Embracing Uncertainty: A Lesson From COVID Analytics

We are all painfully aware that there is plenty of uncertainty in the data we analyze and in the results that we generate through data science processes. Most of the time, we focus on removing as much uncertainty as possible in the attempt to provide the single “best” answer to the question we’ve been asked. However, when uncertainty is unusually high, we can serve ourselves and our sponsors better if we embrace the uncertainty instead of trying to fully contain it. In this blog, I’ll provide a ...