IIARD International Institute of Academic Research and Development

WORLD JOURNAL OF INNOVATION AND MODERN TECHNOLOGY (WJIMT )

E-ISSN 2504-4766
P-ISSN 2682-5910
VOL. 7 NO. 2 2023
DOI: https://doi.org/10.56201/wjimt.v7.no2.2023.pg83.95

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Artificial Intelligence and Machine Learning in Advancing Competence Assurance in the African Energy Industry

Olawe Alaba Tula, Olusile Babayeju, Edward Aigbedion

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Abstract

This qualitative research paper using complex adaptive systems (CAS) examines the transformative role of artificial intelligence (AI) and machine learning (ML) in advancing competence assurance in the African energy industry, through the review of literatures of past research. The paper explores the history of AI and ML techniques, their application in learning, developing competence and assurance, challenges and limitations, and emerging technologies. Key findings highlight how AI and ML accelerate competence assurance, optimizing production processes, and enhance quality control. Emerging technologies such as virtual reality and augmented reality and AI integration with experimental techniques are discussed. The implications for the future underscore the profound impact of AI and ML on competence assurance, enabling faster assurance processes, efficient production, and competent knowledge repository.

keywords:

Competence Assurance, Artificial Intelligence, Machine Learning, Virtual Reality, & Augmented Reality.

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References:

Abiodun, O., Misra, S., & Oluwaranti, A. (2022). Machine Learning in the African Context:
Opportunities and Challenges. In Smart Technologies for Sustainable Development (pp. 1-20).

Springer
Adebayo, A., Ibrahim, H., & Sanni, M. (2018). Infrastructural Challenges in the Adoption of
Artificial Intelligence in the African Context. International Journal of Technology and Human
Interaction, 14(3), 47-63.

Adewole, K., & Afolabi, T. (2021). Cultural Implications in AI Adoption: A Case Study of African
Energy Industry. International Journal of Computer Applications, 182(21), 27-32.

Adewumi, A., Ojokoh, B., & Asogbon, M. (2019). Edge Computing in the Industrial Internet of
Things: A Comprehensive Survey. Journal of Network and Computer Applications, 125, 1-18.

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