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Artículo: AMZ-B0F27JDVG3
Hello AI: The non-technical Executive's guide to Artificial Intelligence
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0.40 kg
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- A Strategic Framework for Enterprise EvolutionThis guide examines the remarkable potential of artificial intelligence as a transformative force for non-technical enterprises, offering an analysis of how organisations can leverage AI to transcend traditional development constraints. Drawing from both theoretical foundations and practical implementation experiences, I present a nuanced perspective on technological leapfrogging in emerging markets. The work situates AI adoption within a broader historical context, tracing the evolution from early rule-based systems to contemporary large language models, while illuminating the unique inflection point this technology represents for African businesses. Unlike previous technological revolutions that reinforced existing power structures, AI's increasing democratisation creates unprecedented opportunities for innovation and competitive advantage regardless of organisational scale or historical positioning. Through meticulously constructed case studies spanning financial services, agriculture, manufacturing, healthcare, and retail, the manuscript demonstrates how contextually adapted AI implementations deliver extraordinary returns when aligned with local realities. The analysis goes beyond superficial technological enthusiasm to address critical implementation challenges, from infrastructure limitations to cultural adaptation requirements and regulatory considerations. What distinguishes this work is its theoretical depth combined with practical applicability. The author provides comprehensive frameworks for opportunity identification, ROI calculation, ethical implementation, and cultural adaptation specifically calibrated for African business environments. This balance of conceptual sophistication and operational guidance makes the manuscript valuable for executives, policymakers, entrepreneurs, and academics seeking to understand how AI can catalyse economic transformation across diverse African contexts. Rather than simply importing Western implementation models I look at AI from the context of Africa.
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