[Music] when was the last time you needed to go
when was the last time you needed to go
when was the last time you needed to go to a bank walk to a bank to check your
to a bank walk to a bank to check your
to a bank walk to a bank to check your check your bank statement when was the
check your bank statement when was the
check your bank statement when was the last time that you entered your car and
last time that you entered your car and
last time that you entered your car and you used a paper map for navigation when
you used a paper map for navigation when
you used a paper map for navigation when was the last time you had a question you
was the last time you had a question you
was the last time you had a question you needed to walk to a library open an
needed to walk to a library open an
needed to walk to a library open an encyclopedia to find the answer if you
encyclopedia to find the answer if you
encyclopedia to find the answer if you don’t remember this the answer to these
don’t remember this the answer to these
don’t remember this the answer to these questions this is because you are using
questions this is because you are using
questions this is because you are using technology we are all using technology
technology we are all using technology
technology we are all using technology to save time to do things easier
to save time to do things easier
to save time to do things easier technology is changing our lives there
technology is changing our lives there
technology is changing our lives there has been lots of technological
has been lots of technological
has been lots of technological revolutions which have changed lives of
revolutions which have changed lives of
revolutions which have changed lives of many many people billions of people and
many many people billions of people and
many many people billions of people and the most recent one is the AI revolution
the most recent one is the AI revolution
the most recent one is the AI revolution and I’m going to talk today about the AI
and I’m going to talk today about the AI
and I’m going to talk today about the AI revolution and the Google assistant the
revolution and the Google assistant the
revolution and the Google assistant the project I am working on so Google
project I am working on so Google
project I am working on so Google assistant is amber excited about AI
assistant is amber excited about AI
assistant is amber excited about AI revolution because assistant is one of
revolution because assistant is one of
revolution because assistant is one of the cutting-edge implementations of what
the cutting-edge implementations of what
the cutting-edge implementations of what we will see in this AI revolution so the
we will see in this AI revolution so the
we will see in this AI revolution so the next 10 years is going to be will be
next 10 years is going to be will be
next 10 years is going to be will be going to be living in a world which is
going to be living in a world which is
going to be living in a world which is AI first this is the AI revolution we’re
AI first this is the AI revolution we’re
AI first this is the AI revolution we’re talking about but before going into that
talking about but before going into that
talking about but before going into that this revolution is very similar in
this revolution is very similar in
this revolution is very similar in nature to many other revolutions which
nature to many other revolutions which
nature to many other revolutions which happened in the past 100 years these are
happened in the past 100 years these are
happened in the past 100 years these are all big technological revolutions which
all big technological revolutions which
all big technological revolutions which changed lives of billions and billions
changed lives of billions and billions
changed lives of billions and billions of people it made lots of companies to
of people it made lots of companies to
of people it made lots of companies to disappear it made some new companies to
disappear it made some new companies to
disappear it made some new companies to appear and if you think it’s saved lots
appear and if you think it’s saved lots
appear and if you think it’s saved lots of time for it all of these save lots of
of time for it all of these save lots of
of time for it all of these save lots of times for us
times for us
times for us for example plane before before plane
for example plane before before plane
for example plane before before plane people needed to spend six weeks to go
people needed to spend six weeks to go
people needed to spend six weeks to go from Europe to us on ship if you have
from Europe to us on ship if you have
from Europe to us on ship if you have money to do that so you’re basically
money to do that so you’re basically
money to do that so you’re basically wasting six weeks instead of ten hours
wasting six weeks instead of ten hours
wasting six weeks instead of ten hours just on the ship to go to go from this
just on the ship to go to go from this
just on the ship to go to go from this point to the other point and so on
point to the other point and so on
point to the other point and so on there’s so many of such such time-saving
there’s so many of such such time-saving
there’s so many of such such time-saving scenarios happening with these
scenarios happening with these
scenarios happening with these revolutions
revolutions
revolutions if you move fast forward 20 years ago
if you move fast forward 20 years ago
if you move fast forward 20 years ago web and PC came this is from what moment
