
[Music] [Applause]
the terms Big Data and its predictive
the terms Big Data and its predictive analytics you must have heard of the
analytics you must have heard of the
analytics you must have heard of the term it’s must be talked about discussed
term it’s must be talked about discussed
term it’s must be talked about discussed about by so many people not to scholar
about by so many people not to scholar
about by so many people not to scholar but so many people around the world in
but so many people around the world in
but so many people around the world in so many countries and I’m sure that all
so many countries and I’m sure that all
so many countries and I’m sure that all of you everywhere you look you would
of you everywhere you look you would
of you everywhere you look you would have seen this already in health care
have seen this already in health care
have seen this already in health care big data is probably one of the hottest
big data is probably one of the hottest
big data is probably one of the hottest topic at least in Thailand that I know
topic at least in Thailand that I know
topic at least in Thailand that I know of we can call that a hype big data hype
of we can call that a hype big data hype
of we can call that a hype big data hype a lot of government agency and company
a lot of government agency and company
a lot of government agency and company related to health care has been trying
related to health care has been trying
related to health care has been trying to invest more money into collecting
to invest more money into collecting
to invest more money into collecting more health-related data with the goal
more health-related data with the goal
more health-related data with the goal of improving healthcare as a whole so
of improving healthcare as a whole so
of improving healthcare as a whole so what does this hype is all about and
what does this hype is all about and
what does this hype is all about and what avi or what can we do about it that
what avi or what can we do about it that
what avi or what can we do about it that is gonna be my story today but before I
is gonna be my story today but before I
is gonna be my story today but before I get to that let me brief you on what big
get to that let me brief you on what big
get to that let me brief you on what big data analytics is using a simple example
data analytics is using a simple example
data analytics is using a simple example in e-commerce so I will be discussed the
in e-commerce so I will be discussed the
in e-commerce so I will be discussed the case of how you know amazon.com one the
case of how you know amazon.com one the
case of how you know amazon.com one the retail war years ago with big data
retail war years ago with big data
retail war years ago with big data technology this story started in 1994
technology this story started in 1994
technology this story started in 1994 when Jeffrey Bessel’s you must have
when Jeffrey Bessel’s you must have
when Jeffrey Bessel’s you must have heard of him right right he has um quit
heard of him right right he has um quit
heard of him right right he has um quit his Wall Street job and started
his Wall Street job and started
his Wall Street job and started amazon.com founded it that takes
amazon.com founded it that takes
amazon.com founded it that takes commerce to the next level what he does
commerce to the next level what he does
commerce to the next level what he does is he used big data to help with
is he used big data to help with
is he used big data to help with targeting customer so when you shop
targeting customer so when you shop
targeting customer so when you shop online today I’m sure everybody in this
online today I’m sure everybody in this
online today I’m sure everybody in this room has done that before when you shop
room has done that before when you shop
room has done that before when you shop online today more about your data has
online today more about your data has
online today more about your data has been collected than you can ever imagine
been collected than you can ever imagine
been collected than you can ever imagine like everything you click when you’re
like everything you click when you’re
like everything you click when you’re browsing to the website will be recorded
browsing to the website will be recorded
browsing to the website will be recorded if you linger on a page and looking at
if you linger on a page and looking at
if you linger on a page and looking at the product longer than usual the system
the product longer than usual the system
the product longer than usual the system will take note of that everything you
will take note of that everything you
will take note of that everything you put on a search box things review that
put on a search box things review that
put on a search box things review that you’ve read or written or things you put
you’ve read or written or things you put
you’ve read or written or things you put in your wish list and shopping carts all
in your wish list and shopping carts all
in your wish list and shopping carts all of this data has been collected by the
of this data has been collected by the
of this data has been collected by the systems and will be used later on with
systems and will be used later on with
systems and will be used later on with analytics model to target you to
analytics model to target you to
analytics model to target you to recommend a new product to you so this
recommend a new product to you so this
recommend a new product to you so this is what how the website know you at
is what how the website know you at
is what how the website know you at very personal level they don’t just look
