[Music] [Applause]
okay what that should be saying is why
okay what that should be saying is why 21st century India cannot do without
21st century India cannot do without
21st century India cannot do without artificial intelligence that’s what I’m
artificial intelligence that’s what I’m
artificial intelligence that’s what I’m here to talk to you guys about back in
here to talk to you guys about back in
here to talk to you guys about back in 2007 researchers hypothesized that one
2007 researchers hypothesized that one
2007 researchers hypothesized that one of the first signs of the gap closing
of the first signs of the gap closing
of the first signs of the gap closing between human intelligence and
between human intelligence and
between human intelligence and artificial intelligence would be the day
artificial intelligence would be the day
artificial intelligence would be the day when machines finally beat humans I’d go
when machines finally beat humans I’d go
when machines finally beat humans I’d go the ancient strategy game from China
the ancient strategy game from China
the ancient strategy game from China that’s more than 2,500 years old to
that’s more than 2,500 years old to
that’s more than 2,500 years old to understand why beating human beings at
understand why beating human beings at
understand why beating human beings at strategy games is so difficult for
strategy games is so difficult for
strategy games is so difficult for computers on the draw your attention to
computers on the draw your attention to
computers on the draw your attention to the 1996 1997 match between Garry
the 1996 1997 match between Garry
the 1996 1997 match between Garry Kasparov and deep blue by IBM deep blue
Kasparov and deep blue by IBM deep blue
Kasparov and deep blue by IBM deep blue beat Garry Kasparov using a brute-force
beat Garry Kasparov using a brute-force
beat Garry Kasparov using a brute-force approach to explore the set of candidate
approach to explore the set of candidate
approach to explore the set of candidate moves this is really impressive the
moves this is really impressive the
moves this is really impressive the total set of positions that are possible
total set of positions that are possible
total set of positions that are possible in chess is 10 ^ 123 the total atoms in
in chess is 10 ^ 123 the total atoms in
in chess is 10 ^ 123 the total atoms in the entire universe is just 10 ^ 80
the entire universe is just 10 ^ 80
the entire universe is just 10 ^ 80 to put that into context that difference
to put that into context that difference
to put that into context that difference is larger than the entire age of the
is larger than the entire age of the
is larger than the entire age of the universe in nanoseconds go on the other
universe in nanoseconds go on the other
universe in nanoseconds go on the other hand has a positional complexity of 10
hand has a positional complexity of 10
hand has a positional complexity of 10 to the power of 360 computer scan even
to the power of 360 computer scan even
to the power of 360 computer scan even begin to explore the space necessary to
begin to explore the space necessary to
begin to explore the space necessary to brute-force it computers have to mimic
brute-force it computers have to mimic
brute-force it computers have to mimic ingenuity creativity and intelligence to
ingenuity creativity and intelligence to
ingenuity creativity and intelligence to come up with the moves that would work
come up with the moves that would work
come up with the moves that would work they need to be able to feel and see
they need to be able to feel and see
they need to be able to feel and see patterns just two way humans see them in
patterns just two way humans see them in
patterns just two way humans see them in 2016 alphago built by some of the really
2016 alphago built by some of the really
2016 alphago built by some of the really smart people at Google beat one of the
smart people at Google beat one of the
smart people at Google beat one of the best mankind had to offer
best mankind had to offer
best mankind had to offer I’d go what surprised people though was
I’d go what surprised people though was
I’d go what surprised people though was the fact that it wasn’t even close
the fact that it wasn’t even close
the fact that it wasn’t even close alphago came up with moves that people
alphago came up with moves that people
alphago came up with moves that people who had played the game for decades had
who had played the game for decades had
who had played the game for decades had never even seen before in just a couple
never even seen before in just a couple
never even seen before in just a couple of years alphago had beat someone who
of years alphago had beat someone who
of years alphago had beat someone who had spent their entire life perfect
had spent their entire life perfect
had spent their entire life perfect in this game this dominance isn’t just
in this game this dominance isn’t just
in this game this dominance isn’t just limited to games though today AI follows
limited to games though today AI follows
limited to games though today AI follows us everywhere when you’re stalking your
us everywhere when you’re stalking your
us everywhere when you’re stalking your girlfriend on Facebook it’s AI that
girlfriend on Facebook it’s AI that
girlfriend on Facebook it’s AI that powers the ads that you see AI shows you
