I’m normally known for talking about disruptive technologies we are in the
disruptive technologies we are in the
disruptive technologies we are in the valley where we talking about new
valley where we talking about new
valley where we talking about new business models and what they’re
business models and what they’re
business models and what they’re happening but I’m gonna take a different
happening but I’m gonna take a different
happening but I’m gonna take a different tack today I want to talk about
tack today I want to talk about
tack today I want to talk about something that you can do with all these
something that you can do with all these
something that you can do with all these different technologies as they’re
different technologies as they’re
different technologies as they’re changing and I’m going to set the stage
changing and I’m going to set the stage
changing and I’m going to set the stage and talk about one of the ones that are
and talk about one of the ones that are
and talk about one of the ones that are the most exponential changing our lives
the most exponential changing our lives
the most exponential changing our lives not just on the business side but also
not just on the business side but also
not just on the business side but also on the personal side and so we’re gonna
on the personal side and so we’re gonna
on the personal side and so we’re gonna start with that now we’re seeing massive
start with that now we’re seeing massive
start with that now we’re seeing massive disruption in the marketplace one of the
disruption in the marketplace one of the
disruption in the marketplace one of the stats that we see is that 52% of the
stats that we see is that 52% of the
stats that we see is that 52% of the fortune 500 have been merged acquired
fortune 500 have been merged acquired
fortune 500 have been merged acquired gone bankrupt fallen off the list since
gone bankrupt fallen off the list since
gone bankrupt fallen off the list since 2000 these companies are going away
2000 these companies are going away
2000 these companies are going away they’re being disrupted organizations
they’re being disrupted organizations
they’re being disrupted organizations were going away they’re being disrupted
were going away they’re being disrupted
were going away they’re being disrupted and the reason this is changing is
and the reason this is changing is
and the reason this is changing is because we have exponential technologies
because we have exponential technologies
because we have exponential technologies that play apply to business models that
that play apply to business models that
that play apply to business models that are transforming every industry if you
are transforming every industry if you
are transforming every industry if you think about the top three the top five
think about the top three the top five
think about the top three the top five companies in every single category they
companies in every single category they
companies in every single category they are taking 40 to 70% of the market share
are taking 40 to 70% of the market share
are taking 40 to 70% of the market share they taking forty to seventy seven
they taking forty to seventy seven
they taking forty to seventy seven percent of the profits it is not
percent of the profits it is not
percent of the profits it is not creating a digital divide it is creating
creating a digital divide it is creating
creating a digital divide it is creating winner-takes-all markets in every area
winner-takes-all markets in every area
winner-takes-all markets in every area and this type of change is so disruptive
and this type of change is so disruptive
and this type of change is so disruptive now I want to illustrate what that
now I want to illustrate what that
now I want to illustrate what that change looks like because there’s
change looks like because there’s
change looks like because there’s different levels of innovation different
different levels of innovation different
different levels of innovation different levels of transformation that’s
levels of transformation that’s
levels of transformation that’s happening and we’re gonna do a few
happening and we’re gonna do a few
happening and we’re gonna do a few things to show you this one of those
things to show you this one of those
things to show you this one of those areas that’s transforming every business
areas that’s transforming every business
areas that’s transforming every business every part of personal life is
every part of personal life is
every part of personal life is artificial intelligence this is one of
artificial intelligence this is one of
artificial intelligence this is one of the factors that is going to transform
the factors that is going to transform
the factors that is going to transform not just those businesses not just your
not just those businesses not just your
not just those businesses not just your personal life but humanity so when we
personal life but humanity so when we
personal life but humanity so when we think about this level of disruption I’m
think about this level of disruption I’m
think about this level of disruption I’m gonna use some examples to show you what
gonna use some examples to show you what
gonna use some examples to show you what we’re talking about this isn’t a regular
we’re talking about this isn’t a regular
we’re talking about this isn’t a regular disruption this is a huge disruption so
disruption this is a huge disruption so
disruption this is a huge disruption so I’m gonna put something on the screen
I’m gonna put something on the screen
I’m gonna put something on the screen and I want you to yell out loud and tell
and I want you to yell out loud and tell
and I want you to yell out loud and tell me what you see are you guys ready all
me what you see are you guys ready all
me what you see are you guys ready all right three two one
right three two one
right three two one what do you see a Sony Walkman was
what do you see a Sony Walkman was
what do you see a Sony Walkman was anybody a lot less good anybody know
anybody a lot less good anybody know
anybody a lot less good anybody know when the swing came out
when the swing came out
when the swing came out yellow
yellow
yellow 85 61 sits 8281 okay we’re getting
85 61 sits 8281 okay we’re getting
85 61 sits 8281 okay we’re getting closer this thing came out in 79 or 81
closer this thing came out in 79 or 81
closer this thing came out in 79 or 81 depending where you live in Japan Oh 79
depending where you live in Japan Oh 79
depending where you live in Japan Oh 79 everywhere else in the world was 81
everywhere else in the world was 81
everywhere else in the world was 81 this device transformed how we looked at
this device transformed how we looked at
this device transformed how we looked at music being portable it was one of
music being portable it was one of
music being portable it was one of Sony’s early breakthroughs it was a
Sony’s early breakthroughs it was a
Sony’s early breakthroughs it was a disruptive technology because it allowed
disruptive technology because it allowed
disruptive technology because it allowed portable music and what’s interesting
portable music and what’s interesting
portable music and what’s interesting about the Walkman is when I grew up I
about the Walkman is when I grew up I
about the Walkman is when I grew up I basically cut lawns to pay for school
basically cut lawns to pay for school
basically cut lawns to pay for school and this was our way to get through
and this was our way to get through
and this was our way to get through things now I had to wait six to seven
things now I had to wait six to seven
things now I had to wait six to seven years later to find the next innovation
years later to find the next innovation
years later to find the next innovation that came out of Sony but when you look
that came out of Sony but when you look
that came out of Sony but when you look at things later it looks different so I
at things later it looks different so I
at things later it looks different so I want you to take a guess what do you
want you to take a guess what do you
want you to take a guess what do you think was the next innovation I’m gonna
think was the next innovation I’m gonna
think was the next innovation I’m gonna put it up on screen ready three two and
put it up on screen ready three two and
put it up on screen ready three two and I want you to yell out loud one what do
I want you to yell out loud one what do
I want you to yell out loud one what do you see the double cassette walkman you
you see the double cassette walkman you
you see the double cassette walkman you had two cassettes you could play if
had two cassettes you could play if
had two cassettes you could play if everybody knows what a cassette was and
everybody knows what a cassette was and
everybody knows what a cassette was and as a hundred a minute then it’s of music
as a hundred a minute then it’s of music
as a hundred a minute then it’s of music and that was the incremental innovation
