In my experience leading transformation initiatives, I have seen many similarities between broader business transformations and AI transformations, but there is one key difference – in AI, the world is still highly experimental. In fact, 3 out of 4 of AI projects fail to show positive returns on investment. Because of this, there hasn't been a map of what AI success at scale really looks like. It remains uncharted territory for enterprises. In October 2019, we commissioned a study with Inc.digital, where we talked to 550 executives across a variety of industries to understand why enterprises don't more frequently see tangible, measurable results from AI. Through this research, we were able to determine the DNA of the few that are successful with their AI strategy – the one common thread is keeping the AI strategy, data, technology, people and processes close to the core and controlled.