hi everyone my name is Michael hi I’m a journalist with taking Asia what we do
journalist with taking Asia what we do
journalist with taking Asia what we do is we try to connect Asia’s different
is we try to connect Asia’s different
is we try to connect Asia’s different tech startup ecosystems by finding and
tech startup ecosystems by finding and
tech startup ecosystems by finding and telling interesting stories about them
telling interesting stories about them
telling interesting stories about them and bringing them together through
and bringing them together through
and bringing them together through events and networks as you can imagine I
events and networks as you can imagine I
events and networks as you can imagine I spend a lot of time thinking about
spend a lot of time thinking about
spend a lot of time thinking about technology it’s something that I love
technology it’s something that I love
technology it’s something that I love and one of the things that I’ve been
and one of the things that I’ve been
and one of the things that I’ve been thinking a lot about lately is this is
thinking a lot about lately is this is
thinking a lot about lately is this is the future of work how it affects the
the future of work how it affects the
the future of work how it affects the way that we work and we’re going to work
way that we work and we’re going to work
way that we work and we’re going to work in the future so let me ask you
in the future so let me ask you
in the future so let me ask you something so who here has used Wikipedia
something so who here has used Wikipedia
something so who here has used Wikipedia before to look at things all right
before to look at things all right
before to look at things all right okay perforce but it’s not so long ago
okay perforce but it’s not so long ago
okay perforce but it’s not so long ago that encyclopedias were actually huge
that encyclopedias were actually huge
that encyclopedias were actually huge stacks of books that you have to pour
stacks of books that you have to pour
stacks of books that you have to pour over to find the information you wanted
over to find the information you wanted
over to find the information you wanted it’s not so long ago that we were using
it’s not so long ago that we were using
it’s not so long ago that we were using pens to write letters to people to
pens to write letters to people to
pens to write letters to people to communicate or for work things like no
communicate or for work things like no
communicate or for work things like no dear Esther I hope you’re well it’s been
dear Esther I hope you’re well it’s been
dear Esther I hope you’re well it’s been a month since my last letter yeah yeah
a month since my last letter yeah yeah
a month since my last letter yeah yeah yeah oh don’t forget the milk no but it
yeah oh don’t forget the milk no but it
yeah oh don’t forget the milk no but it doesn’t happen so much anymore now we
doesn’t happen so much anymore now we
doesn’t happen so much anymore now we use computers we use our phones we go on
use computers we use our phones we go on
use computers we use our phones we go on Google to learn how to cook curry rice
Google to learn how to cook curry rice
Google to learn how to cook curry rice for example or we would if this showed
for example or we would if this showed
for example or we would if this showed up they did or you know so look up how
up they did or you know so look up how
up they did or you know so look up how old by innothing is good you can
old by innothing is good you can
old by innothing is good you can actually look up right now on your phone
actually look up right now on your phone
actually look up right now on your phone and if you’re fast enough you can sell
and if you’re fast enough you can sell
and if you’re fast enough you can sell so Huizar we use our phones to get cars
so Huizar we use our phones to get cars
so Huizar we use our phones to get cars to our doors to drive us places we use
to our doors to drive us places we use
to our doors to drive us places we use our phones to get people to do military
our phones to get people to do military
our phones to get people to do military force which I swear it’s a real thing
force which I swear it’s a real thing
force which I swear it’s a real thing and we have food alone yeah technology
and we have food alone yeah technology
and we have food alone yeah technology is always affected the way that would
is always affected the way that would
is always affected the way that would work and it keeps on doing that um this
work and it keeps on doing that um this
work and it keeps on doing that um this examples that I mentioned are part of
examples that I mentioned are part of
examples that I mentioned are part of what’s called the sharing comm which is
what’s called the sharing comm which is
what’s called the sharing comm which is people were able to get jobs on demand
people were able to get jobs on demand
people were able to get jobs on demand on their phones from
on their phones from
on their phones from as people like uber drivers as people
as people like uber drivers as people
as people like uber drivers as people like food delivery guys its Airbnb hosts
like food delivery guys its Airbnb hosts
