\u00a0CAJ News Africa<\/em>.<\/p>\nThe executive noted that despite disparities in AI adoption, embracing of AI was taking shape in parts of the continent including Kenya, Nigeria and South Africa.<\/p>\n
\u201cThis disparity is largely driven by differences in the maturity of tech ecosystems, particularly in relation to the adoption of Business AI technologies,\u201d Moyo added.<\/p>\n
He cited key areas in the fields of fintech, healthcare, agriculture and logistics as having already benefited from AI driven innovations.<\/p>\n
\u201cFor example, AI is being used to improve financial inclusion, enhance crop yields, and optimize supply chains across the continent,\u201d Moyo said.<\/p>\n
He said the main reasons Africa is adopting emerging tech was because of the growing ecosystems in above-mentioned countries that have already emerged as hubs for innovations.<\/p>\n
Moyo commended mobile penetration and connectivity as creating a foundation for AI applications, particularly in areas like mobile banking, which now includes those that were unbanked or financially excluded before.<\/p>\n
He also indicated that AI was instrumental in supporting government policies.<\/p>\n
\u201cSome African governments are implementing policies to promote AI research and development,\u201d he said.<\/p>\n
\u201cFor example, here in Kenya AI has been identified as a key thematic focus by the Kenya National Innovation Agency\u2019s Strategic Plan 2023-2027, especially its application in developing innovative solutions for use in biotech, urban planning and climate change efforts.\u201d<\/p>\n
He also noted the importance of international partnerships, which he said had seen African countries benefit from ties with global tech companies, fostering the growth of Business AI capabilities.<\/p>\n
However, the official noted challenges that also hindered adoption. These include infrastructure limitations<\/p>\n
While some regions have good connectivity, many rural areas still suffer from limited access to reliable internet, electricity and the necessary infrastructure.<\/p>\n
There are also data accessibility issues. The cost of AI adoption in infrastructure and expertise could be expensive.<\/p>\n
\u201cAI relies on large datasets, and in many African countries, data collection and management systems are either underdeveloped or fragmented,\u201d Moyo said.<\/p>\n
\u201cMany African businesses, particularly small and medium-sized enterprises, face these challenges. However, with consumption-based models in the cloud, this is becoming less of a challenge,\u201d he said.<\/p>\n
Regulatory concerns also hinder adoption.<\/p>\n
\u201cFor many African countries, regulatory frameworks surrounding AI are still evolving, and there are concerns about data privacy, job displacement and ethical use of AI,\u201d Moyo stated.<\/p>\n
This article first appeared on Techno Africa<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"Although there are notable disparities in the adoption of artificial intelligence (AI) in Africa, the drive to embrace it is at its peak among the…<\/p>\n","protected":false},"author":2577,"featured_media":147785,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"related_posts":[],"footnotes":"","_links_to":"","_links_to_target":""},"categories":[5597544],"tags":[1494787,48088,5596425],"series":[],"sapn-display":[5598742,5598740,45149,5598743,5598741,279685],"sapn-type":[45018],"class_list":["post-147784","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-ai","tag-artificial-intelligence","tag-dumisani-moyo","sapn-display-feature-hero","sapn-display-feature-spotlight","sapn-display-homepage-hero","sapn-display-news-hero","sapn-display-news-spotlight","sapn-display-hero","sapn-type-feature"],"yoast_head":"\n
Africa\u2019s Big Economies Lead AI Adoption - 麻豆原创 Africa News Center<\/title>\n \n \n \n \n \n \n \n \n \n \n \n\t \n\t \n\t \n \n \n \n\t \n\t \n\t \n