Embed code
Note: this content has been automatically generated.
00:00:00
s. straight on with it uh to catch a form that time we've also let me introduce
00:00:04
our panel full this session starting with fellow lots and then there's a city manager
00:00:18
hi
00:00:21
we uh
00:00:28
sure
00:00:32
while the university also overflows and well continue what all your
00:00:38
say it looks pretty thin out the the high
00:00:40
show you they'll come back often that offer the hands which is which is a good thing to say
00:00:45
thank you very much for joining us uh all four view of what i've
00:00:48
already dictated to others is to give our audience that idea of
00:00:53
where you're coming from you get one minute elevator pitch the terror you'll still closest
00:00:58
to me for one minute tell me why you're sitting in this too
00:01:03
oh i'm i'm working for the company soon to which is finished a sports watch a manufacturer
00:01:08
and uh and we've got a product called a move sense which is an open
00:01:13
a sensor platform that we are offering to other companies and developers
00:01:18
and uh and all vision is that this is a
00:01:21
it's a small device with an open a. p. i. and it could be used to measure all sports in the world
00:01:27
but as a company we had too small to to accomplish that vision so we're inviting everybody
00:01:32
to do joint board and uh that's how we see the the future where balls is
00:01:39
going to so the the theory being you great that then it doesn't
00:01:42
mean that every individual manufacture out as the great there and so
00:01:45
i exactly because our our background is in in in hardware building
00:01:50
and we know how to make waterproof died computers et cetera
00:01:53
and now we are uh making that expertise available to other companies so that it's
00:01:58
it's similar to t. mobile phones ten years ago that you've
00:02:03
when when the apps uh became or or the the eco system of of applications became a possible
00:02:10
you don't if you want to start measuring something you don't start by building all mobile phone and you do the now
00:02:17
and that's going to happen with variables as well okay it's coming uh chris uh thank you
00:02:22
very much for joining as a actress law shawl better by sports tell us right
00:02:26
um ah the co founder and c. o. database for essentially we are a builder
00:02:31
all the software platform i am that delivering services um which we would like
00:02:38
third parties to deliver um essentially we deal with the high hidden part of the um
00:02:45
performance iceberg as we call it and it is a physiology so your physiology
00:02:51
uh is something that we take for granted um ah obviously it's hidden
00:02:56
yeah and um yeah there is a super important part
00:03:00
of your performance capability and you will be
00:03:03
you know uh opportunities in your life so the way we'll we we
00:03:08
do it is boy i'm demonstrating to the it can't set platform
00:03:14
using the i. phone and e. i. phone sensors that measure your
00:03:18
exertion intensity so it's a mechanical a measurement if you want
00:03:22
uh any directly from that we derive physiological insights
00:03:26
and it might sound on a incredibly uh
00:03:31
difficult to do but uh we can get to it to that point to be later uh and
00:03:35
um uh i can't really say more that that
00:03:39
feel physiological fit let's ah it should become
00:03:43
the primary a factor that works hand in hand with other ah
00:03:49
performance and well being a attributes like nutrition try saying
00:03:54
on position techniques uh that allow humans actually to work to
00:03:58
do just better get 'cause that very much ado crystal
00:04:02
hi i'm
00:04:05
when we walk when you run and raise for much here um the way we laid down tells a lot
00:04:13
about your enhance predicting a lot of what will become
00:04:18
pilot test is a company that is developing software
00:04:23
that can capture how you move cool desert by mechanics
00:04:28
from anywhere and on your body in a watch in this phone in your hand
00:04:34
i think the headsets or devices that you bend and what do we want to do that
00:04:39
is mostly to predict how we can do things that are how we can run better
00:04:45
how we can uh will there but also i can find things like changes in your health
00:04:54
thank you very much indeed battered you come from a slightly different perspective your
00:04:57
clinical perspective yeah i i'm the alien here in this group here
00:05:02
and the medical doctor and the other than if it is that i i measure your vital signs daily
00:05:08
to keep you alive or to be able to understand what's going on where you guys sleep
00:05:12
to go through the surgeries so i am fascinated by the data generated
