
[Music] as a child who grew up in the 70s I also
as a child who grew up in the 70s I also
as a child who grew up in the 70s I also enjoy watching the great movie from
enjoy watching the great movie from
enjoy watching the great movie from Charlie Chaplin they had no voice and no
Charlie Chaplin they had no voice and no
Charlie Chaplin they had no voice and no colors but they were full of joy and I
colors but they were full of joy and I
colors but they were full of joy and I remember in particular the movie more
remember in particular the movie more
remember in particular the movie more than times this is when Charlie was
than times this is when Charlie was
than times this is when Charlie was standing next to the Machine augmenting
standing next to the Machine augmenting
standing next to the Machine augmenting it with small repeated tasks all day
it with small repeated tasks all day
it with small repeated tasks all day long in an ever-growing paste and more
long in an ever-growing paste and more
long in an ever-growing paste and more particularly I remember the moment when
particularly I remember the moment when
particularly I remember the moment when Charlie wanted to go for a lunch break
Charlie wanted to go for a lunch break
Charlie wanted to go for a lunch break and he was handing the tool to his
and he was handing the tool to his
and he was handing the tool to his colleague and then all his buddies
colleague and then all his buddies
colleague and then all his buddies started to shake in a very very funny
started to shake in a very very funny
started to shake in a very very funny way one day I was watching this movie
way one day I was watching this movie
way one day I was watching this movie with my dad my dad was an engineer in
with my dad my dad was an engineer in
with my dad my dad was an engineer in one of those factories there were
one of those factories there were
one of those factories there were assembling communication devices and my
assembling communication devices and my
assembling communication devices and my dad told me that this movie is actually
dad told me that this movie is actually
dad told me that this movie is actually not very funny it actually showed the
not very funny it actually showed the
not very funny it actually showed the implication of the Second Industrial
implication of the Second Industrial
implication of the Second Industrial Revolution on the employees in this
Revolution on the employees in this
Revolution on the employees in this Factory those body shakes that I was
Factory those body shakes that I was
Factory those body shakes that I was laughing a lot a lot actually it
laughing a lot a lot actually it
laughing a lot a lot actually it indicates on a complete collapse of the
indicates on a complete collapse of the
indicates on a complete collapse of the nerve system of Charlie well I was a
nerve system of Charlie well I was a
nerve system of Charlie well I was a child I’ll didn’t understand all of that
child I’ll didn’t understand all of that
child I’ll didn’t understand all of that I was keep laughing watching these
I was keep laughing watching these
I was keep laughing watching these movies one day I joined my dad through
movies one day I joined my dad through
movies one day I joined my dad through his factory because I really want to see
his factory because I really want to see
his factory because I really want to see how this thing looks in real life
how this thing looks in real life
how this thing looks in real life and I remember the moment when we
and I remember the moment when we
and I remember the moment when we entered the manufacturing floor and
entered the manufacturing floor and
entered the manufacturing floor and there were dozens of people standing
there were dozens of people standing
there were dozens of people standing there doing small repeated tasks
there doing small repeated tasks
there doing small repeated tasks assembling the communication devices and
assembling the communication devices and
assembling the communication devices and pushing them for the machine for
pushing them for the machine for
pushing them for the machine for packaging and shipment and I was looking
packaging and shipment and I was looking
packaging and shipment and I was looking at these people and thinking so how is
at these people and thinking so how is
at these people and thinking so how is their life look like are they all gonna
their life look like are they all gonna
their life look like are they all gonna shake when they’re gonna go to lunch
shake when they’re gonna go to lunch
shake when they’re gonna go to lunch break at the really happy doing this
break at the really happy doing this
break at the really happy doing this task again and again every day I was
task again and again every day I was
task again and again every day I was really worried however my dad was quite
really worried however my dad was quite
really worried however my dad was quite happy he wanted to show me the new
happy he wanted to show me the new
happy he wanted to show me the new factory just built a new factory I said
factory just built a new factory I said
factory just built a new factory I said more people like this so the other day
more people like this so the other day
more people like this so the other day we went to the other factory and I
we went to the other factory and I
we went to the other factory and I remember the moment my dad opened the
remember the moment my dad opened the
remember the moment my dad opened the door and I saw dozens of robots
door and I saw dozens of robots
door and I saw dozens of robots everywhere there were robots were busy
everywhere there were robots were busy
