Does fitness data make the average person healthier?
summary
About 25% of the crowd wears fitness trackers but raw data in vendor silos rarely changes health; IBM uses Watson APIs to join wearables, clinical, social and weather data and produce personalized nudges. A Fitbit family community example shows step drops predicting problems and preventing hospitalizations; Under Armour/MyFitnessPal contributes 4.5 million lives of data from a 170 million-user pool. Projects include smart inhalers with Teva and population-to-personalization scaling rather than an arbitrary 10,000 steps goal.
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chapters (8)
- 0:00Intro
- 0:29How many people are wearing fitness trackers
- 2:40How to convince people to use fitness trackers
- 4:26How to use fitness data within your family
- 5:55Importance of context
- 8:15Personalizing data
- 10:03Watson Health
- 13:05Conclusion
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