00:05:18
by the body and i try to understand collected and uh
00:05:22
it's trying to every citizen and pathetic session to discuss about fitness
00:05:26
health and medical because we do have a different backgrounds
00:05:29
the same needs except we have some big burton's because the data we collect
00:05:34
must be reliable and i'm also a lot of uh the the c. chief medical officer started
00:05:39
we just uh found it's designed to collect vital signs with device
00:05:44
we all have in our pockets which is called smart phone
00:05:46
can i say something i totally agree with him forms of measuring the that accurately
00:05:52
in physiology limited space is important when talk about by the mechanics i think it's equally important
00:05:59
end users with not use you words if that the that you collect are not actually
00:06:04
actress inconsistency regardless of what he's has to be uh actually it's
00:06:11
yeah good point on what our clickable some of these wearable as might be to to
00:06:14
your world all or vice versa but you've got to really interesting point christoph because
00:06:20
uh i i heard this line last night that there are more discarded where balls in the world
00:06:25
then there are people on the planet so they run out pretty quickly they they are all that out of date
00:06:31
uh obsolete very fast so that's part of the challenge but perhaps chris you could help as a first point
00:06:39
do we need to define what where blues today because it does bill is yeah changing
00:06:44
very fast we talk about implant tables already so can can you help us the
00:06:49
yeah well uh uh to clearly i think we take to you know to pray that wearable this that and
00:06:55
uh and therefore the category and we can cater to eat and and uh i think we need
00:06:59
to reflect in a store sells what either wearable and and even there you know the priority in i.
00:07:05
b. and before we are in a position to design
00:07:08
the proper wearable ah to uh understand more
00:07:14
what are the needs and it could design principles with humans
00:07:19
on on the services that we need to bring to these humans whether they are champions whether uh they are
00:07:26
people you know ah who've never moved and i would like to use for stocks you know uh
00:07:32
test technology to to start understanding of all their cat was to look at it um so i think
00:07:40
moving the agenda to words more
00:07:45
what services
00:07:48
for we check your rate data
00:07:51
will dictate what sort of wearable so we need to not the opposite and so when it comes to
00:07:57
data under the the um uh move senses looking up a gathering of huge amount of data okay
00:08:05
do you have that twenty one to work out what they want with it would i mean how
00:08:08
how well targeted will this be oh well that's uh that's exactly the point that the
00:08:13
that we we have developed far where that can measure a motion with with acceleration die roll
00:08:20
manager muir and uh and then we build an a. p. i. on top of that
00:08:24
and the device can run applications sold any developer can can be able to take the data
00:08:30
converted into something useful and that and and bring to market with dale brown mm and that's uh
00:08:37
well all these variables that are in people's uh my drawers and and from there
00:08:42
i think i think they they like ninety nine percent of them are
00:08:46
black uh plastic response that track your steps calories
00:08:52
i bought a a and that comes from because most of those companies wanted really address the large masses
00:08:58
and that and and and uh because the investment is usually quite high
00:09:03
uh but if you don't need to develop your own hardware you can
00:09:07
just concentrate on your core idea what needs to be measured
00:09:11
and implement that oh then you're much force to the market a much more flexible
00:09:17
you you can you can upgrade the functionality so it doesn't get obsolete and that
00:09:22
and in that way i i think that's like in general these platforms
00:09:27
whether it's all for service sees a date and and it takes a or hardware that's going to
00:09:33
show us that you should do you think about solar the two of you do you
00:09:37
think that that simple mechanism the really simple wearable that says yes you've done
00:09:42
seven thousand four hundred twelve steps today is no longer useful actually 'cause let's be honest the
00:09:49
last proportion of people out that part so just not doing any physical activity forgets pools
00:09:55
and that's a a very valuable educational to them we're getting hung up on all the amazing developments
00:10:01
we can reach but the basic is a really good basic it definitely is a no
00:10:07
