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Shashwat Pradhan – Founder & CEOシャシュワット プラダーン
Problems around the Quantified Self1 Manual tracking
2 Too many apps/wearables to get data
3 Insufficient value from tracked data
Mobile enabling automatic- With new sensors in mobile and wearables
- Machine learning/AI algorithms
- Self-tracking can be automatic for everyone
Mobile enabling automatic- Google Fit & Apple Health helping consolidate fitness
data
- This extends to smart watches too
But data is not enough- Numbers are not enough to improve/implement
lifestyle change
- E.g. 50% users stop using their Fitbit in one year
But data is not enough- Users are not getting enough value from their data
- No improvements being made (eg. Weight loss)
Getting Value from data- Real-life/AI Coaches to help users take action on their
data
- Reports using aggregates, trends with graphs and story-telling with data
Privacy is key- Users conscious of where their personal data is going
- Data breaches can be risky for location or health data
Instant- Instant automatically tracks phone/app usage, travel,
sleep, fitness & places- Data- Phone sensor + Healthkit/Google Fit + O.S.- Machine learning/AI algorithms on top of data
Insights on your data- Apart from dashboard- Daily & weekly reports using
story-telling and graphs- Chatbot coach to query data and gives alerts from
trends and correlations
Insights on your data e.g. You have been spending more time on your phone since the last few days (35%), also you have been sleeping lesser (-20%)
Private- No user registration needed
- All tracked data stays only the smartphone
Future- Integrating with more apps, services & wearables
- Working with more sets of data HR, weight, etc
What Quantified Self users are looking for- Better insights on their data to make apps/services
more sticky- Making tracking simpler, cheaper & less battery
intensive
For more
- Instant – http://instantapp.today
- For Quantified Self news & updates, Emberify blog: http://emberify.com/blog
- Contact me at [email protected]
Thank youありがとうございました