He went on to explain that in our current data-age, Artificial Intelligence (AI) and Machine Learning (ML) are becoming buzzwords. However, we should think about these as tools for finding opportunities. With the growing popularity of these tools, we can use models to see where we should have been and look further to where the data shows us where we should go.
Bryce emphasized the importance of data governance models, processing analytics to identify current gaps or failures, and reporting back on areas needed for improvement. He further elaborated that we have to share the data in a way that provides insights, gets the point across, and tells a story about what is happening. By including all of these, the data will tell us a story that is compelling and useful.