no question about that uh it's a it's much more about uh
00:10:12
i like how to uh engage people and how to how to help them to to make
00:10:19
like the healthier and they enjoyed a lot more by being physically more active when i
00:10:26
yeah i was there i slide i respectfully disagree with our we
00:10:31
worms should be from what you're measuring the from the body
00:10:35
i think we're not i believe that the future of the where birds stands massively on
00:10:42
what we measure first have to realise the boar on what we measure
00:10:46
we need to measure whether the heart rate we need to
00:10:49
measure better results i believe we need to measure by the mechanics
00:10:54
not just at county to go in to buy new mechanics
00:10:59
based on flexibility you stability dues kinds of parties
00:11:04
once we have these pieces then we can be done that through machine
00:11:08
learning or t. v. shouldn't pigeons and then he takes or whatever
00:11:12
but i personally believe we have to push harder on the bottom line what
00:11:17
friends it's sent were doing when that that go to the next level
00:11:21
and then we can build on top of that to increase the value of what we're such review yep
00:11:26
i think we're the fascinating point because the human body is the best thing that generates
00:11:31
that that we i mean every single heartbeat every single breasts would generate data
00:11:35
and you guys are the fascinating way because you give us technically technology solution to collect
00:11:41
the real question is what are we going to do with all this that are and how are going to understand it because from my point of view
00:11:47
as an of a of a medical doctor i we have access to let's
00:11:51
say heart rates or blood pressure values which connect a specific uh
00:11:56
point of time in your life in your day interactivity and i've ever had access to value that i've never seen
00:12:02
before if i take about pressures like to weight lifter and he raises up to three hundred millimetres of mercury
00:12:08
what do i do with that kind of value because normally the whole definition of back pressure
00:12:12
if designed on taking about pressure at your doctor's office after five minutes being rested
00:12:17
so what's the true value of all these that that that is something generated by the human body okay
00:12:24
but how what's the relationship to the fitness to the health worked with these
00:12:29
would need the whole way to think differently about that that degenerated
00:12:34
yeah i cannot to to to what you guys are said here
00:12:38
what we're talking about is older prairie t. i. and it
00:12:41
in um in this transformation so we are all together just amending
00:12:45
basically we witnessing a bought fifteen years already of efforts
00:12:50
i'm coming from voiced part is uh from tiny innovators too
00:12:57
large organisations like apple um in if you if you look at where we are today
00:13:04
ah after fifteen years we don't wanna waste another fifty years we really need to go back to you um
00:13:12
basic principles and for that matter i agree with you christoph trick is um indication critical
00:13:19
we need to educate not only it is easy to say i
00:13:23
need to educate masses i needed educate consumers it's done right
00:13:27
it's not me but i tell you the truth if we don't a ticket ourselves within the industry
00:13:34
but but christoph wants to education educated a much higher level object to that that that that doable
00:13:40
but i insist on one thing is that as they as they powerful industry costs them
00:13:45
which consists of a digital circle which consist of a sport circle which consist
00:13:51
of the health circle if we don't come together in a similar
00:13:54
way cause we say it all in the initial stages of the full
00:13:59
where we've seen the creation of working groups and really standards eventually
00:14:04
um that really shape dedication within industry is very unlikely that we can educate consumers
00:14:10
so we yeah we need to get first you that first that to define the base
00:14:14
it uh i give you would open uprising what we do but uh oh
00:14:19
you know what last night on the heart rate when you say heartbreak it's one example heart rate that
00:14:24
uh is um symptomatic all hugely stipend hop right is critical
00:14:29
um you know to measure into a particular uh assets
00:14:35
you know someone's um ah situation in whether you
00:14:41
know there is a a cardiovascular problem
00:14:43
and any third person is ease up and healthy you'll need to
00:14:48
actually is you know monitor out you know the heart rate
00:14:51
but for l. c. subject hot right other measurement in movement
00:14:57
it's very limited it's a delayed response to your muscular needs so
