
quality of life technology these pennies are help they’re here to help illustrate
are help they’re here to help illustrate
are help they’re here to help illustrate how a piece of technology in your pocket
how a piece of technology in your pocket
how a piece of technology in your pocket today is gonna improve your quality of
today is gonna improve your quality of
today is gonna improve your quality of life I see a show of hands of how many
life I see a show of hands of how many
life I see a show of hands of how many people have a cell phone with them today
people have a cell phone with them today
people have a cell phone with them today that’s what I thought big changes and
that’s what I thought big changes and
that’s what I thought big changes and little changes are coming and these
little changes are coming and these
little changes are coming and these pennies and your cell phone are about to
pennies and your cell phone are about to
pennies and your cell phone are about to surprise and delight you in ways you
surprise and delight you in ways you
surprise and delight you in ways you can’t begin to imagine with as much
can’t begin to imagine with as much
can’t begin to imagine with as much privacy as you want they’re going to
privacy as you want they’re going to
privacy as you want they’re going to improve your quality of life and help
improve your quality of life and help
improve your quality of life and help you have better experiences let’s start
you have better experiences let’s start
you have better experiences let’s start there when you hear the term quality of
there when you hear the term quality of
there when you hear the term quality of life you may picture a sandy beach I
life you may picture a sandy beach I
life you may picture a sandy beach I decided to look up a conventional
decided to look up a conventional
decided to look up a conventional definition and Wikipedia tells us there
definition and Wikipedia tells us there
definition and Wikipedia tells us there are six standard indicators or patterns
are six standard indicators or patterns
are six standard indicators or patterns that are used to define and measure
that are used to define and measure
that are used to define and measure quality of life wealth and employment
quality of life wealth and employment
quality of life wealth and employment the built environment physical and
the built environment physical and
the built environment physical and mental health education recreation and
mental health education recreation and
mental health education recreation and leisure and social belonging to words
leisure and social belonging to words
leisure and social belonging to words are not on that list technology and
are not on that list technology and
are not on that list technology and experience experience is an
experience experience is an
experience experience is an in-the-moment thing whereas quality of
in-the-moment thing whereas quality of
in-the-moment thing whereas quality of life seems to be more measured across a
life seems to be more measured across a
life seems to be more measured across a period of time and then aggregate of
period of time and then aggregate of
period of time and then aggregate of those six things so you might think of
those six things so you might think of
those six things so you might think of quality of life as the climate you’re
quality of life as the climate you’re
quality of life as the climate you’re living in at any given point in time and
living in at any given point in time and
living in at any given point in time and the experiences you’re having or more
the experiences you’re having or more
the experiences you’re having or more like the weather in that climate at that
like the weather in that climate at that
like the weather in that climate at that time it may be obvious to you that
time it may be obvious to you that
time it may be obvious to you that technology would not be on this list
technology would not be on this list
technology would not be on this list today we often think of technology is
today we often think of technology is
today we often think of technology is more like an addiction that’s more in
more like an addiction that’s more in
more like an addiction that’s more in control of us than we are of it we think
control of us than we are of it we think
control of us than we are of it we think of it as helping us have have become
of it as helping us have have become
of it as helping us have have become more efficient get that most recent
more efficient get that most recent
more efficient get that most recent email sports score use it for a driving
email sports score use it for a driving
email sports score use it for a driving application but when you think about
application but when you think about
application but when you think about optimizing and already too busy life it
optimizing and already too busy life it
optimizing and already too busy life it becomes more like becoming the best at
becomes more like becoming the best at
becomes more like becoming the best at too busy rather than actually improving
too busy rather than actually improving
too busy rather than actually improving our quality of life so when it takes us
our quality of life so when it takes us
our quality of life so when it takes us one minute to do something that used to
one minute to do something that used to
one minute to do something that used to take us 10 and we get back those 9
take us 10 and we get back those 9
take us 10 and we get back those 9 minutes do we use those nine minutes for
minutes do we use those nine minutes for
minutes do we use those nine minutes for recreation leisure time not usually
recreation leisure time not usually
recreation leisure time not usually but technology is already starting to
but technology is already starting to
but technology is already starting to offer improvements to our quality of
offer improvements to our quality of
offer improvements to our quality of life through one fundamental change in
life through one fundamental change in
life through one fundamental change in the way we interact with it what it can
the way we interact with it what it can
