Talk
When Fintech Speaks Africa’s Languages
How voice AI and local languages could redefine financial inclusion
Africa speaks over 2,000 languages; today’s AI language models support about 42 of them.
This keynote starts from the customer most fintechs and most AI assume: one who reads, writes and types, often in a second language, on a smartphone. Much of Africa’s market speaks several languages, mixes them, and is reached by voice and familiar channels.
AI language and speech technology enters at several points: in the conversation with the customer, in fraud detection on the messages people actually send, in the supervision of those channels.
That capacity is not a given. For most African languages, the data, the models and the people who build them are scarce and often held elsewhere. The keynote looks at building them locally, and at what regulators and institutions need to use and oversee them.
It closes on the choices this opens: reach, who holds the data and the models, trust when the interface is a voice. The languages a service speaks decide who it serves.
Questions this talk answers
- 01Which customer do most fintechs and AI systems assume, and who falls outside that picture?
- 02Where does AI language and speech technology enter fintech: customer conversation, fraud detection, supervision?
- 03What does it take to build AI for African languages locally, and who should hold the data and the models?
Sources
Every number in this talk comes with its source on screen.
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