AI Adoption in Africa Accelerates Amid Cybersecurity Concerns

Artificial intelligence adoption is accelerating across organisations, creating new opportunities for productivity and innovation while introducing new cybersecurity challenges. A Kaspersky survey of 1,800 IT and cybersecurity professionals highlights growing concerns about AI-related risks and the need for stronger governance, employee awareness and responsible implementation strategies, particularly as African businesses expand their digital capabilities.

AI is changing the role of the enterprise resource platform

Legacy ERP systems are becoming a major obstacle to AI adoption and business growth. Courtney Hounsell of Braintree explains why cloud migration alone is not enough, arguing that true ERP modernisation requires new architecture, real-time data integration and cloud-native capabilities. The article explores how modern ERP platforms enable AI-driven automation, predictive analytics and operational efficiency, while legacy infrastructure limits ROI, increases costs and prevents organisations from realising AI’s full business value.

Has Digital Marketing Become Too Optimised to Be Memorable? Why Creativity Still Matters in the AI Era

As AI and performance marketing reshape digital advertising, are brands becoming less memorable? Nicole Glover, Executive Creative Director – Digital at Penquin, argues that the industry’s obsession with optimisation and short-term metrics—not artificial intelligence—is driving creative sameness. Discover why balancing data with emotional storytelling is essential for long-term brand growth and marketing effectiveness.

AI has an energy problem – but Africa has an opportunity

AI’s rapid growth is creating unprecedented energy demand as data centres consume increasing amounts of electricity. Matthew Turner of SolarAfrica explains how Africa’s renewable energy potential, including solar, wind and wheeling solutions, can help power the AI revolution sustainably while reducing costs and improving energy security.

The risk of AI tunnel vision in IT efficiency

The risk of AI tunnel vision in IT efficiency explores why focusing solely on AI’s energy consumption overlooks the much larger challenge of improving efficiency across the entire IT estate. As data centre power demand rises in South Africa, organisations must adopt an end-to-end approach that optimises infrastructure, cooling, software, workloads, and data management. The article argues that sustainable IT efficiency is achieved by designing energy efficiency into every layer of traditional and AI infrastructure, enabling greater resilience, lower costs, and scalable digital transformation.