DevOps is characterized by the acceleration of processes to ensure continuous delivery without compromising high software quality. Balancing speed and quality is quite a challenging task, though. Data issues are among the most significant problems encountered by DevOps teams. These can be worse in the context of AI development, where massive amounts of data play a crucial role in machine learning.