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as a but i am not that crazy just people off the um it's a real
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pleasure uh to be here today to share with the summer and so it's uh
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i must think enter the spot thing for the opportunity he touches some the stuff would be looking out of the last few years
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and most importantly i think ah listen learn from you as a
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community because this is doable communities of experts across human factors
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you know the space we we're trying to understand what it takes to be exceptional what you do these communities that really the sharing between these can use
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really elevate everybody so you could hear a little bit from us today but we're more interesting listening to use the uh the next couple days
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uh we live in extraordinary times i don't think that's an understatement by any means and with respect
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to human factors i always like to reference the diagram beyond this from the sheer fact that
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for the last three hundred four hundred thousand is this sort of process of growth and
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development and it sort of re framing what humans cable of has happened organically
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but i think most of you will agree things to the staggering influx
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of technologies to look at understand what it takes to be exceptional
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and the machines are i but no aggregate that died around those
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systems and data sets to make meeting from all that information
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for the first time in history humans are in a position to modify the progression of development
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where i think we call in yeah well the evolution of evolution
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the notion that to die with the understanding of what it takes to evolving growing up the
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sun to reach the full capacity and the means by which we can achieve that
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we're gonna try to get trajectory probably unknown to us right now but never before seen
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in history i'll want to reflect on that as we go through this presentation
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i wanna make it very clear i get to share with you some ideas and concepts
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that represent the team i work with directly so there's uh if you could either
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way you're gonna show what i hear the die but they're in the room out the back make sure you read these guys a wealth of experience in this place
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but more importantly i have the opportunity to reflect upon our community and the work i share with you
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to die is a example the hard if it's ever be isn't a passionate commitment understating the space
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i'm just the messenger is uh well i'll make a little bit of fun one flew megabit enjoyable for you
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um and ultimately hopefully some of this stuff will think a spark you to think a little bit differently
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bet y'all will i maybe again sort of start to share much just fills in a different way
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i want to reflect on sort of a little bit of the the background of where this is all coming from and i use
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this model that demonstrates sort of how we tried aggregate all this information if i think about the community we uh represent
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yes borders being domineering for most the marker in most of the information that we ship to the
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to die you know i had the fortune of the use of working with exposed professional sports
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and rebel i had ever thousand athletes yeah hundred sixty seven different sports
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program so we just got to see so many exceptional people
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in the sporting room a lot then we added in several thousand musicians are just design that's
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people pushing the credit boundaries and then more recently people like uh you
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split attack isn't it groups like this so all this information
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we had a triangle guy to make sense of so what you see beyond us up the on is a conceptual model
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it was a way for us to just say hi given all this
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talent hacking we aggregate information or what it takes to be exceptional
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that's a generic model doesn't make much sense when you just think about in context of the specific serviceable
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but these models got very precise when it came down to save one program where you thinking about all
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the different pieces together the sixes on that stage of it i just dresses as a bit
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of an example fully show how we were thinking about human factors as and specialise it before this
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so the next era i think you can go to recognise no one disagrees the skills critical
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that help us a manifest impacted study using user training develop
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that skill certain parent to the level of mastery
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the physiological physical side of things the by physical sort of things all the
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measurements and tools and techniques we developed i've used understand that space
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and medical nutritional what stuff i think is powerful the still a lot of work to be done
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but on a relative scale i think we've managed to a job along that curve pretty well
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what really got a sick so i didn't of sort of last five ten years
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with the other side of the curve the we start thinking about life skills
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compassion empathy courage we think about creativity the best in the world
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by definition redefine that sport was all or even in athletics
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feeling attenuated do you start in a hundred meters of
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figuring out a new way to defend against a very competitive opponent these are inherently type yeah creative capabilities
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and even spirituality we anchored ourselves in for many years for us it wasn't about the religion it was a bat
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what we stool with them very very top only performers with this notion of but they still
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to something bigger than themselves are ways espousing to be more than who they were
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and so through us and want to share with you did as a little bit of an example for bus side i wanna
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start with that side where we look at creatively structurally life skills because we call that measuring what can't be measured
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and relatively speaking i thought i'd we found every use their work focus more heavily on that
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space because of the opportunity that revolve it's not quite affordable it's hard to measure
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so i've inherently it's very difficult to start to develop the training upright programs that we needed
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to do to take the very top people they filled up to that next level
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so the set aside have a little bit of fun i'll show you quickly
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this is part of my problem all that with this notion of us we recognise it
