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like everyone thank you work sort of put projections or with phil somehow so
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yes
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okay
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so if you may name
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i will step a bit back and not talk just about
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his but actually about the transformation revolution in human machine interaction
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but i think that is happening now with actually critic and going in my opinion to change
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the way we interact with computer and then the dictation also in the context of health
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so i'm a good product manager engineering manager which means that ever
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since i was a baby i was obsessed with technology and product
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but i was especially excited about this kind of
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things are planes radios computers cars that completely transformed that
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the way that they if people leave right like if you were
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born before and went through you couldn't remember actually how it worked before
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and if you were born after you couldn't understand how can you leave without that
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so i sent extremely like you were about twenty years ago when i began michael here
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actually went through one of these huge evolution and and this was of course the internet night
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within a very short time we shifted from the world that was
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very physical we had to go to physical places in consume physical goods
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the world that is digital lacking because in services any information
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from the convenience of our whole what was amazing is
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how actually the rating scale of change that happened within
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very few years we had hundreds of millions of people
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around the world connecting to hundreds of millions of services
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some of them of course information that is related to health and services that are related to it
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and look allow that work platforms of scale we headed in
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the back and wait data centres in the front on the computers
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device with a browser in a search engine that to make it very easy for anyone to put the web page out there
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and then for anyone to find between music and of course it changes which is the last consumers and change the industry
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so i said like extremely lackey living through it and i thought it's a once in a lifetime opportunity
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but then i kind of ten years after another revolution an even bigger what happened
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it's very small change to the device to the computer it became slightly smaller we
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caught a few chords and we added some very simple things are the comet i'm mike
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so you know a a speaker accelerometer nothing that cost more than a few dollars
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but it completely changed the world across three dimensions what first many more users suddenly
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had access to the technology and services is before it was mostly hundreds of millions
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in the us in europe that'd land lines and had ability to buy computer four thousand dollars
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seven you had billions around the world connecting to deserve one hundred or
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less devices that don't really need that infrastructure you just put up a power
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so many more users second much more use it before that okay we used email and other stuff like how many to work
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but in between were disconnected suddenly this device work totally addicted to it
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will be like a hundred and fifty a hundred and eighty times a day
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and you really cannot imagine even three days with out the device
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right so we have much more users many more users in much will use it but the most interesting thing that happened
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suddenly new ways of using technology emerged that did not exist
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before navigating whether you all walking or whether you are in
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the car you navigate using the phone you track yourself when you run when you walk when you sleep is gonna happen
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felt fees in step around chatting using with did not exist
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until the device was you know pocket and you couldn't imagine it
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and again the what platforms of scale you had all these powers on the back end and you made
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up stories in smart phone o. s. on the front end that our views and allowed billions of people
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to connect to all of this may need n. services you just can happen back story works
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and again if you missed that opportunity if you're a company or service that the north the mobile evolution
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it's very hard to exist after two thousand and then when did that become mainstream and i believe we're currently
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going for third revolution that is even bigger than the
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previous two and it's going to change completely the industry
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they had a thing that's the the consumer way and we were going to interact with technology
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and this is powered by a i i just look at some of the interesting thing that is happening with a i
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i actually started to do things that before that only human
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used to do right to start to see stuff into recognised it
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and ever since the two thousand sixteen actually see recognise
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better than us actually computer recognition is better than human recognition
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but it's not only that right so they actually kind of understand what they're saying in a in a image
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they can actually also talking within a very nice the more how they
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actually talking a natural way lay language they can actually hear and understand
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what that means in trance like when we talk to them platter language that actually have a deeper understanding of
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the language features for example shown in translation that actually
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known semantically too great an equivalent sentence in another language
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and ah that i'm showing you are talking about the picture actually no not to to connect the language with the
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picture that they're showing right and this is very exciting
