construction industry.
Nura's professional journey includes roles such as Chief Marketing Officer(CMO) of ShantEx, Assistant Site Engineer at MotherCat Limited, Secretary General at A B I Consult, then as the Founder of Dropped It, a logistics delivery startup, Nura demonstrated entrepreneurial skills and a passion for revolutionizing delivery services.
Nura is an active member of professional organizations such as the Nigerian Society of Engineers, International Association of Engineers, American Society of Civil Engineers, and Data Science Nigeria, reflecting a commitment to continuous learning and professional development. Fluent in English and Hausa, with proficiency in Arabic and Fulani, Nura values communication and cultural diversity in their work.
Outside of work, Nura enjoys reading, learning, teaching, researching, attending conferences and workshops, and participating in technology hackathons and competitions.
Links
Artificial Intelligence Adoption and Economic Development: A Comparative Analysis of Nigeria and USA
This research conducts a comparative analysis of the impact of artificial intelligence (AI) adoption on economic development in Nigeria and the United States. Utilizing extensive datasets spanning from 2015 to 2022, encompassing GDP growth, AI adoption rates, and poverty rates, this study employs regression, correlation, and time-series analyses to explore the relationship between AI adoption and key economic indicators. The findings reveal nuanced dynamics between AI adoption and economic development, showcasing both opportunities and challenges in leveraging AI for inclusive growth. While AI adoption demonstrates potential positive effects on GDP growth, its impact on poverty rates requires careful consideration. Contextual differences between Nigeria and the United States underscore the importance of tailored policy interventions and investment strategies to maximize the benefits of AI adoption for sustainable economic development. This study contributes empirical insights and actionable recommendations for policymakers, researchers, and stakeholders seeking to harness AI for economic growth and poverty reduction.
Keywords: Artificial intelligence, AI adoption, economic development, Nigeria, United States, comparative analysis, GDP growth, poverty rates, regression analysis, correlation analysis, time-series analysis.
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