Artificial Intelligence (AI) Integration for Industrialized Marketing and Management for Transforming Businesses Operations in Africa

DOI

10.2991/978-94-6463-898-1_24How to use a DOI?

Keywords

Artificial Intelligence (AI); Industrialized Marketing; Business Management; Digital Transformation; AI Integration

Abstract

Digital transformation across the African continent is redesigning operational effectiveness and efficiency, strategic decision-making, and even broadening the horizons of customer relationship and engagement by businesses organizations. That is to said, it is impossible to ignore the significant constraints: basic infrastructure often leaves much to be desired, investment in fundamental research remains inadequate, and regulatory frameworks display a concerning degree of uncertainty. This research seeks to move beyond discourse and actually conveys real-world guidance for African firms taking digital adoption seriously. The main objectives centers on strengthening marketing and operational outcomes by laying stronger digital infrastructure direction, applying artificial intelligence to cut down on repetitive tasks in marketing, and leveraging sophisticated decision-support systems to underpin better adoptions of digital technologies. The main aim is straightforward: enable African businesses to sharpen their competitive edge, boost marketing and operational performance, and in turn, stimulate broader economic growth. The investigative approach here relied primarily on secondary data analysis, reviewing existing literature and empirical studies. The discoveries are difficult to undermine: Africa still remains in the early stages of building digital influence; the businesses are still scrambling to match global tech levels. Concrete recommendations emerge from these findings. Directed investment into cloud infrastructure, reliable broadband and AI-powered data centers is not optional but essential for effective integration of digital technologies into industrialized marketing and management of business in Africa. Moreover, promoting open data policies and interoperability standards could offer a necessary boost by fostering richer AI-driven insight and supporting data-informed business decisions. In summary, for Africa to move from latent potentials to actual digital leadership, stakeholders must focus on resource allocation and regulatory reform by creating a solid technological plans, not just isolated digital islands.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Preeti Sharma
AU  - Owhoeke
AU  - Nwameze George
AU  - Shilpa Pareek
PY  - 2025
DA  - 2025/11/18
TI  - Artificial Intelligence (AI) Integration for Industrialized Marketing and Management for Transforming Businesses Operations in Africa
BT  - Proceedings of the International Conference on Artificial Intelligence in Management for Business and Industrial Growth (AIMBIG 2025)
PB  - Atlantis Press
SP  - 355
EP  - 370
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-898-1_24
DO  - 10.2991/978-94-6463-898-1_24
ID  - Sharma2025
ER  -