At an abstract level, the theme of the field is concerned with extracting actionable and interpretable knowledge from data in as efficient a manner as possible. The primary purpose of this panel, in the context of this underlying theme, is to consider the following questions. What have been the major successes and breakthroughs that we as a field can point to with pride? What have been the critical mistakes or mis-steps that have been taken along the way? And finally, what can we hope to learn from both our successes and mistakes and how can this knowledge be used to determine how to focus our efforts in the future?