00:15:01
it's a delayed response and also ah it's potentially limited
00:15:05
to only twenty percent of your total muscular potential so you still have eighty percent of muscular potential to work on
00:15:12
in your heart rate is already kept that at maximum level it's it's just a tiny example
00:15:16
but um well yeah essentially uh uh if we don't get
00:15:20
into these subjects one by one uh in working groups
00:15:24
uh we won't be able to help a a terrible uh because you know was very much about
00:15:30
sports and health of them um which is great patrick that's probably all i inference from
00:15:35
the foreign that i i if you push a bit further your the way of thinking is
00:15:39
everybody's trying to get the device which is able to measure one two three thing
00:15:43
i think the magic is putting everything together and tearing it to the individual because my heart beat might be seventy
00:15:49
which might be fine for me but for you if you're high level that late seventies much too high
00:15:54
so it needs to go down to the user and then so make a
00:15:57
connection of all the data that is generated by different signals and integrated
00:16:02
and i think that number have no value would not very high value the thing that has a value is
00:16:07
how to do things change depending on what you're doing because my heartbeat might be a very high or low depending on what i'm
00:16:14
doing which might be perfectly fine or which might be is fine but it's not only the heartbreak it's hard parade swept
00:16:20
not pressure blah blah blah blah and this is the magic but i think what we see
00:16:24
from the doctor point of view all the fact of the wise they're very good
00:16:28
but they're always fearing one thing or two or
00:16:30
three are great and movements and counting steps
00:16:35
about putting everything together and giving out an index you're good you're not good
00:16:39
you getting worse et cetera uh this is much more interesting i think
00:16:43
yeah i i hope so to how far how close are you to providing that are well uh
00:16:49
i think uh from uh from beta perspective uh measuring all that is already possible and uh and
00:16:57
like but but if if you just give steps or hard right or or some more advanced values they are just numbers
00:17:04
unless the user really knows what to do with them and that's
00:17:07
where uh i i think the current where balls uh
00:17:12
or the products on the market how i'm not don't really great job yet uh uh that these
00:17:18
these routes should be converted into recommendations and what to do and how did you and uh
00:17:23
whether it's by mechanics if it's about running style it doesn't help uh to
00:17:29
to tell runner that you should take a one is steps
00:17:32
in foster a frequency and then you are a better
00:17:36
runner because you can't do that if you don't train in the right way and uh and and then
00:17:42
so taking those conclusions into recommendations and that's where we need a lot of analogy
00:17:47
aches and uh and i a. r. i. n. or all these these
00:17:53
tools that that rocky the computers all's offering so we really need to combine all all that
00:17:58
to get into useful so it's 'cause of yeah actually have a very good example
00:18:03
you guys hear about um a study that was done
00:18:06
twenty eleven pennsylvania university thirty four thousand people
00:18:12
involved over fifteen years and the study was about trying to
00:18:17
measure the impact of walking speeds over life expectancy
00:18:23
and the conclusion of the study was to see the matrix of walking speeds
00:18:28
defines when you dine with putting a few words very scary scary but this sounds for
00:18:35
if the questions and the points that from a quite a bit of foreign
00:18:38
i think i think the matrix once you know the impact it has on my life
00:18:43
i use it not the chances with match with things that you don't understand or
00:18:49
you have the that and you don't know what to do with it
00:18:52
and as they get friday point i want to magic effect when i use my watch
00:18:58
i want something that tells me if you want to run the marathon in less than three hours
00:19:03
that's kind should run it if you want to survive this weekend of
00:19:07
party that's how it should do it but to the magic
00:19:12
i think means again getting the data that on top of that really finding out
00:19:18
what is the use you make out of it so it's desirable for me as an end users
00:19:23
and that's where i see the reviewed sure we're rubbers when
00:19:26
combined bills aspect of what is feasible what people want
00:19:31
and then the matching good comes out of both of them being combined but that twenty eleven example is still a
00:19:38