everywhere there were robots were busy working assembling those communication
working assembling those communication
working assembling those communication devices very accurately representing a
devices very accurately representing a
devices very accurately representing a mazing thing but then I thought so what
mazing thing but then I thought so what
mazing thing but then I thought so what does it mean for the people from the
does it mean for the people from the
does it mean for the people from the other factory are they all gonna resist
other factory are they all gonna resist
other factory are they all gonna resist to this kind of
to this kind of
to this kind of Manufacturing are they all gonna strike
Manufacturing are they all gonna strike
Manufacturing are they all gonna strike are they gonna have financial problem
are they gonna have financial problem
are they gonna have financial problem are they also gonna lose their jobs
are they also gonna lose their jobs
are they also gonna lose their jobs because of these robots apparently I
because of these robots apparently I
because of these robots apparently I wasn’t the only person asking these kind
wasn’t the only person asking these kind
wasn’t the only person asking these kind of questions a lot of people in the
of questions a lot of people in the
of questions a lot of people in the industry worried from automation and
industry worried from automation and
industry worried from automation and robotics and many studies on the way
robotics and many studies on the way
robotics and many studies on the way educate us that actually did just good
educate us that actually did just good
educate us that actually did just good for our economy yes you need less people
for our economy yes you need less people
for our economy yes you need less people to stand and do small repeat the tasks
to stand and do small repeat the tasks
to stand and do small repeat the tasks again and again but you need more
again and again but you need more
again and again but you need more salespeople to sell the robots and you
salespeople to sell the robots and you
salespeople to sell the robots and you need more engineers to design the robots
need more engineers to design the robots
need more engineers to design the robots and you need more support people to
and you need more support people to
and you need more support people to support the robot so it is actually just
support the robot so it is actually just
support the robot so it is actually just a shift in the required skill set in the
a shift in the required skill set in the
a shift in the required skill set in the market there was no decline in a number
market there was no decline in a number
market there was no decline in a number of jobs that the market need and for
of jobs that the market need and for
of jobs that the market need and for those companies who adopted this kind of
those companies who adopted this kind of
those companies who adopted this kind of a change those country will embrace this
a change those country will embrace this
a change those country will embrace this kind of revolution they are actually the
kind of revolution they are actually the
kind of revolution they are actually the one who benefit the most they’ve seen an
one who benefit the most they’ve seen an
one who benefit the most they’ve seen an increase in productivity they’ve seen an
increase in productivity they’ve seen an
increase in productivity they’ve seen an increase in the GDP unlike other
increase in the GDP unlike other
increase in the GDP unlike other countries countries that had to fight
countries countries that had to fight
countries countries that had to fight against unions countries that didn’t
against unions countries that didn’t
against unions countries that didn’t understand that this is something good
understand that this is something good
understand that this is something good these are the one that actually lost the
these are the one that actually lost the
these are the one that actually lost the jobs these are the ones that actually
jobs these are the ones that actually
jobs these are the ones that actually work from their country moved to other
work from their country moved to other
work from their country moved to other countries who become more modern and
countries who become more modern and
countries who become more modern and more efficient having all these
more efficient having all these
more efficient having all these information when I had to choose what to
information when I had to choose what to
information when I had to choose what to learn in university for me it was quite
learn in university for me it was quite
learn in university for me it was quite obvious to go and learn Industrial
obvious to go and learn Industrial
obvious to go and learn Industrial Engineering because modern manufacturing
Engineering because modern manufacturing
Engineering because modern manufacturing is really what I like I have family of a
is really what I like I have family of a
is really what I like I have family of a lot many engineers vascular engineering
lot many engineers vascular engineering
lot many engineers vascular engineering Electrical Engineering from structural
Electrical Engineering from structural
Electrical Engineering from structural engineering but for me and that’s what
engineering but for me and that’s what
engineering but for me and that’s what engineering was the preferred job so I
engineering was the preferred job so I
engineering was the preferred job so I started my studies and pretty early
started my studies and pretty early
started my studies and pretty early everyone start to talk about the next
everyone start to talk about the next