the way we interact with it what it can capture how much it can capture and the
capture how much it can capture and the
capture how much it can capture and the patterns that will emerge some of those
patterns that will emerge some of those
patterns that will emerge some of those patterns you’ll choose to act on some of
patterns you’ll choose to act on some of
patterns you’ll choose to act on some of them you’ll ignore some of the patterns
them you’ll ignore some of the patterns
them you’ll ignore some of the patterns will reveal that you have a relationship
will reveal that you have a relationship
will reveal that you have a relationship with people that you don’t know that you
with people that you don’t know that you
with people that you don’t know that you have relationships with today that will
have relationships with today that will
have relationships with today that will be really exciting and that’ll take
be really exciting and that’ll take
be really exciting and that’ll take things in the opposite direction of some
things in the opposite direction of some
things in the opposite direction of some of those not so social phases that we
of those not so social phases that we
of those not so social phases that we see in coffee shops and airports looking
see in coffee shops and airports looking
see in coffee shops and airports looking down at their technology today this is a
down at their technology today this is a
down at their technology today this is a Wordle of this TED talk
Wordle of this TED talk
Wordle of this TED talk the bigger the word the more frequently
the bigger the word the more frequently
the bigger the word the more frequently I’m saying it see how big patterns and
I’m saying it see how big patterns and
I’m saying it see how big patterns and privacy are patterns have been around
privacy are patterns have been around
privacy are patterns have been around forever reycarts while wrote a book
forever reycarts while wrote a book
forever reycarts while wrote a book called how to create a mind and in it he
called how to create a mind and in it he
called how to create a mind and in it he describes that the human brain has over
describes that the human brain has over
describes that the human brain has over 300 million pattern recognition circuits
300 million pattern recognition circuits
300 million pattern recognition circuits 300 million is a lot but all of those
300 million is a lot but all of those
300 million is a lot but all of those pattern recognition circuits missed a
pattern recognition circuits missed a
pattern recognition circuits missed a pattern in baseball for over a hundred
pattern in baseball for over a hundred
pattern in baseball for over a hundred years Moneyball is a book and a movie
years Moneyball is a book and a movie
years Moneyball is a book and a movie that describes how baseball for a
that describes how baseball for a
that describes how baseball for a hundred years used batting average as
hundred years used batting average as
hundred years used batting average as the statistic that they use to pick and
the statistic that they use to pick and
the statistic that they use to pick and pay players in 1977 a guy named Bill
pay players in 1977 a guy named Bill
pay players in 1977 a guy named Bill James uncovered a pattern he realized
James uncovered a pattern he realized
James uncovered a pattern he realized his statistic called on-base percentage
his statistic called on-base percentage
his statistic called on-base percentage which combines batting average and walks
which combines batting average and walks
which combines batting average and walks is a more consistent indicator of
is a more consistent indicator of
is a more consistent indicator of whether a player will help a team win a
whether a player will help a team win a
whether a player will help a team win a baseball game even more amazing it took
baseball game even more amazing it took
baseball game even more amazing it took 25 years before anybody would do
25 years before anybody would do
25 years before anybody would do anything about it
anything about it
anything about it in 2002 Billy being the manager of
in 2002 Billy being the manager of
in 2002 Billy being the manager of Oakland’s baseball team a team that at
Oakland’s baseball team a team that at
Oakland’s baseball team a team that at the time was famous for losing baseball
the time was famous for losing baseball
the time was famous for losing baseball games had his back against the wall had
games had his back against the wall had
games had his back against the wall had a tiny budget compared with the mighty
a tiny budget compared with the mighty
a tiny budget compared with the mighty New York Yankees decided to apply this
New York Yankees decided to apply this
New York Yankees decided to apply this pattern using technology and the way he
pattern using technology and the way he
pattern using technology and the way he picked his baseball players people
picked his baseball players people
picked his baseball players people thought he was bat crazy but it worked
thought he was bat crazy but it worked
thought he was bat crazy but it worked they won they won a lot and that really
they won they won a lot and that really
they won they won a lot and that really changed Billy Beane’s quality of life
changed Billy Beane’s quality of life
changed Billy Beane’s quality of life but it caused a lot of people to look in
but it caused a lot of people to look in
but it caused a lot of people to look in the mirror and wonder if they were
the mirror and wonder if they were
the mirror and wonder if they were missing a pattern if they were using the
missing a pattern if they were using the
missing a pattern if they were using the right statistic to make the decisions
right statistic to make the decisions
right statistic to make the decisions that were important in their lives
I’d like to talk in threes
I’d like to talk in threes I just talked about quality of life
I just talked about quality of life
I just talked about quality of life technology and experiences now I’m gonna
technology and experiences now I’m gonna
technology and experiences now I’m gonna talk about what was known what is known
