I recently participated in discussions on artificial intelligence in an event I attended in Lagos; Moonshot by techcabal. The discussions on AI centered around scaling the impact of artificial intelligence in Africa and it then occurred to me that what is there to scale when we're just getting started with artificial intelligence and when many organizations and companies are still in the infant stage of building an AI model specifically targeted at a problem. So in this episode, I discuss what exactly must be put in place before we begin to talk about scaling AI impact because scaling AI is just more than the plug-and-paly AI models; it starts from identifying its need in a business, the specific problem it intended to address to sourcing the appropriate data, important features that could make it easy for the model to learn what’s important to its training, evaluations, tunning, deployment measurements and up to enterprise level is a challenge.