like food delivery guys its Airbnb hosts so the sharing economy is made possible
so the sharing economy is made possible
so the sharing economy is made possible by technological advancements in smart
by technological advancements in smart
by technological advancements in smart phones and the way that we store data
phones and the way that we store data
phones and the way that we store data online in the way that we access data um
online in the way that we access data um
online in the way that we access data um so technology now brings us to a point
so technology now brings us to a point
so technology now brings us to a point that’s very similar to something that
that’s very similar to something that
that’s very similar to something that actually happened 200 years ago around
actually happened 200 years ago around
actually happened 200 years ago around all right there it was called the
all right there it was called the
all right there it was called the Industrial Revolution and what it was
Industrial Revolution and what it was
Industrial Revolution and what it was was the first time that people had to
was the first time that people had to
was the first time that people had to work automation machines that could do
work automation machines that could do
work automation machines that could do the job that people used to do so
the job that people used to do so
the job that people used to do so suddenly people like Weaver’s or iron
suddenly people like Weaver’s or iron
suddenly people like Weaver’s or iron workers or horse cart drivers or
workers or horse cart drivers or
workers or horse cart drivers or whatever something found out that their
whatever something found out that their
whatever something found out that their jobs can be done by machines much faster
jobs can be done by machines much faster
jobs can be done by machines much faster much more efficient of Mutchler
much more efficient of Mutchler
much more efficient of Mutchler Disclosure scale now for these people
Disclosure scale now for these people
Disclosure scale now for these people the coming of technology coming out of
the coming of technology coming out of
the coming of technology coming out of Asia was something that pulled the rug
Asia was something that pulled the rug
Asia was something that pulled the rug out from under it was kind of the end of
out from under it was kind of the end of
out from under it was kind of the end of the world they were not prepared for it
the world they were not prepared for it
the world they were not prepared for it they had no idea what’s coming
they had no idea what’s coming
they had no idea what’s coming the factories in fact thought it was a
the factories in fact thought it was a
the factories in fact thought it was a good idea to put children to work so
good idea to put children to work so
good idea to put children to work so that they can teach them those jobs
that they can teach them those jobs
that they can teach them those jobs there’s new jobs and they could have
there’s new jobs and they could have
there’s new jobs and they could have workers for the future so now these days
workers for the future so now these days
workers for the future so now these days we’re living through another Industrial
we’re living through another Industrial
we’re living through another Industrial Revolution and this one’s called
Revolution and this one’s called
Revolution and this one’s called Industrial Revolution 4.0 because we’re
Industrial Revolution 4.0 because we’re
Industrial Revolution 4.0 because we’re all digital now
all digital now
all digital now yeah and this one has the potential to
yeah and this one has the potential to
yeah and this one has the potential to change our lives much more refinement in
change our lives much more refinement in
change our lives much more refinement in the metal because this one is driven by
the metal because this one is driven by
the metal because this one is driven by artificial intelligence or AI now AI is
artificial intelligence or AI now AI is
artificial intelligence or AI now AI is the ability of a computer to make
the ability of a computer to make
the ability of a computer to make decisions to solve problems based on
decisions to solve problems based on
decisions to solve problems based on incredible amounts of data without any
incredible amounts of data without any
incredible amounts of data without any human help now this is a very simplistic
human help now this is a very simplistic
human help now this is a very simplistic definition and it doesn’t even begin to
definition and it doesn’t even begin to
definition and it doesn’t even begin to cover the potential of AI nor what it
cover the potential of AI nor what it
cover the potential of AI nor what it can do good samples examples of AI exist
can do good samples examples of AI exist
can do good samples examples of AI exist everywhere around us
everywhere around us
everywhere around us Serio arrival says it an abaya it takes
Serio arrival says it an abaya it takes
Serio arrival says it an abaya it takes instructions from you and he tries to
instructions from you and he tries to
instructions from you and he tries to understand them and then it looks online
understand them and then it looks online
understand them and then it looks online to find the answer there’s not business
