What do you do when data quality is bad?

I've been assigned an AI/ML project, and I've identified that the data quality is not good. It's within a large organization, which makes it challenging to find a straightforward solution to the data quality problem. Personally, I'm feeling uncomfortable about proceeding further. Interestingly, my manager and other colleagues don't seem to share the same level of concern as I do. They are more inclined to continue the project and generate "output". Their primary worried about what to delivery to CIO. …

colleagues data data quality datascience good manager organization project quality solution