Player is loading...
La santé à l'ère des assistants numériques
Yariv Adan, Chef produits Google Assistant, GOOGLE (Suisse)
Friday, June 7, 2019 · 9:56 a.m. · 30m 38s
Embed
Transcriptions
Note: this content has been automatically generated.
00:00:00
like everyone thank you work sort of put projections or with phil somehow so
00:00:12
yes
00:00:15
okay
00:00:17
so if you may name
00:00:21
i will step a bit back and not talk just about
00:00:24
his but actually about the transformation revolution in human machine interaction
00:00:29
but i think that is happening now with actually critic and going in my opinion to change
00:00:34
the way we interact with computer and then the dictation also in the context of health
00:00:40
so i'm a good product manager engineering manager which means that ever
00:00:43
since i was a baby i was obsessed with technology and product
00:00:47
but i was especially excited about this kind of
00:00:49
things are planes radios computers cars that completely transformed that
00:00:54
the way that they if people leave right like if you were
00:00:58
born before and went through you couldn't remember actually how it worked before
00:01:02
and if you were born after you couldn't understand how can you leave without that
00:01:07
so i sent extremely like you were about twenty years ago when i began michael here
00:01:12
actually went through one of these huge evolution and and this was of course the internet night
00:01:17
within a very short time we shifted from the world that was
00:01:21
very physical we had to go to physical places in consume physical goods
00:01:25
the world that is digital lacking because in services any information
00:01:30
from the convenience of our whole what was amazing is
00:01:33
how actually the rating scale of change that happened within
00:01:37
very few years we had hundreds of millions of people
00:01:40
around the world connecting to hundreds of millions of services
00:01:43
some of them of course information that is related to health and services that are related to it
00:01:48
and look allow that work platforms of scale we headed in
00:01:53
the back and wait data centres in the front on the computers
00:01:56
device with a browser in a search engine that to make it very easy for anyone to put the web page out there
00:02:02
and then for anyone to find between music and of course it changes which is the last consumers and change the industry
00:02:09
so i said like extremely lackey living through it and i thought it's a once in a lifetime opportunity
00:02:14
but then i kind of ten years after another revolution an even bigger what happened
00:02:19
it's very small change to the device to the computer it became slightly smaller we
00:02:24
caught a few chords and we added some very simple things are the comet i'm mike
00:02:29
so you know a a speaker accelerometer nothing that cost more than a few dollars
00:02:34
but it completely changed the world across three dimensions what first many more users suddenly
00:02:40
had access to the technology and services is before it was mostly hundreds of millions
00:02:45
in the us in europe that'd land lines and had ability to buy computer four thousand dollars
00:02:50
seven you had billions around the world connecting to deserve one hundred or
00:02:54
less devices that don't really need that infrastructure you just put up a power
00:02:59
so many more users second much more use it before that okay we used email and other stuff like how many to work
00:03:05
but in between were disconnected suddenly this device work totally addicted to it
00:03:10
will be like a hundred and fifty a hundred and eighty times a day
00:03:13
and you really cannot imagine even three days with out the device
00:03:17
right so we have much more users many more users in much will use it but the most interesting thing that happened
00:03:24
suddenly new ways of using technology emerged that did not exist
00:03:28
before navigating whether you all walking or whether you are in
00:03:32
the car you navigate using the phone you track yourself when you run when you walk when you sleep is gonna happen
00:03:38
felt fees in step around chatting using with did not exist
00:03:42
until the device was you know pocket and you couldn't imagine it
00:03:46
and again the what platforms of scale you had all these powers on the back end and you made
00:03:52
up stories in smart phone o. s. on the front end that our views and allowed billions of people
00:03:58
to connect to all of this may need n. services you just can happen back story works
00:04:04
and again if you missed that opportunity if you're a company or service that the north the mobile evolution
00:04:10