talk about what was known what is known
talk about what was known what is known and what you will know about yourself in
and what you will know about yourself in
and what you will know about yourself in the future a lot of information can be
the future a lot of information can be
the future a lot of information can be collected about us in a lot of different
collected about us in a lot of different
collected about us in a lot of different ways of categorizing it and I like my
ways of categorizing it and I like my
ways of categorizing it and I like my friend Joe Whiteman’s way of
friend Joe Whiteman’s way of
friend Joe Whiteman’s way of categorizing information he calls the
categorizing information he calls the
categorizing information he calls the abcdes I’ve added F and G a is for
abcdes I’ve added F and G a is for
abcdes I’ve added F and G a is for attitude are we happy or grumpy B is for
attitude are we happy or grumpy B is for
attitude are we happy or grumpy B is for our behaviors what are we doing
our behaviors what are we doing
our behaviors what are we doing C is for context where are we doing it d
C is for context where are we doing it d
C is for context where are we doing it d for demographics age gender zip code
for demographics age gender zip code
for demographics age gender zip code kinds of information efore environment
kinds of information efore environment
kinds of information efore environment is it sunny or rainy fi added four facts
is it sunny or rainy fi added four facts
is it sunny or rainy fi added four facts biometric information like pulse and
biometric information like pulse and
biometric information like pulse and heart rate and G for goal why do we
heart rate and G for goal why do we
heart rate and G for goal why do we choose to enter an experience is it the
choose to enter an experience is it the
choose to enter an experience is it the best price is it speed of service is it
best price is it speed of service is it
best price is it speed of service is it some product selection or something else
it wasn’t that long ago that not that
it wasn’t that long ago that not that much was known about us many of us
much was known about us many of us
much was known about us many of us remember the Sunday newspapers we get
remember the Sunday newspapers we get
remember the Sunday newspapers we get and we throat on the kitchen table and
and we throat on the kitchen table and
and we throat on the kitchen table and out would spill all the advertising
out would spill all the advertising
out would spill all the advertising inserts a clear indication that the
inserts a clear indication that the
inserts a clear indication that the marketers who paid for those ads didn’t
marketers who paid for those ads didn’t
marketers who paid for those ads didn’t know anything particularly special about
know anything particularly special about
know anything particularly special about us because everybody in the same city
us because everybody in the same city
us because everybody in the same city gets the same advertising in asserts
gets the same advertising in asserts
gets the same advertising in asserts that’s partly because back in those days
that’s partly because back in those days
that’s partly because back in those days it was hard to know much about us
it was hard to know much about us
it was hard to know much about us there wasn’t any internet data to
there wasn’t any internet data to
there wasn’t any internet data to collect there wasn’t much in the way of
collect there wasn’t much in the way of
collect there wasn’t much in the way of credit card information to collect and
credit card information to collect and
credit card information to collect and categorize us but today it’s different
categorize us but today it’s different
categorize us but today it’s different today we might be out on a website
today we might be out on a website
today we might be out on a website looking at a pair of shoes that we’re
looking at a pair of shoes that we’re
looking at a pair of shoes that we’re thinking about buying and then hop over
thinking about buying and then hop over
thinking about buying and then hop over to a new site and up pops an ad for that
to a new site and up pops an ad for that
to a new site and up pops an ad for that exact same pair of shoes it’s a little
exact same pair of shoes it’s a little
exact same pair of shoes it’s a little creepy the first time it happens until
creepy the first time it happens until
creepy the first time it happens until you realize it doesn’t really mean
you realize it doesn’t really mean
you realize it doesn’t really mean they’ve learned anything specific about
they’ve learned anything specific about
they’ve learned anything specific about us per se other than we might be
us per se other than we might be
us per se other than we might be interested in buying that pair of shoes
but how would you like to be the dad who
but how would you like to be the dad who was the last one to find out his teenage
was the last one to find out his teenage
was the last one to find out his teenage daughter was pregnant even target knew
see his daughter is a teenager was a
see his daughter is a teenager was a member of their loyalty program and one
member of their loyalty program and one
member of their loyalty program and one day she went into target and she bought
day she went into target and she bought
day she went into target and she bought four things hand sanitizer
four things hand sanitizer
four things hand sanitizer dietary supplements fragrance free
dietary supplements fragrance free
dietary supplements fragrance free lotion and a large volume of cotton
lotion and a large volume of cotton
lotion and a large volume of cotton balls those four things were enough for
balls those four things were enough for
balls those four things were enough for target to pinpoint the pattern and be
target to pinpoint the pattern and be
target to pinpoint the pattern and be confident that she was pregnant not just
confident that she was pregnant not just
confident that she was pregnant not just that because of the large volume of
that because of the large volume of
