Much of what data scientists and analysts do can be considered as attempts to augment human intelligence. From reports to predictions to dashboards to recommendations to chatbots, we’re usually trying to make it faster or easier for people to make a decision or achieve a goal. Yet routinely we deliver analytics as if we expect the recipient to pause their initial goal and start a whole new task of data interpretation. What should we do differently if we’re really working with the human brain in order to increase its capabilities?
In this session, we will:
- Learn the history of the dashboard
- Identify how to deliver analytics that works with, not against, the limitations of the human brain
- Learn three key types of augmentation and what makes them succeed or fail