web and PC came this is from what moment
web and PC came this is from what moment we actually can sit at home and answer
we actually can sit at home and answer
we actually can sit at home and answer find the answer to questions we can see
find the answer to questions we can see
find the answer to questions we can see our bank account at home we can check
our bank account at home we can check
our bank account at home we can check the weather we don’t need to wait for
the weather we don’t need to wait for
the weather we don’t need to wait for the next news to hear the weather and we
the next news to hear the weather and we
the next news to hear the weather and we can buy things so this revolution
can buy things so this revolution
can buy things so this revolution changed our life really really in a big
changed our life really really in a big
changed our life really really in a big way just think about the moment which
way just think about the moment which
way just think about the moment which web and internet was not there it’s only
web and internet was not there it’s only
web and internet was not there it’s only 20 years ago now there was another
20 years ago now there was another
20 years ago now there was another revolution which happened 10 years after
revolution which happened 10 years after
revolution which happened 10 years after and that’s the mobile revolution that’s
and that’s the mobile revolution that’s
and that’s the mobile revolution that’s when everything that’s a big huge clunky
when everything that’s a big huge clunky
when everything that’s a big huge clunky PC could do and more you can do it with
PC could do and more you can do it with
PC could do and more you can do it with these Mobile’s which is in our pocket
these Mobile’s which is in our pocket
these Mobile’s which is in our pocket and it’s with us everywhere it’s moving
and it’s with us everywhere it’s moving
and it’s with us everywhere it’s moving it has it’s even more powerful because
it has it’s even more powerful because
it has it’s even more powerful because it has a microphone it has a camera and
it has a microphone it has a camera and
it has a microphone it has a camera and it’s more personal you can take pictures
it’s more personal you can take pictures
it’s more personal you can take pictures you can share photos and you can call
you can share photos and you can call
you can share photos and you can call and everything else so it’s really
and everything else so it’s really
and everything else so it’s really becoming in a more powerful version of
becoming in a more powerful version of
becoming in a more powerful version of the previous revolution and now if you
the previous revolution and now if you
the previous revolution and now if you think the mobile revolution is in that
think the mobile revolution is in that
think the mobile revolution is in that scale bigger than the previous
scale bigger than the previous
scale bigger than the previous revolution of the web and the reason is
revolution of the web and the reason is
revolution of the web and the reason is that because the numbers are everything
that because the numbers are everything
that because the numbers are everything is really one order of magnitude bigger
is really one order of magnitude bigger
is really one order of magnitude bigger five billion people will have phones
five billion people will have phones
five billion people will have phones connected by 2020 this includes lots of
connected by 2020 this includes lots of
connected by 2020 this includes lots of countries in Africa also India and every
countries in Africa also India and every
countries in Africa also India and every everywhere else this is really much
everywhere else this is really much
everywhere else this is really much bigger than the scale of the previous
bigger than the scale of the previous
bigger than the scale of the previous revolutions while this revolution is
revolutions while this revolution is
revolutions while this revolution is still happening the next revolution is
still happening the next revolution is
still happening the next revolution is going to make mobile revolution even
going to make mobile revolution even
going to make mobile revolution even bigger and that’s the eye first
bigger and that’s the eye first
bigger and that’s the eye first revolution I was talking about this is
revolution I was talking about this is
revolution I was talking about this is from this is the moment where the phones
from this is the moment where the phones
from this is the moment where the phones are becoming smarter smartphones now
are becoming smarter smartphones now
are becoming smarter smartphones now finally become smart they start to
finally become smart they start to
finally become smart they start to understand they start to understand
understand they start to understand
understand they start to understand language they can see things understand
language they can see things understand
language they can see things understand what we are seeing you can they can
what we are seeing you can they can
what we are seeing you can they can understand the context of what I’m
understand the context of what I’m
understand the context of what I’m talking to them about and they can
talking to them about and they can
talking to them about and they can understand at what moment it should help
understand at what moment it should help
understand at what moment it should help me and how so this is going to be very
me and how so this is going to be very