to find the answer there’s not business
to find the answer there’s not business Shubin on the other side just
Shubin on the other side just
Shubin on the other side just frantically googling you know I old Ryan
frantically googling you know I old Ryan
frantically googling you know I old Ryan Gossling she’s 37 by the way I don’t
Gossling she’s 37 by the way I don’t
Gossling she’s 37 by the way I don’t know same same day Amazon’s Alexa it
know same same day Amazon’s Alexa it
know same same day Amazon’s Alexa it it’s a poem VI that takes instructions
it’s a poem VI that takes instructions
it’s a poem VI that takes instructions and it can turn your air conditioner
and it can turn your air conditioner
and it can turn your air conditioner they can play your favorite music Google
they can play your favorite music Google
they can play your favorite music Google photos on Android forums it can
photos on Android forums it can
photos on Android forums it can recognize for example features and
recognize for example features and
recognize for example features and pictures like smiles so if you search
pictures like smiles so if you search
pictures like smiles so if you search for spots is going to show me those
for spots is going to show me those
for spots is going to show me those pictures now as technology advances the
pictures now as technology advances the
pictures now as technology advances the leaves it takes get bigger and more
leaves it takes get bigger and more
leaves it takes get bigger and more impactful and more important think about
impactful and more important think about
impactful and more important think about the 1960s one astronauts went to the
the 1960s one astronauts went to the
the 1960s one astronauts went to the moon this was what they used find a way
moon this was what they used find a way
moon this was what they used find a way this was the computer on the Apollo
this was the computer on the Apollo
this was the computer on the Apollo spaceship the Apollo guidance computer
spaceship the Apollo guidance computer
spaceship the Apollo guidance computer Jo Hobart fulness again they say that
Jo Hobart fulness again they say that
Jo Hobart fulness again they say that the iPhone in your pocket is actually
the iPhone in your pocket is actually
the iPhone in your pocket is actually tens of thousands of science faster than
tens of thousands of science faster than
tens of thousands of science faster than this computer and this thing buns the
this computer and this thing buns the
this computer and this thing buns the moon so in the same way this new
moon so in the same way this new
moon so in the same way this new industrial revolution is expected to
industrial revolution is expected to
industrial revolution is expected to affect a lot more people than it did
affect a lot more people than it did
affect a lot more people than it did last time is last time it affected
last time is last time it affected
last time is last time it affected people who work with our hands people
people who work with our hands people
people who work with our hands people who work with tools because machines
who work with tools because machines
who work with tools because machines were suddenly better tools now it’s
were suddenly better tools now it’s
were suddenly better tools now it’s going to affect people who work with
going to affect people who work with
going to affect people who work with their brains because machines are
their brains because machines are
their brains because machines are becoming more powerful more powerful
becoming more powerful more powerful
becoming more powerful more powerful brains now who here has used uber
brains now who here has used uber
brains now who here has used uber bracket for a lot how would you feel if
bracket for a lot how would you feel if
bracket for a lot how would you feel if next time you hooked it a ride on your
next time you hooked it a ride on your
next time you hooked it a ride on your wrap a car without a driver
wrap a car without a driver
wrap a car without a driver children now uber is actually testing
children now uber is actually testing
children now uber is actually testing district Knology right now driverless
district Knology right now driverless
district Knology right now driverless cars Rab is doing the same thing here in
cars Rab is doing the same thing here in
cars Rab is doing the same thing here in Singapore
Singapore
Singapore working with a company called new time
working with a company called new time
working with a company called new time now if they succeed you’re not going to
now if they succeed you’re not going to
now if they succeed you’re not going to need this right
need this right
need this right the cars will just show up driving
the cars will just show up driving
the cars will just show up driving places I assume a lot of people buy
places I assume a lot of people buy
places I assume a lot of people buy stuff here from eBay or Amazon or Lozado
stuff here from eBay or Amazon or Lozado
stuff here from eBay or Amazon or Lozado Taobao well how would you feel if next
Taobao well how would you feel if next
Taobao well how would you feel if next time you bought a dress to our set of
time you bought a dress to our set of