it's very hard to exist after two thousand and then when did that become mainstream and i believe we're currently
00:04:18
going for third revolution that is even bigger than the
00:04:23
previous two and it's going to change completely the industry
00:04:26
they had a thing that's the the consumer way and we were going to interact with technology
00:04:31
and this is powered by a i i just look at some of the interesting thing that is happening with a i
00:04:37
i actually started to do things that before that only human
00:04:40
used to do right to start to see stuff into recognised it
00:04:44
and ever since the two thousand sixteen actually see recognise
00:04:47
better than us actually computer recognition is better than human recognition
00:04:53
but it's not only that right so they actually kind of understand what they're saying in a in a image
00:05:00
they can actually also talking within a very nice the more how they
00:05:03
actually talking a natural way lay language they can actually hear and understand
00:05:09
what that means in trance like when we talk to them platter language that actually have a deeper understanding of
00:05:17
the language features for example shown in translation that actually
00:05:20
known semantically too great an equivalent sentence in another language
00:05:24
and ah that i'm showing you are talking about the picture actually no not to to connect the language with the
00:05:31
picture that they're showing right and this is very exciting
00:05:35
again we've already think revolutionising things in the area of his
00:05:39
in medical like with understanding which understands kind of text
00:05:42
in in that understanding a and a lot of very
00:05:45
cool stuff but what i'm excited about and what i call a paradigm the paradigm shift tonight are you are you
00:05:53
it's not the not only does that is going to happen in medical five five in in hospitals
00:05:58
but actually to the consumer space we have seen the revolution that
00:06:02
happy and when a computer turned into a phone that goes with you
00:06:06
now imagine that you don't need to turn on anything you don't need power not i don't need to still you don't need to use it
00:06:12
instead it exist around you cliff is to understand you it knows
00:06:16
how to talk back it's easy thing to understand what it sees
00:06:20
well actually shifting from an era where humans had to learn how to interact
00:06:25
with machines we learned how to use windows will learn how to use microsoft office
00:06:30
we learned how to use x. sale were she's been to
00:06:33
an air ah were machines are learning how to adapt to humans
00:06:37
they are learning uh how do i a speak with us
00:06:41
how to explain what they see and interact in the way
00:06:44
that we found moment not most natural so this is very cool especially
00:06:50
for geek like me that is excited by what they i that i'm
00:06:52
going to be able to talk machines what what that exactly how is that going to change his let's go back what i said before you know
00:06:59
as we introduce the internet and then we produce more by regions completely across three different a parameters
00:07:05
one we had many more people it better using technology into
00:07:08
the into about two more than two billion people are using technology
00:07:11
but most of them are using it for very basic stuff every news they
00:07:15
send email they do some chart but how many of you used in his ah
00:07:20
how many of you use the backing out how many of your actually purchasing
00:07:23
stuff on the way how many of you feel comfortable research in your house condition
00:07:27
or booking all pale or are actually buying tickets for movie if complicated you need to speak machine age
00:07:34
but now imagine that only need to do is to express an intent
00:07:37
i don't feel good and watch but actually hey they were the nearest doctor
00:07:41
am i have a pain now i just ate something am i allowed
00:07:45
to eat something is all i drank three bottles of wine is that okay
00:07:49
call my doctor had so suddenly you can interact with it in very naturally it breaks all
00:07:54
the barriers of age would you keychain of language also shut cannot make everyone can speak about everything
00:08:01
everyone knows just to express intent every since we're to the chinese to shut us up at some point
00:08:07
right so this one many more people yeah i don't think is much more use it again we saw
00:08:12
that wanted to be device and make it small and put it in a pocket we use it a hundred
00:08:17
fifty times a day but i still need to take it out of my pocket i still need to
00:08:21
unlock it i still need to turn on the device in nineteen again what i need to do is speak
00:08:26