very personal level they don’t just look
very personal level they don’t just look at your demographic data and you’re
at your demographic data and you’re
at your demographic data and you’re purchasing records they also know you
purchasing records they also know you
purchasing records they also know you your needs your desire your preference
your needs your desire your preference
your needs your desire your preference and your opinions basically you learn
and your opinions basically you learn
and your opinions basically you learn they learn of your shopping behavior
they learn of your shopping behavior
they learn of your shopping behavior altogether so let’s look at this
altogether so let’s look at this
altogether so let’s look at this this is my personal Amazon dashboard
this is my personal Amazon dashboard
this is my personal Amazon dashboard captured in last December
captured in last December
captured in last December you know how the store managed to figure
you know how the store managed to figure
you know how the store managed to figure out that I’m be looking at the
out that I’m be looking at the
out that I’m be looking at the point-and-shoot camera to give to my
point-and-shoot camera to give to my
point-and-shoot camera to give to my knees for you know new year and um the
knees for you know new year and um the
knees for you know new year and um the second roll there these are all the
second roll there these are all the
second roll there these are all the books has been recommended to me last
books has been recommended to me last
books has been recommended to me last December every single topic there is in
December every single topic there is in
December every single topic there is in my interest within my interests and I’m
my interest within my interests and I’m
my interest within my interests and I’m been looking to get those books the
been looking to get those books the
been looking to get those books the website even offered me like if I buy
website even offered me like if I buy
website even offered me like if I buy book a with book B there will give me
book a with book B there will give me
book a with book B there will give me discount
discount
discount no so how does Amazon know me that well
no so how does Amazon know me that well
no so how does Amazon know me that well how does Amazon do it basically they use
how does Amazon do it basically they use
how does Amazon do it basically they use they compare me with millions other
they compare me with millions other
they compare me with millions other people and make recommendation based on
people and make recommendation based on
people and make recommendation based on my track records against you know other
my track records against you know other
my track records against you know other people around the world who are similar
people around the world who are similar
people around the world who are similar to me or in the terms that they said
to me or in the terms that they said
to me or in the terms that they said having the same persona as me so this is
having the same persona as me so this is
having the same persona as me so this is the world of big data when you talk
the world of big data when you talk
the world of big data when you talk about big data is no longer just about
about big data is no longer just about
about big data is no longer just about table in databases it’s more than that
table in databases it’s more than that
table in databases it’s more than that things that I maybe text that I post
things that I maybe text that I post
things that I maybe text that I post images or video that I post on my social
images or video that I post on my social
images or video that I post on my social medias these are data things that I put
medias these are data things that I put
medias these are data things that I put on Google search box or blogs that I’ve
on Google search box or blogs that I’ve
on Google search box or blogs that I’ve read if I wear a fitness sensor the
read if I wear a fitness sensor the
read if I wear a fitness sensor the fitness data of myself these are
fitness data of myself these are
fitness data of myself these are information to define Who am I who is me
information to define Who am I who is me
information to define Who am I who is me right so this is the data of the big
right so this is the data of the big
right so this is the data of the big data that can be used to target customer
data that can be used to target customer
data that can be used to target customer and what they do is basically they use
and what they do is basically they use
and what they do is basically they use all all this data
all all this data
all all this data studied you compare you with other
studied you compare you with other
studied you compare you with other people so the web site like Amazon can
people so the web site like Amazon can
people so the web site like Amazon can heavily customize the browsing
heavily customize the browsing
heavily customize the browsing experience to individuals like everyone
experience to individuals like everyone
experience to individuals like everyone has a different dashboard has been
has a different dashboard has been
has a different dashboard has been recommended with different products this
recommended with different products this
recommended with different products this is the new world of data let me talk
is the new world of data let me talk
is the new world of data let me talk about one more example a little bit more
about one more example a little bit more
about one more example a little bit more related to healthcare this is an inhaler
related to healthcare this is an inhaler
