okay I’ll just kind of give you a
glimpse of the future so what do we
expect now you know ask the world is
going become more and more digital and
if you see all the big click companies
we’re going to become a world where Adi
is first so what does that mean a lot of
companies are gonna start using AI to
conquer lis gain competitive advantage
you know it’s what I call weapon of mass
disruption you know it’s one of those
game changer if you will in fact it can
also be used as a weapon of mass
accelerate why is that because the
company can use this AI to be able to
catapult yourself in front and ahead
over your competitors so how do we get
here so what we did is we created this
machine right and then what we did is we
give it a brain you know we put in a
processing chip what I call up chip and
nowadays we have a specialty chip that’s
that’s gonna be far faster that can
handle a lot of artificial computation
then what we did is that we trained this
machine so we give it data we algorithm
and then we thought yeah you know let’s
just put in some senses throw in a
biosensors now what we got so we got
this machine now it’s recognized speech
it understands languages and it can even
translate from one word to different
kind of forms okay and for the business
world well it can boost performance and
it does a great job doing that it
improves productivity and quality and it
drop costs substantially so now it does
these things all these things this these
outcomes
achieve these outcomes and it does it
beyond human capabilities I mean we’re
the advances in machine learning
artificial intelligence deep learning
has gone
not only it matches but it outperforms
humans so that’s good and great and
that’s where the problem is the problem
is machines AI machines are coming to
this world and there will be replacing
human workers why well simple because
they’re going to do the job and they’re
doing the job better faster and cheaper
look at this look at customer service
that’s an example real these are the
actual case it takes some AI machine
four and a half minutes to handle a
customer complaint well as humans it
takes 18 minutes that’s four times
longer and then on top of that it picks
up a call picks up a call in two seconds
it takes those few months 55 seconds to
pick up a call and it can do all this at
a substantially lower price to handle
one customer it can cost about eight
cents us what’s what four pesos
it cost us humans $2.50 that’s 125 pesos
I mean so if you really think about it
that’s something that it’s just too
compelling for any businesses so what do
you expect well as expected job losses
okay what this is going to be a global
crisis yes there’s actually a lot of
research done all around the world today
where because close to half 50% of every
workers in the world is going to lose
their job to AI automation okay that and
the way they did it they have a very
methodical way as they look at every 800
occupations and they break it down to
activities a vast majority of the
activities they can be done today by AI
machines we’re not talking about hey you
know the technology that’s going to be
created in the future now it’s today the
technology Ori have today that that can
perform what we’re going to do what we
are doing today so what does that mean
well it’s going to be 1.1 billion people
in this world for the next 10 20 years
whose job is going to be automated I
know let’s look at an example of
developed countries o United States look
at us well us they’re saying that close
to about 51 percent 51 it’s a developed
country how can that be you know they’re
skilled and well 51 percent of the jobs
have the potential to be automated and
you know that accounts for two point
seven trillion dollars in wages every
single year well how about a developing
country let’s look at the Philippines
over here and the Philippines well 47
percent we looked at contact center BPO
in the Philippines that’s the driver of
the growth of the Philippines for the
last 17 years well 17 47 percent of the
1.2 million Filipinos in that sector
also have the potential to be automated
now if you look at that sector it has
1.2 million direct employment 3.2
million indirect employment combined you
got 4.4 million Filipinos in that one
industry given a 5v5 to one dependency
ratio close to 20 million Filipinos 20
percent of the entire countries is
dependent on that one industry so well
look at this machine this thing that we
created you know well they they colonel
they work 24 hours a day seven days a
week they don’t take
breaks your antique nap and siesta they
don’t even take a vacation okay with
these things if they want to expand the
brain capacity memory they can depend
and anywhere I mean these kind of
cognitive robots now they have fine
motor skills that can actually do
surgery for us even how delicate that is
surgery and then on the other hand you
can go they can move crates inventories
and move them around warehouses without
human supervision you could look at the
cargo bay the shipping docks they can
move containers without any supervision
today and one day a couple years from
now well not a couple years but they
claim 2020 or something like that they
can operate on motor vehicles for us so
hey they can take us anywhere any place
mental capacities well they’re great in
recognizing patterns they can retrieve
information on the fly and they can
optimize continuously what does that
mean these machines are learning they
are learning in fact these machines they
can do a vast amount of intense
computation it can even teach itself it
can self-taught it can create its own
simulation to teach itself to improve
and then on top of that yes I mean
besides that it can optimize and to make
sure that it can predict see what’s this
is a part with us humans in animals
let’s not compare against that but
because we can plan we can set goals we
have the ability to predict well we
create for the first time in the history
of mankind we create this machine that
does a better job in prediction that can
actually predict in a fairly accurate
manner so what is this machine
were humans well the advances machine
learning the advances deep learning
artificial intelligence well not only
have this so-called things that we
created has matched but it can even
