
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.
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.
These developing issues should be on every leader’s radar screen, data executives say.