and maybe even not to the machine medically since preserving privacy and knows what to
00:08:30
come in fact delete all around us i think the phone is the left device
00:08:35
devices i want to dissipate it will just be the entity that tells us that is out there
00:08:40
but the most exciting think that i think will happen is new forms of using technology will emerge again
00:08:48
we had this phone very simple sensors and all of a sudden itself even a bunch
00:08:52
of weird things only imagine that in science fiction thank you know could not imagine that
00:08:56
now imagine that we have not only in only simple device but eating microphone with between
00:09:02
the cars it's in watches it's in medical devices it's on t. v.s its own spins
00:09:06
it's in cars it's like all these technical capabilities that only have the
00:09:10
understanding and ability to communicate i think this is the tracking exciting space
00:09:15
and especially what i'm excited about it how will you be
00:09:18
able to change the way that puts us actually control their hits
00:09:22
and especially in preventive health and especially in chronic condition
00:09:26
where a lot of it is about lifelong changing behaviours
00:09:30
how why journal my life how do i track what i'm doing how can i get coaching
00:09:35
how can i actually really really for years and years and years behave better so
00:09:39
i can actually be a healthy person and not ever getting to the health system
00:09:44
and i think that actually this technology is not the revolution that will allow
00:09:48
the card of interactions at the moment we need the human to do that but
00:09:53
the big challenge you is what i said before in order for that to happen
00:09:56
at the large scale the platform scare you need to make it very very easy
00:10:00
for any possibly tile all service provider of either therapies to whoever
00:10:06
to provide a service to users in a way that they can use it in a
00:10:09
natural way we don't expect everyone to know how to code up hoppers of natural language
00:10:14
it isn't exactly the current over a space where stuff
00:10:18
aggressive spent about a a companies are most on another that
00:10:22
the operating in the space that we're trying to do so basically what we're trying to do to make it exceptionally easy
00:10:27
to be on one side and understand intents
00:10:30
not showing would understand vision understand the context around
00:10:34
you understand user activity understand what you're trying to achieve and somehow make it accessible and easy
00:10:41
to all the service providers and allow them to a provider or
00:10:44
services that consider doing it in a in a regular compute that way
00:10:48
but related to this u. menu why in this what we're trying to to provide that
00:10:52
the the systems of scale eh em and at the moment we're still like this for me i am
00:10:59
early stage of that but i don't want to to spend the next two minutes in a live demo
00:11:04
because i am of what is the current
00:11:08
say am state or all of the technology
00:11:14
in this space so what i'm going to show you a hopefully it'll connect and everything's good is actually
00:11:26
every live demo everything that they're doing you can also do on your on their computer and see what for
00:11:36
and i will do them knowing that are related to weird but honestly only because i think in order to
00:11:41
see like we're very careful with has you know privacy and other stuff and you need to be very accurate
00:11:45
so you can uh some of the stuff that i will see i'm not the mystery had
00:11:48
a square is that you can actually start means part imagine how that goes actually also to it
00:11:53
how do we take the understanding that we have current in other domains with less risk
00:11:58
and how can we actually change uh it evolution so let's start that's it for example or the person i want
00:12:03
to know you know i i need to possibly pens work and i want to i know i'm not take you
00:12:08
i don't feel comfortable too much in doing searches and what not i don't want to be able to consume information right so that we can come of
00:12:14
how human would do that right so what was it that are there in
00:12:22
zurich what hospitals or their rounds or can you go okay so it's about
00:12:31
a okay that's university hospital in zurich have an emergency room 'cause university hospital
00:12:40
in zurich having emergency room around zurich sure cartons okay what their phone number
00:12:52
university hospitals or it can be contacted it over for four to five part
00:12:56
one one one one how them common university hospital at zero though that in
00:13:12
so so it was it was actually the like to know very natural nothing really perspective
00:13:17
