Mobile Monday (October 2014) - Riding Global Tech Trends

Riding
Global
Tech
Trends
A
lens
to
think
about
startup
ideas
Zezan
Tam
-‐
@zezantam
EIR,
Melbourne
Accelerator
Program
Co-‐founder
PPTProducCvity.com
March
2014
MAP Tech Trends Presentation v2.pptx 1

Avoiding
exCncCon:
one
reason
to
care
about
tech
trends
Frederic
Tudor
The
“Ice
King”
of
Boston
• Unlocked
and
Produce
markets
• Drama7cally
fishing
industry
• Worth
century
1806
trade
for
US
Meat
increased
$660m
at
turn
of
GE
‘Monitor
Top’
Refrigerator
• Drama7cally
reduced
demand
for
transported
ice
• Survivors
invested
into
plant
ice
tech
and
moved
downstream
~1900

Digging
in:
a
more
posiCve
reason
to
care
about
tech
trends
Obvious
Path
Actually
build
technology
• Be
good
at
finding
and
retaining
technical
talent,
and
managing
technical
risk
• Have
the
capital
base
to
support
R&D
• S7ll
might
get
product-‐market
fit
wrong
AlternaCve
Path
“Get
ready”
• Build
“shovels”
–
infrastructure
or
distribu7on
channels
that
the
new
paradigm
will
s7ll
value
• “Entrench”
–
invest
into
a
network
advantage,
brand
posi7oning
or
capability

Example:
Getaround
entrenching
brand
and
capabiliCes
for
P2P
car
rentals
in
preparaCon
for
self-‐driving
cars
• Founded
at
SU
2009
• $19m
in
funding
• P2P
car
rental
• Competes
against
RelayRides,
ZipCar
1
2
3
Physical
exchange
of
keys
Car
must
be
returned
to
original
locaCon
Digital
unlocking
Car
sCll
returned
to
original
locaCon
Digital
unlocking
Car
drives
itself
to
sharing
locaCons
P2P
Rideshare
Marketplace
viability
increases
as
technology
increases

So
what
are
the
tech
trends,
and
how
do
you
think
about
them?
Timing
How
likely
is
this
to
really
happen?
What’s
a
prospec7ve
7me
line
for
technology?
What’s
a
prospec7ve
7meline
for
consumers?
Understanding
the
disrupCon
What
is
the
‘real’
market?
How
close
to
‘real
consumer
desire’
/
‘innate
human
need’
can
you
define
the
problem?
Does
the
technology
truly
allow
you
to
meet
this
problem
beSer?
Understanding
the
‘new
paradigm’
How
does
the
new
paradigm’s
value
chain
work?
Which
parts
are
new?
Which
parts
were
transported
from
the
old
place?
Therefore,
what
can
you
build
now?
However,
first
need
to
get
into
a
headspace
to
temporarily
suspend
reality
to
fully
appreciate
the
possibiliCes

Formally,
Singularity
University
is…

A
recipe
for
creaCng
a
Singularity
University

Founders:
“The
Brain”
Ray
Kurzweil
Inventor
Principal
inventor
of:
• first
CCD
flatbed
scanner
• omni-‐font
op7cal
character
recogni7on
• text-‐to-‐speech
reading
machine
for
the
blind
• others…
Futurist
89
out
of
108
predic7ons
correct
e.g.
chess
so^ware
would
beat
human
players
by
year
2000
-‐
Deep
Blue
defeats
Garry
Kasparov
in
1997
Googler
Currently
Director
of
Engineering
at
Google
Using
AI
and
Brain
Reverse
Engineering
techniques
for
Natural
Language
Understanding

Founders:
“The
Heart”
Peter
Diamandis

ExponenCal
growth:
technology
progression
is
inexorable
Moore’s
Law
• Price-‐performance
in
compu7ng
doubles
every
18
to
24
months
• Similar
trends
seen
in
other
fields
–
e.g.
genome
sequencing
speed
and
cost
• Exponen7al
vs
linear
– 30
linear
steps
is
30
– 30
exponen7al
steps
is
1
trillion
• Upshot:
technology
progression
is
inexorable,
and
may
sneak
up
on
you

Diverse
ecosystem
of
students,
faculty
and
guests
Students
Hannu
Rajaniemi
-‐
Finnish
born,
UK
based
PhD
in
Mathema7cs
of
String
Theory,
now
award
winning
SciFi
writer
Sony
Mordechai
-‐
Greek
born,
Romanian
based
business
magnate
Jorge
Soto
-‐
Director
of
Innova7on
for
President’s
Office
of
Mexico
Faculty
Brad
Templeton
-‐
Former
Chairman
EFF,
now
Google
Robocars
program
lead
and
advocate
Dan
Barry
-‐
Three
7me
NASA
astronaut
–
a^er
being
rejected
17
7mes
Dr
Daniel
Kra^
–
Founder
RegenMed,
Stanford
Medical
Faculty
and
part
7me
F-‐16
Fighter
Pilot
Guests
Steve
Jurvetson
–
Named
Partner
of
DFJ,
invested
in
SpaceX,
D-‐Wave,
Tesla
Marc
Andreessen
–
Founder
Netscape,
Founder
Andreessen
Horowitz
Hans
Rosling
–
Founder
GapMinder,
Professor
of
Interna7onal
Health
at
Karolinska
Ins7tute,
Legendary
Speaker