me and how so this is going to be very interesting era where you can talk to
interesting era where you can talk to
interesting era where you can talk to phones but not also to phones to all
phones but not also to phones to all
phones but not also to phones to all different types of devices Google if you
different types of devices Google if you
different types of devices Google if you have like TV car or watch and many many
have like TV car or watch and many many
have like TV car or watch and many many more with the types of devices will be
more with the types of devices will be
more with the types of devices will be devices that you can talk to them in a
devices that you can talk to them in a
devices that you can talk to them in a consistent way and get help and
consistent way and get help and
consistent way and get help and assistance from them so assistant is a
assistance from them so assistant is a
assistance from them so assistant is a conversation between you and your Google
conversation between you and your Google
conversation between you and your Google or between you and your assistant which
or between you and your assistant which
or between you and your assistant which is helping you to get things done
is helping you to get things done
is helping you to get things done throughout throughout your day I want to
throughout throughout your day I want to
throughout throughout your day I want to insist on the word conversation here
insist on the word conversation here
insist on the word conversation here because conversation is the most
because conversation is the most
because conversation is the most universal interface human beings have
universal interface human beings have
universal interface human beings have between themselves we all can talk to
between themselves we all can talk to
between themselves we all can talk to each other from the moment we work it to
each other from the moment we work it to
each other from the moment we work it to the moment with your older we can always
the moment with your older we can always
the moment with your older we can always try to have express ourselves using this
try to have express ourselves using this
try to have express ourselves using this conversation independent of age race
conversation independent of age race
conversation independent of age race literacy so if you solve the problem of
literacy so if you solve the problem of
literacy so if you solve the problem of conversation with machine if you can
conversation with machine if you can
conversation with machine if you can talk to machines then I can talk to
talk to machines then I can talk to
talk to machines then I can talk to everything I can talk to that chair I
everything I can talk to that chair I
everything I can talk to that chair I can talk to this phone I can talk to
can talk to this phone I can talk to
can talk to this phone I can talk to that device there and this is the same
that device there and this is the same
that device there and this is the same experience when we’re talking and in the
experience when we’re talking and in the
experience when we’re talking and in the conversation with all of this so I think
conversation with all of this so I think
conversation with all of this so I think the best way to actually show where we
the best way to actually show where we
the best way to actually show where we are moving is to show that with live
are moving is to show that with live
are moving is to show that with live demos and that’s why I have this device
demos and that’s why I have this device
demos and that’s why I have this device here which is going to project my phone
here which is going to project my phone
here which is going to project my phone and so in the arrest of in the rest of
and so in the arrest of in the rest of
and so in the arrest of in the rest of my talk now I’m going to show you some
my talk now I’m going to show you some
my talk now I’m going to show you some of the different capabilities that the
of the different capabilities that the
of the different capabilities that the assistant can do today and some of the
assistant can do today and some of the
assistant can do today and some of the capabilities which is coming in the
capabilities which is coming in the
capabilities which is coming in the future so let’s get started my password
future so let’s get started my password
future so let’s get started my password you can see it you could get it to I
you can see it you could get it to I
you can see it you could get it to I guess so the first thing I can I want to
guess so the first thing I can I want to
guess so the first thing I can I want to show you is to show you how the
show you is to show you how the
show you is to show you how the assistant should be answering questions
assistant should be answering questions
assistant should be answering questions we’re talking about the future assistant
we’re talking about the future assistant
we’re talking about the future assistant an ultimate assistant so let’s see can
an ultimate assistant so let’s see can
an ultimate assistant so let’s see can you please tell me how is the weather
you please tell me how is the weather
you please tell me how is the weather going to be in Lugano tomorrow so first
going to be in Lugano tomorrow so first
going to be in Lugano tomorrow so first please note that everything I’m showing
please note that everything I’m showing
please note that everything I’m showing you these are live demos they might fail
you these are live demos they might fail
