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From Nigeria's National Data Infrastructure is Fragmented, Hindering AI Push

How does the fragmentation of national data infrastructure affect the federal government?

Data silos hinder Nigeria's ability to execute national AI strategy The siloed nature of critical national datasets across various government agencies prevents the federal government from effectively executing its national digital and AI strategies. AI systems require large amounts of high-quality, integrated data to function, but the current fragmentation makes it difficult to build tools that improve public services like healthcare and tax collection. This institutional reluctance to share data, despite the government's efforts to unify systems, means that the true measure of success for national policies remains unachieved.

Reported by 1 independent outlet Written Oct 7
Effect
Strong negative
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How it reaches federal government

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The facts so far

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  • Eight major government agencies hold some of Nigeria’s most valuable datasets on citizens, but these databases remain siloed.techcabal.com
  • The National Identity Management Commission (NIMC) manages the National Identification Number (NIN) database, while the Central Bank of Nigeria (CBN) oversees the Bank Verification Number (BVN) system.techcabal.com
  • In 2025, the country launched a National Artificial Intelligence Strategy and unveiled N-Atlas, Africa’s first government-backed multilingual large language model.techcabal.com
  • Experts say achieving the impact of policies may depend on breaking down data silos across the government.techcabal.com

Why it matters

The federal government is driving Nigeria's push to become a leading artificial intelligence power in Africa, a goal that requires massive data integration. The stakes are high because AI is seen as crucial for digitizing governance and improving public services, such as tax collection and identity verification, which are core responsibilities of the central government.

This issue is not unique to Nigeria; countries leading in AI adoption are often those that have succeeded in integrating data and digitizing public services, rather than just building frontier models. The challenge is institutional, as agencies often classify and manage data differently, leading to a paradox where AI needs integrated data, but the institutions holding it are reluctant to share it.

What we don't know yet

  • What specific frameworks is the National Information Technology Development Agency developing to harmonize data classifications across agencies?
  • How will institutional rivalries and concerns over data ownership be resolved to enable unified digital infrastructure?

What would change this answer

The federal government successfully implements the National Cloud Policy and standardized data exchange frameworksThe fragmentation will decrease, allowing the national AI strategy to move from policy to progress, potentially accelerating service improvements.
Government agencies overcome concerns over data ownership and begin sharing datasetsThe digital ecosystem will become less fragmented, enabling AI systems to aggregate information and generate insights more effectively.

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