AI and Machine Learning

Many companies develop AI models without a solid foundation on which to base predictions — leading to mistrust and failures. Here’s how statistics can help improve results.

AI will require continuous learning: Leaders need to embrace that uncomfortable reality and prioritize developing AI literacy.

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.