As with all tools, data has uses because of complex contexts that include other objects, physics, social norms, social institutions, and human intentions.
Machine translation continues to make strides forward. Facial recognition, on the other hand, has entered the twilight zone.
Connecting the seeker to the information she seeks is not a new problem. Interaction design has been a stumbling block since the age of the card catalog.
As the world races ahead, purely data-driven approaches will become less attractive. Instead, we need to start gaining a deeper understanding of how to bridge the great divide which separates the artificial and the natural.