everyone start to talk about the next revolution that is coming a big change
revolution that is coming a big change
revolution that is coming a big change is gonna happen in the market you don’t
is gonna happen in the market you don’t
is gonna happen in the market you don’t need to go to retail store anymore
need to go to retail store anymore
need to go to retail store anymore everything you can buy online you don’t
everything you can buy online you don’t
everything you can buy online you don’t need to go to sod to see the doctor in
need to go to sod to see the doctor in
need to go to sod to see the doctor in the clinic you can actually top over the
the clinic you can actually top over the
the clinic you can actually top over the video I look at that and say well I
video I look at that and say well I
video I look at that and say well I don’t really know what it is but if this
don’t really know what it is but if this
don’t really know what it is but if this is something really big I better learn
is something really big I better learn
is something really big I better learn that and actually be ready when the
that and actually be ready when the
that and actually be ready when the world is going to move to this world so
world is going to move to this world so
world is going to move to this world so I added to my studies a degree in
I added to my studies a degree in
I added to my studies a degree in information system and computer science
information system and computer science
information system and computer science and that obviously turned to be the
and that obviously turned to be the
and that obviously turned to be the internet the way we know it today four
internet the way we know it today four
internet the way we know it today four years after after I graduated
years after after I graduated
years after after I graduated I joined Intel for me Intel was a
I joined Intel for me Intel was a
I joined Intel for me Intel was a perfect combination from modern
perfect combination from modern
perfect combination from modern manufacturing and technology and the
manufacturing and technology and the
manufacturing and technology and the first day I came to Intel I remember the
first day I came to Intel I remember the
first day I came to Intel I remember the moment I look at the floor and it looks
moment I look at the floor and it looks
moment I look at the floor and it looks like this once again
like this once again
like this once again dozens of people in front of machine
dozens of people in front of machine
dozens of people in front of machine augmenting it with small repeated tasks
augmenting it with small repeated tasks
augmenting it with small repeated tasks all day long this time it was with data
all day long this time it was with data
all day long this time it was with data this time they were looking on the chart
this time they were looking on the chart
this time they were looking on the chart earth goes up and the chart that goes
earth goes up and the chart that goes
earth goes up and the chart that goes down and trying to explain the meaning
down and trying to explain the meaning
down and trying to explain the meaning what happened when these two charts are
what happened when these two charts are
what happened when these two charts are intersecting I look at it and say that’s
intersecting I look at it and say that’s
intersecting I look at it and say that’s that’s of course looks familiar from the
that’s of course looks familiar from the
that’s of course looks familiar from the days of Charlie and manufacturing so how
days of Charlie and manufacturing so how
days of Charlie and manufacturing so how this is going to evolve how automation
this is going to evolve how automation
this is going to evolve how automation gonna apply to this kind of people to
gonna apply to this kind of people to
gonna apply to this kind of people to the data revolution today everyone is
the data revolution today everyone is
the data revolution today everyone is talking about artificial intelligence
talking about artificial intelligence
talking about artificial intelligence what is artificial intelligence what
what is artificial intelligence what
what is artificial intelligence what exactly does it mean for us we as human
exactly does it mean for us we as human
exactly does it mean for us we as human were probably not the strongest in this
were probably not the strongest in this
were probably not the strongest in this universe we were probably not the
universe we were probably not the
universe we were probably not the fastest in this universe but most likely
fastest in this universe but most likely
fastest in this universe but most likely we are the most intelligent in this
we are the most intelligent in this
we are the most intelligent in this universe so if someone can really create
universe so if someone can really create
universe so if someone can really create artificial intelligence what does it
artificial intelligence what does it
artificial intelligence what does it mean for us if you ask the leaders of
mean for us if you ask the leaders of
mean for us if you ask the leaders of the world the political leaders will
the world the political leaders will
the world the political leaders will tell you well if you’re going to own
tell you well if you’re going to own
tell you well if you’re going to own that you can control the whole world
that you can control the whole world
that you can control the whole world well that’s the political view of that
well that’s the political view of that
well that’s the political view of that but if you ask the tech leaders of the
but if you ask the tech leaders of the
but if you ask the tech leaders of the world they will start to scare you and
