The goal of pursuing small data is to create a truly human-like intelligent machine capable of learning the way children do when exploring the world for the first time.

Big data gets a ton of press. It’s glamorous and mysterious. Humans don’t understand or comprehend, so it belongs solely in the realm of the machines. The (re)emergence of small data aims to change that.

While businesses do need so much information to manage insights, it’s expensive. The AI black box makes it difficult to understand conclusions or have oversight. And companies are looking for faster, more efficient ways to train models to do what they need.

Enter: Small data, which is the “realm of humans.” A new push to reduce training times is bringing it back. It’s easier to grasp conclusions until explainable AI debuts. And it looks like small data could be this year’s newest trend.

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