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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 
MAP Tech Trends Presentation v2.pptx 2
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 
MAP Tech Trends Presentation v2.pptx 3
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 
MAP Tech Trends Presentation v2.pptx 4
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 
MAP Tech Trends Presentation v2.pptx 5
Formally, 
Singularity 
University 
is… 
MAP Tech Trends Presentation v2.pptx 6
A 
recipe 
for 
creaCng 
a 
Singularity 
University 
MAP Tech Trends Presentation v2.pptx 7
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 
MAP Tech Trends Presentation v2.pptx 8
Founders: 
“The 
Heart” 
Peter 
Diamandis 
MAP Tech Trends Presentation v2.pptx 9
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 
MAP Tech Trends Presentation v2.pptx 10
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 
MAP Tech Trends Presentation v2.pptx 11
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 
MAP Tech Trends Presentation v2.pptx 12
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 
MAP Tech Trends Presentation v2.pptx 13
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 
MAP Tech Trends Presentation v2.pptx 14
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? 
MAP Tech Trends Presentation v2.pptx 15
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? 
MAP Tech Trends Presentation v2.pptx 16
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? 
MAP Tech Trends Presentation v2.pptx 17
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? 
MAP Tech Trends Presentation v2.pptx 18
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) 
MAP Tech Trends Presentation v2.pptx 19
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 
MAP Tech Trends Presentation v2.pptx 20
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? 
MAP Tech Trends Presentation v2.pptx 21
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!) 
MAP Tech Trends Presentation v2.pptx 22
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 
MAP Tech Trends Presentation v2.pptx 23
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? 
MAP Tech Trends Presentation v2.pptx 24
Some 
closing 
thoughts 
Be 
excited 
about 
the 
future… 
…think 
BIG… 
…because 
you 
don’t 
have 
to 
be 
in 
the 
back 
seat! 
MAP Tech Trends Presentation v2.pptx 25

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Mobile Monday (October 2014) - Riding Global Tech Trends

  • 1. 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
  • 2. 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 MAP Tech Trends Presentation v2.pptx 2
  • 3. 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 MAP Tech Trends Presentation v2.pptx 3
  • 4. 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 MAP Tech Trends Presentation v2.pptx 4
  • 5. 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 MAP Tech Trends Presentation v2.pptx 5
  • 6. Formally, Singularity University is… MAP Tech Trends Presentation v2.pptx 6
  • 7. A recipe for creaCng a Singularity University MAP Tech Trends Presentation v2.pptx 7
  • 8. 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 MAP Tech Trends Presentation v2.pptx 8
  • 9. Founders: “The Heart” Peter Diamandis MAP Tech Trends Presentation v2.pptx 9
  • 10. 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 MAP Tech Trends Presentation v2.pptx 10
  • 11. 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 MAP Tech Trends Presentation v2.pptx 11
  • 12. 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 MAP Tech Trends Presentation v2.pptx 12
  • 13. 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 MAP Tech Trends Presentation v2.pptx 13
  • 14. 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 MAP Tech Trends Presentation v2.pptx 14
  • 15. 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? MAP Tech Trends Presentation v2.pptx 15
  • 16. 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? MAP Tech Trends Presentation v2.pptx 16
  • 17. 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? MAP Tech Trends Presentation v2.pptx 17
  • 18. 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? MAP Tech Trends Presentation v2.pptx 18
  • 19. 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) MAP Tech Trends Presentation v2.pptx 19
  • 20. 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 MAP Tech Trends Presentation v2.pptx 20
  • 21. 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? MAP Tech Trends Presentation v2.pptx 21
  • 22. 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!) MAP Tech Trends Presentation v2.pptx 22
  • 23. 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 MAP Tech Trends Presentation v2.pptx 23
  • 24. 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? MAP Tech Trends Presentation v2.pptx 24
  • 25. Some closing thoughts Be excited about the future… …think BIG… …because you don’t have to be in the back seat! MAP Tech Trends Presentation v2.pptx 25