& Machine Learning

Machine learning solutions can miss the mark when data scientists don’t check their assumptions. Adopting a beginner’s mindset in any domain can help.

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.

New machine learning technologies offer potential value creation through sound detection, analysis, and creation.

Figuring out the right approaches to generative AI is a process replete with ambiguity, experiments, and changes of mind.

Across the vast range of real-world usage scenarios, there have been far more instances of augmentation of human work by smart machines than of full automation. That scenario is expected to continue for the foreseeable future.