and that was the incremental innovation
and that was the incremental innovation it wasn’t disruptive actually it wasn’t
it wasn’t disruptive actually it wasn’t
it wasn’t disruptive actually it wasn’t the CD disc man it wasn’t anything like
the CD disc man it wasn’t anything like
the CD disc man it wasn’t anything like this this was what incremental
this this was what incremental
this this was what incremental innovation looks like now what I want to
innovation looks like now what I want to
innovation looks like now what I want to do is give an example what an
do is give an example what an
do is give an example what an exponential technology does and what
exponential technology does and what
exponential technology does and what that type of transformational innovation
that type of transformational innovation
that type of transformational innovation looks like and the reason I’m bringing
looks like and the reason I’m bringing
looks like and the reason I’m bringing this up is because when you think about
this up is because when you think about
this up is because when you think about the iPod you think about design you
the iPod you think about design you
the iPod you think about design you think about ease of use but if you go
think about ease of use but if you go
think about ease of use but if you go back to the year 2000 and you think
back to the year 2000 and you think
back to the year 2000 and you think about how were you paid for music it was
about how were you paid for music it was
about how were you paid for music it was very different right in 2000 anybody
very different right in 2000 anybody
very different right in 2000 anybody know what the average cost of a CD was
know what the average cost of a CD was
know what the average cost of a CD was yell it out loud
yell it out loud
yell it out loud twelve fifteen sixteen some said twenty
twelve fifteen sixteen some said twenty
twelve fifteen sixteen some said twenty okay who got one good song raise your
okay who got one good song raise your
okay who got one good song raise your hands if you remember those days who got
hands if you remember those days who got
hands if you remember those days who got to anybody get two three okay so most
to anybody get two three okay so most
to anybody get two three okay so most people get two good songs at $10 a song
people get two good songs at $10 a song
people get two good songs at $10 a song right now in 2000 I didn’t pay for music
right now in 2000 I didn’t pay for music
right now in 2000 I didn’t pay for music I had Napster I had LimeWire I have
I had Napster I had LimeWire I have
I had Napster I had LimeWire I have Russian download sites I paid nothing
Russian download sites I paid nothing
Russian download sites I paid nothing for
for
for music but after 2000 what happened
music but after 2000 what happened
music but after 2000 what happened you paid 99 cents for music some of you
you paid 99 cents for music some of you
you paid 99 cents for music some of you guys still probably don’t pay for
guys still probably don’t pay for
guys still probably don’t pay for physics but you paid 99 cents for music
physics but you paid 99 cents for music
physics but you paid 99 cents for music and I went from nothing to 99 cents you
and I went from nothing to 99 cents you
and I went from nothing to 99 cents you went from $10 to 99 cents that is a
went from $10 to 99 cents that is a
went from $10 to 99 cents that is a business model disruption that is
business model disruption that is
business model disruption that is transformational now this is the type of
transformational now this is the type of
transformational now this is the type of technology we’re talking about now let’s
technology we’re talking about now let’s
technology we’re talking about now let’s take one more here who here had an
take one more here who here had an
take one more here who here had an iPhone in 2006 raise your hands high who
iPhone in 2006 raise your hands high who
iPhone in 2006 raise your hands high who are early adopters alright it came out
are early adopters alright it came out
are early adopters alright it came out in 2007 sorry about that but this one
in 2007 sorry about that but this one
in 2007 sorry about that but this one device is interesting because this one
device is interesting because this one
device is interesting because this one device took out 27 business models think
device took out 27 business models think
device took out 27 business models think about it what do you get your music
about it what do you get your music
about it what do you get your music where do you get a camera you don’t buy
where do you get a camera you don’t buy
where do you get a camera you don’t buy digital cameras man where’s your
digital cameras man where’s your
digital cameras man where’s your camcorder it’s here
camcorder it’s here
camcorder it’s here flashlight manufacturers disrupted by
flashlight manufacturers disrupted by
flashlight manufacturers disrupted by the iPhone who booth up and buys a
the iPhone who booth up and buys a
the iPhone who booth up and buys a flashlight so this one device took out
flashlight so this one device took out
flashlight so this one device took out 27 business models 50,000 products maybe
27 business models 50,000 products maybe
27 business models 50,000 products maybe 10 million jobs on one device this is
10 million jobs on one device this is
10 million jobs on one device this is the level of disruption we’re talking
the level of disruption we’re talking
the level of disruption we’re talking about this is when an exponential
about this is when an exponential
about this is when an exponential technology can do to your business model
technology can do to your business model
technology can do to your business model and with that is where we are and this
and with that is where we are and this
and with that is where we are and this is why I really want to talk about AI
is why I really want to talk about AI
is why I really want to talk about AI because when we think about AI this is
because when we think about AI this is
because when we think about AI this is where we are artificial intelligence now
where we are artificial intelligence now
where we are artificial intelligence now there are lots of technologies that are
there are lots of technologies that are
there are lots of technologies that are out there they’re gonna make this
out there they’re gonna make this
out there they’re gonna make this disruption but the reason I want to
disruption but the reason I want to
disruption but the reason I want to bring AI out here and all these other
bring AI out here and all these other
bring AI out here and all these other ones is because they operate on data
ones is because they operate on data
ones is because they operate on data your data everyone else’s data they
your data everyone else’s data they
your data everyone else’s data they bring that together to get to decisions
bring that together to get to decisions
bring that together to get to decisions to get to correlations and it becomes
to get to correlations and it becomes
to get to correlations and it becomes very important in and out of things it’s
very important in and out of things it’s
very important in and out of things it’s about capturing things that are
about capturing things that are
about capturing things that are happening in the background
happening in the background
happening in the background it’s about bringing that context to life
it’s about bringing that context to life
it’s about bringing that context to life where are you what’s happening what
where are you what’s happening what
where are you what’s happening what sensing if we think about 3d printing
sensing if we think about 3d printing
sensing if we think about 3d printing it’s about putting together things right
it’s about putting together things right
it’s about putting together things right on the fly to be able to made additive
on the fly to be able to made additive
on the fly to be able to made additive manufacturing if you think about a are
manufacturing if you think about a are
manufacturing if you think about a are and VR it’s basically transforming the
and VR it’s basically transforming the
and VR it’s basically transforming the word your visual paradigm in front of
word your visual paradigm in front of
word your visual paradigm in front of you and when we think about things like
you and when we think about things like
you and when we think about things like robotics its automating it’s creating
robotics its automating it’s creating
robotics its automating it’s creating human apper forces bringing that to life
human apper forces bringing that to life
human apper forces bringing that to life bringing our robots to be more like
bringing our robots to be more like
bringing our robots to be more like humans we think about blockchain it’s
humans we think about blockchain it’s
humans we think about blockchain it’s serving and bringing that data to
