AI Is Defined Less by Intelligence, More by the Data It Learns From.

In this episode, I reflect on how AI often struggles in real-world situations not because it lacks intelligence, but because it lacks the right data.Using examples from agriculture, I explore how models trained on one region don’t always translate well to another, and how local context plays a key role in making AI truly useful.This episode is a simple reflection on how the value of AI may depend less on how advanced it is, and more on how closely it reflects the realities it’s meant to serve.