you these are live demos they might fail and you might have fun it’s risky for me
and you might have fun it’s risky for me
and you might have fun it’s risky for me second note that the way I asked this
second note that the way I asked this
second note that the way I asked this question I asked a natural language
question I asked a natural language
question I asked a natural language question like can you please tell me
question like can you please tell me
question like can you please tell me before when we were entering the search
before when we were entering the search
before when we were entering the search box that on your PC you enter
box that on your PC you enter
box that on your PC you enter tomorrow Lugano but now you use this
tomorrow Lugano but now you use this
tomorrow Lugano but now you use this long sentence which is like how the
long sentence which is like how the
long sentence which is like how the humans talk so this is this means the
humans talk so this is this means the
humans talk so this is this means the natural language understanding and now
natural language understanding and now
natural language understanding and now we’re reaching the point that we can
we’re reaching the point that we can
we’re reaching the point that we can understand through machine learning and
understand through machine learning and
understand through machine learning and artificial intelligence that these mean
artificial intelligence that these mean
artificial intelligence that these mean the same thing but these are a task
the same thing but these are a task
the same thing but these are a task which might come day to day now when we
which might come day to day now when we
which might come day to day now when we talk about the assistant for billions of
talk about the assistant for billions of
talk about the assistant for billions of people we’re thinking about lots of
people we’re thinking about lots of
people we’re thinking about lots of different types of questions not only
different types of questions not only
different types of questions not only day-to-day questions so we have to work
day-to-day questions so we have to work
day-to-day questions so we have to work on really making the range of the
on really making the range of the
on really making the range of the answers that assistant is capable of
answers that assistant is capable of
answers that assistant is capable of saying to be hundreds of millions of
saying to be hundreds of millions of
saying to be hundreds of millions of different questions
different questions
different questions now I’m going to show you one example of
now I’m going to show you one example of
now I’m going to show you one example of a specific question to show you an idea
a specific question to show you an idea
a specific question to show you an idea of what’s possible to do show me a list
of what’s possible to do show me a list
of what’s possible to do show me a list of Rights in Europa Park okay so this is
of Rights in Europa Park okay so this is
of Rights in Europa Park okay so this is the right right and this is showing that
the right right and this is showing that
the right right and this is showing that this is a live demo show me a list of
this is a live demo show me a list of
this is a live demo show me a list of Rights in Europe a park Europa parks
Rights in Europe a park Europa parks
Rights in Europe a park Europa parks rides include Bluefire Silver Star Road
rides include Bluefire Silver Star Road
rides include Bluefire Silver Star Road and timber coaster and others what is
and timber coaster and others what is
and timber coaster and others what is the height restriction for blue fire you
the height restriction for blue fire you
the height restriction for blue fire you must be at least 1.31 meters tall to
must be at least 1.31 meters tall to
must be at least 1.31 meters tall to ride blue fire so we’re answering even
ride blue fire so we’re answering even
ride blue fire so we’re answering even very specific questions about a
very specific questions about a
very specific questions about a particular ride in a particular
particular ride in a particular
particular ride in a particular attraction park and this is capabilities
attraction park and this is capabilities
attraction park and this is capabilities of today and it’s going to grow and grow
of today and it’s going to grow and grow
of today and it’s going to grow and grow now let me show you another example of
now let me show you another example of
now let me show you another example of when you try to ask a question which is
when you try to ask a question which is
when you try to ask a question which is more complex and this is like a question
more complex and this is like a question
more complex and this is like a question which is a longer sentence I want to
which is a longer sentence I want to
which is a longer sentence I want to show you this kind of state of art of
show you this kind of state of art of
show you this kind of state of art of natural language understanding that
natural language understanding that
natural language understanding that we’re building what is the name of the
we’re building what is the name of the
we’re building what is the name of the movie where Tom Cruise acts in it and he
movie where Tom Cruise acts in it and he
movie where Tom Cruise acts in it and he plays pool and while playing pool he
plays pool and while playing pool he
plays pool and while playing pool he dances
here are some information about the
here are some information about the color of money
color of money
