7. ! Consumerization
of
IT
=
new
IT
that
first
emerges
in
the
consumer
market
spreads
into
business
organizations
7
8. ! Expect
that
every
worker
will
become
more
mobile
! How
to
secure
employee-‐owned
devices
which
have
access
to
corporate
information
! Mobile
communication,
collaboration
and
social
networking
will
become
a
corporate
need
and
a
vendor
battleground.
! New
devices
and
app.
stores
will
drive
an
explosion
in
consumer
mobile
applications
on
all
platforms,
some
of
these
will
enter
the
enterprise
8
9. !
!
Social
computing
technologies
combine
together
social
experience
and
computational
tools.
Social
computing
includes:
! Social
media
services
such
as
Facebook,
Twitter
and
Wikipedia.
! Technologies
such
as
collective
intelligence,
social
network
analysis
and
social
content
analysis
tools
9
12. ! Media
for
social
interaction,
using
highly
accessible
and
scalable
communication
techniques.
! The
use
of
web-‐based
and
mobile
technologies
to
turn
communication
into
interactive
dialogue.
! A
group
of
Internet-‐based
applications
that
build
on
the
foundations
of
Web
2.0,
which
allows
the
creation
and
exchange
of
user-‐generated
content.
12
15. “Collective
intelligence
is
groups
of
individuals
doing
things
collectively
that
seem
intelligent.”
-‐
Thomas
Malone,
Director,
MIT
Center
for
Collective
Intelligence
15
16. ! Amazon
Mechanical
Turk
! a
platform
on
which
crowdsourcing
tasks
called
"HITs"
(Human
Intelligence
Tasks")
can
be
created
and
publicized
and
people
can
execute
the
tasks
and
be
paid
for
doing
so.
16
17. ! reCAPTCHA
! uses
CAPTCHA
to
help
digitize
the
text
of
books
while
protecting
websites
from
bots
attempting
to
access
restricted
areas.
17
20. ! User-‐Generated
Content
! any
form
of
content
such
as
video,
blogs,
discussion
form
posts,
and
other
forms
of
media
that
was
created
by
consumers
of
an
online
system
or
service
! is
publically
available
to
others
consumers
Cover
of
Time
Magazine:
December
25,
2006
issue.
20
21. Source:
Defining
Web
2.0,
http://jenniferbarnett.wikispaces.com/Defining+Web+2.0
21
22. ! User-‐generated
contents
often
contain
opinions
and/or
sentiments.
! An
in-‐depth
analysis
of
these
opinionated
texts
could
reveal
potentially
useful
information,
e.g.,
! Preferences
of
people
towards
many
different
topics
including
news
events,
social
issues
and
commercial
products.
22
23. ! Brand
monitoring
! Reporting
on
political
or
new
product
campaigns
! Analysis
of
social
media
content
during
crises
and
natural
disaster
23