world they will start to scare you and
world they will start to scare you and tell you we need to be very careful with
tell you we need to be very careful with
tell you we need to be very careful with this type of a technologies so a recent
this type of a technologies so a recent
this type of a technologies so a recent study actually put that into a test and
study actually put that into a test and
study actually put that into a test and actually tried to evaluate what is the
actually tried to evaluate what is the
actually tried to evaluate what is the IQ level of these algorithms comparing
IQ level of these algorithms comparing
IQ level of these algorithms comparing to humans and the results are quite
to humans and the results are quite
to humans and the results are quite amazing they’ve evaluated a technology
amazing they’ve evaluated a technology
amazing they’ve evaluated a technology from Google from Microsoft from Apple
from Google from Microsoft from Apple
from Google from Microsoft from Apple where billions of dollars have been
where billions of dollars have been
where billions of dollars have been invested in artificial intelligence and
invested in artificial intelligence and
invested in artificial intelligence and the results are amazing because we can
the results are amazing because we can
the results are amazing because we can see that the IQ level of these
see that the IQ level of these
see that the IQ level of these algorithms are still below a
algorithms are still below a
algorithms are still below a six-year-old child and even if they will
six-year-old child and even if they will
six-year-old child and even if they will continue to develop and even if they
continue to develop and even if they
continue to develop and even if they will be breakthrough and they will need
will be breakthrough and they will need
will be breakthrough and they will need a couple of breakthrough to have a big
a couple of breakthrough to have a big
a couple of breakthrough to have a big progress still there is a way to go to
progress still there is a way to go to
progress still there is a way to go to reach the IQ level of 18 years old
reach the IQ level of 18 years old
reach the IQ level of 18 years old person so I will really scare from that
person so I will really scare from that
person so I will really scare from that do we really think any 18 year old
do we really think any 18 year old
do we really think any 18 year old person can rule the world I truly
person can rule the world I truly
person can rule the world I truly believe that artificial intelligence
believe that artificial intelligence
believe that artificial intelligence this stage it’s a very very early stage
this stage it’s a very very early stage
this stage it’s a very very early stage and there’s still a way
and there’s still a way
and there’s still a way a long way to go and this is where we
a long way to go and this is where we
a long way to go and this is where we are today with artificial intelligence
are today with artificial intelligence
are today with artificial intelligence and we better call it different a I for
and we better call it different a I for
and we better call it different a I for me is not artificial intelligence it’s
me is not artificial intelligence it’s
me is not artificial intelligence it’s more likely augmented intelligence this
more likely augmented intelligence this
more likely augmented intelligence this is where the first time what the machine
is where the first time what the machine
is where the first time what the machine will augment the human rather than a
will augment the human rather than a
will augment the human rather than a human augment the machine with extra
human augment the machine with extra
human augment the machine with extra toss augment intelligence is what’s
toss augment intelligence is what’s
toss augment intelligence is what’s going to add a lot of productivity to
going to add a lot of productivity to
going to add a lot of productivity to our environment and yes there will be
our environment and yes there will be
our environment and yes there will be couple of occupation where there’s going
couple of occupation where there’s going
couple of occupation where there’s going to be completely automated they will be
to be completely automated they will be
to be completely automated they will be completely automated by this type of
completely automated by this type of
completely automated by this type of algorithms but it’s going to be just
algorithms but it’s going to be just
algorithms but it’s going to be just below 5% for about 60% of the occupation
below 5% for about 60% of the occupation
below 5% for about 60% of the occupation augmentative telogen s– will be able to
augmentative telogen s– will be able to
augmentative telogen s– will be able to automate 30 percent of the world imagine
automate 30 percent of the world imagine
automate 30 percent of the world imagine 30 percent of your work can be automated
30 percent of your work can be automated
30 percent of your work can be automated in an average weekday it means you’re
in an average weekday it means you’re
in an average weekday it means you’re gonna have one and a half days available
gonna have one and a half days available
gonna have one and a half days available for you so you can go further and learn
for you so you can go further and learn
for you so you can go further and learn something new you can be more productive
something new you can be more productive
something new you can be more productive or you can go and have some rest and
or you can go and have some rest and
or you can go and have some rest and release all the stress from the busy
