Only 6% of Natural Language Processing solutions are built for emerging countries’ languages which represent 68% of the world’s population not covered and somehow excluded from the AI revolution.
In the African market, businesses and organisations face significant challenges in gathering and analysing data due to the linguistic diversity and varying degrees of digital penetration across the continent. Indeed there are more than 2000 languages & dialects in Africa.
Traditional analytics tools often fall short when it comes to processing local languages or understanding the cultural context behind the data, leading to a gap in actionable insights.
Furthermore, the fragmentation of data sources—ranging from social media and customer support to surveys and alternative data—complicates the analytics process, making it difficult for organisations to obtain a comprehensive view of their stakeholders and often keeping the data siloed within different departments..