powers the ads that you see AI shows you
powers the ads that you see AI shows you which movies you’re likely to want to
which movies you’re likely to want to
which movies you’re likely to want to watch and knows what songs you prefer
watch and knows what songs you prefer
watch and knows what songs you prefer even before you know it yourself it
even before you know it yourself it
even before you know it yourself it drives cars better than you do it can
drives cars better than you do it can
drives cars better than you do it can read CT scans better than humans have
read CT scans better than humans have
read CT scans better than humans have ever been able to do it and today it
ever been able to do it and today it
ever been able to do it and today it even directs our traffic the rate at
even directs our traffic the rate at
even directs our traffic the rate at which investments in artificial
which investments in artificial
which investments in artificial intelligence are increasing it’s almost
intelligence are increasing it’s almost
intelligence are increasing it’s almost certain that almost every job or task
certain that almost every job or task
certain that almost every job or task that involves simple logic or involves
that involves simple logic or involves
that involves simple logic or involves basic hand-eye coordination is likely to
basic hand-eye coordination is likely to
basic hand-eye coordination is likely to be automated away now when I tell this
be automated away now when I tell this
be automated away now when I tell this story or talk about these things to most
story or talk about these things to most
story or talk about these things to most people in India the people don’t believe
people in India the people don’t believe
people in India the people don’t believe me usually come from two camps the first
me usually come from two camps the first
me usually come from two camps the first line of thinking goes something like
line of thinking goes something like
line of thinking goes something like this yeah it’s coming but it’s still
this yeah it’s coming but it’s still
this yeah it’s coming but it’s still pretty far away it’s going to take a
pretty far away it’s going to take a
pretty far away it’s going to take a long time to get here the thought
long time to get here the thought
long time to get here the thought process here assumes that until we
process here assumes that until we
process here assumes that until we actually see it around us it’s actually
actually see it around us it’s actually
actually see it around us it’s actually not happening the second line of
not happening the second line of
not happening the second line of thinking which is more common is by
thinking which is more common is by
thinking which is more common is by experts people who’ve been in industry
experts people who’ve been in industry
experts people who’ve been in industry for a long time and they tell me that
for a long time and they tell me that
for a long time and they tell me that you know yeah I understand that a is
you know yeah I understand that a is
you know yeah I understand that a is coming but it’s not coming to my
coming but it’s not coming to my
coming but it’s not coming to my industry anytime soon the argument here
industry anytime soon the argument here
industry anytime soon the argument here is that in India labor competitiveness
is that in India labor competitiveness
is that in India labor competitiveness will stay for a long time and artificial
will stay for a long time and artificial
will stay for a long time and artificial intelligence is not likely to be
intelligence is not likely to be
intelligence is not likely to be competitive any time soon alternatively
competitive any time soon alternatively
competitive any time soon alternatively the quality that a I will offer will
the quality that a I will offer will
the quality that a I will offer will never even be close to what humans can
never even be close to what humans can
never even be close to what humans can do today this line of thinking is
do today this line of thinking is
do today this line of thinking is actually not new at all back in the
actually not new at all back in the
actually not new at all back in the early 1900s a very famous banker once
early 1900s a very famous banker once
early 1900s a very famous banker once believed that automobiles were just a
believed that automobiles were just a
believed that automobiles were just a fad and actually horse-drawn carriages
fad and actually horse-drawn carriages
fad and actually horse-drawn carriages would dominate the entire entire world
would dominate the entire entire world
would dominate the entire entire world for a really long time just a few years
for a really long time just a few years
for a really long time just a few years later the sale of cars had almost
later the sale of cars had almost
later the sale of cars had almost increased 20x Moore’s law which law
increased 20x Moore’s law which law
increased 20x Moore’s law which law you’ve probably heard about has made
you’ve probably heard about has made
you’ve probably heard about has made such predictions go in huge numbers for
such predictions go in huge numbers for
such predictions go in huge numbers for example in 1977 someone predicted that
example in 1977 someone predicted that
example in 1977 someone predicted that personal computers were never really
personal computers were never really