good example all deduction isn't it from day to rather than what your talking that ultimately the future is
00:19:45
everything is this buck everything is down to their needs for
00:19:48
every individual and and how far away is that
00:19:52
yes uh well uh i i i think it's terrific example that
00:19:56
lead us to individual like they should we all different
00:19:59
my is going to be different than it was in the therefore ah my uh buying pattern
00:20:05
of an object over server it's uh it's gonna highly depend on
00:20:09
my knees and my objectives so that's where you know
00:20:14
i encourage you to um you know to track off you know what this panel you know individuals
00:20:20
are doing and what they've different companies are doing a a and the bigger consistent because
00:20:27
if we come together the powerful force trying to understand that ah and we
00:20:31
have our own angle uh that's a bit about for a has
00:20:36
develop a solution that is really trying to extract lot small farm
00:20:45
something that you've heard of subtle a few underwent a cardiovascular a test
00:20:51
and you didn't exercise stress test all feel to test some someone call it or
00:20:56
if nobody told you asked you what is your v. o. two max
00:21:00
well we try to extract as much as we can't from the
00:21:04
journey to your v. o. two max you know what
00:21:07
are the muscular metabolic changes that occur you know when you
00:21:11
go under increased stress and that's that's asked so
00:21:17
if effectively innovation our innovation in our company stands from from these
00:21:22
existing building blocks you know when the fission no than
00:21:26
what is more difficult is that the society at large ha ha that's really
00:21:32
design a work flow for the consumer to comprehend understand this thing
00:21:38
hynek the slightest that's alright you know is something that might be popular in norway or
00:21:43
you know netherlands some expenses within and but in the u. s. for instance
00:21:48
which supposedly whether or just you know business you know market the well
00:21:52
ah they they don't know that you know it's too expensive anyway you know ah health is broken over there
00:21:58
health care is broken sort uh and and therefore it's very difficult for them to come for and what we talk about that
00:22:04
uh so just an example but i think that
00:22:09
other doctor i'm frustrated because there is a missing link because i've fascinating people patients to come with him to
00:22:15
me and they say you know what i'm a very active i have fit both blah blah blah
00:22:18
look i show you all my monitoring devices i showed your that i've collected and then
00:22:23
i go back to the simple question how do you know this is true
00:22:27
how do you know the value your data you share with me because you collected over the last five years
00:22:32
it actually accurate and this is the missing link and things and as long
00:22:36
as we haven't read a result that big issue that that's fantastic
00:22:41
but we can give more part that that say if it's actually accurate so in terms of people assessing the round holes
00:22:47
on the basis of a wearable today are you saying as a
00:22:50
clinician i'd soon you didn't do that actually it's like doodling
00:22:54
era no i looked at that and a different way i don't look at the numbers i look at the trends
00:23:01
because if there is a mistake it might be always always the same mistakes so we look at the evolution device you guard rate goes
00:23:07
up up up up of the last two years i would say there's something going on i don't look at the real numbers
00:23:11
but if we could have access to the numbers because we do have patients we'd have access yeah we just need to work on the accuracy
00:23:18
of course it's a challenging thing because the guy was running around running around in my reading room the
00:23:23
guys asleep is asleep so it doesn't move so it's a different thing but still i think technologies
00:23:28
out there and it should be in and you probably you are right i able to measure that sign
00:23:33
reliable nectar way not to the point of christophe and patrick that all of us here think
00:23:39
and david we need to get into ah at some time you know when
00:23:43
we have a deeper trinity the discussion of oversimplification and you know um
00:23:49
simplifying and given to keep things simple and looking at u. x. you know as a as a
00:23:55
as the s. u. x. needs to be simple for adoption and so forth isn't important idea
00:23:59
that oversimplification ease actually even worse to agree with that
00:24:04
this is not any more possibilities yeah oh is it the worst if it encourages
00:24:09
people who do nothing to start doing something 'cause they've got a way of monitoring something that's a good thing
