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  • Format: ePub

Nigeria stands at a critical juncture where emerging technologies like artificial intelligence and machine learning could redefine its development trajectory. This book presents a visionary yet practical exploration of how AI can be strategically deployed to address Nigeria's most pressing challenges from healthcare and agriculture to governance and infrastructure.
Moving beyond theoretical discussions, this work grounds AI solutions in Nigeria's unique socioeconomic context. Readers will discover how machine learning can optimize crop yields for smallholder farmers, how predictive
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Produktbeschreibung
Nigeria stands at a critical juncture where emerging technologies like artificial intelligence and machine learning could redefine its development trajectory. This book presents a visionary yet practical exploration of how AI can be strategically deployed to address Nigeria's most pressing challenges from healthcare and agriculture to governance and infrastructure.

Moving beyond theoretical discussions, this work grounds AI solutions in Nigeria's unique socioeconomic context. Readers will discover how machine learning can optimize crop yields for smallholder farmers, how predictive algorithms can strengthen healthcare delivery in underserved communities, and how intelligent systems can enhance transparency in public administration. The book carefully balances technological potential with real-world considerations infrastructure limitations, data scarcity, ethical implications, and the urgent need for local capacity building.

Written for policymakers, entrepreneurs, and technologists alike, this book serves as both a call to action and a practical guide. It argues convincingly that Nigeria's path to sustainable development must include AI adoption, while providing frameworks to ensure these technologies benefit all citizens equitably. The future of Africa's largest economy may well depend on how quickly and thoughtfully it embraces this technological revolution and this book lights the way forward.


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