related to healthcare this is an inhaler device why do they call it smart inhaler
device why do they call it smart inhaler
device why do they call it smart inhaler because this device has a GPS tracker
because this device has a GPS tracker
because this device has a GPS tracker modules on it so basically every
modules on it so basically every
modules on it so basically every location long longitude latitude can be
location long longitude latitude can be
location long longitude latitude can be recorded and put on the cloud if your
recorded and put on the cloud if your
recorded and put on the cloud if your kids has
kids has
kids has and use this device imagine this the
and use this device imagine this the
and use this device imagine this the doctor can know every single time the
doctor can know every single time the
doctor can know every single time the inhaler is used like when it is used
inhaler is used like when it is used
inhaler is used like when it is used where it is used why is that useful with
where it is used why is that useful with
where it is used why is that useful with all that information the doctor can
all that information the doctor can
all that information the doctor can understand what trigger asthma for each
understand what trigger asthma for each
understand what trigger asthma for each individual patient not general
individual patient not general
individual patient not general individual patients and also can track
individual patients and also can track
individual patients and also can track symptom over time doctor can use all of
symptom over time doctor can use all of
symptom over time doctor can use all of this to customize a treatment delivery
this to customize a treatment delivery
this to customize a treatment delivery plan for each and individual cost of
plan for each and individual cost of
plan for each and individual cost of individual patients right so that is
individual patients right so that is
individual patients right so that is more than any hospital visit or a lab
more than any hospital visit or a lab
more than any hospital visit or a lab tests can do this is towards the right
tests can do this is towards the right
tests can do this is towards the right living data can provide the right care
living data can provide the right care
living data can provide the right care so a lot of health data provider has
so a lot of health data provider has
so a lot of health data provider has been looking into using these kind of
been looking into using these kind of
been looking into using these kind of data to understand their patients better
data to understand their patients better
data to understand their patients better so the two example that I talked about
so the two example that I talked about
so the two example that I talked about are very similar the customer 360 in
are very similar the customer 360 in
are very similar the customer 360 in Amazon and a patient 360 is the same
Amazon and a patient 360 is the same
Amazon and a patient 360 is the same concept the only different is the data
concept the only different is the data
concept the only different is the data use is slightly different in patient 360
use is slightly different in patient 360
use is slightly different in patient 360 we’re probably looking into electronic
we’re probably looking into electronic
we’re probably looking into electronic health record lab tests or behavioral
health record lab tests or behavioral
health record lab tests or behavioral data like what do you eat how do you
data like what do you eat how do you
data like what do you eat how do you exercise things like that a data that we
exercise things like that a data that we
exercise things like that a data that we use now Thailand is just like many other
use now Thailand is just like many other
use now Thailand is just like many other country we have a challenge in providing
country we have a challenge in providing
country we have a challenge in providing healthcare to the whole country
healthcare to the whole country
healthcare to the whole country right and the question should be so what
right and the question should be so what
right and the question should be so what can we do about it so this past year I’m
can we do about it so this past year I’m
can we do about it so this past year I’m glad that I have an opportunity to do
glad that I have an opportunity to do
glad that I have an opportunity to do something about it
something about it
something about it rather than just reading about it from
rather than just reading about it from
rather than just reading about it from cases studied from Japan or Germany or
cases studied from Japan or Germany or
cases studied from Japan or Germany or US or UK so today I will tell you a
US or UK so today I will tell you a
US or UK so today I will tell you a story I will share you with a case a
story I will share you with a case a
story I will share you with a case a humble example of how Big Data
humble example of how Big Data
humble example of how Big Data experience Center data scientists myself
experience Center data scientists myself
experience Center data scientists myself and my associate my students has piloted
and my associate my students has piloted
and my associate my students has piloted technology in healthcare to help making
technology in healthcare to help making
technology in healthcare to help making healthcare more inclusive to people
healthcare more inclusive to people
healthcare more inclusive to people outside of Bangkok in our own country
outside of Bangkok in our own country
outside of Bangkok in our own country data scientists of big data explain
data scientists of big data explain