that because of the large volume of cotton balls they were able to pinpoint
cotton balls they were able to pinpoint
cotton balls they were able to pinpoint her due date and that informed the
her due date and that informed the
her due date and that informed the timing of when they would send her
timing of when they would send her
timing of when they would send her advertisements sometimes we’re looking
advertisements sometimes we’re looking
advertisements sometimes we’re looking for one pattern a much more surprising
for one pattern a much more surprising
for one pattern a much more surprising and unexpected pattern emerges that
and unexpected pattern emerges that
and unexpected pattern emerges that takes us to viagra viagra is a drug that
takes us to viagra viagra is a drug that
takes us to viagra viagra is a drug that was designed for hypertension and you
was designed for hypertension and you
was designed for hypertension and you may be aware that ads today for Viagra
may be aware that ads today for Viagra
may be aware that ads today for Viagra don’t mention hypertension that’s
don’t mention hypertension that’s
don’t mention hypertension that’s because in clinical trials when a drug
because in clinical trials when a drug
because in clinical trials when a drug is being tested they’re looking for two
is being tested they’re looking for two
is being tested they’re looking for two things does the drug do what it was
things does the drug do what it was
things does the drug do what it was designed to do and if it emerges with
designed to do and if it emerges with
designed to do and if it emerges with some side effects that are bad that will
some side effects that are bad that will
some side effects that are bad that will derail the drug trial if they find a
derail the drug trial if they find a
derail the drug trial if they find a side effect that’s surprising and
side effect that’s surprising and
side effect that’s surprising and unexpected that is even better than what
unexpected that is even better than what
unexpected that is even better than what the drug was originally designed to do
the drug was originally designed to do
the drug was originally designed to do they sometimes will repurpose the drug
they sometimes will repurpose the drug
they sometimes will repurpose the drug and that’s what happened with Viagra in
and that’s what happened with Viagra in
and that’s what happened with Viagra in the drug trial that they used for with
the drug trial that they used for with
the drug trial that they used for with 3,000 people which is a typical size of
3,000 people which is a typical size of
3,000 people which is a typical size of a drug trial target had the four pieces
a drug trial target had the four pieces
a drug trial target had the four pieces of information drug trials have 3,000
of information drug trials have 3,000
of information drug trials have 3,000 pieces of information Rogaine is another
pieces of information Rogaine is another
pieces of information Rogaine is another example of a drug trial that went the
example of a drug trial that went the
example of a drug trial that went the same way as Viagra where Rogaine was was
same way as Viagra where Rogaine was was
same way as Viagra where Rogaine was was intended to be for blood pressure today
intended to be for blood pressure today
intended to be for blood pressure today Rogaine as you may know is marketed
Rogaine as you may know is marketed
Rogaine as you may know is marketed solely come to combat baldness when you
solely come to combat baldness when you
solely come to combat baldness when you go from four pieces of information to
go from four pieces of information to
go from four pieces of information to 3,000 that’s a big jump just as going
3,000 that’s a big jump just as going
3,000 that’s a big jump just as going from transaction information to
from transaction information to
from transaction information to experience information is also a big
experience information is also a big
experience information is also a big jump imagine what you could do if you
jump imagine what you could do if you
jump imagine what you could do if you had thirty thousand pieces of
had thirty thousand pieces of
had thirty thousand pieces of information about one customer that’s
information about one customer that’s
information about one customer that’s what Disney does every day
I’m not talking about Disneyland the
I’m not talking about Disneyland the 300-acre spot in California I’m talking
300-acre spot in California I’m talking
300-acre spot in California I’m talking about Disneyworld over 30,000 acres near
about Disneyworld over 30,000 acres near
about Disneyworld over 30,000 acres near Orlando they had a customer satisfaction
Orlando they had a customer satisfaction
Orlando they had a customer satisfaction problem people in the Orlando Heat in
problem people in the Orlando Heat in
problem people in the Orlando Heat in long lines unable to make reservations
long lines unable to make reservations
long lines unable to make reservations for restaurants or attractions and
for restaurants or attractions and
for restaurants or attractions and people were having having bad
people were having having bad
people were having having bad experiences and Disney didn’t know who
experiences and Disney didn’t know who
experiences and Disney didn’t know who was having a bad experiences a little
was having a bad experiences a little
was having a bad experiences a little bit like the Sunday newspaper example I
bit like the Sunday newspaper example I
bit like the Sunday newspaper example I mentioned they had no idea who was
mentioned they had no idea who was
mentioned they had no idea who was having the good experience and who was
having the good experience and who was
having the good experience and who was having a bad experience but they solved
having a bad experience but they solved
having a bad experience but they solved the problem they created an online
the problem they created an online
the problem they created an online portal that allowed people to pre-plan
portal that allowed people to pre-plan
portal that allowed people to pre-plan their experiences including restaurants
