New York Times on the Importance of Domain Knowledge in Data Science

On Sunday, Quentin Hardy of the NYT Bits Blog writes about the promise of extracting new insights from large datasets: Citrine brings together machine learning expertise and deep materials domain knowledge.

Mr. Chui [of the McKinsey Global Institute] thinks that much analysis, like aerospace or agriculture, will also require specialist knowledge of what the critical data means, and how new patterns can be exploited. “The tools will get better, and that will raise the bar, but you will still need domain knowledge,” he said.