color of money former pool hustler Felsen decides he
former pool hustler Felsen decides he
former pool hustler Felsen decides he wants to return to the game by taking a
wants to return to the game by taking a
wants to return to the game by taking a pupil so as you see this is really like
pupil so as you see this is really like
pupil so as you see this is really like getting closer and closer that you don’t
getting closer and closer that you don’t
getting closer and closer that you don’t need to think how to ask your questions
need to think how to ask your questions
need to think how to ask your questions you should just say it that way and it
you should just say it that way and it
you should just say it that way and it should work now let’s show an example of
should work now let’s show an example of
should work now let’s show an example of how this voice interface would work with
how this voice interface would work with
how this voice interface would work with Street View for example again natural
Street View for example again natural
Street View for example again natural language and voice recognition together
language and voice recognition together
language and voice recognition together hey I would like to be on the top of
hey I would like to be on the top of
hey I would like to be on the top of eiffel tower can you please bring me
eiffel tower can you please bring me
eiffel tower can you please bring me there now so we don’t go totally there
there now so we don’t go totally there
there now so we don’t go totally there but at least we can have the Street View
but at least we can have the Street View
but at least we can have the Street View experience so so now think about think
experience so so now think about think
experience so so now think about think about when this voice interface is
about when this voice interface is
about when this voice interface is connected to all different types of
connected to all different types of
connected to all different types of applications and services and then you
applications and services and then you
applications and services and then you can just jump directly but just talking
can just jump directly but just talking
can just jump directly but just talking to the right points that you want okay
to the right points that you want okay
to the right points that you want okay so this is the first part of my demos
so this is the first part of my demos
so this is the first part of my demos which is about answering things getting
which is about answering things getting
which is about answering things getting things done but these are about
things done but these are about
things done but these are about answering things about the world and I
answering things about the world and I
answering things about the world and I want to now show you some examples of
want to now show you some examples of
want to now show you some examples of personal aspect of the assistant because
personal aspect of the assistant because
personal aspect of the assistant because this is a personal assistant it’s my
this is a personal assistant it’s my
this is a personal assistant it’s my assistant and it should also know me and
assistant and it should also know me and
assistant and it should also know me and do things for me for example my
do things for me for example my
do things for me for example my assistant should be able to do how is
assistant should be able to do how is
assistant should be able to do how is the traffic from Zurich Airport to my
the traffic from Zurich Airport to my
the traffic from Zurich Airport to my home so it should take 43 minutes so my
home so it should take 43 minutes so my
home so it should take 43 minutes so my assistant knows where my home is no sir
assistant knows where my home is no sir
assistant knows where my home is no sir my work is my calendar and this is all
my work is my calendar and this is all
my work is my calendar and this is all again thanks to machine learning it’s
again thanks to machine learning it’s
again thanks to machine learning it’s automatic it’s not that I explicitly
automatic it’s not that I explicitly
automatic it’s not that I explicitly said this email in my gmail is a flight
said this email in my gmail is a flight
said this email in my gmail is a flight or that’s my home address now you can
or that’s my home address now you can
or that’s my home address now you can also in the future and already from some
also in the future and already from some
also in the future and already from some now start to teach your assistant for
now start to teach your assistant for
now start to teach your assistant for example how is my team doing Barcelona
example how is my team doing Barcelona
example how is my team doing Barcelona second group so you start to know me
second group so you start to know me
second group so you start to know me during this talk
during this talk
during this talk the the way that the assistant knows my
the the way that the assistant knows my
the the way that the assistant knows my what my favorite team is what is my
what my favorite team is what is my
what my favorite team is what is my favorite team is that explicitly
favorite team is that explicitly
favorite team is that explicitly actually I said to their sis and I like
actually I said to their sis and I like
actually I said to their sis and I like Barcelona I said like few months back
Barcelona I said like few months back
Barcelona I said like few months back that think about how how much next level
that think about how how much next level