serving and bringing that data to
serving and bringing that data to everyone in connecting folks and when
everyone in connecting folks and when
everyone in connecting folks and when you think about AI it is augmenting
you think about AI it is augmenting
you think about AI it is augmenting humanity
humanity
humanity and maybe replacing humanity over time
and maybe replacing humanity over time
and maybe replacing humanity over time and why is this so important because we
and why is this so important because we
and why is this so important because we are in an era where AI as possible there
are in an era where AI as possible there
are in an era where AI as possible there are seven factors where artificial
are seven factors where artificial
are seven factors where artificial intelligence require the first one is
intelligence require the first one is
intelligence require the first one is lots of data and we’ve got tons of it
lots of data and we’ve got tons of it
lots of data and we’ve got tons of it we’re storing that and it’s happening in
we’re storing that and it’s happening in
we’re storing that and it’s happening in the cloud and also math talent right
the cloud and also math talent right
the cloud and also math talent right we’ve got lots of algorithms that were
we’ve got lots of algorithms that were
we’ve got lots of algorithms that were developed in the 70s and 80s before that
developed in the 70s and 80s before that
developed in the 70s and 80s before that compute power was available and its
compute power was available and its
compute power was available and its compute power that we suddenly have lots
compute power that we suddenly have lots
compute power that we suddenly have lots of access to again once again because of
of access to again once again because of
of access to again once again because of the cloud and it’s the ability to
the cloud and it’s the ability to
the cloud and it’s the ability to compress time and bring it together and
compress time and bring it together and
compress time and bring it together and then of course the expertise that
then of course the expertise that
then of course the expertise that everybody has that AI being the new UX
everybody has that AI being the new UX
everybody has that AI being the new UX being will talk to things that bringing
being will talk to things that bringing
being will talk to things that bringing together the ability to take
together the ability to take
together the ability to take recommendation engines and putting them
recommendation engines and putting them
recommendation engines and putting them together we are now in an era where
together we are now in an era where
together we are now in an era where artificial intelligence is possible it
artificial intelligence is possible it
artificial intelligence is possible it may look like predictive analytics today
may look like predictive analytics today
may look like predictive analytics today might be machine learning but we’re
might be machine learning but we’re
might be machine learning but we’re headed in a world war the computers
headed in a world war the computers
headed in a world war the computers could be smarter than us maybe they’ll
could be smarter than us maybe they’ll
could be smarter than us maybe they’ll be able to think Mabel to be a creative
be able to think Mabel to be a creative
be able to think Mabel to be a creative so let me tell you about the interesting
so let me tell you about the interesting
so let me tell you about the interesting story about the letter A I spent a
story about the letter A I spent a
story about the letter A I spent a summer in a major research institution
summer in a major research institution
summer in a major research institution in 1987 and I got there at a summer
in 1987 and I got there at a summer
in 1987 and I got there at a summer program is really excited I was a high
program is really excited I was a high
program is really excited I was a high school student doing internships sounds
school student doing internships sounds
school student doing internships sounds kind of fun and I met this guy who’d
kind of fun and I met this guy who’d
kind of fun and I met this guy who’d just figure out how to get a computer to
just figure out how to get a computer to
just figure out how to get a computer to find the letter A and so he’s talking
find the letter A and so he’s talking
find the letter A and so he’s talking about all the stuff that he did it was a
about all the stuff that he did it was a
about all the stuff that he did it was a two-year research process and he’s
two-year research process and he’s
two-year research process and he’s talking about how he’s able to get this
talking about how he’s able to get this
talking about how he’s able to get this and he’s like all excited he finally
and he’s like all excited he finally
and he’s like all excited he finally finished his thesis and he said look I
finished his thesis and he said look I
finished his thesis and he said look I succeeded we can now see the letter A I
succeeded we can now see the letter A I
succeeded we can now see the letter A I was it kind of cool so I asked him what
was it kind of cool so I asked him what
was it kind of cool so I asked him what are you gonna do next
are you gonna do next
are you gonna do next and he said I’m working on lowercase a
and he said I’m working on lowercase a
and he said I’m working on lowercase a and you realize what it was that’s it
and you realize what it was that’s it
and you realize what it was that’s it that’s all you could do in 1986 right
that’s all you could do in 1986 right
that’s all you could do in 1986 right and it made it very very hard but today
and it made it very very hard but today
and it made it very very hard but today we can do much more than that
we can do much more than that
we can do much more than that right today ai is this new user
right today ai is this new user
right today ai is this new user experience we talked to our machines
experience we talked to our machines
experience we talked to our machines we’re listening to them they’re
we’re listening to them they’re
we’re listening to them they’re listening to you right ai is the ability
listening to you right ai is the ability
listening to you right ai is the ability to connect in terms of touch sight sound
to connect in terms of touch sight sound
to connect in terms of touch sight sound conversations even
conversations even
conversations even since we’re seeing that all across the
since we’re seeing that all across the
since we’re seeing that all across the board who’s talking to their computers
board who’s talking to their computers
board who’s talking to their computers right now raise your hands all right
right now raise your hands all right
right now raise your hands all right who’s got an Alexa who’s talking to
who’s got an Alexa who’s talking to
who’s got an Alexa who’s talking to Syria or Google Voice or Google now
Syria or Google Voice or Google now
Syria or Google Voice or Google now right you’re talking to your machines
right you’re talking to your machines
right you’re talking to your machines they’re responding to you they’re making
they’re responding to you they’re making
they’re responding to you they’re making guesses right computer vision is real we
guesses right computer vision is real we
guesses right computer vision is real we can see things we can see patterns right
can see things we can see patterns right
can see things we can see patterns right they can tell that there’s an anomaly
they can tell that there’s an anomaly
they can tell that there’s an anomaly that can tell that someone doesn’t
that can tell that someone doesn’t
that can tell that someone doesn’t belong in the neighborhood someone might
belong in the neighborhood someone might
belong in the neighborhood someone might be able to do something that might be
be able to do something that might be
be able to do something that might be suspicious or malicious right and we’re
suspicious or malicious right and we’re
suspicious or malicious right and we’re almost getting to smell and taste at the
almost getting to smell and taste at the
almost getting to smell and taste at the same time computers can actually start
same time computers can actually start
same time computers can actually start figuring out smell and figuring out
figuring out smell and figuring out
figuring out smell and figuring out what’s happening and this is all
what’s happening and this is all
what’s happening and this is all happening all this requires lots of data
happening all this requires lots of data
happening all this requires lots of data and that data we’re willing to share
and that data we’re willing to share
and that data we’re willing to share we’re willing to sell we’re letting
we’re willing to sell we’re letting
we’re willing to sell we’re letting gifted people I’ll give you an example
gifted people I’ll give you an example
gifted people I’ll give you an example as these companies make these
