Learn how mobile data can help with home diagnosis and preventive healthcare through apps that are cognitive, connected and personal.

1. From mobile data to smart life.

2. Young Sohn – President and CSO Samsung Electronics
“In the end we really want to
know how sensors can help us to
better understand our body and
our health.
Why do we have to wait to see a
doctor to understand what
happens inside our body?
In the future there will be a lot
more home diagnosis and
preventive healthcare.
If not, we’ll be marching straight
into a financial disaster.”
De Tijd, 3rd June 2015

3. Devices will need to be cognitive
if we want to create personalized experiences
Sync Me See Me Know Me Be Me

4. direct mail
demographics
1928
connected
experience
telemarketing
+ telephone
1980
CRM
+ customer history
1990
behavioral
marketing
+ behavioral
profiling
2000
social
marketing
+ social circle
2008
+ real-time context
2015
EVOLUTION of customer engagement
Increasingly connected &
personalized

5. connected
experience
+ real-time context
2015
transforming marketing
into 1-to-1 Coaching

6. Declared
Observed
Content
Structured, explicit,
self-declared, and static
Context
Unstructured, time-series,
observed, and dynamic
TWO sides to the data story

7. Expected
Value
User
Acceptance
Accelerometer
Gyroscope
In-App Usage
Wi-FiGPS/Location
Light Sensor
Browsing
History
Calendar
Messages
GSR/HR
Microphone
Camera
USER ACCEPTANCE of sensor data is defined by the expected value

8. sensor data is the source for context-awareness
Sentiance unlocks contextual mobile experiences by mining sensor
data on smartphones, wearables and connected devices to
understand and predict the context, behavior and mood of your
mobile audience.
From mobile data to smart life.

9. sentiance
context suite
sentiance
platform
night owl
long commute
green commuter
at lunch
shopping
L2 moments
commute home
L3 profile
segments
SDK
L1 events
at the gym
parent (has kids)
on a train
noisy environment
in company
SENSOR DATA
PERSONALIZATION based on sensor data

10. sense and interpret the
contextual cues of a mobile
user
uncover habits and predict
human behavior
learn about the ever-changing
Personalities of a mobile user
L2 moments
L3 profile segments
L1 events
Layer 1
Layer 2
Layer 3
aggressive driver
…
…waking up
…
pet owner
sleeping
walking running
car subwaytrain
on the bus
boat
sitting standing
airplane*
biking
arriving at home, work, the gym, ...
shopping
lunchinactive
noisy environment*
in a meeting
horse*
home
working
in company*
full-time worker
workaholic
urban
watching tv
motorcycle
agitated*
suddenly stopped
tram
climbing*
*subject to sensor availability/capability and/or user permissions
CONTEXT defines the moment

11. situational
awareness goes beyond
simple geo-fencing. In the
background, pervasive sensing,
learning and classifying the
situation a user is in.
behavioral
profiling is based on real and
observed behavior, not on
snapshots of declared data, e.g.
Likes or Search queries. These
personas are the most accurate.
Sleeping Alone Driving Stress …
Arriving at Home About to go to Work …
EVENTS
MOMENTS
Shopaholic AthletePROFILES Workaholic
Aggressive Driver Unique User
…
…

12. “Best about an hour after I’ve arrived home
from work, so I have had time to eat. Not
the days I am picking up the kids. That
makes Mondays, Tuesdays and Fridays
between 4pm and 5:30pm. Unless I’m
stuck in traffic on the E313.“
semantic time activity moments
“Morning is when I wake up,
whatever time that may be. Afternoon
is when I have eaten something and
wander out shopping or whatever.
Night is when the kids are in bed and
I have a horror movie on.”
MORNING ROUTINE
LUNCH TIME
EVENING ROUTINE
NIGHT TIME
SLEEPING
SHOPPING
NIGHT OUT
COMMUTE
WORKING
LATE
SPORTS
BIKING
WAITING CITY TRIP
DOG WALK
AT
SCHOOL
…
INTERACT / TARGET at the right time

13. what does this mean in a
healthcare context
Today?

14. Become a better coach

15. Patient Activity monitoring
Patient recovery coaching
Track Activity levels
- walking, biking, moving, …
- detect and monitor patterns
Loyalty to therapy
Alerts – short term deviations
Review – set targets
Fall / Accident detection
Outside activities
Events this
month: 10
Physical activity level: LOW
Morning routine: Early Bird

16. senior citizen, retired
at home, lunch time
alone, inactive
improve patient insights

17. Improve patient insights
Track patients time line
• Interacting with Patients on Semantic time
• Morning, Lunch, Evening Routines
• Medication Alerts, Feedback reminders, Measurement
triggers
• Correlate findings to Profiles?
• Elderly monitoring
• Activity levels, places visited, pattern changes
• Driving behavior

18. 1 line
of code is required to integrate
our mobile SDK and start
building intelligent and
personalized user
experiences!
1 day
on a single battery charge
means your mobile users
won’t experience any
inconvenience!
EASY integration of our Software Development Kit into your mobile app

19. Layer 1
Layer 2
Layer 3
aggressive driver
…
…waking up
…
pet owner
sleeping
walking running
car subwaytrain
on the bus
boat
sitting standing
airplane*
biking
arriving at home, work, the gym, ...
shopping
lunchinactive
noisy environment*
in a meeting
horse*
home
working
in company*
full-time worker
workaholic
urban
watching tv
motorcycle
agitated*
suddenly stopped
tram
climbing*
*subject to sensor availability/capability and/or user permissions
Thank
you.
© 2015 – info@sentiance .com

20. profiling
map/reduce sensor
and context data
CRM
DMP
context store
API
MOBILE APP
insights
analytics
performance
reporting
dashboard
real-time layer
compute layer
training layer
campaign execution
• Ads
• segmentation
• push notification
• email
• SMS
• voice
• CRM updates
profile model
store
external
campaign
context model
store
raw data
(sensors, events)
profile store
SDK
in app
action
moment &
context
detection
self service
campaign
suite
real time layer
WHAT goes on in the back-end
SENTIANCE CLIENT

21. Smart city, driver profiling & fleet management
in partnership with Ghent University
USE CASE I

22. 8PM Today
PROFILE recommends transport mode based on
behavior, moment & environment to make the city smarter
WORKAHOLIC
PROFILE SEGMENT
TAILGATER
PROFILE SEGMENT
CITY WORKER
PROFILE SEGMENT
DRIVING
LEFT WORK
ON HIS WAY HOME
RECOMMENDED
TRANSPORT
TRAIN + E-BIKE

23. Predict the best moment to offer a limited promotion
offer
USE CASE II

24. 8PM Today
Personal offer:
Book now two tickets
and receive
€ 5 discount
AVOID pushing the (right) message at the wrong time
WORKAHOLIC
PROFILE SEGMENT
WEEKEND MOVIE LOVER
PROFILE SEGMENT
NIGHT OWL
PROFILE SEGMENT
SITTING
LEFT WORK
ON HIS FRIDAY LUNCH
BREAK

25. Optimize traditional advertising to achieve better ROI
USE CASE III

26. DETERMINE where & when your target audience is receptive to your traditional media
Make the
most of
your
travel
experience
No waiting line
Priority boarding
Earn flight rewardsVisit m.klm.com
WORKAHOLIC
PROFILE SEGMENT
CITY PERSON
PROFILE SEGMENT
FREQUENT AIR TRAVELER
PROFILE SEGMENT
COMMUTING
STANDING
ON HER WAY TO WORK

27. Thank
you.
© 2015 – info@sentiance .com