Leveraging Machine Learning and Artificial Intelligence for Innovation and Sustainability in Small and Medium Sized Enterprises (SMEs): A Case Study of Kalumbila, Zambia

Abstract

Despite the rapid advancement and widespread adoption of Artificial Intelligence (AI) technologies across various sectors, the implementation of AI and Machine Learning (ML) in Small and Medium-sized Enterprises (SMEs) remains relatively underexplored. The incorporation of Artificial Intelligence and Machine Learning into Small and Medium sized Enterprises (SMEs) can transform conventional business procedures and provide substantial prospects for expansion and competitiveness. By utilizing AI and ML tools such as Predictive and Prescriptive Analytics, Deep Learning and Natural Language Processing, SMEs can streamline operations, increase productivity and make data-driven decisions. This study examines the various uses of AI and Machine Learning in SMEs, emphasizing how these technologies can enhance decision-making, optimize operational efficiency, and provide tailored consumer experience. The study focuses on SMEs within Kalumbila town, in North-Western Province of Zambia. Additionally, the paper highlights the challenges SMEs face in implementing these technologies, such as resource limitations, costs, and the requirement for specialized skills. Ultimately, the study shows that with right strategies and approaches, Machine Learning and Artificial Intelligence can be powerful enablers for innovation and sustainable growth for SMEs.