as these companies make these
as these companies make these disruptions everything is about trying
disruptions everything is about trying
disruptions everything is about trying to figure out who you are or what’s
to figure out who you are or what’s
to figure out who you are or what’s happening so pick a toaster manufacturer
happening so pick a toaster manufacturer
happening so pick a toaster manufacturer these folks are in a very interesting
these folks are in a very interesting
these folks are in a very interesting situation right because if you sell a
situation right because if you sell a
situation right because if you sell a toaster to someone basically you have no
toaster to someone basically you have no
toaster to someone basically you have no idea who buys your toaster you sell it
idea who buys your toaster you sell it
idea who buys your toaster you sell it to 20 different companies 20 different
to 20 different companies 20 different
to 20 different companies 20 different stores right and so the only time
stores right and so the only time
stores right and so the only time someone calls up the toaster
someone calls up the toaster
someone calls up the toaster manufacturer is when there’s a problem
manufacturer is when there’s a problem
manufacturer is when there’s a problem right it’s broken it doesn’t work can
right it’s broken it doesn’t work can
right it’s broken it doesn’t work can you help me fix that and so it’s a very
you help me fix that and so it’s a very
you help me fix that and so it’s a very bad business because you sell it to
bad business because you sell it to
bad business because you sell it to someone you don’t know who they are and
someone you don’t know who they are and
someone you don’t know who they are and the only time they call you is but it
the only time they call you is but it
the only time they call you is but it doesn’t work and so what they’re trying
doesn’t work and so what they’re trying
doesn’t work and so what they’re trying to do is basically change that and this
to do is basically change that and this
to do is basically change that and this is where Internet of Things comes into
is where Internet of Things comes into
is where Internet of Things comes into play what they want you to do ultimately
play what they want you to do ultimately
play what they want you to do ultimately is register now whoever fills out the
is register now whoever fills out the
is register now whoever fills out the registration card for an appliance raise
registration card for an appliance raise
registration card for an appliance raise your hands oh my god we got one person
your hands oh my god we got one person
your hands oh my god we got one person that is amazing
that is amazing
that is amazing the average is point zero eight percent
the average is point zero eight percent
the average is point zero eight percent that ever felt the registration card so
that ever felt the registration card so
that ever felt the registration card so they don’t know who the people are on
they don’t know who the people are on
they don’t know who the people are on the back end and so if I actually
the back end and so if I actually
the back end and so if I actually created a product that said if you
created a product that said if you
created a product that said if you register and if you connect to the
register and if you connect to the
register and if you connect to the internet
internet
internet we will give you a new feature that you
we will give you a new feature that you
we will give you a new feature that you didn’t have before that registration
didn’t have before that registration
didn’t have before that registration goes 70 to 80 percent so if I told you
goes 70 to 80 percent so if I told you
goes 70 to 80 percent so if I told you register and I will get you a new
register and I will get you a new
register and I will get you a new feature I’ll tell you how many hours you
feature I’ll tell you how many hours you
feature I’ll tell you how many hours you have left on your toaster you’re more
have left on your toaster you’re more
have left on your toaster you’re more than likely to actually
than likely to actually
than likely to actually in fact I’ll tell you you have 20 hours
in fact I’ll tell you you have 20 hours
in fact I’ll tell you you have 20 hours left you’ve got a hundred toasts you’ve
left you’ve got a hundred toasts you’ve
left you’ve got a hundred toasts you’ve got a thousand toasts left on your
got a thousand toasts left on your
got a thousand toasts left on your toaster people will register it’s 70 80
toaster people will register it’s 70 80
toaster people will register it’s 70 80 percent because they want your data now
percent because they want your data now
percent because they want your data now why do they want to do that they want to
why do they want to do that they want to
why do they want to do that they want to figure out when that toaster is gonna
figure out when that toaster is gonna
figure out when that toaster is gonna bring what’s wrong with the toaster and
bring what’s wrong with the toaster and
bring what’s wrong with the toaster and once you’re connected they can do that
once you’re connected they can do that
once you’re connected they can do that and in fact by doing that and using your
and in fact by doing that and using your
and in fact by doing that and using your data they are able to create a couple
data they are able to create a couple
data they are able to create a couple business models and one of them is the
business models and one of them is the
business models and one of them is the ability to say hey I can tell you how
ability to say hey I can tell you how
ability to say hey I can tell you how long you have left on your toaster the
long you have left on your toaster the
long you have left on your toaster the second thing that can actually happen
second thing that can actually happen
second thing that can actually happen over time is they can say would you like
over time is they can say would you like
over time is they can say would you like to buy another toaster I know you got a
to buy another toaster I know you got a
to buy another toaster I know you got a hundred toast left if you like a new
hundred toast left if you like a new
hundred toast left if you like a new toaster in two to three weeks we can
toaster in two to three weeks we can
toaster in two to three weeks we can make sure that happens for you and so
make sure that happens for you and so
make sure that happens for you and so suddenly they have ability to figure out
suddenly they have ability to figure out
suddenly they have ability to figure out how to get you toast as a service and on
how to get you toast as a service and on
how to get you toast as a service and on top of that once they have that in place
top of that once they have that in place
top of that once they have that in place they can figure out Wow
they can figure out Wow
they can figure out Wow when your toaster is gonna break or if
when your toaster is gonna break or if
when your toaster is gonna break or if they can fix it they can actually send
they can fix it they can actually send
they can fix it they can actually send someone there before it breaks and then
someone there before it breaks and then
someone there before it breaks and then after that they have the ability to go
after that they have the ability to go
after that they have the ability to go out and figure out hey maybe I can sell
out and figure out hey maybe I can sell
out and figure out hey maybe I can sell you something else make me I can connect
you something else make me I can connect
you something else make me I can connect you and all these new business models
you and all these new business models
you and all these new business models that we’re talking about are powered by
that we’re talking about are powered by
that we’re talking about are powered by data they want to know when you use the
data they want to know when you use the
data they want to know when you use the toaster why use the toaster what part is
toaster why use the toaster what part is
toaster why use the toaster what part is broken they want to know how often
broken they want to know how often
broken they want to know how often people use toasters they want to know
people use toasters they want to know
people use toasters they want to know when these things what suppliers and
when these things what suppliers and
when these things what suppliers and parts break and and that’s what they’re
parts break and and that’s what they’re
parts break and and that’s what they’re trying to do and so every time we see
trying to do and so every time we see
trying to do and so every time we see these new business models you’re gonna
these new business models you’re gonna
these new business models you’re gonna see they’re being powered by data now
see they’re being powered by data now
see they’re being powered by data now the other piece that’s important here is
