A few years ago the term big data was quite hot. But a comment someone made stays with me: Big data has arrived but big insights have not. Therein lays the challenge. I think that’s why data science and machine learning is now so important.
I’m a scientist by training, and one of the key things we were taught in school is correlation does not imply causation. Just because this and that happened, that doesn’t mean because of A, B happened. Of course the biggest challenge is to distill the correlations that are just incidental from causation. That’s where a lot of the work is happening. That’s the value.