00:24:15
except when effective for me 'cause i wanna jump on this one up my test is started with the business of running
00:24:23
and we thought a region that would be enough to give people basic parameters from a watch and
00:24:29
then part of our customers or certain advanced funders those guys won't accept anything that is not
00:24:36
with the precision of the sent to devices so one thing we have
00:24:39
to do is develop a prior infrastructure for defining the good standard
00:24:45
over measures and say the actress of everything we do with within this range
00:24:50
because relies that if we don't get the proves and the advanced kinds in the
00:24:55
market the one speaker would look at us yeah but you guys to fish
00:25:00
even if what you do is very good comfort to the complexity and that's
00:25:03
what that's what i believe accuracy is not just a random words
00:25:07
is what is the good standard you define for you measures so much blood pressure when
00:25:13
his heart rate once by me can expect to it but what the all
00:25:16
of the ball don't all across the us is just a little comment here or
00:25:20
about also but users ability to interpret data i was once a running uh
00:25:27
running under four hundred meter attracted some intervals there and then there was some
00:25:30
other people as well and they did thousand meter intervals mail is stopped
00:25:36
like fifty meters before the finish line nine hundred fifty only
00:25:42
and they had their g. p. s. watches that said what that was thousand meters and they believed
00:25:47
rather that technology on the reached done the markings on the track which happened where i guess
00:25:54
up to one centimetre acrid or maybe even one millimetre interesting and
00:25:59
that and and so the diseases that a a if
00:26:03
the devices that we develop our giving crap data uh_huh and people are going to be
00:26:08
nice for that and and maybe doing probably wrong things or maybe dangerous things even if if if they
00:26:14
it's a a a cost and from what i usually so should i send this back having just got shiny gadget
00:26:21
'cause then i think it's still these these sort of the data was still not accurate well it yeah
00:26:28
they data that it's it's possible that the data is accurate
00:26:33
and in in in many cases e. d.s but the users don't
00:26:38
necessarily have the ability to assess whether e. d.s yeah
00:26:43
you know one one one thing that that that doesn't exist a likely yeah very quick you know you have this device you just bought it
00:26:49
these companies that does it all these devices i think they should seek more
00:26:54
feedback lots more than they they already do to some extent but
00:26:59
i think for feedback from users um whether they understood or they make sense
00:27:03
of of the things that the use it's not quite there yet
00:27:07
so it's it's the the consumer should be driving the product formal them but it's got a
00:27:10
bit more people but yeah i i would i would uh i agree with that
00:27:15
and also we speak a lot about sport in health tuesdays i think we need to think bigger
00:27:21
we think we need to think about how can we need better one of this features that can had tested
00:27:27
in the end the split into would see what issues that the best for me over the summer
00:27:32
it's not just about if it's not just about sport is really about i want
00:27:37
those gadgets to create a magical experience which means me in general chip
00:27:43
um right we've got a few minutes um i've got the cute and any hands coming up for questions for our panelists
00:27:50
i see any hands up
00:27:53
i think the source also at the moment is no
00:27:56
jobs out of your ask a question just begin to to market so that the message i'm
00:28:00
getting at the moment is if we're living in a sort of world of wearable scales
00:28:05
um everyone's out doing their own thing in their own way hoping that maybe that's the gold and
00:28:09
not it's the one that's gonna be there really in the the the biscuits
00:28:13
your building something which you i would be more uniform universally applicable platform
00:28:19
let me tell you patrick how much more valuable would that be that having this past
00:28:25
the re put some bulbs which are tailored for different things to different people ah
00:28:30
i mean you all know that uh if you talk about blood pressure there is one thing you
00:28:33
should never do is take about pressure to doctor's office because we all know it's too high
00:28:38
so this is why we say go on take about pressure the home and tell us how
00:28:41
it is another doctor when you come to me before you get put to sleep
00:28:46