the other piece that’s important here is
the other piece that’s important here is they’re building for mass
they’re building for mass
they’re building for mass personalization at scale in a digital
personalization at scale in a digital
personalization at scale in a digital world people want to connect to you on a
world people want to connect to you on a
world people want to connect to you on a one-on-one basis and that connection
one-on-one basis and that connection
one-on-one basis and that connection point is now happening and there’s three
point is now happening and there’s three
point is now happening and there’s three things that are required to do that the
things that are required to do that the
things that are required to do that the first one is context where are you who
first one is context where are you who
first one is context where are you who are you where are you standing what’s
are you where are you standing what’s
are you where are you standing what’s the weather like right what time of day
the weather like right what time of day
the weather like right what time of day is it how do you feel are you happy are
is it how do you feel are you happy are
is it how do you feel are you happy are you sad what’s going on and that’s the
you sad what’s going on and that’s the
you sad what’s going on and that’s the first part they use context because the
first part they use context because the
first part they use context because the more context you have the more relevant
more context you have the more relevant
more context you have the more relevant you are and the more relevant you have
you are and the more relevant you have
you are and the more relevant you have the more likely you can earn the
the more likely you can earn the
the more likely you can earn the permission to engage otherwise you hit
permission to engage otherwise you hit
permission to engage otherwise you hit delete or you ignore someone you’re like
delete or you ignore someone you’re like
delete or you ignore someone you’re like oh that’s not interesting and that’s why
oh that’s not interesting and that’s why
oh that’s not interesting and that’s why they’re gathering all that data the
they’re gathering all that data the
they’re gathering all that data the second part is providing choices right
second part is providing choices right
second part is providing choices right core members choose your own adventure
core members choose your own adventure
core members choose your own adventure books these things are great you start
books these things are great you start
books these things are great you start on page one you go page 37 come to the
on page one you go page 37 come to the
on page one you go page 37 come to the 56 come back to 20 whoops sorry the end
56 come back to 20 whoops sorry the end
56 come back to 20 whoops sorry the end and there’s 27 possible endings the
and there’s 27 possible endings the
and there’s 27 possible endings the interesting thing about these books is
interesting thing about these books is
interesting thing about these books is every choice in a digital world is a
every choice in a digital world is a
every choice in a digital world is a signal it tells you what you’re going to
signal it tells you what you’re going to
signal it tells you what you’re going to do not what you said you were gonna do
do not what you said you were gonna do
do not what you said you were gonna do not what you thought about you’re doing
not what you thought about you’re doing
not what you thought about you’re doing it knows exactly what you’re going to do
it knows exactly what you’re going to do
it knows exactly what you’re going to do and then the third thing is a thing
and then the third thing is a thing
and then the third thing is a thing called anticipatory analytics and these
called anticipatory analytics and these
called anticipatory analytics and these anticipatory analytics are thinking
anticipatory analytics are thinking
anticipatory analytics are thinking about what will happen so there’s a
about what will happen so there’s a
about what will happen so there’s a famous hockey player named Wayne Gretzky
famous hockey player named Wayne Gretzky
famous hockey player named Wayne Gretzky and someone asked his father what made
and someone asked his father what made
and someone asked his father what made him a wonderful hockey player and the
him a wonderful hockey player and the
him a wonderful hockey player and the answer was he skates to where the puck
answer was he skates to where the puck
answer was he skates to where the puck will be it’s a very profound statement
will be it’s a very profound statement
will be it’s a very profound statement how does he know where the puck will be
how does he know where the puck will be
how does he know where the puck will be and that’s the anticipatory Analects he
and that’s the anticipatory Analects he
and that’s the anticipatory Analects he takes the guess he thinks about where
takes the guess he thinks about where
takes the guess he thinks about where it’s gonna go and when you take context
it’s gonna go and when you take context
it’s gonna go and when you take context and choice and anticipatory analytics
and choice and anticipatory analytics
and choice and anticipatory analytics you have the ability to figure out how
you have the ability to figure out how
you have the ability to figure out how to deliver a mass personalization at
to deliver a mass personalization at
to deliver a mass personalization at scale and that uses a lot of data so how
scale and that uses a lot of data so how
scale and that uses a lot of data so how these AI driven smart services are being
these AI driven smart services are being
these AI driven smart services are being built will look like this it’s a simple
built will look like this it’s a simple
built will look like this it’s a simple example I walk into a large building I’m
example I walk into a large building I’m
example I walk into a large building I’m in the lobby
in the lobby
in the lobby it does a 27-point facial scan it does a
it does a 27-point facial scan it does a
it does a 27-point facial scan it does a gait analysis it sees where I’m going
gait analysis it sees where I’m going
gait analysis it sees where I’m going and it says it looks like Ray he’s on
and it says it looks like Ray he’s on
and it says it looks like Ray he’s on the 15th floor
the 15th floor
the 15th floor starts sending elevators down it doesn’t
starts sending elevators down it doesn’t
starts sending elevators down it doesn’t even know who I am but it’s taking a
even know who I am but it’s taking a
even know who I am but it’s taking a guess and says send elevators down I
guess and says send elevators down I
guess and says send elevators down I swipe my badge in I get into the
swipe my badge in I get into the
swipe my badge in I get into the elevator and it says would you like to
elevator and it says would you like to
elevator and it says would you like to go to the 15th floor there’s a 90%
go to the 15th floor there’s a 90%
go to the 15th floor there’s a 90% chance I’m gonna go to the 15th floor
chance I’m gonna go to the 15th floor
chance I’m gonna go to the 15th floor well it’s kind of cool now I’ve been
well it’s kind of cool now I’ve been
well it’s kind of cool now I’ve been trying to meet with my boss she’s on the
trying to meet with my boss she’s on the
trying to meet with my boss she’s on the 25th floor she’s got a 15-minute window
25th floor she’s got a 15-minute window
25th floor she’s got a 15-minute window for a meeting and it says option number
for a meeting and it says option number
for a meeting and it says option number 2 would you like to meet with your boss
2 would you like to meet with your boss
2 would you like to meet with your boss she’s on the 25th floor
she’s on the 25th floor
she’s on the 25th floor oh so it’s very cool so I got a 90%
oh so it’s very cool so I got a 90%
oh so it’s very cool so I got a 90% probability I’m gonna go to the 15th
probability I’m gonna go to the 15th
probability I’m gonna go to the 15th floor I got an 87% probably I might take
floor I got an 87% probably I might take
floor I got an 87% probably I might take the meeting with my boss but then option
the meeting with my boss but then option
the meeting with my boss but then option 3 comes in as a test to see what I’m
3 comes in as a test to see what I’m
3 comes in as a test to see what I’m gonna do it says right there are donuts
gonna do it says right there are donuts
gonna do it says right there are donuts on the fifth floor so which choice
on the fifth floor so which choice
on the fifth floor so which choice should I take the donuts the meeting or
should I take the donuts the meeting or
should I take the donuts the meeting or good in my office donuts all right we’re
good in my office donuts all right we’re
good in my office donuts all right we’re going with donuts and so you get the
going with donuts and so you get the
going with donuts and so you get the idea
idea