time you bought a dress to our set of speakers a drone showed up and just drop
speakers a drone showed up and just drop
speakers a drone showed up and just drop it in your doorstep for your Mountain
it in your doorstep for your Mountain
it in your doorstep for your Mountain Amazon and UPS are actually testing this
Amazon and UPS are actually testing this
Amazon and UPS are actually testing this technology right now autonomous drones
technology right now autonomous drones
technology right now autonomous drones that can do deliveries these drones will
that can do deliveries these drones will
that can do deliveries these drones will be able to find the fastest route of
be able to find the fastest route of
be able to find the fastest route of your house they’re going to know the
your house they’re going to know the
your house they’re going to know the best time to find you there you’re not
best time to find you there you’re not
best time to find you there you’re not going to need careers anymore and that
going to need careers anymore and that
going to need careers anymore and that doesn’t sound like such good news for
doesn’t sound like such good news for
doesn’t sound like such good news for the drivers inquiries does it McKinsey
the drivers inquiries does it McKinsey
the drivers inquiries does it McKinsey which is this international consulting
which is this international consulting
which is this international consulting firm did a study this year and it found
firm did a study this year and it found
firm did a study this year and it found that five percent of all jobs worldwide
that five percent of all jobs worldwide
that five percent of all jobs worldwide can be done by extremes completely but
can be done by extremes completely but
can be done by extremes completely but no humans required now that doesn’t
no humans required now that doesn’t
no humans required now that doesn’t sound so bad it is five percent of job
sound so bad it is five percent of job
sound so bad it is five percent of job okay it’s not so many job but it also
okay it’s not so many job but it also
okay it’s not so many job but it also found that 30 percent of activity on 60
found that 30 percent of activity on 60
found that 30 percent of activity on 60 percent of other jobs can be automated
percent of other jobs can be automated
percent of other jobs can be automated and this means that not all jobs will be
and this means that not all jobs will be
and this means that not all jobs will be lost in machines but a lot of jobs most
lost in machines but a lot of jobs most
lost in machines but a lot of jobs most shops are going to require fewer people
shops are going to require fewer people
shops are going to require fewer people to to live hey Bob law firms for example
to to live hey Bob law firms for example
to to live hey Bob law firms for example the employee paralegals employee jump
the employee paralegals employee jump
the employee paralegals employee jump lawyers to go through hundreds and
lawyers to go through hundreds and
lawyers to go through hundreds and thousands of pages of contracts and
thousands of pages of contracts and
thousands of pages of contracts and documents looking for mistakes making
documents looking for mistakes making
documents looking for mistakes making sure that everything is okay software
sure that everything is okay software
sure that everything is okay software can now do this on its own much faster
can now do this on its own much faster
can now do this on its own much faster and as it learns as it gains experience
and as it learns as it gains experience
and as it learns as it gains experience in actions start to create these
in actions start to create these
in actions start to create these documents itself so law firms are going
documents itself so law firms are going
documents itself so law firms are going to need fewer bar illegals fewer young
to need fewer bar illegals fewer young
to need fewer bar illegals fewer young lawyers to do this to reach out the bank
lawyers to do this to reach out the bank
lawyers to do this to reach out the bank JP Morgan uses a software called
JP Morgan uses a software called
JP Morgan uses a software called contract intelligence and it found that
contract intelligence and it found that
contract intelligence and it found that it can do it in seconds well took its
it can do it in seconds well took its
it can do it in seconds well took its lawyers 360 thousand hours now this type
lawyers 360 thousand hours now this type
lawyers 360 thousand hours now this type of difference is insane there’s a
of difference is insane there’s a
of difference is insane there’s a company in the devil it’s called Sam
company in the devil it’s called Sam
company in the devil it’s called Sam black they created an artificial
black they created an artificial
black they created an artificial call jury bond which looks very cute but
call jury bond which looks very cute but
call jury bond which looks very cute but what this does is it can accurately
what this does is it can accurately
what this does is it can accurately predict the outcome of criminal cases
predict the outcome of criminal cases
predict the outcome of criminal cases so jury but again is a sort of database
so jury but again is a sort of database