personal computers were never really going to become a thing at all just four
going to become a thing at all just four
going to become a thing at all just four years later IBM had already sold 100,000
years later IBM had already sold 100,000
years later IBM had already sold 100,000 personal computers and my favorite one
personal computers and my favorite one
personal computers and my favorite one is by Thomas Watson himself and this one
is by Thomas Watson himself and this one
is by Thomas Watson himself and this one needs no explanation at all the world
needs no explanation at all the world
needs no explanation at all the world market is much much larger as we all
market is much much larger as we all
market is much much larger as we all know than just five computers when we
know than just five computers when we
know than just five computers when we think about the impact that AI is had
think about the impact that AI is had
think about the impact that AI is had having in the world today this is not to
having in the world today this is not to
having in the world today this is not to suggest that these experts or these
suggest that these experts or these
suggest that these experts or these industry leaders were naive or ignorant
industry leaders were naive or ignorant
industry leaders were naive or ignorant it’s just that all of us myself included
it’s just that all of us myself included
it’s just that all of us myself included are really really bad understanding the
are really really bad understanding the
are really really bad understanding the effects of an exponential function until
effects of an exponential function until
effects of an exponential function until we really forced ourselves to do so the
we really forced ourselves to do so the
we really forced ourselves to do so the rate at which investments and artificial
rate at which investments and artificial
rate at which investments and artificial intelligence are growing are indeed
intelligence are growing are indeed
intelligence are growing are indeed exponential just like Moore’s law was if
exponential just like Moore’s law was if
exponential just like Moore’s law was if we in 1977 19 1997 couldn’t conceive of
we in 1977 19 1997 couldn’t conceive of
we in 1977 19 1997 couldn’t conceive of a world in which every Indian had a
a world in which every Indian had a
a world in which every Indian had a cellphone with internet one day we
cellphone with internet one day we
cellphone with internet one day we cannot even begin to understand what AI
cannot even begin to understand what AI
cannot even begin to understand what AI will make our world look like 20 years
will make our world look like 20 years
will make our world look like 20 years from now the world that AI is gold most
from now the world that AI is gold most
from now the world that AI is gold most growing effect in India is actually not
growing effect in India is actually not
growing effect in India is actually not represented in this room today India –
represented in this room today India –
represented in this room today India – or India 3 as this is sometimes known as
or India 3 as this is sometimes known as
or India 3 as this is sometimes known as our people who live in villages or have
our people who live in villages or have
our people who live in villages or have families that still live in villages
families that still live in villages
families that still live in villages these are people who’ve not had the same
these are people who’ve not had the same
these are people who’ve not had the same educational opportunities that a lot of
educational opportunities that a lot of
educational opportunities that a lot of us have had these are people who still
us have had these are people who still
us have had these are people who still work largely in the informal sector and
work largely in the informal sector and
work largely in the informal sector and are still comfortable in their local or
are still comfortable in their local or
are still comfortable in their local or regional languages I recently met a
regional languages I recently met a
regional languages I recently met a friend of mine who works with some of
friend of mine who works with some of
friend of mine who works with some of the largest tea gardens in India and I
the largest tea gardens in India and I
the largest tea gardens in India and I asked him is technology being used in
asked him is technology being used in
asked him is technology being used in any of your processes and he told me
any of your processes and he told me
any of your processes and he told me that arpan until very recently we
that arpan until very recently we
that arpan until very recently we struggled with the problem where our tea
struggled with the problem where our tea
struggled with the problem where our tea pickers would go and pick tea leaves and
pickers would go and pick tea leaves and
pickers would go and pick tea leaves and they would be mixed with really ripe
they would be mixed with really ripe
they would be mixed with really ripe leaves which would be yellow and less
leaves which would be yellow and less
leaves which would be yellow and less ripe leaves it should be green and this
ripe leaves it should be green and this
ripe leaves it should be green and this mixture actually reduced the price of
mixture actually reduced the price of
mixture actually reduced the price of the tea because the quality wasn’t as