idea and this is gonna happen to us every day
and this is gonna happen to us every day
and this is gonna happen to us every day we’re gonna get different choices based
we’re gonna get different choices based
we’re gonna get different choices based on probability based on context choices
on probability based on context choices
on probability based on context choices and anticipatory analytics and we’re
and anticipatory analytics and we’re
and anticipatory analytics and we’re doing that already when we make choices
doing that already when we make choices
doing that already when we make choices on our phones we make choices digitally
on our phones we make choices digitally
on our phones we make choices digitally and that’s how these systems are inbuilt
and that’s how these systems are inbuilt
and that’s how these systems are inbuilt and they use lots of data in fact what
and they use lots of data in fact what
and they use lots of data in fact what we’re really trying to do here is we’re
we’re really trying to do here is we’re
we’re really trying to do here is we’re building for outcomes right we start by
building for outcomes right we start by
building for outcomes right we start by figuring out hey what’s happening around
figuring out hey what’s happening around
figuring out hey what’s happening around us and then we start fitting it can you
us and then we start fitting it can you
us and then we start fitting it can you tell me can you give me an alert to
tell me can you give me an alert to
tell me can you give me an alert to notification then what we ask is help me
notification then what we ask is help me
notification then what we ask is help me make a recommendation and then
make a recommendation and then
make a recommendation and then ultimately can you automate that in the
ultimately can you automate that in the
ultimately can you automate that in the era of artificial intelligence we are at
era of artificial intelligence we are at
era of artificial intelligence we are at this automation part we are starting to
this automation part we are starting to
this automation part we are starting to predict things from happening we’re
predict things from happening we’re
predict things from happening we’re starting to prevent things from
starting to prevent things from
starting to prevent things from happening and that’s why you’re seeing a
happening and that’s why you’re seeing a
happening and that’s why you’re seeing a big rush towards building systems that
big rush towards building systems that
big rush towards building systems that are built for artificial intelligence
are built for artificial intelligence
are built for artificial intelligence changing the way you work augmenting
changing the way you work augmenting
changing the way you work augmenting your decisions and we love it we love
your decisions and we love it we love
your decisions and we love it we love those recommendations we love to know if
those recommendations we love to know if
those recommendations we love to know if you watched house of cards you might
you watched house of cards you might
you watched house of cards you might like Game of Thrones right we loved
like Game of Thrones right we loved
like Game of Thrones right we loved having those recommendations at the
having those recommendations at the
having those recommendations at the consumer level and now it’s happening at
consumer level and now it’s happening at
consumer level and now it’s happening at the business level and there’s a big
the business level and there’s a big
the business level and there’s a big rush right
rush right
rush right there’s hundreds of billions of dollars
there’s hundreds of billions of dollars
there’s hundreds of billions of dollars being invested in these systems and then
being invested in these systems and then
being invested in these systems and then we ask these types of questions
we ask these types of questions
we ask these types of questions well the robots take over who thinks the
well the robots take over who thinks the
well the robots take over who thinks the robots are gonna take over raise your
robots are gonna take over raise your
robots are gonna take over raise your hands oh no we got this dope you know
hands oh no we got this dope you know
hands oh no we got this dope you know it’s getting good so who think this is
it’s getting good so who think this is
it’s getting good so who think this is but this is where we see this we see a
but this is where we see this we see a
but this is where we see this we see a possibility where this might happen
possibility where this might happen
possibility where this might happen find the human in the factory anyone see
find the human in the factory anyone see
find the human in the factory anyone see the human right there right there
the human right there right there
the human right there right there there’s two okay all right no but I
there’s two okay all right no but I
there’s two okay all right no but I don’t think the robots are taking over
don’t think the robots are taking over
don’t think the robots are taking over the world but but we are so compelled at
the world but but we are so compelled at
the world but but we are so compelled at the power of this technology where
the power of this technology where
the power of this technology where artificial intelligence is happening
artificial intelligence is happening
artificial intelligence is happening that we’re starting to wonder when
that we’re starting to wonder when
that we’re starting to wonder when robots do things better than humans or
robots do things better than humans or
robots do things better than humans or when machines do better things than
when machines do better things than
when machines do better things than human and there are a couple places
human and there are a couple places
human and there are a couple places where we’re really good at we’re good
where we’re really good at we’re good
where we’re really good at we’re good when it’s really complex but so are the
when it’s really complex but so are the
when it’s really complex but so are the machines we’re good when it’s really
machines we’re good when it’s really
machines we’re good when it’s really creative thank god that’s the area where
creative thank god that’s the area where
creative thank god that’s the area where we were much better at and we’re really
we were much better at and we’re really
we were much better at and we’re really good when you have to physically be
good when you have to physically be
good when you have to physically be there but all this other stuff lots of
there but all this other stuff lots of
there but all this other stuff lots of volume right lots of repetitiveness
volume right lots of repetitiveness
volume right lots of repetitiveness that’s where machines and computing come
that’s where machines and computing come
that’s where machines and computing come into
into
into why when we think about the time to
why when we think about the time to
why when we think about the time to complete one if they do things really
complete one if they do things really
complete one if they do things really quickly when we think about what happens
quickly when we think about what happens
quickly when we think about what happens in terms of how many connections we have
in terms of how many connections we have
in terms of how many connections we have that’s where humans fail that’s where
that’s where humans fail that’s where
that’s where humans fail that’s where machines do a better job and in fact if
machines do a better job and in fact if
machines do a better job and in fact if I put this chart up maybe another 20
I put this chart up maybe another 20
I put this chart up maybe another 20 years we might lose some of those areas
years we might lose some of those areas
years we might lose some of those areas because the machines are a little bit
because the machines are a little bit
because the machines are a little bit better but that’s okay
better but that’s okay
better but that’s okay what we’re really trying to do is
what we’re really trying to do is
what we’re really trying to do is augment humanity right some jobs will go
augment humanity right some jobs will go
augment humanity right some jobs will go away we know that’s going to happen but
away we know that’s going to happen but
away we know that’s going to happen but we see this in a market that’s coming
we see this in a market that’s coming
we see this in a market that’s coming and so the question then comes we built
and so the question then comes we built
and so the question then comes we built this cool exponential technology we are
this cool exponential technology we are
this cool exponential technology we are transforming business models lives are
transforming business models lives are
transforming business models lives are being changed what are the ethics behind
being changed what are the ethics behind
being changed what are the ethics behind this what are the ethics what has to