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again we've already think revolutionising things in the area of his
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in medical like with understanding which understands kind of text
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in in that understanding a and a lot of very
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cool stuff but what i'm excited about and what i call a paradigm the paradigm shift tonight are you are you
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it's not the not only does that is going to happen in medical five five in in hospitals
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but actually to the consumer space we have seen the revolution that
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happy and when a computer turned into a phone that goes with you
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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
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instead it exist around you cliff is to understand you it knows
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how to talk back it's easy thing to understand what it sees
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well actually shifting from an era where humans had to learn how to interact
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with machines we learned how to use windows will learn how to use microsoft office
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we learned how to use x. sale were she's been to
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an air ah were machines are learning how to adapt to humans
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they are learning uh how do i a speak with us
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how to explain what they see and interact in the way
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that we found moment not most natural so this is very cool especially
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for geek like me that is excited by what they i that i'm
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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
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as we introduce the internet and then we produce more by regions completely across three different a parameters
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one we had many more people it better using technology into
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the into about two more than two billion people are using technology
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but most of them are using it for very basic stuff every news they
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send email they do some chart but how many of you used in his ah
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how many of you use the backing out how many of your actually purchasing
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stuff on the way how many of you feel comfortable research in your house condition
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or booking all pale or are actually buying tickets for movie if complicated you need to speak machine age
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but now imagine that only need to do is to express an intent
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i don't feel good and watch but actually hey they were the nearest doctor
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am i have a pain now i just ate something am i allowed
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to eat something is all i drank three bottles of wine is that okay
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call my doctor had so suddenly you can interact with it in very naturally it breaks all
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the barriers of age would you keychain of language also shut cannot make everyone can speak about everything
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everyone knows just to express intent every since we're to the chinese to shut us up at some point
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right so this one many more people yeah i don't think is much more use it again we saw
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that wanted to be device and make it small and put it in a pocket we use it a hundred
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fifty times a day but i still need to take it out of my pocket i still need to
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unlock it i still need to turn on the device in nineteen again what i need to do is speak
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and maybe even not to the machine medically since preserving privacy and knows what to
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come in fact delete all around us i think the phone is the left device
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devices i want to dissipate it will just be the entity that tells us that is out there
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but the most exciting think that i think will happen is new forms of using technology will emerge again
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we had this phone very simple sensors and all of a sudden itself even a bunch
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of weird things only imagine that in science fiction thank you know could not imagine that
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now imagine that we have not only in only simple device but eating microphone with between
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the cars it's in watches it's in medical devices it's on t. v.s its own spins
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it's in cars it's like all these technical capabilities that only have the
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understanding and ability to communicate i think this is the tracking exciting space
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and especially what i'm excited about it how will you be
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able to change the way that puts us actually control their hits
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and especially in preventive health and especially in chronic condition
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where a lot of it is about lifelong changing behaviours
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how why journal my life how do i track what i'm doing how can i get coaching
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how can i actually really really for years and years and years behave better so
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i can actually be a healthy person and not ever getting to the health system
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and i think that actually this technology is not the revolution that will allow
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the card of interactions at the moment we need the human to do that but
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the big challenge you is what i said before in order for that to happen
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at the large scale the platform scare you need to make it very very easy
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for any possibly tile all service provider of either therapies to whoever
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to provide a service to users in a way that they can use it in a
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natural way we don't expect everyone to know how to code up hoppers of natural language
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it isn't exactly the current over a space where stuff
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aggressive spent about a a companies are most on another that
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the operating in the space that we're trying to do so basically what we're trying to do to make it exceptionally easy
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to be on one side and understand intents
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not showing would understand vision understand the context around
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you understand user activity understand what you're trying to achieve and somehow make it accessible and easy
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to all the service providers and allow them to a provider or
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services that consider doing it in a in a regular compute that way
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but related to this u. menu why in this what we're trying to to provide that
