Engineers often impose restrictions that can stifle creativity in data science projects, leading to a reliance on established methods. It's crucial to create an environment where data scientists can freely experiment without the risk of disrupting production systems. Strong isolation between production pipelines and experimentation ensures that innovation can thrive while maintaining operational integrity.