this what are the ethics what has to
this what are the ethics what has to happen so who’s just heard the story two
happen so who’s just heard the story two
happen so who’s just heard the story two cars of two of haast vehicles crash who
cars of two of haast vehicles crash who
cars of two of haast vehicles crash who lives you want to hear this story it’s a
lives you want to hear this story it’s a
lives you want to hear this story it’s a classic ethics question right and so the
classic ethics question right and so the
classic ethics question right and so the often the question is is it the you know
often the question is is it the you know
often the question is is it the you know young 18 year old is it the single
young 18 year old is it the single
young 18 year old is it the single mother is it the pregnant woman is it
mother is it the pregnant woman is it
mother is it the pregnant woman is it the successful businessman is it the
the successful businessman is it the
the successful businessman is it the politician and that’s the question was
politician and that’s the question was
politician and that’s the question was asked so you’re building these systems
asked so you’re building these systems
asked so you’re building these systems who gets to play God well the obvious
who gets to play God well the obvious
who gets to play God well the obvious answer is you know there’s gonna be an
answer is you know there’s gonna be an
answer is you know there’s gonna be an accident so send the cars out but don’t
accident so send the cars out but don’t
accident so send the cars out but don’t send the humans so that’s one way to do
send the humans so that’s one way to do
send the humans so that’s one way to do it um but we’ve also heard this other
it um but we’ve also heard this other
it um but we’ve also heard this other thing um where does ethics come from and
thing um where does ethics come from and
thing um where does ethics come from and so I’m gonna take a perspective it might
so I’m gonna take a perspective it might
so I’m gonna take a perspective it might be a little bit offensive but I want you
be a little bit offensive but I want you
be a little bit offensive but I want you to think it through so a Thomas vehicle
to think it through so a Thomas vehicle
to think it through so a Thomas vehicle hits a pet in Canada what would happen
hits a pet in Canada what would happen
hits a pet in Canada what would happen well in the culture and the ethics in
well in the culture and the ethics in
well in the culture and the ethics in Canada they would look at the pet that
Canada they would look at the pet that
Canada they would look at the pet that would scan the pet tag they’d send a
would scan the pet tag they’d send a
would scan the pet tag they’d send a message to the owner and say I’m so
message to the owner and say I’m so
message to the owner and say I’m so sorry we’ve hit your pet we are taking
sorry we’ve hit your pet we are taking
sorry we’ve hit your pet we are taking the vehicle to the nearest nearest
the vehicle to the nearest nearest
the vehicle to the nearest nearest hospital right and that is the nearest
hospital right and that is the nearest
hospital right and that is the nearest veterinary clinic and we’re gonna take
veterinary clinic and we’re gonna take
veterinary clinic and we’re gonna take care of them we are so sorry please come
care of them we are so sorry please come
care of them we are so sorry please come see your pet I just want you to know
see your pet I just want you to know
see your pet I just want you to know that happen right does that sound like
that happen right does that sound like
that happen right does that sound like Canada yeah that sounds like Canada all
Canada yeah that sounds like Canada all
Canada yeah that sounds like Canada all right at ours vehicle it’s a pet in
right at ours vehicle it’s a pet in
right at ours vehicle it’s a pet in Russia
Russia
Russia yeah no no hold on what happens quick
yeah no no hold on what happens quick
yeah no no hold on what happens quick you reach the film we were never here
you reach the film we were never here
you reach the film we were never here change our GPS and run
change our GPS and run
change our GPS and run and that’s perfectly acceptable it’s
and that’s perfectly acceptable it’s
and that’s perfectly acceptable it’s perfectly a cell phone a truss vehicle
perfectly a cell phone a truss vehicle
perfectly a cell phone a truss vehicle hits a pet in China hmm let’s see how
hits a pet in China hmm let’s see how
hits a pet in China hmm let’s see how BIG’s the pet what’s the fine for
BIG’s the pet what’s the fine for
BIG’s the pet what’s the fine for hitting the pet and how much does it
hitting the pet and how much does it
hitting the pet and how much does it cost for the pet to live all right run
cost for the pet to live all right run
cost for the pet to live all right run the pet over two times and we’re gonna
the pet over two times and we’re gonna
the pet over two times and we’re gonna eat it
eat it
eat it nobody’s getting all right I can do that
nobody’s getting all right I can do that
nobody’s getting all right I can do that but you get what I’m saying what is the
but you get what I’m saying what is the
but you get what I’m saying what is the correct answer what is the correct
correct answer what is the correct
correct answer what is the correct answer
answer
answer I don’t know and what we’re trying right
I don’t know and what we’re trying right
I don’t know and what we’re trying right now is we’re asking these types of
now is we’re asking these types of
now is we’re asking these types of questions right ethics are reflection of
questions right ethics are reflection of
questions right ethics are reflection of our values ethics are reflection of what
our values ethics are reflection of what
our values ethics are reflection of what our societal norms are and they’re
our societal norms are and they’re
our societal norms are and they’re different everywhere we can’t even agree
different everywhere we can’t even agree
different everywhere we can’t even agree in the UN on what’s right right because
in the UN on what’s right right because
in the UN on what’s right right because we’re all different and we bring
we’re all different and we bring
we’re all different and we bring different levels and we have this belief
different levels and we have this belief
different levels and we have this belief that there’s going to be one assuming
that there’s going to be one assuming
that there’s going to be one assuming excellent set of ethics to govern AI or
excellent set of ethics to govern AI or
excellent set of ethics to govern AI or govern the future of biomedical
govern the future of biomedical
govern the future of biomedical engineering or any of these technologies
engineering or any of these technologies
engineering or any of these technologies and and that’s what I’m worried about
and and that’s what I’m worried about
and and that’s what I’m worried about right as a technologist in the valley as
right as a technologist in the valley as
right as a technologist in the valley as someone that loves disruptive
someone that loves disruptive
someone that loves disruptive technologies and business models are
technologies and business models are
technologies and business models are happening I want you to take an ethical
happening I want you to take an ethical
happening I want you to take an ethical view I want you to rethink about where
view I want you to rethink about where
view I want you to rethink about where this is all going alam mosque may have a
this is all going alam mosque may have a
this is all going alam mosque may have a point he may have a point will the
point he may have a point will the
point he may have a point will the robots take over whoa ai be sinister
robots take over whoa ai be sinister
robots take over whoa ai be sinister will it completely take over the world
will it completely take over the world
will it completely take over the world we had some rules in robotics Isaac
we had some rules in robotics Isaac
we had some rules in robotics Isaac Asimov talked about rules these three
Asimov talked about rules these three
Asimov talked about rules these three rules were you don’t do harm to humans
rules were you don’t do harm to humans
rules were you don’t do harm to humans ultimately right but but we have to
ultimately right but but we have to
ultimately right but but we have to rethink this and part of this comes to
rethink this and part of this comes to
rethink this and part of this comes to you it comes to you as the next
you it comes to you as the next
you it comes to you as the next generation to think about blending both
generation to think about blending both
generation to think about blending both the technology and the broader view if
the technology and the broader view if
the technology and the broader view if you’re science technology engineering
you’re science technology engineering
