The Lagos Chamber of Commerce and Industry (LCCI) recently hosted its AI Summit at Commerce House, Lagos, where industry leaders and tech experts issued a stark warning: Nigeria’s ambitions to become a continental leader in Artificial Intelligence (AI) are being held back by a critical lack of high-quality, structured data.
While the Nigerian AI market is projected to exceed $430 million by the end of 2026, stakeholders at the summit emphasized that without “data integrity,” most AI projects will remain stuck in the experimental phase.
LCCI President, Leye Kupoluyi, and other speakers highlighted that AI is only as smart as the information it is fed. In Nigeria, several factors are contributing to a “data gap” that makes it difficult to train reliable AI models:
• Fragmentation: Data is often stored in silos across different government agencies and private firms, making it difficult to build comprehensive datasets.
• Inconsistency: Poor standardization means that records—such as names, addresses, and financial figures—are often formatted differently, leading to errors in AI processing.
• Lack of Localization: Many AI tools used in Nigeria are trained on Western datasets, which may not understand local nuances, languages, or market behaviors.
Why It Matters for the Economy
The summit focused on how AI is no longer a luxury but a “core input” for modern production. Experts noted that poor data quality directly impacts three key areas:
1. Fintech: Inaccurate data leads to flawed credit scoring and higher risks in fraud detection.
2. Logistics: Without precise location and traffic data, AI-driven delivery optimizations lose their efficiency.
3. Agriculture: Unreliable weather and soil data prevent farmers from making the “yield decisions” necessary to boost food security.
To overcome these hurdles, Segun Okuneye, Chair of the LCCI ICT Group, called for a shift from “global hype” to “practical implementation.” The summit recommended several key pillars for a successful AI transition:
• Collaborative Ecosystems: Partnerships between the government, academia, and the private sector to share and standardize data.
• Capacity Building: Training a new generation of “data cleaners” and engineers who can prepare Nigerian data for AI readiness.
• Infrastructure Investment: Expanding the digital tools required to store and process large-scale datasets securely.
Following the launch by the Ministry of Communications, Innovation and Digital Economy to create a structured framework for development.
The discussion also touched on the legal side of data. With the Nigeria Data Protection Commission (NDPC) increasing its oversight, businesses were reminded that collecting “high-quality data” must go hand-in-hand with strict privacy standards.
As Nigeria continues its digital transformation, the LCCI Summit served as a reminder that the “AI revolution” isn’t just about flashy software it’s about the hard, behind-the-scenes work of organizing the nation’s data.
