4 reasons AI projects fail that have nothing to do with technology

Having worked with dozens of companies in various stages of AI adoption, I’ve had a front-row seat to the myriad reasons (and sometimes excuses) why AI projects fail to launch, fail to make it past pilots or fail to deliver business value and ROI. While every organization’s circumstances are unique, the root causes are often surprisingly familiar. Like so many technological leaps that came before AI, fear, culture and competing priorities are often the biggest barriers to enterprise success.