the tea because the quality wasn’t as
the tea because the quality wasn’t as pure anymore
pure anymore
pure anymore and we had to hand separate this out he
and we had to hand separate this out he
and we had to hand separate this out he told me that they’d recently purchased a
told me that they’d recently purchased a
told me that they’d recently purchased a machine that used simple computer vision
machine that used simple computer vision
machine that used simple computer vision to actually separate out these leaves
to actually separate out these leaves
to actually separate out these leaves for them and these machines were doing
for them and these machines were doing
for them and these machines were doing it better and faster than any human had
it better and faster than any human had
it better and faster than any human had ever done this change isn’t just
ever done this change isn’t just
ever done this change isn’t just happening to tea in agriculture alone
happening to tea in agriculture alone
happening to tea in agriculture alone which employs almost 50 percent of the
which employs almost 50 percent of the
which employs almost 50 percent of the Indian population already you have
Indian population already you have
Indian population already you have autonomous tractors you have drones that
autonomous tractors you have drones that
autonomous tractors you have drones that can spread pesticides and you have crop
can spread pesticides and you have crop
can spread pesticides and you have crop harvesting autonomous robots that are
harvesting autonomous robots that are
harvesting autonomous robots that are already available in the markets today
already available in the markets today
already available in the markets today there’s not just limited to agriculture
there’s not just limited to agriculture
there’s not just limited to agriculture of course in manufacturing as we try to
of course in manufacturing as we try to
of course in manufacturing as we try to stay more competitive with our
stay more competitive with our
stay more competitive with our counterparts in China which are heavily
counterparts in China which are heavily
counterparts in China which are heavily investing in autonomous technologies and
investing in autonomous technologies and
investing in autonomous technologies and AI the forcing function forces
AI the forcing function forces
AI the forcing function forces manufacturers to adopt more and more
manufacturers to adopt more and more
manufacturers to adopt more and more automated processes in the service
automated processes in the service
automated processes in the service sector call centers which employ
sector call centers which employ
sector call centers which employ hundreds of thousands of Indians every
hundreds of thousands of Indians every
hundreds of thousands of Indians every single year are already seeing growth
single year are already seeing growth
single year are already seeing growth stagnate chatbots which you must have
stagnate chatbots which you must have
stagnate chatbots which you must have all heard about are no longer just
all heard about are no longer just
all heard about are no longer just mimicking the way we talk they’re doing
mimicking the way we talk they’re doing
mimicking the way we talk they’re doing it better than us the cart they can draw
it better than us the cart they can draw
it better than us the cart they can draw up on a much wider set of facts and are
up on a much wider set of facts and are
up on a much wider set of facts and are able to be a lot more persistent and
able to be a lot more persistent and
able to be a lot more persistent and patient with angry customers than we
patient with angry customers than we
patient with angry customers than we could ever be all of this becomes very
could ever be all of this becomes very
could ever be all of this becomes very very relevant when we think about the
very relevant when we think about the
very relevant when we think about the statistics of what the workforce of
statistics of what the workforce of
statistics of what the workforce of India looks like today and numbers are
India looks like today and numbers are
India looks like today and numbers are chilling almost 92 percent of India’s
chilling almost 92 percent of India’s
chilling almost 92 percent of India’s workforces in the informal sector with
workforces in the informal sector with
workforces in the informal sector with 30 percent of these people being daily
30 percent of these people being daily
30 percent of these people being daily wage laborers only 2 percent of India’s
wage laborers only 2 percent of India’s
wage laborers only 2 percent of India’s workforce is said to be skilled and only
workforce is said to be skilled and only
workforce is said to be skilled and only 30 percent of us are actually graduates
30 percent of us are actually graduates
30 percent of us are actually graduates if artificial intelligence completely
if artificial intelligence completely
if artificial intelligence completely destroyed some of the best minds that we
destroyed some of the best minds that we
destroyed some of the best minds that we have at purely intellectual tasks you
have at purely intellectual tasks you
have at purely intellectual tasks you can imagine what it’s going to do to
can imagine what it’s going to do to
can imagine what it’s going to do to entire industries that are largely