that think about how how much next level of smartness is that that you can just
of smartness is that that you can just
of smartness is that that you can just teach things let me show you one of the
teach things let me show you one of the
teach things let me show you one of the upcoming types of such changes when the
upcoming types of such changes when the
upcoming types of such changes when the weather is more than 25 degrees I can
weather is more than 25 degrees I can
weather is more than 25 degrees I can swim in the lake of Zurich so I just
swim in the lake of Zurich so I just
swim in the lake of Zurich so I just taught something to my assistant on this
taught something to my assistant on this
taught something to my assistant on this stage and now I’m going to check whether
stage and now I’m going to check whether
stage and now I’m going to check whether it understood it or not can I swim in
it understood it or not can I swim in
it understood it or not can I swim in the lake observe this weekend
okay now the assistant is not only about
okay now the assistant is not only about talking and conversation it’s also about
talking and conversation it’s also about
talking and conversation it’s also about seeing things humans see things and if
seeing things humans see things and if
seeing things humans see things and if you want to have natural conversations
you want to have natural conversations
you want to have natural conversations you expect that your assistant can
you expect that your assistant can
you expect that your assistant can understand what’s in the pictures now
understand what’s in the pictures now
understand what’s in the pictures now I’m going to show you how my assistant
I’m going to show you how my assistant
I’m going to show you how my assistant by applying machine learning and
by applying machine learning and
by applying machine learning and artificial intelligence on pictures can
artificial intelligence on pictures can
artificial intelligence on pictures can try to understand what’s in the picture
try to understand what’s in the picture
try to understand what’s in the picture and then combine that with voice and
and then combine that with voice and
and then combine that with voice and show you what that experience would look
show you what that experience would look
show you what that experience would look like show me pictures of me and my
like show me pictures of me and my
like show me pictures of me and my nephew drinking tea together so I never
nephew drinking tea together so I never
nephew drinking tea together so I never attacked any picture about drinking tea
attacked any picture about drinking tea
attacked any picture about drinking tea or about me this picture that I’m
or about me this picture that I’m
or about me this picture that I’m showing to you now this is all automatic
showing to you now this is all automatic
showing to you now this is all automatic this is all machine learning trying to
this is all machine learning trying to
this is all machine learning trying to understand that this is what’s what is
understand that this is what’s what is
understand that this is what’s what is happening in that picture and who are
happening in that picture and who are
happening in that picture and who are the people in that picture so let me
the people in that picture so let me
the people in that picture so let me show you another one show me my pictures
show you another one show me my pictures
show you another one show me my pictures of mountains so these are different
of mountains so these are different
of mountains so these are different mountains picture that I have let’s take
mountains picture that I have let’s take
mountains picture that I have let’s take on a one particular one anyone knows
on a one particular one anyone knows
on a one particular one anyone knows which one is this okay young forever
which one is this okay young forever
which one is this okay young forever that’s a good answer but let’s ask
that’s a good answer but let’s ask
that’s a good answer but let’s ask assistant what is the name of this
assistant what is the name of this
assistant what is the name of this mountain and how tall is it so again my
mountain and how tall is it so again my
mountain and how tall is it so again my assistant understands what’s in the
assistant understands what’s in the
assistant understands what’s in the picture and I can talk to him or it or
picture and I can talk to him or it or
picture and I can talk to him or it or her about what’s on the picture so let’s
her about what’s on the picture so let’s
her about what’s on the picture so let’s now move to other part of my demos which
now move to other part of my demos which
now move to other part of my demos which is about context humans when do we talk
is about context humans when do we talk
is about context humans when do we talk to each other we always use context to
to each other we always use context to
to each other we always use context to understand each other and so that the
understand each other and so that the
understand each other and so that the conversation is more natural now we’re
conversation is more natural now we’re
conversation is more natural now we’re adding context to machine conversations
adding context to machine conversations
adding context to machine conversations also to make the as the conversations
also to make the as the conversations
also to make the as the conversations become much more natural let me start by
become much more natural let me start by