data scientists of big data explain Center has teamed up with the knowledge
Center has teamed up with the knowledge
Center has teamed up with the knowledge management Institute and this District
management Institute and this District
management Institute and this District Health System program and trying to
Health System program and trying to
Health System program and trying to design a programs that would allowed
design a programs that would allowed
design a programs that would allowed healthcare to reach rural area where
healthcare to reach rural area where
healthcare to reach rural area where access to hospital is somewhat limited
access to hospital is somewhat limited
access to hospital is somewhat limited so as a technologist in this project I
so as a technologist in this project I
so as a technologist in this project I take part in designing technology
take part in designing technology
take part in designing technology form my aim is not to use the latest
form my aim is not to use the latest
form my aim is not to use the latest greatest technology there is in the
greatest technology there is in the
greatest technology there is in the world but to pick a technology piece
world but to pick a technology piece
world but to pick a technology piece that is practical and can be utilized by
that is practical and can be utilized by
that is practical and can be utilized by the real-life volunteers shown in this
the real-life volunteers shown in this
the real-life volunteers shown in this picture because you and I both know that
picture because you and I both know that
picture because you and I both know that when you talk about healthcare it’s
when you talk about healthcare it’s
when you talk about healthcare it’s never going to be just about technology
never going to be just about technology
never going to be just about technology it’s about people it’s about how we how
it’s about people it’s about how we how
it’s about people it’s about how we how people can utilize that right now
people can utilize that right now
people can utilize that right now the KMI Institute Foundation has helped
the KMI Institute Foundation has helped
the KMI Institute Foundation has helped recruiting a couple of hundreds of
recruiting a couple of hundreds of
recruiting a couple of hundreds of patients in three different district in
patients in three different district in
patients in three different district in Bangkok the out sorry in Thailand these
Bangkok the out sorry in Thailand these
Bangkok the out sorry in Thailand these are patients of the past hypertension
are patients of the past hypertension
are patients of the past hypertension and diabetes to participate in the
and diabetes to participate in the
and diabetes to participate in the programs we use existing data from
programs we use existing data from
programs we use existing data from hospitals like patient records or lab
hospitals like patient records or lab
hospitals like patient records or lab tests but we want to be able to use it
tests but we want to be able to use it
tests but we want to be able to use it alongside their behavioral data so it
alongside their behavioral data so it
alongside their behavioral data so it can get a little bit more personal to
can get a little bit more personal to
can get a little bit more personal to collect behavioral data our tech team
collect behavioral data our tech team
collect behavioral data our tech team has talked to the doctor and design and
has talked to the doctor and design and
has talked to the doctor and design and implement a mobile applications it’s a
implement a mobile applications it’s a
implement a mobile applications it’s a very simple mobile application really
very simple mobile application really
very simple mobile application really how can I described it it’s more like a
how can I described it it’s more like a
how can I described it it’s more like a smart interactive questionnaire so that
smart interactive questionnaire so that
smart interactive questionnaire so that it can be a guy that the volunteer can
it can be a guy that the volunteer can
it can be a guy that the volunteer can take with their mobile phone when they
take with their mobile phone when they
take with their mobile phone when they visit the patients they can ask an
visit the patients they can ask an
visit the patients they can ask an interview patient according to this
interview patient according to this
interview patient according to this guidelines we have used this for real
guidelines we have used this for real
guidelines we have used this for real and a lot of volunteers that they liked
and a lot of volunteers that they liked
and a lot of volunteers that they liked it because it makes their work faster
it because it makes their work faster
it because it makes their work faster they can take record of information
they can take record of information
they can take record of information faster and more efficient because before
faster and more efficient because before
faster and more efficient because before they had kind of have to write it down
they had kind of have to write it down
they had kind of have to write it down on piece of paper now they can use the
on piece of paper now they can use the
on piece of paper now they can use the mobile app to track plus it they don’t
mobile app to track plus it they don’t
mobile app to track plus it they don’t have to record the details for example
have to record the details for example
have to record the details for example the patient went by I could just say
the patient went by I could just say
the patient went by I could just say something like I had fry rice from the