outperform what we can do this is
something that is Corvair be of great
concern and yet at the same time it’s
something that okay now how do we solve
this problem on the things that we
created well the good news and what the
good news is well they have a weak spot
they also they’re vulnerable okay now
these machines
well they lack creativity they lack
empathy and morality I mean they can’t
imagine things they can’t feel anything
right and they can’t make any judgment
okay whereas hey as humans well we can
build something from scratch out of
nothing we can conceive ideas creativity
we can connect and relate with other
humans okay and then we can make sound
judgment based on morality and humanity
so well so what we did what we did is
that we we got the strength of these the
power of this machine and then we get
the strength of humans and we combine
them we merge them we fuse them and what
do we got
augmented intelligence I mean if you
think about it these machines are just
raw computing power ok well that’s like
the left side of our brain we can just
get the machine to do that we can take
care of their right side of their brain
we can create
we have emotions they don’t so what
we’re going to do is we combine these
things in order to come up with
augmented intelligence so that’s why we
culturally call it AI ^ – you know as
they say it – brains is better than one
so what have we done in the past well we
spent eight years of research and
development we’ve gone through about 87
trials and we tested among 26 different
vertical industries and this is one of
the trial we did so what we did is that
we have a group of people and we got the
top 20% doing its own thing
fantastic performance great results and
then we got the bottom 20% now the
bottom 20% are the poor performers in
fact they’re in the rehired list you
know what that means they’re about to
get fired and so what we did is that we
get these out the ones who’s about to
get fired and we gave them an Augmented
intelligence system and what happened as
you can see the results they can
outperform even the top 20% okay and if
you look at another this is trial number
83 and what happened here is that we got
a fantastic US agents they got 20 years
of experience so they’ve been running
all these programs in campaign and then
we try to get in the Philippines in the
provincial not even Metro Manila these
are the kolduny or higher you know what
they knew your heart meant they’ve tried
applying in five six and seven call
centers nobody wants them there in the
near higher because they’re not
qualified so we got these people and we
put them in the Augmented intelligence
system and if you can see what happened
is that they beat and outperform the
agents who’s done this for 20 years
versus the new hire who
unemployable with zero experience and
they actually outperformed those guys
and on top of that what was very
impressive was the customer that they
acquired well they stayed a lot longer
so instead of lasting comparing against
the agents we’ve been doing it for 20
years these customers stayed with the
company a lot longer by 24% in the
business term that’s fantastic so where
do we go from here well us business if
our step is first three steps simple but
difficult to do first of course is you
dare to discover I know it takes risk I
know people don’t like risk because of
the fear of the unknown but you have to
dare to discover you got to go out there
and try it
okay only do you explore can you
eventually exploit afterwards the second
step my mentor is Dada Benito and he
basically said you got a dig deep why do
I have to dig deep it’s because you want
to make sure you can innovate a product
that you’re the only one who can do this
it’s very competitive differentiable
it’s a product that’s for the global
market so that’s basically what you do
and when you dig deep you will only be
the one to have the insight a special
insight that Intel that nobody else has
and the third step is well you gonna
have to be able to iterate and
continually iterate improvement
improving on people you have a good
product market fit that means to say you
have to then get the innovative product
you did and then you have to monetize it
and so you can actually feed the whole
cycle and continue R&D bigger dig deeper
together to gather Intel insight and
then to be able to monetize it and the
company grows that way well
options well you asked there’s three
ways of using augmented intelligence
well one is that you can use it to
reassign your workers so to the higher
value tasks or you can actually
compliment your workers to do the harder
to do work now if you decide to go to
take the first option reassign well on
the simple first year the simpler ones
the repetitive ones you automate that
that way you free up those workers to
focus on the higher value tasks now if
you want to complement then you have to
empower these lower skilled workers so
they can do the higher skilled work so
you need to ask are you here to disrupt
and when you disrupt the market to be
winners or are you here to be disrupted
and then if doing so you become I mean
those are the things that you have to
ask yourself and nowadays you can use AI
to basically unlock the benefits wherein
these benefits can be used as an
competitive advantage to be able to
drive your company your competitors out
of business skills required a lot of
people will you ask how what do we do
where do we go from here well very
simple you have to develop the skills
where you know the activities are go out
to get automated just like psychology
sociology even sales because that’s
gonna be freemium and on the other hand
the higher skilled work that requires
designing developing deploying these AI
technology you will be in great demand
as for the educational system well as
the workforce evolve they have to
emphasize and focus on creativity you
have to emphasize on emotional
intelligence as well as leadership in
coaching others so anyways are you here
racing with or
against machine well you can you can
race against them good luck because we
haven’t seen a lot of people who can do
that very good on the other hand you can
beat them you can fight them or as they
say if you can’t beat them join them
thank you
[Applause]
