As organisations race to adopt artificial intelligence, many are overlooking the most valuable people in successful AI implementation: Business Analysts. In this article, Martin Pienaar, COO of Mindworx Academy, argues that the future of AI governance, prompt engineering and human oversight depends less on technical coding skills and more on structured business thinking. Drawing on recent AI failures involving fabricated citations and hallucinated data, the article explains why Business Analysts are uniquely positioned to guide AI systems, validate outputs and ensure accountability in an AI-driven economy.
Tag: AI hallucinations
Five ways AI is creating everyday risks for African businesses
Artificial intelligence is rapidly changing the cyber risk landscape for African businesses. Emmanuel Tzingakis, Technical Lead at Trend Micro, highlights five key AI-driven threats: hyper-personalised phishing, deepfakes, data governance gaps, malicious code in open-source repositories, and AI hallucinations. These risks demand urgent attention as attackers increasingly exploit AI tools for fraud, social engineering, and data breaches. The article explores how businesses can strengthen cybersecurity through better visibility, improved data governance, and proactive AI monitoring to stay ahead in this evolving digital battlefield.