Dr. Leitch, thank you for the question.
My simple answer would be that the technological cost of data acquisition is coming down dramatically, virtually every minute of our lives. What has not changed is the challenge of making sense of that data, although there is always a kind of technological impulse to assume that there is some perfect equation, an algorithmic equation that's going to solve that problem for you.
I think the challenge is, in the face of the lowering cost of the technological component, to boost expenditure on the human talent that you need to say, “I have this pool of information on a computer in front of me, and I have systems that are screening it. Nevertheless, what am I making of this?” It's really the human talent part of the analytical challenge that I think is the most important. That requires a good analytical capacity—again, to come back to the things we talked about—human talent plus an organizational structure that makes sense.