The field of ML is largely focused on just getting predictions with fancy models. Estimating the uncertainty, unexpectedness and perplexity of specific predictions is highly underappreciated in common practice.<p>Even though it is highly economically valuable to be able to tell to what extent you can trust a prediction, the modelling of uncertainty of ML pipelines remains an academic affair in my experience.