become much more natural let me start by an example like show me pictures of
an example like show me pictures of
an example like show me pictures of Thomas without any context perhaps
Thomas without any context perhaps
Thomas without any context perhaps that’s the bestest someone can do now if
that’s the bestest someone can do now if
that’s the bestest someone can do now if I say
I say
I say Bionic team roster the roster for FC
Bionic team roster the roster for FC
Bionic team roster the roster for FC Bayern Munich includes Robert
Bayern Munich includes Robert
Bayern Munich includes Robert Lewandowski James Rodriguez Arjen
Lewandowski James Rodriguez Arjen
Lewandowski James Rodriguez Arjen Robinson others so now you see that
Robinson others so now you see that
Robinson others so now you see that there is someone here in this team
there is someone here in this team
there is someone here in this team called Thomas Muller so if that’s an
called Thomas Muller so if that’s an
called Thomas Muller so if that’s an exact same question show me pictures of
exact same question show me pictures of
exact same question show me pictures of Thomas so now we really understand what
Thomas so now we really understand what
Thomas so now we really understand what the meaning of Thomas here is Thomas
the meaning of Thomas here is Thomas
the meaning of Thomas here is Thomas Muller
Muller
Muller this means contextual smartness now let
this means contextual smartness now let
this means contextual smartness now let me show you a context in conversation
me show you a context in conversation
me show you a context in conversation where is the Empire State Building the
where is the Empire State Building the
where is the Empire State Building the address for Empire State Building is
address for Empire State Building is
address for Empire State Building is Empire State Building 355th Avenue so if
Empire State Building 355th Avenue so if
Empire State Building 355th Avenue so if I want to see pictures I want to see
I want to see pictures I want to see
I want to see pictures I want to see pictures and then the assistant will
pictures and then the assistant will
pictures and then the assistant will understand that the meaning of that
understand that the meaning of that
understand that the meaning of that sentence is pictures of the Empire State
sentence is pictures of the Empire State
sentence is pictures of the Empire State Building
Building
Building you can continue that such type of
you can continue that such type of
you can continue that such type of conversation how tall is it who built it
starik corporation when construction for
starik corporation when construction for the Empire State Building started in
the Empire State Building started in
the Empire State Building started in show me Italian restaurants around there
show me Italian restaurants around there
show me Italian restaurants around there we are in Lugano
we are in Lugano
we are in Lugano I found a few places call the first one
I found a few places call the first one
I found a few places call the first one so note that I’m having a conversation
so note that I’m having a conversation
so note that I’m having a conversation reader machine this is not a human sorry
reader machine this is not a human sorry
reader machine this is not a human sorry and I said only one time in Peyer State
and I said only one time in Peyer State
and I said only one time in Peyer State Building maybe if you don’t call
[Applause]
[Applause] I called them many times from Europe at
I called them many times from Europe at
I called them many times from Europe at the night time
the night time
the night time so but this is this is a machine where
so but this is this is a machine where
so but this is this is a machine where you can continuously have a conversation
you can continuously have a conversation
you can continuously have a conversation and not needing to repeat yourself at
and not needing to repeat yourself at
and not needing to repeat yourself at each step the sentence is understood
each step the sentence is understood
each step the sentence is understood thanks to the context the context is
thanks to the context the context is
thanks to the context the context is helping that the conversations become
helping that the conversations become
helping that the conversations become more natural so for my last demo last
more natural so for my last demo last
more natural so for my last demo last example I want to you notice that speech
example I want to you notice that speech
example I want to you notice that speech recognition failed one time and this is
recognition failed one time and this is
recognition failed one time and this is actually a real estate of art it has
actually a real estate of art it has
actually a real estate of art it has improved a lot but we also have been
improved a lot but we also have been
improved a lot but we also have been working on making a speech recognition
working on making a speech recognition
working on making a speech recognition improved in a noisy environment for that
improved in a noisy environment for that
improved in a noisy environment for that I need your help so we’ll play again
I need your help so we’ll play again
I need your help so we’ll play again we’re something together which means
we’re something together which means
we’re something together which means that I will ask at some moment to you to
that I will ask at some moment to you to
that I will ask at some moment to you to make as much noise as you can you can
make as much noise as you can you can