their experiences including restaurants
their experiences including restaurants and attractions usually four days or
and attractions usually four days or
and attractions usually four days or more and then they system something
more and then they system something
more and then they system something called a bracelet called a Magic Band
called a bracelet called a Magic Band
called a bracelet called a Magic Band the Magic Band is worn by customers as
the Magic Band is worn by customers as
the Magic Band is worn by customers as they go through Disney World to enter
they go through Disney World to enter
they go through Disney World to enter the park and and redeem their restaurant
the park and and redeem their restaurant
the park and and redeem their restaurant reservations and attraction reservations
reservations and attraction reservations
reservations and attraction reservations the band also emits a signal about once
the band also emits a signal about once
the band also emits a signal about once a second so Disney can see whether
a second so Disney can see whether
a second so Disney can see whether you’re ahead or behind in your planned
you’re ahead or behind in your planned
you’re ahead or behind in your planned experiences they can see if you’re
experiences they can see if you’re
experiences they can see if you’re having a bad experiences in in the
having a bad experiences in in the
having a bad experiences in in the moment help you recover from that bad
moment help you recover from that bad
moment help you recover from that bad experiment experience immediately it’s
experiment experience immediately it’s
experiment experience immediately it’s magical because it’s Disney of course
magical because it’s Disney of course
magical because it’s Disney of course they’ve done all the things to avoid
they’ve done all the things to avoid
they’ve done all the things to avoid being creepy about tracking people and
being creepy about tracking people and
being creepy about tracking people and help ensure the privacy of their
help ensure the privacy of their
help ensure the privacy of their information because they said that the
information because they said that the
information because they said that the band emits a signal about once a second
band emits a signal about once a second
band emits a signal about once a second over the course of an eight-hour day
over the course of an eight-hour day
over the course of an eight-hour day that’s 30,000 signals a day 30,000
that’s 30,000 signals a day 30,000
that’s 30,000 signals a day 30,000 pieces of information they collect about
pieces of information they collect about
pieces of information they collect about location of their customer every day
location of their customer every day
location of their customer every day that’s a huge amount of information now
that’s a huge amount of information now
that’s a huge amount of information now that might not sound like it has
that might not sound like it has
that might not sound like it has anything to do with you or your day to
anything to do with you or your day to
anything to do with you or your day to day experiences because most of us don’t
day experiences because most of us don’t
day experiences because most of us don’t go to Disney World every day thankfully
go to Disney World every day thankfully
go to Disney World every day thankfully but a lot of us use something every day
but a lot of us use something every day
but a lot of us use something every day that tracks us in the same way our
that tracks us in the same way our
that tracks us in the same way our driving applications we enter our
driving applications we enter our
driving applications we enter our destination that’s our plan and it tells
destination that’s our plan and it tells
destination that’s our plan and it tells us turn-by-turn directions for where
us turn-by-turn directions for where
us turn-by-turn directions for where when we’re going to get there whether
when we’re going to get there whether
when we’re going to get there whether they’re hidden police cars accidents and
they’re hidden police cars accidents and
they’re hidden police cars accidents and it reroutes us I Drive every day I use
it reroutes us I Drive every day I use
it reroutes us I Drive every day I use my driving application every day not
my driving application every day not
my driving application every day not because I need turn-by-turn directions
because I need turn-by-turn directions
because I need turn-by-turn directions anymore because they know where I’m
anymore because they know where I’m
anymore because they know where I’m going I need to know what time I’m going
going I need to know what time I’m going
going I need to know what time I’m going to get there or if I’m going to be late
to get there or if I’m going to be late
to get there or if I’m going to be late but every day it gives me the exact same
but every day it gives me the exact same
but every day it gives me the exact same directions I start to feel like Bill
directions I start to feel like Bill
directions I start to feel like Bill Marie in the movie Groundhog Day after a
Marie in the movie Groundhog Day after a
Marie in the movie Groundhog Day after a while where every day is the exact same
while where every day is the exact same
while where every day is the exact same day over and over again I’m surprised it
day over and over again I’m surprised it
day over and over again I’m surprised it doesn’t learn my patterns but I know how
doesn’t learn my patterns but I know how
doesn’t learn my patterns but I know how to get from my house to the highway but
to get from my house to the highway but
to get from my house to the highway but every day it tells me the same eight
every day it tells me the same eight
every day it tells me the same eight turns that I have to take to get from my
turns that I have to take to get from my
turns that I have to take to get from my house to the highway but I know that
house to the highway but I know that
house to the highway but I know that soon it will learn and it will know my
soon it will learn and it will know my
