Designing Data Solutions
Effective data product development requires a collaborative approach, involving key roles such as developers and data scientists to tackle specific business challenges. It's crucial to shift the focus from merely building models to understanding the decisions that will be made based on the insights generated. Utilizing low-fidelity prototypes with realistic data can help clarify user needs and drive actionable outcomes.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
658: How to Build Data and ML Products Users Love — with Brian T. O'Neill
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