Despite its power, AI technologies on their own are needy and complex. Large organizations are devoting entire data science and engineering teams to the extensive and expensive work of developing and training machine learning algorithms. These IT projects often fail, not for lack of in-house talent, but for reasons that are beyond the control on a single business.