<ul><li>The key lesson here is to think about how a technology or model will be used from the very beginning.</li><li>Start with the end goal in mind to ensure the model is developed in a way that provides valuable insights and actions.</li><li>Collaboration between product and data science teams is crucial for successful integration of models into the product.</li><li>Working in an agile way and building a Minimum Viable Product (MVP) can help save time and frustration on future projects.</li></ul>

Building Data Science Models: Product Lessons Learned from Focusing on the End Goal

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