so jury but again is a sort of database for law students and gamblers to look up
for law students and gamblers to look up
for law students and gamblers to look up data from past cases to to find out who
data from past cases to to find out who
data from past cases to to find out who the parties were who the lawyers were
the parties were who the lawyers were
the parties were who the lawyers were what the facts were on what laws were
what the facts were on what laws were
what the facts were on what laws were applied which sounds pretty helpful but
applied which sounds pretty helpful but
applied which sounds pretty helpful but the company found out that with all this
the company found out that with all this
the company found out that with all this data the bots could actually predict the
data the bots could actually predict the
data the bots could actually predict the judges decision which kind of makes the
judges decision which kind of makes the
judges decision which kind of makes the body into a bit of a judge it’s all
body into a bit of a judge it’s all
body into a bit of a judge it’s all anything u.s. there are companies from
anything u.s. there are companies from
anything u.s. there are companies from for making AI that can do your taxes
for making AI that can do your taxes
for making AI that can do your taxes which means by buying a copy gems and
which means by buying a copy gems and
which means by buying a copy gems and maybe you’re thinking all right you know
maybe you’re thinking all right you know
maybe you’re thinking all right you know these jobs I thought they were safer but
these jobs I thought they were safer but
these jobs I thought they were safer but maybe not but I don’t care because I
maybe not but I don’t care because I
maybe not but I don’t care because I want to be a writer I want to be an
want to be a writer I want to be an
want to be a writer I want to be an artist I want to be infestation well
artist I want to be infestation well
artist I want to be infestation well think again because AI can actually do
think again because AI can actually do
think again because AI can actually do his job as well last year The Associated
his job as well last year The Associated
his job as well last year The Associated Press experimented with AI to write
Press experimented with AI to write
Press experimented with AI to write sports articles now the system was
sports articles now the system was
sports articles now the system was taking data from sports games like you
taking data from sports games like you
taking data from sports games like you know how many points this player scored
know how many points this player scored
know how many points this player scored or how long the overtime was or whatever
or how long the overtime was or whatever
or how long the overtime was or whatever and just crank out absorbance and you
and just crank out absorbance and you
and just crank out absorbance and you know I don’t know what that says but
know I don’t know what that says but
know I don’t know what that says but scores writing in general but they were
scores writing in general but they were
scores writing in general but they were actually very good I do in China which
actually very good I do in China which
actually very good I do in China which is the Chinese Google basically we
is the Chinese Google basically we
is the Chinese Google basically we created an AI that can look at images
created an AI that can look at images
created an AI that can look at images and decide what what would they have
and decide what what would they have
and decide what what would they have like are they happy I’m purchased are
like are they happy I’m purchased are
like are they happy I’m purchased are they sad inches and based on that if you
they sad inches and based on that if you
they sad inches and based on that if you compose original music general this
compose original music general this
compose original music general this guy’s
it’s writing is evil musk is one of the
it’s writing is evil musk is one of the smartest people in the world these his
smartest people in the world these his
smartest people in the world these his companies made rockets that go to space
companies made rockets that go to space
companies made rockets that go to space missions and electric cars that pretty
missions and electric cars that pretty
missions and electric cars that pretty soon they’re going to be able to drive
soon they’re going to be able to drive
soon they’re going to be able to drive themselves – and he thinks that it’s so
themselves – and he thinks that it’s so
themselves – and he thinks that it’s so inevitable that we’re going to lose jobs
inevitable that we’re going to lose jobs
inevitable that we’re going to lose jobs to AI to automation that governments
to AI to automation that governments
to AI to automation that governments should start paying us a steady income
should start paying us a steady income
should start paying us a steady income to make up for which some Canaanites
to make up for which some Canaanites
to make up for which some Canaanites look I don’t know what happened you know
look I don’t know what happened you know
look I don’t know what happened you know he likes it the World Economic Forum
he likes it the World Economic Forum
