All the fanfare over AI and its potential obscures its actual capabilities. Such misconceptions must be appropriately addressed so that the razzmatazz and the high expectations it engenders do not part company with reality, according to ML engineer Jacia Ebubechi.

Quality of healthcare and its outcomes have long lagged in Nigeria. Sluggish AI adoption, above all in data management, is partly to blame. Solving this problem would also do much to tackle other problems confronting Africa’s top economy and most populous nation.