Machine Learning, Artificial Intelligence, Big Data, Biotechnology, Other.
100 percent, and it will, unless something’s gone catastrophically wrong, never be 0 percent. There’s more nuanced judgment calls to be made at every step, and so it’s much more important to be statistically rigorous in the boundaries of what you know and what you can apply that to. For example,