entire industries that are largely
entire industries that are largely manually focused now as you can imagine
manually focused now as you can imagine
manually focused now as you can imagine the challenges that we face with this
the challenges that we face with this
the challenges that we face with this upcoming AI wave are pretty serious and
upcoming AI wave are pretty serious and
upcoming AI wave are pretty serious and unfortunately India is not ready for the
unfortunately India is not ready for the
unfortunately India is not ready for the from a policy perspective we’re
from a policy perspective we’re
from a policy perspective we’re investing heavily into increasing our
investing heavily into increasing our
investing heavily into increasing our manufacturing with schemes like making
manufacturing with schemes like making
manufacturing with schemes like making India but what is absent from the debate
India but what is absent from the debate
India but what is absent from the debate completely is the role that autonomous
completely is the role that autonomous
completely is the role that autonomous vehicles may I or synthetic
vehicles may I or synthetic
vehicles may I or synthetic intelligences are likely to pay play the
intelligences are likely to pay play the
intelligences are likely to pay play the more we automate which is going to
more we automate which is going to
more we automate which is going to become the requirement to remain
become the requirement to remain
become the requirement to remain competitive in a global economy the
competitive in a global economy the
competitive in a global economy the lesser and lesser will require people to
lesser and lesser will require people to
lesser and lesser will require people to actually do these tasks while we will
actually do these tasks while we will
actually do these tasks while we will increase a lot of value and generate it
increase a lot of value and generate it
increase a lot of value and generate it it is unlikely that it will actually
it is unlikely that it will actually
it is unlikely that it will actually solve the employment problems that India
solve the employment problems that India
solve the employment problems that India is likely to see in the future usually
is likely to see in the future usually
is likely to see in the future usually in a lot of other economies the private
in a lot of other economies the private
in a lot of other economies the private sector steps in here and actually
sector steps in here and actually
sector steps in here and actually provides and may create their jobs and
provides and may create their jobs and
provides and may create their jobs and the roles that actually are created in
the roles that actually are created in
the roles that actually are created in the new economic structure that emerges
the new economic structure that emerges
the new economic structure that emerges in other countries like the US and China
in other countries like the US and China
in other countries like the US and China you have companies such as Google Amazon
you have companies such as Google Amazon
you have companies such as Google Amazon Netflix that are investing heavily into
Netflix that are investing heavily into
Netflix that are investing heavily into artificial intelligence they invest
artificial intelligence they invest
artificial intelligence they invest billions of dollars literally billions
billions of dollars literally billions
billions of dollars literally billions of dollars into the hardware human
of dollars into the hardware human
of dollars into the hardware human capital and software to enable such
capital and software to enable such
capital and software to enable such products and technologies to actually
products and technologies to actually
products and technologies to actually take place in India we are very very
take place in India we are very very
take place in India we are very very very far behind the biggest companies in
very far behind the biggest companies in
very far behind the biggest companies in India very often are not even looking at
India very often are not even looking at
India very often are not even looking at this sector and the startups are not
this sector and the startups are not
this sector and the startups are not globally competitive at all when we look
globally competitive at all when we look
globally competitive at all when we look at the funding that countries receive
at the funding that countries receive
at the funding that countries receive India is nowhere in the list
India is nowhere in the list
India is nowhere in the list similarly the patterns that are
similarly the patterns that are
similarly the patterns that are generated globally in the field of
generated globally in the field of
generated globally in the field of artificial intelligence again India is
artificial intelligence again India is
artificial intelligence again India is nowhere on this list at all just this
nowhere on this list at all just this
nowhere on this list at all just this year alone three billion dollars of
year alone three billion dollars of
year alone three billion dollars of money is going to be invested into just
money is going to be invested into just
money is going to be invested into just in the startups that are based on
in the startups that are based on
in the startups that are based on artificial intelligence almost zero of