glimpse of the future so what do we
expect now you know ask the world is
going become more and more digital and
if you see all the big click companies
we’re going to become a world where Adi
is first so what does that mean a lot of
companies are gonna start using AI to
conquer lis gain competitive advantage
you know it’s what I call weapon of mass
disruption you know it’s one of those
game changer if you will in fact it can
also be used as a weapon of mass
accelerate why is that because the
company can use this AI to be able to
catapult yourself in front and ahead
over your competitors so how do we get
here so what we did is we created this
machine right and then what we did is we
give it a brain you know we put in a
processing chip what I call up chip and
nowadays we have a specialty chip that’s
that’s gonna be far faster that can
handle a lot of artificial computation
then what we did is that we trained this
machine so we give it data we algorithm
and then we thought yeah you know let’s
just put in some senses throw in a
biosensors now what we got so we got
this machine now it’s recognized speech
it understands languages and it can even
translate from one word to different
kind of forms okay and for the business
world well it can boost performance and
it does a great job doing that it
improves productivity and quality and it
drop costs substantially so now it does
these things all these things this these
outcomes
achieve these outcomes and it does it
beyond human capabilities I mean we’re
the advances in machine learning
artificial intelligence deep learning
has gone
not only it matches but it outperforms
humans so that’s good and great and
that’s where the problem is the problem
is machines AI machines are coming to
this world and there will be replacing
human workers why well simple because
they’re going to do the job and they’re
doing the job better faster and cheaper
look at this look at customer service
that’s an example real these are the
actual case it takes some AI machine
four and a half minutes to handle a
customer complaint well as humans it
takes 18 minutes that’s four times
longer and then on top of that it picks
up a call picks up a call in two seconds
it takes those few months 55 seconds to
pick up a call and it can do all this at
a substantially lower price to handle
one customer it can cost about eight
cents us what’s what four pesos
it cost us humans $2.50 that’s 125 pesos
I mean so if you really think about it
that’s something that it’s just too
compelling for any businesses so what do
you expect well as expected job losses
okay what this is going to be a global
crisis yes there’s actually a lot of
research done all around the world today
where because close to half 50% of every
workers in the world is going to lose
their job to AI automation okay that and
the way they did it they have a very
methodical way as they look at every 800
occupations and they break it down to
activities a vast majority of the
activities they can be done today by AI
machines we’re not talking about hey you
know the technology that’s going to be
created in the future now it’s today the
technology Ori have today that that can
perform what we’re going to do what we
are doing today so what does that mean
well it’s going to be 1.1 billion people
in this world for the next 10 20 years
whose job is going to be automated I
know let’s look at an example of
developed countries o United States look
at us well us they’re saying that close
to about 51 percent 51 it’s a developed
country how can that be you know they’re
skilled and well 51 percent of the jobs
have the potential to be automated and
you know that accounts for two point
seven trillion dollars in wages every
single year well how about a developing
country let’s look at the Philippines
over here and the Philippines well 47
percent we looked at contact center BPO
in the Philippines that’s the driver of
the growth of the Philippines for the
last 17 years well 17 47 percent of the
1.2 million Filipinos in that sector
also have the potential to be automated
now if you look at that sector it has
1.2 million direct employment 3.2
million indirect employment combined you
got 4.4 million Filipinos in that one
industry given a 5v5 to one dependency
ratio close to 20 million Filipinos 20
percent of the entire countries is
dependent on that one industry so well
look at this machine this thing that we
created you know well they they colonel
they work 24 hours a day seven days a
week they don’t take
breaks your antique nap and siesta they
don’t even take a vacation okay with
these things if they want to expand the
brain capacity memory they can depend
and anywhere I mean these kind of
cognitive robots now they have fine
motor skills that can actually do
surgery for us even how delicate that is
surgery and then on the other hand you
can go they can move crates inventories
and move them around warehouses without
human supervision you could look at the
cargo bay the shipping docks they can
move containers without any supervision
today and one day a couple years from
now well not a couple years but they
claim 2020 or something like that they
can operate on motor vehicles for us so
hey they can take us anywhere any place
mental capacities well they’re great in
recognizing patterns they can retrieve
information on the fly and they can
optimize continuously what does that
mean these machines are learning they
are learning in fact these machines they
can do a vast amount of intense
computation it can even teach itself it
can self-taught it can create its own
simulation to teach itself to improve
and then on top of that yes I mean
besides that it can optimize and to make
sure that it can predict see what’s this
is a part with us humans in animals
let’s not compare against that but
because we can plan we can set goals we
have the ability to predict well we
create for the first time in the history
of mankind we create this machine that
does a better job in prediction that can
actually predict in a fairly accurate
manner so what is this machine
were humans well the advances machine
learning the advances deep learning
artificial intelligence well not only
have this so-called things that we
created has matched but it can even
outperform what we can do this is
