Successful deployment of ML models tends to result from a good fit of the technology and the context. In this talk I will focus on the African context which is synonymous with developing context but I want to argue there is a difference. I will expound on the opportunities and challenges that this unique context provides and the assumptions made in deploying in such a context and how well they fit. Another angle of the talk will be on deployment with a view to influence societal good which may be different from deployment in a production system. I will also draw insights from some projects I have been engaged in towards this end.

Live presentation