Rethinking digital infrastructure architecture for deep technologies in Africa: a collaborative approach

This paper explores collaborative digital infrastructure development as a solution to bridge the digital divide in Africa and enable the piloting and deployment of deep technologies such as Internet of Things, Machine Learning, A.I, Blockchain and others at scale. The paper reviews successful collaborative models globally, analyzing the African digital infrastructure landscape, and proposes recommendations for policy and programs. Current digital infrastructure markets struggle to meet the demands of emerging technologies like Industrial Internet of Things (IIoT) due to limitations in bandwidth, latency, and market focus on first mile and last mile connectivity. Network models such as Network as a Service (NaaS) and stake-holder collaborations in consortia is presented as a potential solution, especially how they can develop a network that is shared at the infrastructure layer while promoting competition at the service layer. The paper examines successful collaborative digital infrastructure models in various sectors, highlighting factors like shared governance, diversified funding mechanisms, and open-source technology adoption. It emphasizes the need for extending this collaboration beyond traditional infrastructure to address the demands of deep tech applications. An analysis of the African digital infrastructure development landscape reveals various initiatives by the African Union (AU), Smart Africa, and regional economic blocs to promote digital connectivity and infrastructure development. The paper argues that while these initiatives foster collaboration, they may not fully address the needs of deep technologies. Considering these aspects, the paper proposes the establishment of regional and industry-specific consortiums to develop the required infrastructure. These consortiums would leverage resources and expertise to create shared infrastructure designed for specific applications, like smart agriculture or Connected and Automated Transportation (CAT). Policy recommendations include incentivizing collaboration among stakeholders, promoting open standards and interoperability, and establishing robust data security frameworks together with programmatic recommendations focus on capacity building, public-private partnerships, research and innovation funding, and community engagement. In conclusion, the paper highlights that successful digital infrastructure development in Africa for deep technologies requires a collaborative approach that leverages successful global models, considers the unique African landscape, and promotes innovation through partnerships and capacity building.