release all the stress from the busy
release all the stress from the busy days that we all have our mentally
days that we all have our mentally
days that we all have our mentally telchines will have a lot of benefits
telchines will have a lot of benefits
telchines will have a lot of benefits for our market and industry and we will
for our market and industry and we will
for our market and industry and we will look on each and every industry the
look on each and every industry the
look on each and every industry the contribution to the growth of them can
contribution to the growth of them can
contribution to the growth of them can be phenomenal let’s take for example
be phenomenal let’s take for example
be phenomenal let’s take for example healthcare doctors are spending 10 years
healthcare doctors are spending 10 years
healthcare doctors are spending 10 years just learning medicine but then end up
just learning medicine but then end up
just learning medicine but then end up 70% of the time meeting patient and
70% of the time meeting patient and
70% of the time meeting patient and running diagnoses instead of doing
running diagnoses instead of doing
running diagnoses instead of doing research we can take that part and give
research we can take that part and give
research we can take that part and give it to augmented intelligence doing all
it to augmented intelligence doing all
it to augmented intelligence doing all the diagnostic and giving the doctor
the diagnostic and giving the doctor
the diagnostic and giving the doctor more time to do research finding a cure
more time to do research finding a cure
more time to do research finding a cure for the cancer same for the automotive
for the cancer same for the automotive
for the cancer same for the automotive we all know about autonomous car but
we all know about autonomous car but
we all know about autonomous car but imagine I can have a business with
imagine I can have a business with
imagine I can have a business with tracks all around this continent without
tracks all around this continent without
tracks all around this continent without having a single driver and it will be a
having a single driver and it will be a
having a single driver and it will be a very successful business go for
very successful business go for
very successful business go for education professor on university
education professor on university
education professor on university teaching their student year after year
teaching their student year after year
teaching their student year after year the same topic expect all student to
the same topic expect all student to
the same topic expect all student to have this the same progress and pass the
have this the same progress and pass the
have this the same progress and pass the exams our credit intelligence can
exams our credit intelligence can
exams our credit intelligence can actually tailor the process for each of
actually tailor the process for each of
actually tailor the process for each of the students and make sure they are
the students and make sure they are
the students and make sure they are progressing in their own pace but then
progressing in their own pace but then
progressing in their own pace but then release the time for the professor to go
release the time for the professor to go
release the time for the professor to go and do more research and find more
and do more research and find more
and do more research and find more interesting topic and innovation
interesting topic and innovation
interesting topic and innovation for their students they’re gonna be a
for their students they’re gonna be a
for their students they’re gonna be a great contribution in each of the
great contribution in each of the
great contribution in each of the markets and overall for countries and
markets and overall for countries and
markets and overall for countries and industry that will adopt and embraced
industry that will adopt and embraced
industry that will adopt and embraced augmented intelligence they will see an
augmented intelligence they will see an
augmented intelligence they will see an increase in GDP they will see more
increase in GDP they will see more
increase in GDP they will see more benefit for their environment we will
benefit for their environment we will
benefit for their environment we will have a better life having those kind of
have a better life having those kind of
have a better life having those kind of innovations and I truly believe that the
innovations and I truly believe that the
innovations and I truly believe that the Augmented workforce of the future will
Augmented workforce of the future will
Augmented workforce of the future will be a perfect combination between AI and
be a perfect combination between AI and
be a perfect combination between AI and human each focusing on what they know to
human each focusing on what they know to
human each focusing on what they know to do best and together working for a
do best and together working for a
do best and together working for a better life and a better economy so
better life and a better economy so
better life and a better economy so remember next time when someone asks you
remember next time when someone asks you
remember next time when someone asks you about AI ask yourself a question what
about AI ask yourself a question what
about AI ask yourself a question what would you do with an extra one and a
would you do with an extra one and a
would you do with an extra one and a half days a week thank you very much
half days a week thank you very much
half days a week thank you very much [Applause]
[Applause]
[Applause] [Music]
”
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