he likes it the World Economic Forum which is this conference by some of the
which is this conference by some of the
which is this conference by some of the most important people in the world has
most important people in the world has
most important people in the world has predicted that by 2020 seven million
predicted that by 2020 seven million
predicted that by 2020 seven million jobs will be lost to automation but to
jobs will be lost to automation but to
jobs will be lost to automation but to really a new job be created because of
really a new job be created because of
really a new job be created because of it so in total that’s like five million
it so in total that’s like five million
it so in total that’s like five million jobs now these new jobs are going to
jobs now these new jobs are going to
jobs now these new jobs are going to look a bit like this Givi roboticist who
look a bit like this Givi roboticist who
look a bit like this Givi roboticist who liberals who maintain workers engineers
liberals who maintain workers engineers
liberals who maintain workers engineers software engineers who build the code
software engineers who build the code
software engineers who build the code that power our devices of which we have
that power our devices of which we have
that power our devices of which we have more and more every day it’s going to be
more and more every day it’s going to be
more and more every day it’s going to be data scientists who make sense out of
data scientists who make sense out of
data scientists who make sense out of all the data we generate on a daily
all the data we generate on a daily
all the data we generate on a daily basis and it’s going to be researchers
basis and it’s going to be researchers
basis and it’s going to be researchers scientists but people who drive this
scientists but people who drive this
scientists but people who drive this innovation in the first place the World
innovation in the first place the World
innovation in the first place the World Economic Forum also predicts that what’s
Economic Forum also predicts that what’s
Economic Forum also predicts that what’s going to be in demand the skills that
going to be in demand the skills that
going to be in demand the skills that are going to be important are Sasuke’s
are going to be important are Sasuke’s
are going to be important are Sasuke’s human skills evil skills skills like
human skills evil skills skills like
human skills evil skills skills like negotiation skills like leadership
negotiation skills like leadership
negotiation skills like leadership collaboration sharing things that humans
collaboration sharing things that humans
collaboration sharing things that humans can still do a little bit better than
can still do a little bit better than
can still do a little bit better than robots how long that lasts
robots how long that lasts
robots how long that lasts I can tell you and what this means is
are these jobs going to be lost is a
are these jobs going to be lost is a lawyer or an accountant not a good
lawyer or an accountant not a good
lawyer or an accountant not a good career choice anymore well we don’t know
career choice anymore well we don’t know
career choice anymore well we don’t know and that that question has so many
and that that question has so many
and that that question has so many variables that it’s not really important
variables that it’s not really important
variables that it’s not really important but what is certain is that we need to
but what is certain is that we need to
but what is certain is that we need to be prepared for this change the way you
be prepared for this change the way you
be prepared for this change the way you can be prepared is by building up our
can be prepared is by building up our
can be prepared is by building up our skills learning you stuff keep upgrading
skills learning you stuff keep upgrading
skills learning you stuff keep upgrading not just in school but also at work I’ve
not just in school but also at work I’ve
not just in school but also at work I’ve worked both as a lawyer and as a
worked both as a lawyer and as a
worked both as a lawyer and as a journalist and to be honest I’m I’d be
journalist and to be honest I’m I’d be
journalist and to be honest I’m I’d be kinda thrilled by boss that can do this
kinda thrilled by boss that can do this
kinda thrilled by boss that can do this this job because good be agent Shelton
this job because good be agent Shelton
this job because good be agent Shelton like if I could just put an AI to read
like if I could just put an AI to read
like if I could just put an AI to read like hundreds of pages of documents or
like hundreds of pages of documents or
like hundreds of pages of documents or to get them to write or use articles for
to get them to write or use articles for
to get them to write or use articles for me that sounds great
me that sounds great
me that sounds great but it means that maybe I’m less
but it means that maybe I’m less
but it means that maybe I’m less valuable to my boss
valuable to my boss
valuable to my boss maybe I don’t get as much money maybe I
maybe I don’t get as much money maybe I
maybe I don’t get as much money maybe I need to learn how to do new stuff maybe
need to learn how to do new stuff maybe
