By Chinenye Anuforo
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The global surge in AI-driven data traffic is compelling telecommunications operators worldwide to prioritise edge computing and Nigeria is no exception.
A new GSMA Intelligence report, “Distributed inference: AI adds a new dimension at the edge,” underscored the urgency of this shift, particularly for emerging markets like Nigeria.
While the potential of AI to revolutionise various sectors in Nigeria, such as fintech, agriculture and healthcare is undeniable, its implementation comes with unique challenges. Factors like inconsistent power supply and limited digital infrastructure necessitate a tailored approach to edge computing.
Louis Powell, Head of AI Initiatives at GSMA and Tim Hatt, Head of Research at GSMA Intelligence, emphasised that the benefits of edge AI, including cost savings and enhanced network resilience, are particularly relevant for Nigeria.
The benefits of edge AI are substantial. Cost savings are a primary driver, as processing data closer to the source reduces reliance on centralized cloud infrastructure. “By retaining 30% of traffic at the edge, an enterprise could save around 20% on energy usage,” noted Hatt. This also offers significant energy savings, estimated at 50-60%, by reducing backhaul transport and datacenter cooling.
Furthermore, edge AI enhances network resilience and ensures compliance with data sovereignty regulations. “Nations are prioritising in-country infrastructure to ensure resilience and security,” Powell explained. “Keeping data within national borders facilitates regulatory compliance for sensitive industries.”
“For Nigeria, where infrastructure can be a constraint, edge computing offers a way to optimize bandwidth and reduce reliance on centralised cloud infrastructure,” Powell stated.
Edge AI can be specifically relevant to Nigeria through Fintech Innovation. Nigeria’s vibrant fintech sector can leverage edge AI for real-time fraud detection and personalized financial services, crucial for a nation with increasing digital financial inclusion.
In a country heavily reliant on agriculture, edge AI can enable smart farming solutions, optimising crop yields and resource management, even in areas with limited connectivity. Edge AI can facilitate remote healthcare monitoring and diagnostics, addressing the challenges of limited access to healthcare facilities in rural areas.
Given the challenges of consistent power supply in the country, edge computing’s ability to reduce reliance on large, centralised data centers is a distinct advantage.
However, challenges remain. Significant investment in digital infrastructure is needed to support widespread edge AI deployment. Also, addressing the shortage of AI expertise through targeted training and education programs is crucial while establishing clear regulatory frameworks for data governance and AI ethics is essential.
“The potential of AI in driving economic growth in Nigeria is immense, but we must address the infrastructure and skills gaps to fully realize its benefits,” Hatt noted.
GSMA Intelligence’s upcoming tools and initiatives, including the interactive online calculator, will be invaluable for Nigerian operators and enterprises seeking to optimise their AI strategies. Furthermore, collaboration with local tech hubs and educational institutions is essential to build a robust AI ecosystem in Nigeria.
By tailoring edge AI solutions to Nigeria’s specific needs and challenges, the nation can harness the transformative power of AI to drive sustainable economic growth and improve the lives of its citizens.