Data & Infrastructure: The Foundation of AI

Data—volume, quality, typology—and infrastructure—networks, data centers, cloud platforms, edge computing—are now at the heart of any artificial intelligence deployment. On the African continent, the challenge is considerable: ensuring reliable access to relevant data, building robust infrastructure, and preventing AI from continuing to rely solely on imported architectures or standards.

Countries such as Kenya, Rwanda, South Africa, and Morocco are already making progress in implementing data policies, sovereign cloud computing, and high-speed networks. However, challenges remain: data fragmentation, lack of harmonized governance, insufficient investment, and dependence on data flows and infrastructure that are mainly based abroad.

This webinar aims to:

• highlight African initiatives in infrastructure and data for AI;

• analyze the obstacles and levers so that these technological foundations become assets for local, inclusive, and sustainable AI;

• promote dialogue between public decision-makers, researchers, entrepreneurs, and investors on infrastructure models suited to African realities.