artificial intelligence almost zero of
artificial intelligence almost zero of these dollars will actually reach India
these dollars will actually reach India
these dollars will actually reach India I want to focus a little bit more on the
I want to focus a little bit more on the
I want to focus a little bit more on the fact that a large percentage of what
fact that a large percentage of what
fact that a large percentage of what enables countries and enables economies
enables countries and enables economies
enables countries and enables economies to actually do a lot of AI work is the
to actually do a lot of AI work is the
to actually do a lot of AI work is the research facilities and even here our
research facilities and even here our
research facilities and even here our research institutes are largely falling
research institutes are largely falling
research institutes are largely falling behind their global competitors now I
behind their global competitors now I
behind their global competitors now I can see all the really sad faces in this
can see all the really sad faces in this
can see all the really sad faces in this room and I don’t want to depress you
room and I don’t want to depress you
room and I don’t want to depress you guys any further and I want to be very
guys any further and I want to be very
guys any further and I want to be very clear
clear
clear I’m actually very very optimistic for
I’m actually very very optimistic for
I’m actually very very optimistic for what AI will mean for India just like
what AI will mean for India just like
what AI will mean for India just like the previous wealth generating periods
the previous wealth generating periods
the previous wealth generating periods that have existed in mankind but there
that have existed in mankind but there
that have existed in mankind but there was the Industrial Revolution or the age
was the Industrial Revolution or the age
was the Industrial Revolution or the age of computers and the Internet
of computers and the Internet
of computers and the Internet even though India did not lead the
even though India did not lead the
even though India did not lead the development of these revolutions we
development of these revolutions we
development of these revolutions we benefited from them greatly and the same
benefited from them greatly and the same
benefited from them greatly and the same will be true of the artificial
will be true of the artificial
will be true of the artificial intelligence revolution a great example
intelligence revolution a great example
intelligence revolution a great example that I like to always talk about is how
that I like to always talk about is how
that I like to always talk about is how since the 1960’s farms in India have
since the 1960’s farms in India have
since the 1960’s farms in India have become increasingly mechanized use of
become increasingly mechanized use of
become increasingly mechanized use of tractors has drawn almost 60 fold and
tractors has drawn almost 60 fold and
tractors has drawn almost 60 fold and the labor participation has fallen
the labor participation has fallen
the labor participation has fallen drastically over the same period in the
drastically over the same period in the
drastically over the same period in the same time though Indians have actually
same time though Indians have actually
same time though Indians have actually increased their food output and we are
increased their food output and we are
increased their food output and we are better fed than we ever were before we
better fed than we ever were before we
better fed than we ever were before we must look at AI in the same way the
must look at AI in the same way the
must look at AI in the same way the debate is much more nuanced as Ola and
debate is much more nuanced as Ola and
debate is much more nuanced as Ola and uber continue to bring autonomous
uber continue to bring autonomous
uber continue to bring autonomous vehicles the costs of transportation
vehicles the costs of transportation
vehicles the costs of transportation will fall drastically as Foxconn
will fall drastically as Foxconn
will fall drastically as Foxconn replaces their workers with robots our
replaces their workers with robots our
replaces their workers with robots our smartphones will become cheaper and
smartphones will become cheaper and
smartphones will become cheaper and cheaper
cheaper
cheaper today’s Indians can afford more things
today’s Indians can afford more things
today’s Indians can afford more things than Indians ever did in history and a
than Indians ever did in history and a
than Indians ever did in history and a large part of this is because of the
large part of this is because of the
large part of this is because of the automate autonomous processes that has
automate autonomous processes that has
automate autonomous processes that has driven costs down exponentially this
driven costs down exponentially this
driven costs down exponentially this benefit will extend over time in the
benefit will extend over time in the
benefit will extend over time in the future as well the other thing I want to
future as well the other thing I want to
future as well the other thing I want to focus on is the fact that in terms of
focus on is the fact that in terms of
focus on is the fact that in terms of where we are we’re in the equivalent of
where we are we’re in the equivalent of