something that is Corvair be of great
concern and yet at the same time it’s
something that okay now how do we solve
this problem on the things that we
created well the good news and what the
good news is well they have a weak spot
they also they’re vulnerable okay now
these machines
well they lack creativity they lack
empathy and morality I mean they can’t
imagine things they can’t feel anything
right and they can’t make any judgment
okay whereas hey as humans well we can
build something from scratch out of
nothing we can conceive ideas creativity
we can connect and relate with other
humans okay and then we can make sound
judgment based on morality and humanity
so well so what we did what we did is
that we we got the strength of these the
power of this machine and then we get
the strength of humans and we combine
them we merge them we fuse them and what
do we got
augmented intelligence I mean if you
think about it these machines are just
raw computing power ok well that’s like
the left side of our brain we can just
get the machine to do that we can take
care of their right side of their brain
we can create
we have emotions they don’t so what
we’re going to do is we combine these
things in order to come up with
augmented intelligence so that’s why we
culturally call it AI ^ – you know as
they say it – brains is better than one
so what have we done in the past well we
spent eight years of research and
development we’ve gone through about 87
trials and we tested among 26 different
vertical industries and this is one of
the trial we did so what we did is that
we have a group of people and we got the
top 20% doing its own thing
fantastic performance great results and
then we got the bottom 20% now the
bottom 20% are the poor performers in
fact they’re in the rehired list you
know what that means they’re about to
get fired and so what we did is that we
get these out the ones who’s about to
get fired and we gave them an Augmented
intelligence system and what happened as
you can see the results they can
outperform even the top 20% okay and if
you look at another this is trial number
83 and what happened here is that we got
a fantastic US agents they got 20 years
of experience so they’ve been running
all these programs in campaign and then
we try to get in the Philippines in the
provincial not even Metro Manila these
are the kolduny or higher you know what
they knew your heart meant they’ve tried
applying in five six and seven call
centers nobody wants them there in the
near higher because they’re not
qualified so we got these people and we
put them in the Augmented intelligence
system and if you can see what happened
is that they beat and outperform the
agents who’s done this for 20 years
versus the new hire who
unemployable with zero experience and
they actually outperformed those guys
and on top of that what was very
impressive was the customer that they
acquired well they stayed a lot longer
so instead of lasting comparing against
the agents we’ve been doing it for 20
years these customers stayed with the
company a lot longer by 24% in the
business term that’s fantastic so where
do we go from here well us business if
our step is first three steps simple but
difficult to do first of course is you
dare to discover I know it takes risk I
know people don’t like risk because of
the fear of the unknown but you have to
dare to discover you got to go out there
and try it
okay only do you explore can you
eventually exploit afterwards the second
step my mentor is Dada Benito and he
basically said you got a dig deep why do
I have to dig deep it’s because you want
to make sure you can innovate a product
that you’re the only one who can do this
it’s very competitive differentiable
it’s a product that’s for the global
market so that’s basically what you do
and when you dig deep you will only be
the one to have the insight a special
insight that Intel that nobody else has
and the third step is well you gonna
have to be able to iterate and
continually iterate improvement
improving on people you have a good
product market fit that means to say you
have to then get the innovative product
you did and then you have to monetize it
and so you can actually feed the whole
cycle and continue R&D bigger dig deeper
together to gather Intel insight and
then to be able to monetize it and the
company grows that way well
options well you asked there’s three
ways of using augmented intelligence
well one is that you can use it to
reassign your workers so to the higher
value tasks or you can actually
compliment your workers to do the harder
to do work now if you decide to go to
take the first option reassign well on
the simple first year the simpler ones
the repetitive ones you automate that
that way you free up those workers to
focus on the higher value tasks now if
you want to complement then you have to
empower these lower skilled workers so
they can do the higher skilled work so
you need to ask are you here to disrupt
and when you disrupt the market to be
winners or are you here to be disrupted
and then if doing so you become I mean
those are the things that you have to
ask yourself and nowadays you can use AI
to basically unlock the benefits wherein
these benefits can be used as an
competitive advantage to be able to
drive your company your competitors out
of business skills required a lot of
people will you ask how what do we do
where do we go from here well very
simple you have to develop the skills
where you know the activities are go out
to get automated just like psychology
sociology even sales because that’s
gonna be freemium and on the other hand
the higher skilled work that requires
designing developing deploying these AI
technology you will be in great demand
as for the educational system well as
the workforce evolve they have to
emphasize and focus on creativity you
have to emphasize on emotional
intelligence as well as leadership in
coaching others so anyways are you here
racing with or
against machine well you can you can
race against them good luck because we
haven’t seen a lot of people who can do
that very good on the other hand you can
beat them you can fight them or as they
say if you can’t beat them join them
thank you
[Applause]
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