When we are working on an AI project, does the domain/context (academia, industry, or competition) make the process different?

For example, I see in the competition most participants even winners use the stacking model, but I have not found anyone implementing it in the industry. How about the cross-validation process, I think there is a slight difference in industry and academia.

So, does the context/domain of an AI project will make the process different? If so, what are the things I need to pay attention to when creating an AI project based on its domain?