Digital Transformation in African SMEs: Emerging Issues and Trends

Author(s): Ashmond Adu-Ansere* and Victus Elikplim Lumorvie

DOI: 10.2174/9789815223347124020004

Digital Tools (Big Data, IoT, AI, ML, etc.) for SMEs

Pp: 1-29 (29)

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Abstract

SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.

Abstract

This article discusses the significance of artificial intelligence (AI) and machine learning (ML) for small and medium-sized enterprises (SMEs) and the challenges that hinder their adoption in Africa and other developing countries. Despite the success of AI and ML in improving performance and productivity in large organizations, many SMEs are reluctant to adopt these digital tools due to a lack of awareness and education. The article highlights the benefits of AI and ML for SMEs, including better decision-making, increased productivity, revenue generation, and innovation. It also discusses how AI and ML can be used for customer service, marketing, and sales automation, and emphasizes the need for SMEs to embrace these technologies to improve their competitiveness in the market.

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