i would say the same thing okay i have some vital signs in front of me that i want to know your real vital signs
00:28:52
and this is all the thing you guys can collect at home with your on monitoring
00:28:55
devices but still hot the dream for us would be give us access to data
00:29:02
which is true which is accurate and then we can work on that and increase your health
00:29:08
stuff yeah i would say more current data quality that actually yeah i'm personalisation of
00:29:15
these the them using different types of analytical techniques including machinery not efficient religions
00:29:22
and make it useful for the user because that's where we want yeah that that
00:29:26
seems to be the key is no it's it's all the itself is just
00:29:30
a machine uh to it so so one element that is worth watching i think and my my actually mean
00:29:35
more good surprise and maybe we have a positive note
00:29:38
on this um voice assisted in all uh devices
00:29:43
with more more you you know you see that you know that the the big company that i met on apple you know microsoft will
00:29:50
his voice assistance right then um and i think it's an interesting thing it when it comes together with
00:29:56
the device even if the device is not perfect i live will start getting into communication moat
00:30:02
so watch out for this voice activated uh you know i think it's pretty cool
00:30:07
well when is that gonna be commonplace today it's coming it's just i mean if you think about you know see really or
00:30:12
for apple or for you to the the corpora or or or did we will uh you know whatever you're working on
00:30:19
um it's coming and you know when you see alliances between fit it will go and added as
00:30:24
if you're not gonna stay idle they're gonna do something so again it's the sort of the personalisation of these of wearable so
00:30:30
if you go to your training you're being a coward yeah i'll keep a gay key bigger your your at the place
00:30:36
but but it's true rating communication between the whole
00:30:40
deck will you know hard to understand
00:30:43
and and my life you know like you say you know what's going on you
00:30:46
know or uh in your eye and if we can trade that communication vehicle
00:30:52
where we deal no longer with with c. here
00:30:56
you know healthcare sport which is a vector
00:31:00
a confused often you know because you know it's either of you know a
00:31:03
competition or not competition but we deal like you know it's like thought
00:31:08
and i concur to report you know it's like but uh to make if we don't communicate
00:31:13
we won't get there so i i'm very positive on the strand of having
00:31:16
voice activated the uh devices yeah i hope you work on it
00:31:20
well actually as a company we won't develop uh was uh assistance system because
00:31:27
these big companies already do that and offer that to to anybody else so that's uh that's
00:31:32
actually where i think yeah that the big a change it is happening now that
00:31:38
uh so far companies morris had to master everything by themselves and it was
00:31:43
always a big big big investment to to come up with something useful
00:31:47
and now you can't really the pieces from different places platforms like our hardware
00:31:53
a wise activation your uh your data and then it takes and had if
00:31:59
you have a great idea and concept that you know is useful
00:32:03
and uh and then you can really focus on just implementing daft useful part to to get used to the consumer
00:32:10
using bits and pieces that exist on the market and and that's going to wal worth the investment
00:32:17
dramatically and open the way to new solutions i mean you've given as an example of
00:32:22
a product that you're working on which which so does offer that uniformity but
00:32:27
can i just ask you this is a a big company at cutting edge of of much what we talk about it
00:32:33
do you feel now that you know your longterm trajectory on wearable something's
00:32:39
or is it still like what we talk about here today come back in india one another landscape
00:32:45
well i i would say at at student or uh we
00:32:49
know our trajectory in watches that we've been doing
00:32:53
for for a while like next year oh too but on the other where balls and and maybe
00:33:01
measurement integrated into sports check with afro et cetera that's that's all
00:33:07
open and and exciting and up in the end yeah okay look we run
00:33:12
out of time thank you so much for that once again again
00:33:15
so much ground to cover and we get through a portion of it
00:33:19
but an l. l. c. once again please express your appreciation
00:33:22
to our panel on wearable some data thank you very much for the effective i sort of like david

Share this talk: 


Conference program

