AI INTEGRATION IN BUSINESS ANALYTICS: A REVIEW OF USA AND AFRICAN TRENDS

Femi Osasona, Andrew Ifesinachi Daraojimba, Akoh Atadoga, Shedrack Onwusinkwue, Ogugua Chimezie Obi, Samuel Onimisi Dawodu
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Abstract

The relentless evolution of Artificial Intelligence (AI) has significantly transformed the landscape of business analytics, offering unparalleled opportunities for organizations to enhance decision-making processes and gain a competitive edge. This study provides a comprehensive review of AI integration in business analytics, focusing on the distinctive trends observed in both the United States (USA) and African business ecosystems. In the United States, a technologically advanced market, the adoption of AI in business analytics has witnessed remarkable strides. Corporations across various sectors leverage AI-driven tools and algorithms to analyze vast datasets, extract meaningful insights, and optimize strategic decision-making. The USA's emphasis on innovation and robust technological infrastructure has propelled AI integration as a cornerstone of modern business strategies. Contrastingly, the African continent is experiencing a unique trajectory in AI adoption within the realm of business analytics. Despite facing challenges related to infrastructure and resource limitations, African businesses are increasingly recognizing the transformative potential of AI. Initiatives promoting AI education and collaboration with global tech partners have contributed to a growing awareness and implementation of AI in business analytics across various African industries. This review explores commonalities and divergences in the trends observed between the USA and Africa, highlighting the factors influencing AI integration in each region. Factors such as regulatory frameworks, cultural nuances, and economic landscapes play a pivotal role in shaping the AI landscape in both contexts. By understanding these trends, businesses can tailor their AI strategies to align with regional dynamics, fostering sustainable growth and innovation. This study provides valuable insights into the evolving landscape of AI integration in business analytics, offering a comparative analysis of trends in the USA and Africa. As organizations navigate the complexities of adopting AI, acknowledging regional variations becomes crucial for developing effective and context-specific strategies. Keywords: AI, Business Analytics, USA, Africa, Business, Innovation.
商业分析中的人工智能整合:美国和非洲趋势回顾
人工智能(AI)的不断发展极大地改变了商业分析的面貌,为企业提供了无与伦比的机会来加强决策过程并获得竞争优势。本研究全面回顾了商业分析中的人工智能整合,重点关注在美国和非洲商业生态系统中观察到的独特趋势。美国是一个技术先进的市场,人工智能在商业分析中的应用取得了长足进步。各行各业的企业利用人工智能驱动的工具和算法来分析庞大的数据集、提取有意义的见解并优化战略决策。美国对创新的重视和强大的技术基础设施推动了人工智能的整合,使其成为现代商业战略的基石。与此形成鲜明对比的是,非洲大陆在商业分析领域采用人工智能方面正经历着一条独特的轨迹。尽管面临着与基础设施和资源限制相关的挑战,非洲企业正日益认识到人工智能的变革潜力。促进人工智能教育以及与全球技术合作伙伴合作的举措,推动了非洲各行各业在商业分析中对人工智能的认识和实施。本综述探讨了美国和非洲之间观察到的趋势的共性和差异,强调了影响每个地区人工智能整合的因素。监管框架、文化差异和经济格局等因素在塑造这两个地区的人工智能格局方面发挥着关键作用。通过了解这些趋势,企业可以根据地区动态调整其人工智能战略,促进可持续增长和创新。本研究通过对美国和非洲的趋势进行比较分析,就人工智能在商业分析中的整合演变提供了有价值的见解。在企业应对采用人工智能的复杂性时,认识到地区差异对于制定有效的、针对具体情况的战略至关重要。关键词人工智能、商业分析、美国、非洲、商业、创新。
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