in a in a very way that you know i would ask another person about the
00:13:21
and what you've seen that too thing one actually teams but when humans so when it really isn't it actually because they're the perfect english accent
00:13:28
it actually differ i think they did that determine what and i think that actually knows how
00:13:31
to fix in a way that our brain works exactly so no that wasn't doesn't make sense
00:13:35
maybe that's what you mean and it's very good and i think that you you i love you notice
00:13:40
is that actually when you do where is to begin searching to provide the entire context in the
00:13:45
query this is not how we speak you know i spoke in court it's i said call them
00:13:49
you know because it open what our site actually understand politics it allows people that are not technology not
00:13:55
to think about how last but only to focus what was right and this applies of course got the stuff
00:14:00
like you know what is the active component in pain killers according to web m. d. tylenol contains a
00:14:09
seen anything they're contains aspirin abilene motoring contain ibuprofen in
00:14:14
revisiting what is the difference between tylenol and ibuprofen here's
00:14:19
a summary from as a map i seen anything in ibuprofen or used to manage mild to moderate pain
00:14:25
and fever seen anything that pain reliever in fever reduce or in ibuprofen isn't nonstop so so you can actually
00:14:32
start no light easily to get information in advanced way in a way that actually can humans reduce the
00:14:38
various what's that that kind of people that think off when it would ah there sigh on or wherever to
00:14:45
typically pressing the family to to forego making much more
00:14:48
excessive but but we really wanted to take the next step
00:14:52
and and really provide natural language delay that people speak which are there in one areas without
00:14:58
getting yes because it goes again to there is but one areas when we try to remember
00:15:02
names of movies or who walks or people i then it's like it's like really horrible i like him
00:15:10
what is the movie where a french aristocrats part i the covers of an
00:15:14
accident in get hand firmly that i i think from africa and they become friends
00:15:21
i i i exactly the untouchables like this doesn't but but like let's even go further
00:15:28
in what he's the movie with julia roberts where she has
00:15:32
the sound deformed face anywhere is an astronaut mask here's a summary
00:15:39
from the sound wonder tells the tailor ten year old new yorker
00:15:43
august id problem so i so i think this is amazing because
00:15:49
what i did here is that where you would you would actually
00:15:54
that in the fourteen whatever point something billion years of the universe no
00:15:58
i never did that with the before and it's like a very noise
00:16:01
aquarium actually i don't think it got a bit or my word right
00:16:04
and it is a lot of like you know very confusing terms that actually
00:16:08
relate to much more important pieces of information that enough to not be double bills facing about before
00:16:14
and then it meant within split second goal that but around the
00:16:17
ocean robots and computers and from all possible entities in the world
00:16:23
currently the one fact that actually lakes deafening noise equally so coming again
00:16:29
you know to the way people one of the channels it given his
00:16:31
people are not very accurate in the way that they describe the confusion in the way
00:16:35
that they describe a pain in the way the what they describe what where they're going
00:16:39
so i think that this ability actually to pick
00:16:42
up from is fairly noisy in really natural natural language
00:16:46
what is the entity that we won't i think this is again one of the most critical i am technologies
00:16:52
that will transform health in that sense england for there was to start a long display
00:16:59
a communication it's very interesting to see that people interacting all right with this assistant innovative new
00:17:06
way so we have about billions of queries every day all start it on assistant for think
00:17:10
where is that we've never seen before one pieces like you know you have this like sonic
00:17:15
where is that with out the voice you just cannot ah design examples for my children because
00:17:20
if you really want to get you know creative stuff blasted article then you know what are
00:17:23
some cool stuff that you're doing one is is that that you could you could not before
00:17:27
right so like an example was how do you spell stupid probably fatalistic it's gotta go she
00:17:34
super count fragile listed next year ago she spelled s. u. p. e. r. yeah there's heavy handed over r. a.
