You have “Big Data”, and – you want to not only predict events in your data – you need to understand WHY things happen. Then watch our “Gray hair and glasses” video: Paula explains why gray hair and glasses are correlated but neither causes the other. You will understand the difference between correlation and causation, and why “intelligent interventions” require more than “predictive models”.
Xplain Data
Uncover cause & effect relationships in complex data – key to AI