soon it will learn and it will know my patterns and behaviors and that will
patterns and behaviors and that will
patterns and behaviors and that will make it a lot more exciting and
make it a lot more exciting and
make it a lot more exciting and interesting for me a lot of people also
interesting for me a lot of people also
interesting for me a lot of people also use fitness trackers these days that
use fitness trackers these days that
use fitness trackers these days that people tell me that they have to get
people tell me that they have to get
people tell me that they have to get their 10,000 steps I have a lot of
their 10,000 steps I have a lot of
their 10,000 steps I have a lot of friends that say that those fitness
friends that say that those fitness
friends that say that those fitness trackers have changed their behaviors
trackers have changed their behaviors
trackers have changed their behaviors that they’ll do everything they can to
that they’ll do everything they can to
that they’ll do everything they can to get their 10,000 steps and that some of
get their 10,000 steps and that some of
get their 10,000 steps and that some of them have even lost weight but it’s the
them have even lost weight but it’s the
them have even lost weight but it’s the same sort of Groundhog story where it’s
same sort of Groundhog story where it’s
same sort of Groundhog story where it’s not learning their patterns they’re not
not learning their patterns they’re not
not learning their patterns they’re not really learning anything new about
really learning anything new about
really learning anything new about themselves that’s actionable or
themselves that’s actionable or
themselves that’s actionable or interesting so that’s what was known
interesting so that’s what was known
interesting so that’s what was known about us what’s known about us today I’m
about us what’s known about us today I’m
about us what’s known about us today I’m gonna talk a little bit more about
gonna talk a little bit more about
gonna talk a little bit more about privacy now and then I’m going to talk
privacy now and then I’m going to talk
privacy now and then I’m going to talk about what’s coming so privacy is a huge
about what’s coming so privacy is a huge
about what’s coming so privacy is a huge issue always has been always will be the
issue always has been always will be the
issue always has been always will be the good news is that we’ve already got some
good news is that we’ve already got some
good news is that we’ve already got some standards to protect our privacy those
standards to protect our privacy those
standards to protect our privacy those standards come about in the form of
standards come about in the form of
standards come about in the form of things like that driving application
things like that driving application
things like that driving application where we willingly accept to give up our
where we willingly accept to give up our
where we willingly accept to give up our location information in an exchange we
location information in an exchange we
location information in an exchange we expect to get something back that’s the
expect to get something back that’s the
expect to get something back that’s the deal that’s struck all of these
deal that’s struck all of these
deal that’s struck all of these applications that are asking us to give
applications that are asking us to give
applications that are asking us to give up some information about ourselves
up some information about ourselves
up some information about ourselves whether it’s location or context or
whether it’s location or context or
whether it’s location or context or demographics or whatever it is we expect
demographics or whatever it is we expect
demographics or whatever it is we expect something in return that’s the big win
something in return that’s the big win
something in return that’s the big win for us that the standards already been
for us that the standards already been
for us that the standards already been established that’s for us to accept
established that’s for us to accept
established that’s for us to accept giving something up we expect something
giving something up we expect something
giving something up we expect something in return so anything that comes after
in return so anything that comes after
in return so anything that comes after that we’ll have to adhere to that
that we’ll have to adhere to that
that we’ll have to adhere to that standard so as this information is being
standard so as this information is being
standard so as this information is being collected in large volumes big companies
collected in large volumes big companies
collected in large volumes big companies of course are taking notice a lot of
of course are taking notice a lot of
of course are taking notice a lot of companies now are hiring data scientists
companies now are hiring data scientists
companies now are hiring data scientists which is a fancy name for statisticians
which is a fancy name for statisticians
which is a fancy name for statisticians they’re also hiring a lot of economists
they’re also hiring a lot of economists
they’re also hiring a lot of economists the New York Times reported that as of
the New York Times reported that as of
the New York Times reported that as of September 2016 amazon.com had 34 job
September 2016 amazon.com had 34 job
September 2016 amazon.com had 34 job openings for economists 34 openings just
openings for economists 34 openings just
openings for economists 34 openings just for economists at amazon.com
so I mentioned Disney has the 30,000
so I mentioned Disney has the 30,000 pieces of information a bucket load of
pieces of information a bucket load of
pieces of information a bucket load of information literally I also mentioned
information literally I also mentioned
information literally I also mentioned the biometric information that we might
the biometric information that we might
the biometric information that we might be able to collect your heart beats
be able to collect your heart beats
be able to collect your heart beats sixty to a hundred times a minute over
sixty to a hundred times a minute over
sixty to a hundred times a minute over the course of a day that can
