The AI Language Gap: Why Africa Needs More Than English-Language Models
Do English-language AI models really serve the needs of all African communities, or is there need for more contextualised systems?
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What happens when data science meets engineering? In this episode, Brian joins us for a conversation about what it really takes to build strong data and technology systems and why great models alone aren't enough. We explore the relationship between data science and software engineering, what good data infrastructure looks like, and how the engineering behind a data product can determine whether an otherwise excellent model succeeds or fails. We also dive into the future of technology in Africa through the work of DataLab Africa ( https://datalabafrica.com/ ) , from developing technical skills and building real-world projects to creating platforms that help shape the next generation of African builders. What should aspiring data and technology professionals actually be building? Are we becoming a world where every technology company is also a data company? And what does it take to build technology around real problems rather than simply starting with the technology? 🎧 Watch the full episode and join the conversation.

What does it actually take to build an AI system that understands African law? In this episode, we speak with Mohammad about the challenges and opportunities of building AI for legal research in Africa, with a particular focus on Kenya and Sheria Africa, a legal AI and research platform built for lawyers in Kenya. We go beyond the hype around ChatGPT and chatbots to explore what happens behind the scenes when an AI system needs to answer questions using thousands of legal documents. We unpack why high-quality data matters, and why building reliable legal AI may be as much about data infrastructure as it is about the AI itself. If you're interested in AI in Africa, legal technology, African law, legal research, AI infrastructure, Kenya's tech ecosystem, or the future of AI, this episode is for you.

Why are there fewer iOS engineers in Africa compared to Android, and what does it say about our economies? In this episode, Abrose Mbayi joins us on The African Stack to unpack that question and more about the continent's tech market. We get into: Why Android dominates African mobile development while IOS remains a rarer speciality What it's like working as an IOS engineer, and the difference between building for African markets and working internationally Whether African university institutions are equipping graduates with the skills the industry actually needs The practical and structural differences between IOS and Android engineering on the continent If you're a developer, a student, or just curious about how Africa's tech pipeline really works, this conversation lays it out for you.