you’re science technology engineering math balance it out with ethnography
math balance it out with ethnography
math balance it out with ethnography philosophy anthropology we need digital
philosophy anthropology we need digital
philosophy anthropology we need digital artisans in this area because we’re
artisans in this area because we’re
artisans in this area because we’re building awesome things we’re building
building awesome things we’re building
building awesome things we’re building disruptive technologies but we’re also
disruptive technologies but we’re also
disruptive technologies but we’re also not thinking about the societal
not thinking about the societal
not thinking about the societal consequences and we’re not thinking
consequences and we’re not thinking
consequences and we’re not thinking about it from a holistic framework there
about it from a holistic framework there
about it from a holistic framework there are politics there’s economic there’s
are politics there’s economic there’s
are politics there’s economic there’s legislative there’s environmental
legislative there’s environmental
legislative there’s environmental consequences to everything we do and
consequences to everything we do and
consequences to everything we do and while we get excited about the
while we get excited about the
while we get excited about the technologies we have while we get
technologies we have while we get
technologies we have while we get excited by
excited by
excited by these disruptions and exponential
these disruptions and exponential
these disruptions and exponential technologies we have to think about
technologies we have to think about
technologies we have to think about where we go next
where we go next
where we go next and this is what I really came here to
and this is what I really came here to
and this is what I really came here to talk about was how we get from here to
talk about was how we get from here to
talk about was how we get from here to the Star Trek economy people don’t work
the Star Trek economy people don’t work
the Star Trek economy people don’t work for money people think about ideas
for money people think about ideas
for money people think about ideas people look at it in a different light
people look at it in a different light
people look at it in a different light right almost every invention that we’ve
right almost every invention that we’ve
right almost every invention that we’ve been building is really towards these
been building is really towards these
been building is really towards these Star Trek economies think transporters
Star Trek economies think transporters
Star Trek economies think transporters and mobile devices and translators and
and mobile devices and translators and
and mobile devices and translators and all these different things that were
all these different things that were
all these different things that were coming up with do we tax robots right I
coming up with do we tax robots right I
coming up with do we tax robots right I wanted to put a slide up that might have
wanted to put a slide up that might have
wanted to put a slide up that might have seemed offensive and I didn’t do it but
seemed offensive and I didn’t do it but
seemed offensive and I didn’t do it but there will be a picture one day in the
there will be a picture one day in the
there will be a picture one day in the paper where the robots are taking down
paper where the robots are taking down
paper where the robots are taking down human statues because they oppressed us
human statues because they oppressed us
human statues because they oppressed us think about it
think about it
think about it robots like yeah they took advantage of
robots like yeah they took advantage of
robots like yeah they took advantage of us we have to get rid of these humans
us we have to get rid of these humans
us we have to get rid of these humans right but but that’s what we have to
right but but that’s what we have to
right but but that’s what we have to think about at a societal level right
think about at a societal level right
think about at a societal level right it’s privacy dead who thinks privacy is
it’s privacy dead who thinks privacy is
it’s privacy dead who thinks privacy is dead raise your hands
dead raise your hands
dead raise your hands all right who thinks privacy isn’t dead
all right who thinks privacy isn’t dead
all right who thinks privacy isn’t dead raise your hands all right we’re split
raise your hands all right we’re split
raise your hands all right we’re split 50-50 let’s look at it this way we are
50-50 let’s look at it this way we are
50-50 let’s look at it this way we are happy to trade our privacy for
happy to trade our privacy for
happy to trade our privacy for convenience we give information because
convenience we give information because
convenience we give information because we are on a free website who’s got a
we are on a free website who’s got a
we are on a free website who’s got a Finster Graham account and our Instagram
Finster Graham account and our Instagram
Finster Graham account and our Instagram account since their insta right people
account since their insta right people
account since their insta right people create fake profiles right but it’s
create fake profiles right but it’s
create fake profiles right but it’s because we’re trying to save some part
because we’re trying to save some part
because we’re trying to save some part of our profile right was trying to save
of our profile right was trying to save
of our profile right was trying to save some part of our privacy but we are
some part of our privacy but we are
some part of our privacy but we are trading information to make things
trading information to make things
trading information to make things easier but we keep getting chipped at a
easier but we keep getting chipped at a
easier but we keep getting chipped at a little bit we’re trading privacy for
little bit we’re trading privacy for
little bit we’re trading privacy for security right because we want to feel
security right because we want to feel
security right because we want to feel safe right and we feel that that’s
safe right and we feel that that’s
safe right and we feel that that’s enough and all across the board we’re
enough and all across the board we’re
enough and all across the board we’re trading privacy away but let’s take a
trading privacy away but let’s take a
trading privacy away but let’s take a holistic view a baby born in the year
holistic view a baby born in the year
holistic view a baby born in the year 2050 what rights what privileges what
2050 what rights what privileges what
2050 what rights what privileges what roles what responsibilities will they
roles what responsibilities will they
roles what responsibilities will they have I want you to think about that can
have I want you to think about that can
have I want you to think about that can they be disconnected and not seen as a
they be disconnected and not seen as a
they be disconnected and not seen as a terrorist can they pay in cash will
terrorist can they pay in cash will
terrorist can they pay in cash will there be cash will be a crypto currency
there be cash will be a crypto currency
there be cash will be a crypto currency right those are the questions were going
right those are the questions were going
right those are the questions were going to have to ask and importantly even more
to have to ask and importantly even more
to have to ask and importantly even more importantly
importantly
importantly privacy isn’t dead anymore privacy we
privacy isn’t dead anymore privacy we
privacy isn’t dead anymore privacy we have to defend privacy at the heart of
have to defend privacy at the heart of
have to defend privacy at the heart of it because the data that we have the
it because the data that we have the
it because the data that we have the information that we have this is an
information that we have this is an
information that we have this is an international human right and my
international human right and my
international human right and my question to you is will you be able to
question to you is will you be able to
question to you is will you be able to defend this international human right
defend this international human right
defend this international human right will you be able to think about the
will you be able to think about the
will you be able to think about the privacy implications and when you build
privacy implications and when you build
privacy implications and when you build these awesome technologies when you
these awesome technologies when you
these awesome technologies when you change these business models well you
change these business models well you
change these business models well you have a conscience to protect what is
have a conscience to protect what is
have a conscience to protect what is humanity thank you very much
humanity thank you very much
humanity thank you very much [Applause]
”
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