the course of a day that can
the course of a day that can over a hundred thousand heartbeats a day
over a hundred thousand heartbeats a day
over a hundred thousand heartbeats a day so then if you add other things like
so then if you add other things like
so then if you add other things like environment and demographic and context
environment and demographic and context
environment and demographic and context data it can very quickly become a
data it can very quickly become a
data it can very quickly become a hundred and fifty thousand pieces of
hundred and fifty thousand pieces of
hundred and fifty thousand pieces of information about you every day that’s
information about you every day that’s
information about you every day that’s five of these buckets full of pennies
five of these buckets full of pennies
five of these buckets full of pennies every day the good news is you control
every day the good news is you control
every day the good news is you control it you’re in charge you decide how and
it you’re in charge you decide how and
it you’re in charge you decide how and when to use it the patterns are going to
when to use it the patterns are going to
when to use it the patterns are going to emerge some of the patterns you can’t
emerge some of the patterns you can’t
emerge some of the patterns you can’t see
see
see speaking of patterns you can’t see DNA
speaking of patterns you can’t see DNA
speaking of patterns you can’t see DNA revealed that roses are related to
revealed that roses are related to
revealed that roses are related to stinging nettles those are the kinds of
stinging nettles those are the kinds of
stinging nettles those are the kinds of patterns that are gonna start to emerge
patterns that are gonna start to emerge
patterns that are gonna start to emerge where you’re gonna see not only a
where you’re gonna see not only a
where you’re gonna see not only a pattern about yourself you’re gonna it’s
pattern about yourself you’re gonna it’s
pattern about yourself you’re gonna it’s gonna reveal that you have a
gonna reveal that you have a
gonna reveal that you have a relationship to somebody else that you
relationship to somebody else that you
relationship to somebody else that you never knew existed the next pattern I
never knew existed the next pattern I
never knew existed the next pattern I want to talk about involves Microsoft a
want to talk about involves Microsoft a
want to talk about involves Microsoft a little bit behind here Microsoft makes
little bit behind here Microsoft makes
little bit behind here Microsoft makes operating software system and operating
operating software system and operating
operating software system and operating system software sometimes that software
system software sometimes that software
system software sometimes that software crashes when it crashes it goes into
crashes when it crashes it goes into
crashes when it crashes it goes into error mode and and one day Microsoft
error mode and and one day Microsoft
error mode and and one day Microsoft collected the error logs of all the
collected the error logs of all the
collected the error logs of all the computers on campus and they noticed
computers on campus and they noticed
computers on campus and they noticed that the error logs had an error at the
that the error logs had an error at the
that the error logs had an error at the exact same time every day which didn’t
exact same time every day which didn’t
exact same time every day which didn’t make any sense to them because people
make any sense to them because people
make any sense to them because people are working on different things somebody
are working on different things somebody
are working on different things somebody decided to go into the the world of
decided to go into the the world of
decided to go into the the world of environment information notice that
environment information notice that
environment information notice that solar flares are something that affect
solar flares are something that affect
solar flares are something that affect the earth it hits the Earth’s surface
the earth it hits the Earth’s surface
the earth it hits the Earth’s surface that humans don’t detect solar flares
that humans don’t detect solar flares
that humans don’t detect solar flares but the silicon chip on a computer can
but the silicon chip on a computer can
but the silicon chip on a computer can feel and it’s enough to cause the
feel and it’s enough to cause the
feel and it’s enough to cause the computer to go into error mode they
computer to go into error mode they
computer to go into error mode they would never have figured out the cause
would never have figured out the cause
would never have figured out the cause of the pattern if they hadn’t gone to
of the pattern if they hadn’t gone to
of the pattern if they hadn’t gone to environment information now that
environment information now that
environment information now that particular pattern wasn’t actionable to
particular pattern wasn’t actionable to
particular pattern wasn’t actionable to by Microsoft it wasn’t particularly
by Microsoft it wasn’t particularly
by Microsoft it wasn’t particularly helpful but those are the kinds of
helpful but those are the kinds of
helpful but those are the kinds of patterns are gonna emerge that we can
patterns are gonna emerge that we can
patterns are gonna emerge that we can see and decide if we’re gonna do
see and decide if we’re gonna do
see and decide if we’re gonna do something about or ignore that’s what’s
something about or ignore that’s what’s
something about or ignore that’s what’s gonna be so exciting about all of this
gonna be so exciting about all of this
gonna be so exciting about all of this information that we’re gonna be
information that we’re gonna be
information that we’re gonna be collecting about ourselves all right so
collecting about ourselves all right so
collecting about ourselves all right so I talked about Disney I’ve talked about
I talked about Disney I’ve talked about
I talked about Disney I’ve talked about Microsoft I’ve talked about roses and
Microsoft I’ve talked about roses and
