Because of all this potential people have been really eager to invest in data science.
It’s easy to think about it as magic. Perform a bit of analysis and derive novel insights.
Sprinkle some deep learning and make your product more engaging.
But this is not necessarily helpful, to startups or to the field.
Instead we need to understand what tools and techniques data science can provide and the circumstances in which they are appropriate.