Asking the right questions matters. The various parts of an organization—C-suite, IT, marketing, operations, etc.—do NOT think alike. Therefore is it vital to know your audience and ask the questions that make sense for them—questions about the profit and ROI of your model for your audience, for example. As you work, ask yourself, “What is important to discover? How will my model help my audience?”
This talk focuses on the important questions that data scientists need to ask themselves, both in terms of developing suitable models for their audience and avoiding the pitfalls many data scientists still fall into with respect to over-fitting, algorithmic bias, and more.