The document discusses building data science applications and describes an example application for activity recognition using accelerometer data from mobile phones. It then discusses how the same framework could be applied to problems in other domains like preventing oil spills using IoT sensor data or influencing customer behavior for banks using financial transaction data. The framework involves ingesting and storing streaming data, building machine learning models for prediction, and operationalizing the models as APIs for real-time scoring.