Microsoft I’ve talked about roses and nettles and the hundred and fifty
nettles and the hundred and fifty
nettles and the hundred and fifty thousand pieces of information that
thousand pieces of information that
thousand pieces of information that we’re gonna be collecting about
we’re gonna be collecting about
we’re gonna be collecting about ourselves so what how’s that gonna
ourselves so what how’s that gonna
ourselves so what how’s that gonna affect us what’s gonna change what’s
affect us what’s gonna change what’s
affect us what’s gonna change what’s gonna blow our minds well the first
gonna blow our minds well the first
gonna blow our minds well the first thing that’s going to happen is things
thing that’s going to happen is things
thing that’s going to happen is things like driving applications are going to
like driving applications are going to
like driving applications are going to be smarter about making recommendations
be smarter about making recommendations
be smarter about making recommendations about our patterns the obvious one is
about our patterns the obvious one is
about our patterns the obvious one is it’ll notice that if we left work 15
it’ll notice that if we left work 15
it’ll notice that if we left work 15 minutes earlier every day last week it
minutes earlier every day last week it
minutes earlier every day last week it would have shaved 40% off of our drive
would have shaved 40% off of our drive
would have shaved 40% off of our drive time or something like that
time or something like that
time or something like that then it will start to collect biometric
then it will start to collect biometric
then it will start to collect biometric information and notice that maybe our
information and notice that maybe our
information and notice that maybe our heart rates elevated and we’re stressed
heart rates elevated and we’re stressed
heart rates elevated and we’re stressed out and it will suggest a lower stress
out and it will suggest a lower stress
out and it will suggest a lower stress route as an option it might notice that
route as an option it might notice that
route as an option it might notice that it’s gonna rain or snow tomorrow and
it’s gonna rain or snow tomorrow and
it’s gonna rain or snow tomorrow and suggest that you work from home that’ll
suggest that you work from home that’ll
suggest that you work from home that’ll all be really helpful
all be really helpful
all be really helpful the really Wow stuff starts to come when
the really Wow stuff starts to come when
the really Wow stuff starts to come when you look at these hundred and fifty
you look at these hundred and fifty
you look at these hundred and fifty thousand pieces of information every day
thousand pieces of information every day
thousand pieces of information every day and start to discover the nettles for
and start to discover the nettles for
and start to discover the nettles for your rose you start just figure out
your rose you start just figure out
your rose you start just figure out something that’s equivalent to the solar
something that’s equivalent to the solar
something that’s equivalent to the solar flare some environmental thing that’s a
flare some environmental thing that’s a
flare some environmental thing that’s a pattern for you and you’ll find out not
pattern for you and you’ll find out not
pattern for you and you’ll find out not only that you have that pattern you’ll
only that you have that pattern you’ll
only that you have that pattern you’ll be able to find out if somebody else
be able to find out if somebody else
be able to find out if somebody else shares that pattern you’ll share the
shares that pattern you’ll share the
shares that pattern you’ll share the information anonymously probably at
information anonymously probably at
information anonymously probably at first because you can but once you start
first because you can but once you start
first because you can but once you start to see those patterns you’ll be able to
to see those patterns you’ll be able to
to see those patterns you’ll be able to find out not only that the person has
find out not only that the person has
find out not only that the person has the pattern but maybe that person is
the pattern but maybe that person is
the pattern but maybe that person is ahead of you in the pattern and you’ll
ahead of you in the pattern and you’ll
ahead of you in the pattern and you’ll be able to see what’s coming good or bad
be able to see what’s coming good or bad
be able to see what’s coming good or bad what’s gonna happen to you next because
what’s gonna happen to you next because
what’s gonna happen to you next because they’re ahead of you in what’s gonna
they’re ahead of you in what’s gonna
they’re ahead of you in what’s gonna happen with that pattern it comes back
happen with that pattern it comes back
happen with that pattern it comes back to Moneyball a little bit where they
to Moneyball a little bit where they
to Moneyball a little bit where they spotted a pattern in what it takes to
spotted a pattern in what it takes to
spotted a pattern in what it takes to win baseball games that eluded them for
win baseball games that eluded them for
win baseball games that eluded them for a hundred years but it took him 25 years
a hundred years but it took him 25 years
a hundred years but it took him 25 years to do anything about it
to do anything about it
to do anything about it the good news about all this is we
the good news about all this is we
the good news about all this is we collect all of this information about
collect all of this information about
collect all of this information about you the 150,000 pennies you’re gonna be
you the 150,000 pennies you’re gonna be
you the 150,000 pennies you’re gonna be able to see the patterns about your
able to see the patterns about your
able to see the patterns about your pennies and you won’t have to wait 25
pennies and you won’t have to wait 25
pennies and you won’t have to wait 25 years to do anything about it thank you
years to do anything about it thank you
years to do anything about it thank you very much
very much
very much [Applause]
”
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