00:17:40
g. r. r. r. well what is the name of the mountain in ice and that no one can pronounce its name
00:17:50
yeah i've got my local uses summary from this again k. that it's the one that looks than
00:17:56
anyone stop and was actually doing what is that there is no other way actually to ask it
00:18:00
and actually the double it again to understand and find it what it is that you want but it
00:18:05
but more interesting is actually once we allow that and suddenly so people asking person up with the assistant
00:18:11
stuff that they never deed concert and this is very important if we want
00:18:15
to take it to areas that you know about loneliness in wrote condition mental conditions
00:18:21
that actually that interaction the ability to have personal
00:18:24
and understand before an emotional it is political right so
00:18:27
we're starting to see like you know really with queries like you know you have a boyfriend
00:18:34
are more focused on being your assistant right now but if you happen to know any single appliances
00:18:41
you believe in love let's take a look yeah do you believe in love wrote a song about a good connection
00:18:53
i think me a happy birthday happy birthday to
00:18:59
are are they you are a compliment me you any right i feel like you don't know you
00:19:09
for that and actually where is that we liked was we were thinking that this is before the housing track
00:19:14
the machines you know especially if you put it in such a good role that actually goes to the next level
00:19:20
this is really a menu item actually already things that the kind of related to
00:19:23
had like like i don't see well i'm sorry to hear that i hope you feel
00:19:29
better i have a stomach ache here's a summary from right and d. letter you've
00:19:37
got so it's an interesting letter we also learned that some of these times you know
00:19:42
uses all they want is a little bit of emotional support other time remote tunnel nearby pharmacy the other car ins
00:19:47
they want actually to get information about the condition and dislike orbit machine learning can do i want
00:19:53
to show you a little bit hard like even more of the the ability to understand language so
00:19:57
one of the challenges of is the eh either you go way am
00:20:03
willing the data for example i can say how do you say in
00:20:07
german i don't feel where where than what's become your buy in german
00:20:14
you would say it's foolish image to a ruined any income in houses
00:20:18
it's a cat that again i dislike making this accessibility in information
00:20:23
i am much more accessible but what we want to do is actually also allow
00:20:27
people to relate to their own world not just to be out the world lights
00:20:31
so for example you i i can say remind me to record my weight and my blood
00:20:41
pressure every morning alright i'll remind you every day i am reminded to technically is when i get
00:20:54
whole sure aren't aren't you when you get home i'll show you my photos of my x.
00:21:02
ray i shall when your photos that uh some further that look like that but it's again right
00:21:13
but in and of course i didn't go and and classify
00:21:17
any of my photos or it's they'll but parents exactly but
00:21:22
but this starts to connect the ability of actually understanding emerging in understanding the meaning and
00:21:28
understanding natural language at any point to that information if the patient his all the information
00:21:34
in their pocket on the phone you are actually he to get information overload
00:21:39
problem but if you can actually use natural language and use like and i am
00:21:45
for nothing you where he's and then really didn't we actually you
00:21:48
can find it if much faster than any system can find it
00:21:52
at the moment and of course one important thing is like is
00:21:56
we do that either we want to be able to integrate it to
00:22:01
with devices around you because otherwise so i don't have a flying car medical device
00:22:05
so i will show the you know how we can just adores ought to work
00:22:08
with the the phone and the most important thing once once is of course because
00:22:13
l. c. a. opening our uh it every once in a while i go and
00:22:23
again i guess actually didn't understand of intent what they mean to look into the device
00:22:27
in actually being able to execute and of course you can extend that now to any medical device you know much about president pick my way
00:22:34
a my fever might look was and so forth like that very easily
00:22:37
see so i will cut the demo short in here like but with
00:22:43
all the stuff to what i thought was things that actually do what is changing and machines are interacting with humans in a very different way
00:22:50
they understand what we speak to understand the context i showed a little bit was much more than just the natural
00:22:54
language to understand the world the fact of the what was it out of the the the medication and so forth
00:23:00
understand what the user means in a very broad way i'm able to have a conversation in a dialogue not just
00:23:05
a wary without you know that is like a a markov chain is the way it understand images it can actually personalise
00:23:12
it understood my home and assume reminders and so forth a and this is changing everything and i think again i
00:23:19
tried to imagine that the stock exact checking into governor five in two thousand six in telling you a mobile is carmen
00:23:25
i think that this age of a an assistant is here the the the time in which
00:23:30
will actually start interacting with machines about hey if in this way i think is very nearby
00:23:36
you don't want to ignore the internet in nineteen ninety six you don't read normal binding two thousand and
00:23:41
five i think you don't want to ignore the evolution of a high in machine learning humid watching cartoons
00:23:46
in a powder nineteen so thank you very very much you've been awesome arkansas it's fun and they're of enjoy
00:23:59
i thank you for the presentation are impressive
00:24:04
is there any question from the audience means that it's an improvement from the interview
00:24:12
it's just i have a question how was to go to the
00:24:16
and dissipating interaction wits systems like google would really persons says designer
00:24:23
