In some companies, managers seem to have a pact with AI service and software providers to treat AI as magic: No one understands what happens, but AI promises to deliver exactly what everyone hopes for, even if nobody knows what the result should be. Data scientists love such projects. They can do whatever excites them most – at least until some higher-level manager pulls the plug and terminates the project.
Such project failures root in mixing two aspects: first, what gets managers interested and, second, ...