make as much noise as you can you can scream shout and whatever use your
scream shout and whatever use your
scream shout and whatever use your creativity and I will try to ask my
creativity and I will try to ask my
creativity and I will try to ask my assistant for example what is when is my
assistant for example what is when is my
assistant for example what is when is my team playing next Barcelona and try to
team playing next Barcelona and try to
team playing next Barcelona and try to show you that still should normally work
show you that still should normally work
show you that still should normally work inside setup your goal should be to make
inside setup your goal should be to make
inside setup your goal should be to make me say fail please mate and we can also
me say fail please mate and we can also
me say fail please mate and we can also cut my mic when I’m doing that so please
cut my mic when I’m doing that so please
cut my mic when I’m doing that so please please make as much noise as you can
please make as much noise as you can
please make as much noise as you can [Applause]
[Applause]
[Applause] so how can you fail so we can go back to
so how can you fail so we can go back to
so how can you fail so we can go back to the slides and so that I wrap up my talk
the slides and so that I wrap up my talk
the slides and so that I wrap up my talk so what you have what you have seen in
so what you have what you have seen in
so what you have what you have seen in these demos is kind of the state of art
these demos is kind of the state of art
these demos is kind of the state of art art of where we are we’re so excited of
art of where we are we’re so excited of
art of where we are we’re so excited of what can be done there is much much more
what can be done there is much much more
what can be done there is much much more because the technologies are getting
because the technologies are getting
because the technologies are getting ready to be put together and many types
ready to be put together and many types
ready to be put together and many types of assistive scenarios can be helping us
of assistive scenarios can be helping us
of assistive scenarios can be helping us throughout the day there are lots of
throughout the day there are lots of
throughout the day there are lots of different types of technologies the
different types of technologies the
different types of technologies the speech recognition image recognition
speech recognition image recognition
speech recognition image recognition context personalization and many more
context personalization and many more
context personalization and many more which is coming together to make these
which is coming together to make these
which is coming together to make these demos possible now the AI revolution is
demos possible now the AI revolution is
demos possible now the AI revolution is not only about the assistant the
not only about the assistant the
not only about the assistant the assistant is only one of those one of
assistant is only one of those one of
assistant is only one of those one of the parts of the AI revolution we have
the parts of the AI revolution we have
the parts of the AI revolution we have the health AI in health in agriculture
the health AI in health in agriculture
the health AI in health in agriculture smart cities smart cars there is lot
smart cities smart cars there is lot
smart cities smart cars there is lot more happening in AI the world is really
more happening in AI the world is really
more happening in AI the world is really becoming AI first but but even when you
becoming AI first but but even when you
becoming AI first but but even when you only think about the age of assistance
only think about the age of assistance
only think about the age of assistance and what assistant is we could able to
and what assistant is we could able to
and what assistant is we could able to do I’m super excited about this because
do I’m super excited about this because
do I’m super excited about this because I kind of feel that going back to the
I kind of feel that going back to the
I kind of feel that going back to the initial initial part of the talk we are
initial initial part of the talk we are
initial initial part of the talk we are also in the business of saving time
also in the business of saving time
also in the business of saving time think about without having this how much
think about without having this how much
think about without having this how much time you need to do to spend for doing
time you need to do to spend for doing
time you need to do to spend for doing the other types of examples which I
the other types of examples which I
the other types of examples which I showed you how much time you needed to
showed you how much time you needed to
showed you how much time you needed to spend to find those photos my photos
spend to find those photos my photos
spend to find those photos my photos with my nephew now this makes me even
with my nephew now this makes me even
with my nephew now this makes me even even more excited because saving time is
even more excited because saving time is
even more excited because saving time is something big
something big
something big if you save time from people’s life
if you save time from people’s life
if you save time from people’s life people have more time to spend on things
people have more time to spend on things
people have more time to spend on things which really matter thank you
”
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