Date post: | 12-Aug-2015 |
Category: |
Healthcare |
Upload: | in-the-pocket |
View: | 409 times |
Download: | 2 times |
From mobile data to smart life.
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
Devices will need to be cognitiveif we want to create personalized experiences
Sync Me See Me Know Me Be Me
direct maildemographics
1928
connectedexperience
telemarketing+ telephone
1980
CRM+ customer history
1990
behavioralmarketing+ behavioral profiling
2000
socialmarketing+ social circle
2008
+ real-time context
2015
EVOLUTION of customer engagement
Increasingly connected & personalized
connectedexperience
+ real-time context
2015transforming marketinginto 1-to-1 Coaching
Declared
Observed
ContentStructured, explicit, self-declared, and static
ContextUnstructured, time-
series, observed, and dynamic
TWO sides to the data story
ExpectedValue
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
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.
sentiancecontext suite
sentianceplatform
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 trainnoisy environment
in company
SENSOR DATA
PERSONALIZATION based on sensor data
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
situationalawareness goes beyondsimple geo-fencing. In thebackground, pervasive sensing, learning and classifying the situation a user is in.
behavioralprofiling 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
…
…
“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
what does this mean in a healthcare context Today?
Become a better coach
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
senior citizen, retired
at home, lunch time
alone, inactive
improve patient insights
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
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 chargemeans your mobile userswon’t experience anyinconvenience!
EASY integration of our Software Development Kit into your mobile app
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
Thankyou.
© 2015 – info@sentiance .com
profiling
map/reduce sensor and context data
CRM
DMP
context store AP
I
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
Smart city, driver profiling & fleet management
in partnership with Ghent University
USE CASE I
8PM Today
PROFILE recommends transport mode based onbehavior, moment & environment to make the city smarter
WORKAHOLICPROFILE SEGMENT
TAILGATERPROFILE SEGMENT
CITY WORKERPROFILE SEGMENT
DRIVING
LEFT WORK
ON HIS WAY HOME
RECOMMENDED
TRANSPORT
TRAIN + E-BIKE
Predict the best moment to offer a limited promotion offer
USE CASE II
8PM Today
Personal offer: Book now two
tickets and receive € 5 discount
AVOID pushing the (right) message at the wrong time
WORKAHOLICPROFILE SEGMENT
WEEKEND MOVIE LOVERPROFILE SEGMENT
NIGHT OWLPROFILE SEGMENT
SITTING
LEFT WORK
ON HIS FRIDAY LUNCH BREAK
Optimize traditional advertising to achieve better ROI
USE CASE III
DETERMINE where & when your target audience is receptive to your traditional media
Make the most of your travel experience
No waiting linePriority boarding
Earn flight rewardsVisit m.klm.com
WORKAHOLICPROFILE SEGMENT
CITY PERSONPROFILE SEGMENT
FREQUENT AIR TRAVELERPROFILE SEGMENT
COMMUTING
STANDING
ON HER WAY TO WORK
Thankyou.
© 2015 – info@sentiance .com