Most enterprises that implement AI solutions have learned a bitter lesson along the way: The path to organizationwide AI adoption is far from simple, intuitive or easy. Arguably, the hardest thing about it is the lack of clear guidance. The absence of a simple, best practice guide has deeply frustrated companies all over the world over for the last decade, resulting in billions of dollars (in both direct investment and in people hours) going down the drain. The "AI guidebook" wasn't written yet, because it simply doesn't exist. These two letters, "AI," can mean natural language processing or computer vision or time series analysis -- each of which can be useful across a broad range of use cases. Combine this with the diversity of organizations that wish to deploy AI, each having their specific data, business needs and pain points, and you get an immensely diverse universe of AI solutions.