AI Implementation
Why Is Enterprise AI So Hard to Deploy? 3 Real Reasons and a Path That Works
Enterprise AI usually fails not because the model is weak, but because of three things: the data isn't connected, there's no scenario with clear ROI, and there's no forward-deployed engineering to make it work in production. Here's how to tell a pilot apart from real deployment—and a four-step path that moves AI from demo to daily business.