need to learn how to do new stuff maybe maybe it has to be coding maybe it has
maybe it has to be coding maybe it has
maybe it has to be coding maybe it has to be um you know judging from the state
to be um you know judging from the state
to be um you know judging from the state of these slides maybe has to be
of these slides maybe has to be
of these slides maybe has to be Photoshop so most governments right now
Photoshop so most governments right now
Photoshop so most governments right now are not prepared to be able to there was
are not prepared to be able to there was
are not prepared to be able to there was a study by the US government um that
a study by the US government um that
a study by the US government um that found that the infrastructure in the
found that the infrastructure in the
found that the infrastructure in the u.s. is not enough to be able to teach
u.s. is not enough to be able to teach
u.s. is not enough to be able to teach students and workers new skills to
students and workers new skills to
students and workers new skills to counter automation because this kind of
counter automation because this kind of
counter automation because this kind of technological advancement does not stop
technological advancement does not stop
technological advancement does not stop it’s not going to wait
it’s not going to wait
it’s not going to wait Singapore has been a lot better like
Singapore has been a lot better like
Singapore has been a lot better like this for the past few years Singapore
this for the past few years Singapore
this for the past few years Singapore has stressed the importance of its
has stressed the importance of its
has stressed the importance of its citizens learning new skills upgrading
citizens learning new skills upgrading
citizens learning new skills upgrading with initiatives like skillsfuture which
with initiatives like skillsfuture which
with initiatives like skillsfuture which gives every working Singaporean credit
gives every working Singaporean credit
gives every working Singaporean credit money to learn use guilt I’ve met
money to learn use guilt I’ve met
money to learn use guilt I’ve met journalists who use it to learn French
journalists who use it to learn French
journalists who use it to learn French I’ve met people who use it to get
I’ve met people who use it to get
I’ve met people who use it to get computer classes enjoyed a 16-2 126,000
computer classes enjoyed a 16-2 126,000
computer classes enjoyed a 16-2 126,000 Singaporeans had taken classes with
Singaporeans had taken classes with
Singaporeans had taken classes with skillsfuture
skillsfuture
skillsfuture which shows that there still room for
which shows that there still room for
which shows that there still room for improvement but now we will use it same
improvement but now we will use it same
improvement but now we will use it same will also is introducing program coding
will also is introducing program coding
will also is introducing program coding in schools a lot sooner now as soon as
in schools a lot sooner now as soon as
in schools a lot sooner now as soon as Ola and there are companies that are
Ola and there are companies that are
Ola and there are companies that are working with the government to introduce
working with the government to introduce
working with the government to introduce technology in preschool teaching
technology in preschool teaching
technology in preschool teaching preschoolers computational thinking
preschoolers computational thinking
preschoolers computational thinking which is the basis for learning how to
which is the basis for learning how to
which is the basis for learning how to program Singapore aspires to be a small
program Singapore aspires to be a small
program Singapore aspires to be a small nation in a nation connected idea
nation in a nation connected idea
nation in a nation connected idea psychology and to do that it needs to
psychology and to do that it needs to
psychology and to do that it needs to get people familiar with ecology you
get people familiar with ecology you
get people familiar with ecology you need to get them to learn to work with
need to get them to learn to work with
need to get them to learn to work with technology to to learn your bracelet
technology to to learn your bracelet
technology to to learn your bracelet change of this magnitude is tough it’s
change of this magnitude is tough it’s
change of this magnitude is tough it’s never easy it’s so fundamental that it
never easy it’s so fundamental that it
never easy it’s so fundamental that it pulls the rug out from others but change
pulls the rug out from others but change
pulls the rug out from others but change can also be opportunity it can be
can also be opportunity it can be
can also be opportunity it can be opportunity to learn to adapt to create
opportunity to learn to adapt to create
opportunity to learn to adapt to create it can be an opportunity to challenge
it can be an opportunity to challenge
it can be an opportunity to challenge our thinking and to a great ideas that’s
our thinking and to a great ideas that’s
our thinking and to a great ideas that’s when it’s no longer just change its
when it’s no longer just change its
when it’s no longer just change its problems and
”
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