something like I had fry rice from the
something like I had fry rice from the chop next door for lunch and then last
chop next door for lunch and then last
chop next door for lunch and then last evening I walked to the market things
evening I walked to the market things
evening I walked to the market things like that a simple text simple
like that a simple text simple
like that a simple text simple paragraphs like that we can extract
paragraphs like that we can extract
paragraphs like that we can extract quantifiable information from it like
quantifiable information from it like
quantifiable information from it like what does nutrition for a fry rice right
what does nutrition for a fry rice right
what does nutrition for a fry rice right and how many steps is walking to the
and how many steps is walking to the
and how many steps is walking to the market means and these kind of
market means and these kind of
market means and these kind of information can be put for the doctor to
information can be put for the doctor to
information can be put for the doctor to see later on now there’s always a
see later on now there’s always a
see later on now there’s always a challenge in collecting data using
challenge in collecting data using
challenge in collecting data using interview methods or questionnaires
interview methods or questionnaires
interview methods or questionnaires because the accuracy of the data is
because the accuracy of the data is
because the accuracy of the data is always a problem I’ve heard many
always a problem I’ve heard many
always a problem I’ve heard many volunteer says is pretty hard to know
volunteer says is pretty hard to know
volunteer says is pretty hard to know because one question that’s often to ask
because one question that’s often to ask
because one question that’s often to ask is how much salt do you put in your food
is how much salt do you put in your food
is how much salt do you put in your food when you cooked at home right when they
when you cooked at home right when they
when you cooked at home right when they asked these questions almost all the
asked these questions almost all the
asked these questions almost all the time every patient to say no I don’t use
time every patient to say no I don’t use
time every patient to say no I don’t use salt I mean I don’t know if that’s true
salt I mean I don’t know if that’s true
salt I mean I don’t know if that’s true or not but one volunteer said she
or not but one volunteer said she
or not but one volunteer said she eventually stay for dinner
eventually stay for dinner
eventually stay for dinner taste the food and make the judgment for
taste the food and make the judgment for
taste the food and make the judgment for herself so each and every volunteer
herself so each and every volunteer
herself so each and every volunteer eventually have to develop tricks and
eventually have to develop tricks and
eventually have to develop tricks and tips and whatever techniques to make
tips and whatever techniques to make
tips and whatever techniques to make sure information collected is somewhat
sure information collected is somewhat
sure information collected is somewhat accurate we cannot go for a full
accurate we cannot go for a full
accurate we cannot go for a full accuracy anyway so that’s what it do now
accuracy anyway so that’s what it do now
accuracy anyway so that’s what it do now all of these data are put into the
all of these data are put into the
all of these data are put into the dashboard for the doctors who see the
dashboard for the doctors who see the
dashboard for the doctors who see the doctor can then make suggestion
doctor can then make suggestion
doctor can then make suggestion recommendation personalized to each
recommendation personalized to each
recommendation personalized to each individual patients once the doctor have
individual patients once the doctor have
individual patients once the doctor have created the recommendation there will be
created the recommendation there will be
created the recommendation there will be like a notification almost like a
like a notification almost like a
like a notification almost like a facebook notification to the mobile
facebook notification to the mobile
facebook notification to the mobile device carried by a volunteer so the
device carried by a volunteer so the
device carried by a volunteer so the volunteer can read and relay these
volunteer can read and relay these
volunteer can read and relay these messages in the next time they visit at
messages in the next time they visit at
messages in the next time they visit at the house so this is the whole loop we
the house so this is the whole loop we
the house so this is the whole loop we have deployed the system prototype and
have deployed the system prototype and
have deployed the system prototype and deployed it in three different district
deployed it in three different district
deployed it in three different district in Thailand and we have been using it to
in Thailand and we have been using it to
in Thailand and we have been using it to collect data for the past six months the
collect data for the past six months the
collect data for the past six months the problem that I found is that the ones
problem that I found is that the ones
problem that I found is that the ones here told me also is that sometimes the
here told me also is that sometimes the
here told me also is that sometimes the recommendation from doctor came too slow
recommendation from doctor came too slow
recommendation from doctor came too slow they went to visit the house the next
they went to visit the house the next