InteresCng
Tech
Trends
AI
and
RoboCcs
Nanotech
and
Digital
FabricaCon
Biotech
and
Bio-‐
informaCcs
Medicine
and
Neuroscience
Networks
and
CompuCng
?
Energy
and
Environment
Systems
Space
and
Physical
Sciences

AI/RoboCcs
-‐
Extract:
Self
driving
cars
Works
by
a
big
computer
processing
LIDAR
data
real-‐Cme
to
‘see’
Google
stated
in
2013
that
it
will
be
out
in
3-‐5
years
Volvo,
Audi,
Cadillac,
Nissan,
Toyota,
Tesla,
Mercedes-‐Benz,
Daimler
all
commiied
to
autonomous
cars
in
varying
forms
in
next
decade
RegulaCon
will
likely
be
biggest
hurdle
InteresCng
QuesCons
What
does
it
mean
that
transport
is
independent
of
humans?
For
global
logis7cs?
Personal
transport?
No
more
cars
owned:
Transport
aaS?
Super-‐Uber?
Getaround?
What
do
people
do
in
the
cars?
What
can
you
do
with
the
car
images?

AI/RoboCcs
–
Beier
performing
industrial
robots
/
Drones
InteresCng
QuesCons
How
might
TelePresence
robots
reshape
what
it
means
to
‘be
at
work’?
What
happens
to
human
workers
when
robots
get
beSer
and
beSer
at
manual
tasks?
Who
will
handle
retraining?

Medicine
Extract:
Digital
Medicine
/
Telemedicine
InteresCng
QuesCons
What
other
ver7cals
can
be
digi7sed?
Is
there
a
role
for
‘unifica7on’
of
data?
In
an
era
of
abundant
data
and
Quan7fied
Self,
understanding
/
interpreta7on
becomes
the
premium.
Is
there
a
way
to
create
plaoorms
for
shared
understanding?
What
opportuni7es
for
healthcare
distribu7on
exist
once
the
tyranny
of
distance
is
solved?
Who
will
take
this
‘last
mile’
to
those
that
need
it
most
in
developing
world?

Networks
and
CompuCng:
Internet
of
Things
InteresCng
QuesCons
What
to
do
with
the
torrent
of
data
everywhere?
What
informa7on
co-‐ordina7on
problems
have
s7ll
not
properly
been
solved?
E.g.
ridesharing
What
do
you
do
about
e-‐waste?

Digital
FabricaCon
-‐
Extract:
3D
prinCng
InteresCng
QuesCons
How
do
the
factors
of
‘on-‐demand’
and
‘customised’
change
the
retail
landscape?
Will
we
ever
need
so
many
warehouses
again?
Digital
Fabrica7on
changes
the
equa7on
from
‘sending
atoms’
to
‘sending
bits’.
How
does
the
maker
get
paid
in
a
world
where,
once
generated,
the
design
is
free
to
copy?
(Inspira7on
from
the
content
markets:
how
to
create
‘light
locks’
on
content
–
Valve,
iTunes)

Networks
and
CompuCng
-‐
BitCoin
InteresCng
QuesCons
What
opportuni7es
are
open
to
‘smart
money’?
Deriva7ves
contracts?
Seems
‘build
shovels’
is
the
smart
way
to
play
this
innova7on
at
the
moment

Biotech
–
Hacking
DNA
InteresCng
QuesCons
What’s
stopping
more
people
from
being
bio-‐engineers?
Are
there
‘shovels’
to
be
built?
Educa7on,
parts,
so^ware
tools,
systems/plaoorms/communi7es?
What
does
genomic
data
reveal
about
risk?
Health
insurance?
Pet
insurance?

Medicine
Extract:
Personalised
Medicine,
Stem
Cell
and
Gene
Therapy,
and
In
Vitro
Meat
InteresCng
QuesCons
What
is
the
nature
of
food
distribu7on
when
it’s
‘on-‐demand’?
What
happens
when
people
live
much
longer?
(Big
ques7on!)

Energy
–
Fracking,
Solar,
Storage,
Distributed
GeneraCon
InteresCng
QuesCons
How
to
take
advantage
of
move
from
supplying
energy
to
supplying
“energy
services”?
E.g.
last
mile
problem
in
the
developing
world
s7ll
to
be
solved

Space
–
Space
X,
ArduLab,
Planetary
Resources
InteresCng
QuesCons
What
opportuni7es
do
increased
transparency
open
up,
once
you
have
more
geosta7onary
satellites
/
“up
to
date”
Google
Earth?
Precious
metals
become
ubiquitous
–
how
do
these
changes
in
economics
suddenly
make
other
fields
viable?

Some
closing
thoughts
Be
excited
about
the
future…
…think
BIG…
…because
you
don’t
have
to
be
in
the
back
seat!

Mobile Monday (October 2014) - Riding Global Tech Trends

More Related Content

What's hot

Viewers also liked

Similar to Mobile Monday (October 2014) - Riding Global Tech Trends

Mobile Monday (October 2014) - Riding Global Tech Trends