will be responsible for a specific action to be delivered for its
00:24:27
its you are especially towards health care so so i think like i am i think they will use it are like it's too
00:24:37
what we're working on a is one reducing the friction how do we make it really that you don't need to say hey
00:24:44
we don't need to do to mart n. in order to to use that that isn't that we're we are working on is
00:24:50
how do you make natural interaction the best way to achieve it
00:24:55
because if you look at some of the historical ways that was when you would expect like it ping pong
00:25:00
game like if you need i want to go over there was becoming say okay which was big that yes thing
00:25:06
was the telling geneva oh okay that's because people are okay with that that
00:25:10
doesn't work argument to say hey please call those people don't have a problem right
00:25:13
nothing like understanding this kind of watch opposite queries and if it is of course about four fifteen
00:25:18
how do i do not show it but we opened up in a catch twenty third party can
00:25:21
use this cup ability to do the surveys like it yeah it what does this assistant can do
00:25:27
and at the moment we expanded is also not only can run out and this and the web
00:25:31
actually can make colour on your behalf and speak on the phone it can actually automatically use the browser
00:25:36
eh i'm high tech and i think that very interesting how do you connect the robots with the physical things
00:25:41
to do that kind of the stuff or take a yeah it's from each
00:25:50
e. right right and getting information is accurate generate a strong critical point of views
00:25:59
yeah and this is like exactly so when we look at information i am
00:26:05
in the world that is factual information how far is the moon how
00:26:09
all these market bar mar what is the capital layers with another that request
00:26:14
um with the federal sick if i am i can develop and then there are you
00:26:20
you have a bunch of ear am where it quite is that a kind of a matter
00:26:25
of opinion and then that is a where is that you have before we take it back
00:26:28
in his usually four hundred four we take it into the like more people than i am
00:26:34
sources eh yeah and that this is why we're like very careful about it then
00:26:40
so i think that what we will do like if you today ask am i the dinosaurs in the world
00:26:45
we might show liking a different opinion from different
00:26:47
websites for has worries were lower going to authoritative sources
00:26:52
whether it's an interesting uh u. k. whether it's like
00:26:54
i am big clinics within view other places eh and
00:26:59
yeah i'm in the eh in in the us other places that
00:27:03
but that to it that's not only don't but by the other challenges
00:27:07
that we want to make sure that we understood very very very
00:27:10
good because there are spaces not to continue someone like if your it
00:27:14
small misunderstanding of aquarium would actually result in a very different and so
00:27:20
so we're very very carefully and very very well aware and this was some of the stuff
00:27:23
i shown you know it's fine if i don't remember the right if i show you four options
00:27:27
about you know what is the specific movie that i think maybe down so but like if you asked
00:27:31
me about you know way i've this skinny thing i cannot tell you or maybe have cancer maybe you don't
00:27:36
but that's not very helpful so we get on the stand with where is really really good
00:27:40
and knowing that this is the type of query that you require very high the forty two source
00:27:46
that's our approaching thank you would hope time will last question one week
00:28:01
i the demo was impressive and i want want someone to
00:28:05
sit seeing that does and does the department will be everywhere
00:28:10
and each looks to me that it's kind of when you haven't it's
00:28:14
just that you you you ah c. d. by humans who does human specimens
00:28:18
be listening so gets what you before the provocative question that you and just
00:28:22
to this uh how do you may not use real good but the the
00:28:28
assistant would uses all makers will handle the the price because e. a question given that
00:28:35
might be the shouldn't yes is the most always on to catch a query yep so
00:28:41
so the classic approach which is high friction is the hardcore like it doesn't listen to you want to learn as you you know you press
00:28:48
and now we're like taking gave or a group will win so so we're using sensors to know that you're
00:28:53
speaking to it with you know something about human do like i look at you know i speak to you
00:28:58
what is happening actually started this year is well actually there
00:29:01
is more and more i am end to end models on device
00:29:06
that that actually operating better even than the more bills
00:29:09
that are on the clown meaning that with a full speech
00:29:13
and sometime visual on the spending more than on the device
00:29:16
so that where is that you've you've never leave the device
00:29:20
so everything happens on the device and that we don't necessarily even need to remember it
00:29:26
so that's like a huge a advantage so we'd like you
00:29:31
know it's a moment if your view of the questionnaire answers
00:29:33
so that's why i think the other thing is like we're shifting in what we call federated learning
00:29:38
so basically all the machine learning training happens on the device so the raw
00:29:43
raw data that we use for training of some proving level uh it happens
00:29:47
we are actually generating in machine learning more bill on the device and then
00:29:51
we only send a parameter which is meaningless numbers of nodes in the graph
00:29:56
to use that learning it and so these two i think these two things on
00:30:01
on device eh in federated learning will be a good for nothing then the
00:30:05
third was security comes in to make sure that this device doesn't become part
00:30:10
i so we need really to protect it but we don't still on the device
00:30:13
of the police are you x. y. for teenagers some kind of common and hacked
00:30:18
but but i think this is the direction that if we really wanted to listen it cannot go to the clouds and that makes no sense
Conference Program
Mots de bienvenue
Sébastien Mabillard, CEO | Swiss Digital Health
June 7, 2019 · 9:05 a.m.
