How to apply natural language processing in the enterprise

It's no secret that artificial intelligence (AI) is rapidly transitioning out of R&D labs and into the mainstream market for enterprise applications. Leaders in the computer vision space, such as those developing autonomous cars, have continually made headlines as the new technology breaks ground. Applications beyond computer vision are increasingly gaining recognition, as well, including those dealing with non-spatial data, such as text and numbers. The most famous "non-vision" examples include well-known technologies beating the best of the best in highly complex abstract strategy games like Go, which is said to hold more possibilities than the total number of atoms in the visible universe. Do the examples set by industry leaders, like IBM's Watson, mean that AI technology is finally arriving for enterprise applications with the capability to power business transformation?