where we are we’re in the equivalent of the 1950’s of the computer revolution
the 1950’s of the computer revolution
the 1950’s of the computer revolution most companies do not dominate the
most companies do not dominate the
most companies do not dominate the entire space of artificial intelligence
entire space of artificial intelligence
entire space of artificial intelligence they do what we call a narrow AI or weak
they do what we call a narrow AI or weak
they do what we call a narrow AI or weak AI which is very specialized and focused
AI which is very specialized and focused
AI which is very specialized and focused artificial intelligence developments and
artificial intelligence developments and
artificial intelligence developments and very sport forecast fields Google is
very sport forecast fields Google is
very sport forecast fields Google is great at presenting you ads and it’s
great at presenting you ads and it’s
great at presenting you ads and it’s great at autonomous vehicles Amazon is
great at autonomous vehicles Amazon is
great at autonomous vehicles Amazon is great at giving recommendations they
great at giving recommendations they
great at giving recommendations they don’t do everything really well
don’t do everything really well
don’t do everything really well this leaves tremendous room for
this leaves tremendous room for
this leaves tremendous room for companies to come in and add a lot of
companies to come in and add a lot of
companies to come in and add a lot of value in a very short amount of time my
value in a very short amount of time my
value in a very short amount of time my favourite example here is Baidu the
favourite example here is Baidu the
favourite example here is Baidu the chinese search giant until 5 years ago
chinese search giant until 5 years ago
chinese search giant until 5 years ago was not known at all for their work in
was not known at all for their work in
was not known at all for their work in artificial intelligence at that point in
artificial intelligence at that point in
artificial intelligence at that point in time they created by do research and
time they created by do research and
time they created by do research and hired one of the top minds in artificial
hired one of the top minds in artificial
hired one of the top minds in artificial intelligence in the entire
intelligence in the entire
intelligence in the entire just in the last five years alone they
just in the last five years alone they
just in the last five years alone they have broken numerous world records in
have broken numerous world records in
have broken numerous world records in machine translation and speech-to-text
machine translation and speech-to-text
machine translation and speech-to-text technologies today they have their own
technologies today they have their own
technologies today they have their own self-driving car project as well
self-driving car project as well
self-driving car project as well all of this was achieved in just five
all of this was achieved in just five
all of this was achieved in just five years that’s how quickly this field is
years that’s how quickly this field is
years that’s how quickly this field is moving that’s how much scope there is
moving that’s how much scope there is
moving that’s how much scope there is today finally I think we’re really
today finally I think we’re really
today finally I think we’re really fortunate to be in India amongst a group
fortunate to be in India amongst a group
fortunate to be in India amongst a group of people who are really really
of people who are really really
of people who are really really forward-looking optimistic and our
forward-looking optimistic and our
forward-looking optimistic and our students are really really vibrant and
students are really really vibrant and
students are really really vibrant and thinking about machine learning very
thinking about machine learning very
thinking about machine learning very actively the interest that Indian
actively the interest that Indian
actively the interest that Indian students have deeply displayed is almost
students have deeply displayed is almost
students have deeply displayed is almost one of the largest in the entire world
one of the largest in the entire world
one of the largest in the entire world if you look if you look at the courses
if you look if you look at the courses
if you look if you look at the courses that are taken on global platforms in
that are taken on global platforms in
that are taken on global platforms in this in this extremely flat economy that
this in this extremely flat economy that
this in this extremely flat economy that we have today
we have today
we have today Indians are one of the largest consumers
Indians are one of the largest consumers
Indians are one of the largest consumers of courses on Coursera and machine
of courses on Coursera and machine
of courses on Coursera and machine learning is one of the topmost courses
learning is one of the topmost courses
learning is one of the topmost courses they’re increasingly doing machine
they’re increasingly doing machine
they’re increasingly doing machine machine learning research with
machine learning research with
machine learning research with technologies that have released such as
technologies that have released such as
technologies that have released such as tensorflow and using the Amazon Cloud
tensorflow and using the Amazon Cloud
