You're at odds with your team over data security in machine learning. How do you find common ground?
Disputes over data security in machine learning projects can create significant tension within teams. You may feel strongly about the need for robust security measures to protect sensitive information, while your colleagues might prioritize functionality or speed to market. Finding common ground requires a careful balance of addressing security concerns without hindering the project's progress.
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