The world of big data is at an inflection point. We have crafted a rich collection of methods for gathering, managing, and analyzing massive data sets in business, government, public policy, and our day-to-day lives. On top of this, our analytics capabilities make it possible to discover powerful correlations, trends, and predictions in the data we have. More recently, the rise of machine learning has given us even greater power to mine our data for information.
But this is not the end of the game. The numbers alone simply do not provide us with what we really need: information and insight. The data is only the first step in making these insights available and useful to the decision makers who need them.
In this talk, I will outline where we are with regard to data analytics and how the technology of automatic narrative generation from data plays the crucial role of bridging the gap between the big data world of numbers and symbols and our need for understandable insights. I will dive into use cases from business, education, and everyday life to show how the power of automatically generated narratives can provide us all with the insights that are still trapped in the wealth of data we now control.