Welcome Words by David Eades
David Eades
15 May 2018 · 9:06 a.m.
Welcome Words by Philippe Leuba
Phillipe Leuba, Chef du Département de l'Economie et du Sport
15 May 2018 · 9:08 a.m.
Welcome Words by Grégoire Junod
Grégoire Junod
15 May 2018 · 9:13 a.m.
Welcome Words by Benoit Mariani
Benoit Mariani
15 May 2018 · 9:15 a.m.
Hacking the Future
Andy Walshe
15 May 2018 · 9:25 a.m.
Talkback Session: Smart Venues, Moderated by David Eades
Daniel Marion, John Rhodes, Claire Lewis
15 May 2018 · 10:18 a.m.
Talkback Session: Wearables and Data, Moderated by David Eades
Terho Lahtinen, Jean-Christophe Longchampt, Christophe Ramstein, Patrick Schoettker
15 May 2018 · 11:04 a.m.
Talkback Session: Fans and Data, Moderated by Rebecca Hopkins
Horesh Ben Shitrit, Pete Burns, David Lampitt, Clemens Schnellert
15 May 2018 · 11:46 a.m.
Interviews, Moderated by David Eades
Stéphane Guerry, Joey Tan, Olivier Glauser, Albert Mundet
15 May 2018 · 1:45 p.m.
Talkback Session: Machine Learning and AI, Moderated by Jay Stuart
Nicolas Chapart, Nicolas Déal, Johan Vounckx, Mehrsan Javan
15 May 2018 · 2:37 p.m.
Speech
Jochen Färber
15 May 2018 · 3:14 p.m.
Talkback Session: NextGen Video & Engagement, Moderated by Nicolas Henchoz
Christoph Heimes, Spencer Nolan, Pedro Presa, Alexandra Willis
15 May 2018 · 3:30 p.m.
Interview on Security
Earl Crane
15 May 2018 · 4:08 p.m.
Talkback Session: Cyber security and Digital Security, Moderated by Sébastien Kulling
Dang Duy, Thomas Shorrock, Jean-Pierre Hubaux, Simon Trudelle
15 May 2018 · 4:19 p.m.
Introduction of Day 2
David Eades
16 May 2018 · 9:35 a.m.
Social Business and Sport
Muhammad Yunus
16 May 2018 · 9:38 a.m.
Talkback Session: Designer Bodies - Yes or No? Moderated by David Eades
Roland Sigrist, Vincent Gremeaux, Carlos Canto Alvarez, Véronique Lugrin
16 May 2018 · 10:27 a.m.
Talkback Session: Designing for the Future, Moderated by Jay Stuart
Ali Russell, Emilio Risques, Véronique Michaud, Thilo Alex Brunner
16 May 2018 · 11:08 a.m.
Talkback Session: Protection through Innovation, Moderated by Mike Miller
Liam Mc Tiernan, Laurent Mekies, Eric Nauman, Martial Saugy, Mathieu Saubade
16 May 2018 · 12:04 p.m.
From Racing to the Road
Laurent Mekies
16 May 2018 · 1:32 p.m.
Talkback Session: Understanding the eSports Ecosystem, Moderated by Jay Stuart
Brent Barry, Anna Baumann, Julien Delalande, Michael Journot, Carlos "ocelote" Rodriguez Santiago
16 May 2018 · 2:05 p.m.
Talkback Session: What's next in eSports? Moderated by Lars Stegelmann
Brett Abarbanel, Stefan Kuerten, Jan Pommer, Federico Winer
16 May 2018 · 3:05 p.m.
Closing Words
David Eades
16 May 2018 · 4:06 p.m.

Recommended talks

Q&A - Ghosts as technological phenomena
Natalie Kane, C&P Officer at FutureEverything and researcher at Changeist
12 Feb. 2016 · 5:11 p.m.