140 views
Mots de bienvenue
Victor Fournier, Chef de Service de la santé publique | Canton du Valais
June 7, 2019 · 9:09 a.m.
151 views
Mots de bienvenue
Laurent Sciboz , Directeur des instituts informatiques
June 7, 2019 · 9:14 a.m.
155 views
Vidéo avec Nao
June 7, 2019 · 9:23 a.m.
Soutenir le parcours du patient à l'ère du numérique
Frédéric Ehrler, R&D chef de groupe Interaction homme-machine et capteurs, HUG (Suisse)
June 7, 2019 · 9:28 a.m.
188 views
La santé à l'ère des assistants numériques
Yariv Adan, Chef produits Google Assistant, GOOGLE (Suisse)
June 7, 2019 · 9:56 a.m.
149 views
Preventive medicine at home allows health costs reduction
Guillaume Dupasquier, CEO, Domosafety
June 7, 2019 · 10:29 a.m.
Introduction de la 2ème partie, Assistants @ Home
Sébastien Mabillard, CEO | Swiss Digital Health
June 7, 2019 · 11:22 a.m.
How humanoid robot can be an assistant to the healthcare personnel
Thierry Perronnet, General Manager, Avatarion Technology (Switzerland)
June 7, 2019 · 11:24 a.m.
Physical Therapy made Digital ? The new standard of care for the next 50 years
André Eiras Dos Santos, COO, General Manager EMEA & APAC, SWORD HEALTH (Portugal)
June 7, 2019 · 11:54 a.m.
208 views
Aging in Place – A story of intelligent design and assistive technology
James Wyman, COO & co-founder, PILLO HEALTH (USA)
June 7, 2019 · 12:14 p.m.
The Power of Clinical Curiosity
Benjamin Errett, Senior Director of Brand, FIGURE 1 (Canada)
June 7, 2019 · 12:43 p.m.
Introduction à la 3ème partie: Seeds of innovation and pre-arranged meetings
Sébastien Mabillard, CEO | Swiss Digital Health
June 7, 2019 · 2:04 p.m.
A conversational robot doubles the success rate of quitting smoking
Roland Savioz and Michael Schumacher, OBEEONE / HES-SO Valais-Wallis (Switzerland)
June 7, 2019 · 2:07 p.m.
124 views
What are the challenges facing the health system in the face of the digitalization of family life?
Maddalena Di Meo, CEO & founder, BABY & KIDS CARE (Switzerland)
June 7, 2019 · 2:29 p.m.
622 views
How do health companions change our daily lives?
Giovanni Joerger, Marketing & sales director, OFAC (Switzerland)
June 7, 2019 · 2:47 p.m.
113 views
Soignez-Moi.ch: your doctor without delay
Romain Boichat, COO & co-founder, SOIGNEZ-MOI.CH (Switzerland)
June 7, 2019 · 3:10 p.m.
503 views
Table ronde
June 7, 2019 · 3:29 p.m.
Conclusions
Sébastien Mabillard, CEO | Swiss Digital Health
June 7, 2019 · 4:24 p.m.
Recommended talks
Groupe Mutuel - Ignilife: le coach santé au quotidien
Stéphane Andenmatten, Responsable Marketing - Membre du Management chez Groupe Mutuel
June 3, 2016 · 12:12 p.m.
609 views