Summary.
Recently I was sitting across the table from the executive leadership team of a global healthcare services company, and I could tell by their body language that something was off. They’d invited me in to consult on their AI strategy, but they seemed defensive. The Chief Information Officer, a sharp guy who’d clearly done his homework on emerging tech, launched into a detailed explanation of their new large language model. It was impressive, no doubt. This model automated their insanely complex data entry process — think mountains of handwritten patient forms and a chaotic mix of digital files — and consolidated everything into a single, coherent record. They’d spent well over a year developing and testing it, and were understandably proud of their accomplishment. But as he talked about the rollout, it was obvious to me that they were already lagging behind.