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the the systems of scale eh em and at the moment we're still like this for me i am
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early stage of that but i don't want to to spend the next two minutes in a live demo
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because i am of what is the current
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say am state or all of the technology
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in this space so what i'm going to show you a hopefully it'll connect and everything's good is actually
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every live demo everything that they're doing you can also do on your on their computer and see what for
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and i will do them knowing that are related to weird but honestly only because i think in order to
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see like we're very careful with has you know privacy and other stuff and you need to be very accurate
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so you can uh some of the stuff that i will see i'm not the mystery had
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a square is that you can actually start means part imagine how that goes actually also to it
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how do we take the understanding that we have current in other domains with less risk
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and how can we actually change uh it evolution so let's start that's it for example or the person i want
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to know you know i i need to possibly pens work and i want to i know i'm not take you
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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
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how human would do that right so what was it that are there in
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zurich what hospitals or their rounds or can you go okay so it's about
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a okay that's university hospital in zurich have an emergency room 'cause university hospital
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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
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one one one one how them common university hospital at zero though that in
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so so it was it was actually the like to know very natural nothing really perspective
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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
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it actually differ i think they did that determine what and i think that actually knows how
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to fix in a way that our brain works exactly so no that wasn't doesn't make sense
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maybe that's what you mean and it's very good and i think that you you i love you notice
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is that actually when you do where is to begin searching to provide the entire context in the
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query this is not how we speak you know i spoke in court it's i said call them
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you know because it open what our site actually understand politics it allows people that are not technology not
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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
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seen anything they're contains aspirin abilene motoring contain ibuprofen in
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revisiting what is the difference between tylenol and ibuprofen here's
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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
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excessive but but we really wanted to take the next step
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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
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what is the movie where a french aristocrats part i the covers of an
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accident in get hand firmly that i i think from africa and they become friends
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i i i exactly the untouchables like this doesn't but but like let's even go further
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in what he's the movie with julia roberts where she has
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the sound deformed face anywhere is an astronaut mask here's a summary
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from the sound wonder tells the tailor ten year old new yorker
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august id problem so i so i think this is amazing because
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what i did here is that where you would you would actually
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that in the fourteen whatever point something billion years of the universe no
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i never did that with the before and it's like a very noise
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aquarium actually i don't think it got a bit or my word right
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and it is a lot of like you know very confusing terms that actually
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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
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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
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you know to the way people one of the channels it given his
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people are not very accurate in the way that they describe the confusion in the way
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that they describe a pain in the way the what they describe what where they're going
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so i think that this ability actually to pick
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up from is fairly noisy in really natural natural language
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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
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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
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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
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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
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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

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Conference Program

Mots de bienvenue
Sébastien Mabillard, CEO | Swiss Digital Health
7 June 2019 · 9:05 a.m.
Mots de bienvenue
Victor Fournier, Chef de Service de la santé publique | Canton du Valais
7 June 2019 · 9:09 a.m.
Mots de bienvenue
Laurent Sciboz , Directeur des instituts informatiques
7 June 2019 · 9:14 a.m.
Vidéo avec Nao
7 June 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)
7 June 2019 · 9:28 a.m.
La santé à l'ère des assistants numériques
Yariv Adan, Chef produits Google Assistant, GOOGLE (Suisse)
7 June 2019 · 9:56 a.m.
Preventive medicine at home allows health costs reduction
Guillaume Dupasquier, CEO, Domosafety
7 June 2019 · 10:29 a.m.
Introduction de la 2ème partie, Assistants @ Home
Sébastien Mabillard, CEO | Swiss Digital Health
7 June 2019 · 11:22 a.m.
How humanoid robot can be an assistant to the healthcare personnel
Thierry Perronnet, General Manager, Avatarion Technology (Switzerland)
7 June 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)
7 June 2019 · 11:54 a.m.
Aging in Place – A story of intelligent design and assistive technology
James Wyman, COO & co-founder, PILLO HEALTH (USA)
7 June 2019 · 12:14 p.m.
The Power of Clinical Curiosity
Benjamin Errett, Senior Director of Brand, FIGURE 1 (Canada)
7 June 2019 · 12:43 p.m.
Introduction à la 3ème partie: Seeds of innovation and pre-arranged meetings
Sébastien Mabillard, CEO | Swiss Digital Health
7 June 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)
7 June 2019 · 2:07 p.m.
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)
7 June 2019 · 2:29 p.m.
How do health companions change our daily lives?
Giovanni Joerger, Marketing & sales director, OFAC (Switzerland)
7 June 2019 · 2:47 p.m.
Soignez-Moi.ch: your doctor without delay
Romain Boichat, COO & co-founder, SOIGNEZ-MOI.CH (Switzerland)
7 June 2019 · 3:10 p.m.
Table ronde
7 June 2019 · 3:29 p.m.
Conclusions
Sébastien Mabillard, CEO | Swiss Digital Health
7 June 2019 · 4:24 p.m.