tensorflow and using the Amazon Cloud services or other cloud services enables
services or other cloud services enables
services or other cloud services enables almost any one of us should start
almost any one of us should start
almost any one of us should start contributing to this field and this
contributing to this field and this
contributing to this field and this brings me to why I’m most excited to be
brings me to why I’m most excited to be
brings me to why I’m most excited to be speaking with you today artificial
speaking with you today artificial
speaking with you today artificial intelligence is not just about the
intelligence is not just about the
intelligence is not just about the technology and the algorithms it’s just
technology and the algorithms it’s just
technology and the algorithms it’s just as much about the data Peter Norvig who
as much about the data Peter Norvig who
as much about the data Peter Norvig who was head of Google research once Emily’s
was head of Google research once Emily’s
was head of Google research once Emily’s famously said we don’t have better
famously said we don’t have better
famously said we don’t have better algorithms we just have much more data
algorithms we just have much more data
algorithms we just have much more data when we look at India – and India 3 no
when we look at India – and India 3 no
when we look at India – and India 3 no one has this data today the products
one has this data today the products
one has this data today the products that were designed by people thousands
that were designed by people thousands
that were designed by people thousands of miles away for Indians were designed
of miles away for Indians were designed
of miles away for Indians were designed for people like us in this room today
for people like us in this room today
for people like us in this room today they do not have to think about how we
they do not have to think about how we
they do not have to think about how we use the products because we were just
use the products because we were just
use the products because we were just like them when it comes to the next 700
like them when it comes to the next 700
like them when it comes to the next 700 million Indians who are going to come
million Indians who are going to come
million Indians who are going to come online things are going to be very
online things are going to be very
online things are going to be very different the products are going to be
different the products are going to be
different the products are going to be very different and the use cases are
very different and the use cases are
very different and the use cases are going to be very very different this is
going to be very very different this is
going to be very very different this is a remarkable opportunity for Indian
a remarkable opportunity for Indian
a remarkable opportunity for Indian companies people like you and I to step
companies people like you and I to step
companies people like you and I to step in understand what would provide value
in understand what would provide value
in understand what would provide value and generate a new wave of development
and generate a new wave of development
and generate a new wave of development in this economy
in this economy
in this economy just over the next three four to four
just over the next three four to four
just over the next three four to four years until 2020 AI is expected to add
years until 2020 AI is expected to add
years until 2020 AI is expected to add 1.2 trillion dollars in global GDP some
1.2 trillion dollars in global GDP some
1.2 trillion dollars in global GDP some companies fortunately in India are
companies fortunately in India are
companies fortunately in India are already realizing this Reliance Geo is a
already realizing this Reliance Geo is a
already realizing this Reliance Geo is a fantastic example of a long-term data
fantastic example of a long-term data
fantastic example of a long-term data play by creating a subscriber base of
play by creating a subscriber base of
play by creating a subscriber base of 100 million users in very quick time it
100 million users in very quick time it
100 million users in very quick time it doesn’t just control the Gateway to the
doesn’t just control the Gateway to the
doesn’t just control the Gateway to the internet for these people it has a
internet for these people it has a
internet for these people it has a front-row seat onto which apps these
front-row seat onto which apps these
front-row seat onto which apps these people are using and how they’re using
people are using and how they’re using
people are using and how they’re using their data India missed out on the boat
their data India missed out on the boat
their data India missed out on the boat and did not get a chance to lead the
and did not get a chance to lead the
and did not get a chance to lead the Industrial Revolution and it did not get
Industrial Revolution and it did not get
Industrial Revolution and it did not get the chance to lead the internet
the chance to lead the internet
the chance to lead the internet revolution we must not miss the chance
revolution we must not miss the chance
revolution we must not miss the chance to lead the artificial intelligence
to lead the artificial intelligence
to lead the artificial intelligence revolution thank you
”
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