AI and Machine Learning
In AI We Trust — Too Much?
With AI still making wild mistakes, people need cues on when to second-guess the tools.
With AI still making wild mistakes, people need cues on when to second-guess the tools.
Even as organizations adopt increasingly powerful LLMs, they will find it difficult to shed their reliance on humans.
Lessons from two leading hospital systems show how to overcome the obstacles to automation.
Most AI/machine learning projects report only on technical metrics that don’t tell leaders how much business value could be delivered. To prevent project failures, press for business metrics instead.
A new framework helps leaders orchestrate human and AI agents to accurately forecast product demand.