1. A REPORT FROM THE
SINGULARITY

2. SU?

4. TO
USE
EXPONENTIALLY
GROWING
TECHNOLOGIES
TO
POSITIVELY
IMPACT
1
BILLION
PEOPLE
IN
TEN
YEARS
80
STUDENTS
FROM
36
COUNTRIES
BROUGHT
TOGETHER

5. “EXPONENTIALLY
GROWING
TECHNOLOGIES?”

6. COMPUTERS
DOUBLE
THEIR
PROCESSING
POWER
EVERY
TWO
YEARS.

8. “There
is
a
world
market
for
maybe
five
computers.”
-­‐
Tom
Watson,
Founder
of
IBM
“Cinema
is
a
fad.”
-­‐
Charlie
Chaplin
“Flight
by
machines
heavier
than
air
is
unpracZcal
and
insignificant,
if
not
u[erly
impossible.”
-­‐
Canadian
mathemaZcian
Simon
Newcomb,
18
months
before
the
Wright
Brothers’
flight

9. SINGULARITY TRAINS BUSINESS LEADERS,
ENTREPRENEURS, SCIENTISTS, &
INNOVATORS TO THINK EXPONENTIALLY.
MOST BUSINESSES,
GOVERNMENTS, SYSTEMS
PLANNERS THINK LINEARLY
ABOUT THE FUTURE OF
TECHNOLOGY.

10. Dr. Philipp Kallerhoff
Jumiya, Inc
Eli Mohamad
Jumiya, Inc

11. MEET
CHRIS

12. THE
INTERSECTION
OF
SYSTEMS

14. FOR
EXAMPLE:
CHRIS’
DOCTOR
BILLS
WERE
SENT
STRAIGHT
TO
A
COLLECTION
AGENCY,
HURTING
HIS
CREDIT
BY
100
POINTS.

15. 62OF
BANKRUPTCIES
ARE
BECAUSE
OF
MEDICAL
DEBT
AMERICAN JOURNAL OF MEDICINE, 2012
%

16. CREDIT
SCORING
IS
A
BLACK
BOX
Meet the gatekeepers.

20. IRMA
WORKED
WITH
CHRIS
AND
WALKED
WITH
HIM
HAND
IN
HAND.

22. HER
WORK
REQUIRES
AN
UNDERSTANDING
OF
HOW
MULTIPLE
SYSTEMS
INTERSECT
AND
EFFECT
CHRIS’
LIFE.

23. BUT
IRMA’S
ONLY
ONE
PERSON.

24. HOW
CAN
WE
BETTER
UNDERSTAND
HOW
COMPLEX
SYSTEMS
AND
BEHAVIORS
IMPACT
OUR
LIVES?

25. MACHINE
LEARNING
IS
FINDING
PATTERNS
IN
COMPLEXITY

26. NETFLIX & AMAZON RECOMMENDATIONS

28. WITH
PEOPLE
LIKE
CHRIS
IN
MIND:
OUR
TEAM
USED
MACHINE
LEARNING
EXPLORED
THE
CONNECTIONS
IN
HEALTH
AND
FINANCE.

29. SURVEYED
HEALTH

30. SURVEYED
FINANCE
$

31. THE
TEAM
FOUND
PATTERNS

32. RUNNING
HAS
6x
CORRELATION
WITH
TIMELY
BILL
PAYMENT

33. DRINKING
HAS
A
6x
CORRELATION
WITH
BANKRUPTCY

34. $80
%
ACCURACY

35. HOW
CAN
WE
LEARN
MORE
ABOUT
THESE
CONNECTIONS?

36. FIRST:

37. 250
million
transac5ons
500,000
users
Can
we
predict
member
behavior,
improve
profitability,
and
reduce
risk
by
looking
at
a
dataset
including:

38. PREDICT
DEFAULTS
WITH
80%
ACCURACY
RESULTS
DIFFERED
FROM
TRADITIONAL
CREDIT
SCORE
BY
10%
MODEL
APPROVES
1%
MORE
LOANS
AND
REDUCES
DEFAULTS
BY
15%
“For
example,
5%
of
your
members
would
be
10%
more
profitable
if
they
used
a
loan
product.
15%
of
those
members
are
very
likely
to
sign
up
for
the
product,
and
using
our
new
credit
risk
model
we
can
approve
10%
more
people
for
the
loan”
PREDICT
PRODUCT
LIFE
CYCLE
•
IMPROVE
PROFITABILITY
•
REDUCE
RISK
For
example:

39. THE
FIRST
MINIMUM
VIABLE
PRODUCT
NEXT:
CONNECT
THESE
FINDINGS
WITH
WELLNESS
BEHAVIOR.

40. The
account
that
improves
as
you
do.

41. Enable
members
to
increase
and
improve
access
to
financial
products
and
be
rewarded
for
a
healthier
lifestyle.

42. 42
By
engaging
in
healthy
behavior,
members
can
posi5vely
impact
their
financial
access
by
improving
rates
and
balances.

43. 43

44. 44
Use
data
from
devices
like
Nike+,
Fitbit,
Runkeeper,
or
100+
other
providers...

45. ...or
just
your
phone...

46. Purpose
1. Generate
new
revenue
from
exisZng
products
2. Help
retain
exisZng
and
a]ract
new
CU
members
3. Improve
overall
member
profitability,
reduce
lending
risk,
and
increase
repayment

51. Calls
to
ac5on
• The
research
suggests
healthy
living
members
are
be]er
risk
and
more
profitable
• Researchers
were
able
to
predict
the
next
best
product
using
transacZonal
data
• The
research
suggests
that
quanZfied
self
data
can
improve
the
predic5on
model
even
further
• AddiZonal
data
sets
-­‐
economic
or
locaZon
data,
for
example
-­‐
impact
on
consumer
behavior.

52. 52
IS
THERE
A
MEASURABLE
CONNECTION
BETWEEN
PHYSICAL
AND
FINANCIAL
HEALTH?
YES
CAN
WE
PREDICT
BEHAVIOR
BASED
ON
THOSE
CONNECTIONS?
YES
CAN
WE
USE
DATA
TO
PREDICT
AND
IMPROVE
MEMBERS
FINANCIAL
HEALTH?
YES
CAN
WE
INTEGRATE
HEALTH
AND
FINANCIAL
DATA
TO
MOVE
MEMBERS
ALONG
A
PATH
TO
TOTAL
WELLNESS?
WE
NEED
OPT-­‐IN
MEMBER
DATA
JOIN
THE
PILOT
PROJECT

53. Calls
to
ac5on
Get
involved
in
the
pilot
project
• Pilot
starts
in
July
and
will
last
9
months
• 3
credit
unions,
with
1
more
spot
available
• All
necessary
infrastructure
provided
through
plagorm
at
www.walkmo.re
• The
plagorm
will
be
adapted
to
fit
each
credit
union’s
needs

54. h]p://www.walkmo.re
eli.mohamad@singularityu.org
philipp.kallerhoff@singularityu.org
brentd@filene.org
QUESTIONS?
THANK
YOU!