they went to visit the house the next time before they see the new
time before they see the new
time before they see the new recommendations and the problem to that
recommendations and the problem to that
recommendations and the problem to that is we just don’t have enough doctors in
is we just don’t have enough doctors in
is we just don’t have enough doctors in the loop and plus we don’t have enough
the loop and plus we don’t have enough
the loop and plus we don’t have enough number of volunteers so I was thinking
number of volunteers so I was thinking
number of volunteers so I was thinking maybe rather than creating you know the
maybe rather than creating you know the
maybe rather than creating you know the latest aggressive technology today it
latest aggressive technology today it
latest aggressive technology today it might be more important that we put
might be more important that we put
might be more important that we put emphasis into creating a
emphasis into creating a
emphasis into creating a patient-centered offline support systems
patient-centered offline support systems
patient-centered offline support systems for volunteers and technology should be
for volunteers and technology should be
for volunteers and technology should be designed to help this you know
designed to help this you know
designed to help this you know volunteers work easier faster and not to
volunteers work easier faster and not to
volunteers work easier faster and not to replace them so that’s the key however
replace them so that’s the key however
replace them so that’s the key however now when I think about scalability
now when I think about scalability
now when I think about scalability because that’s what I think about all
because that’s what I think about all
because that’s what I think about all the time when you provide a program like
the time when you provide a program like
the time when you provide a program like this how do you scale to outside of you
this how do you scale to outside of you
this how do you scale to outside of you know region that we have for example the
know region that we have for example the
know region that we have for example the scale to places where it’s so far away
scale to places where it’s so far away
scale to places where it’s so far away from hospital that getting to hospital
from hospital that getting to hospital
from hospital that getting to hospital is not easy or or maybe to metropolitan
is not easy or or maybe to metropolitan
is not easy or or maybe to metropolitan area when when there’s no
area when when there’s no
area when when there’s no volunteer networks so technology has to
volunteer networks so technology has to
volunteer networks so technology has to be used one other technology piece this
be used one other technology piece this
be used one other technology piece this can be a more you know more advanced
can be a more you know more advanced
can be a more you know more advanced technology is this we already have six
technology is this we already have six
technology is this we already have six month worth of data collecting about
month worth of data collecting about
month worth of data collecting about behaviors of how Thai people lives along
behaviors of how Thai people lives along
behaviors of how Thai people lives along with the doctor recommendation we can
with the doctor recommendation we can
with the doctor recommendation we can use these sets of data to train a
use these sets of data to train a
use these sets of data to train a machine and we create we can create an
machine and we create we can create an
machine and we create we can create an AI base software systems that maybe can
AI base software systems that maybe can
AI base software systems that maybe can automatically put out suggestion and
automatically put out suggestion and
automatically put out suggestion and recommendation in terms of behavior like
recommendation in terms of behavior like
recommendation in terms of behavior like what to eat what to do how to exercise
what to eat what to do how to exercise
what to eat what to do how to exercise and not to drink things like that for
and not to drink things like that for
and not to drink things like that for patients this is pretty much um make the
patients this is pretty much um make the
patients this is pretty much um make the lives of the doctor easier because
lives of the doctor easier because
lives of the doctor easier because instead of having to write out a
instead of having to write out a
instead of having to write out a suggestion he or she can just proofread
suggestion he or she can just proofread
suggestion he or she can just proofread it another piece of technology is this
it another piece of technology is this
it another piece of technology is this when patients live so far away getting
when patients live so far away getting
when patients live so far away getting new Hospital is too difficult what’s the
new Hospital is too difficult what’s the
new Hospital is too difficult what’s the problem if you don’t keep the lab tests
problem if you don’t keep the lab tests
problem if you don’t keep the lab tests on a regular basis if you don’t have the
on a regular basis if you don’t have the
on a regular basis if you don’t have the value that lab tests on a regular basis
value that lab tests on a regular basis
value that lab tests on a regular basis it’s hard to track whether what you did
it’s hard to track whether what you did
it’s hard to track whether what you did last month worked or not right but some
last month worked or not right but some
last month worked or not right but some people getting a hospital on a regular
people getting a hospital on a regular
people getting a hospital on a regular basis is just not possible so I was
basis is just not possible so I was
basis is just not possible so I was thinking what if the volunteer can bring
thinking what if the volunteer can bring
thinking what if the volunteer can bring the lab test to their home carrying on
the lab test to their home carrying on
the lab test to their home carrying on you know the small device like this that
you know the small device like this that
you know the small device like this that can carry in your pocket we call that
can carry in your pocket we call that
can carry in your pocket we call that Internet of Things or IOT
Internet of Things or IOT
Internet of Things or IOT there are several sensors to measure
there are several sensors to measure
there are several sensors to measure blood pressure blood sugar you know
blood pressure blood sugar you know
blood pressure blood sugar you know heart rate or weight or things like that
heart rate or weight or things like that
heart rate or weight or things like that these information can be taken at the
these information can be taken at the
these information can be taken at the point of care and can be used for
point of care and can be used for
point of care and can be used for analysis later on last when you lived in
analysis later on last when you lived in
analysis later on last when you lived in a metropolitan area like myself to
a metropolitan area like myself to
a metropolitan area like myself to control what to eat and to maintain
control what to eat and to maintain
control what to eat and to maintain sustainable diet is pretty challenging
sustainable diet is pretty challenging
sustainable diet is pretty challenging don’t you think if I have a bot that can
don’t you think if I have a bot that can
don’t you think if I have a bot that can talk to me using my own personal data to
talk to me using my own personal data to
talk to me using my own personal data to answer my questions about food
answer my questions about food
answer my questions about food for example the bot should be able to
for example the bot should be able to
for example the bot should be able to answer the questions smart enough enough
answer the questions smart enough enough
answer the questions smart enough enough so that it used my data my eating
so that it used my data my eating
so that it used my data my eating behavior my blood sugar condition to
behavior my blood sugar condition to
behavior my blood sugar condition to answer my questions that would make my
answer my questions that would make my
answer my questions that would make my life a lot easier for example if I can
life a lot easier for example if I can
life a lot easier for example if I can ask the bot if I can go crazy and drink
ask the bot if I can go crazy and drink
ask the bot if I can go crazy and drink lots of wine at the after party tonight
lots of wine at the after party tonight
lots of wine at the after party tonight after the talk to celebrate the bottom I
after the talk to celebrate the bottom I
after the talk to celebrate the bottom I says yes 1 to 2 2 to 3 glasses and if I
says yes 1 to 2 2 to 3 glasses and if I
says yes 1 to 2 2 to 3 glasses and if I asked it again tomorrow with the exact
asked it again tomorrow with the exact
asked it again tomorrow with the exact same
same
same questions the bots might say is no way
questions the bots might say is no way
questions the bots might say is no way you just did that yesterday
you just did that yesterday
you just did that yesterday right so things should be customized and
right so things should be customized and
right so things should be customized and you know give answer that makes sense to
you know give answer that makes sense to
you know give answer that makes sense to us now I do believe that health care in
us now I do believe that health care in
us now I do believe that health care in Thailand will improve very fast with
Thailand will improve very fast with
Thailand will improve very fast with technology and I do believe that soon it
technology and I do believe that soon it
technology and I do believe that soon it would be a lot more inclusive than now I
would be a lot more inclusive than now I
would be a lot more inclusive than now I mean a lot of people are taking interest
mean a lot of people are taking interest
mean a lot of people are taking interest in it in Thailand we don’t have much now
in it in Thailand we don’t have much now
in it in Thailand we don’t have much now but we have taken the first steps and a
but we have taken the first steps and a
but we have taken the first steps and a lot of government agency and company has
lot of government agency and company has
lot of government agency and company has take interest and look into investing
take interest and look into investing
take interest and look into investing more in healthcare so I sincerely hope
more in healthcare so I sincerely hope
more in healthcare so I sincerely hope that my talk today will even inspire
that my talk today will even inspire
that my talk today will even inspire more of you to think about it take your
more of you to think about it take your
more of you to think about it take your interest maybe jumped in and use health
interest maybe jumped in and use health
interest maybe jumped in and use health care to help help to improve healthcare
care to help help to improve healthcare
care to help help to improve healthcare in Thailand in the future thank you very
in Thailand in the future thank you very
in Thailand in the future thank you very much
much
much [Applause]
”
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