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really tell in many of the field has the physical capabilities has the skill
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probably doesn't in in particular cases the pact isn't preparations will fall through
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but what we really got interested in with those moments in time when the decision points where it high stakes is high risk
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we no matter how feel strong you are or how well you didn't offer that breakfast that morning
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it all went out the window unless you could execute at that critical moment on
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when everything was on the line in the world is watching so we just check this one out for little example domain
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oh
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oh
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oh
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huh
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or
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oh
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what i mean having created
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our our
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ah
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or
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ah
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a little more
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ah yeah i mean you might write the city so i love this
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stuff because it shows us what people are capable of achieving
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i really shuts up and all stuff person to serve capability better understanding about this stuff is really very fundamental
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all the scientists and all the students in the room with all this data recognise this curve
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but fundamentally this is what we're trying to adapt in trying to in these cases
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but as i said earlier it's not highly quantifiable set training methods which i'll share with you next few minutes sort of match that state
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obviously having everyone recognises that when you're not far up enough you not excited
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enough performance is not of the thought of that as haas level
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it's the role the coach in this particular case to come along give that positive and not give a bit of a push a bit of a job
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it's also the role of the coach when things get too stressful when that person's too far out when they too anxious
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catches that quite soft wood in a potentially bring that person back reset doesn't get some to
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take if you press the wind up obviously back in the middle where we wanna be
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yeah the challenge with trying to be in the middle here's that's not even optimal into
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the training we need to do to get mixed results like when you saw previously
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we need to start to make sure we're right on the very edge where we push that
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person just past the point of fire since i've been away at the body adapts to
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brain adapts the whole system counter x. and they develop the capabilities and tools to manage
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themselves and that's tight when we do that we allow the person to shift happy
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i think this is fundamental but i just want a referral but this is the basic mechanism we're trying to
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my match to and trying to with respect to the training in preparation of the stop the performance
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so i said oh yeah one of the biggest tools is getting a person to understand
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at the very top of the guy who they are what they stand for
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what's important to them
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we have a fundamental saying better who you are been better watch you do
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in the late frameworks when we're doing straddles for example i don't have any you you
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from the with that program but felix at a couple challenges along the way
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it was anchoring in cell phone back to that basic fundamental premise of what he stood for suppose
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have we wanted to tell the stories in the future that really restating self allowed himself to re frame that training
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so no matter what else you think about to die understanding who you are what you stand
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for the bank at which all these other high level high risk performances take place
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but fundamentally we need every frame equation as well while the basic premise as we
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do with that training is teaching the people debris frame that for it
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as a challenge if you woke up to any situation rennie challenge in front of you where you feel
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like you don't have the skills settle the physical make up to step up to the plate
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it's very easy to think of that as a as a threat as soon as you do in that particular case
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the flight or fight since complex obviously takes in you start to not on but you
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don't before the hot opportunity you have and then obviously the degree comes there
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so getting a person just as a simple set understating who they are they re framing whatever they put out about to do
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we not only gonna make a mistake but when i make a mistake it's an opportunity learn that's a fundamental permissible at training
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but we can sit and talk about all die we need actually put it
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in the practised the same another number one fee for most americans
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no one fee for most americans i think it's global as well as public speaking
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the public speaking we took that we spotted up with their friends it's a
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decisive this taken a developer training evolution we put that on steroids
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so in this particular case uh well class team of athletes and
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young entrepreneurs are being brought up on stage to expose themselves
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and why that they've never done before and this is what it looks like he's this let's exact strings lasting thing fine
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like works fine you place in finding more triggers that emotion
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and just push and push and push and then huh huh
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no one of a problem ruling on learning drawn are showing
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emotions law when her iranian job wiener on screen ah
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all these ah and in in all these different things are falling that to me was why for our
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i will
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okay
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any at least five
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and that's interesting
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the kinetic an example is well class is one of the best in the world a big wave surfing and he felt
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that challenge the to be far more difficult any of the times is better than the biggest waves in the well
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not to say that they're not doing the physical stuff not to say they're not doing that that the
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coach in the traditional training but the idea of bringing them up and into a place where
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they've had no experience pushes into the far right of that curve allows us to give them the
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tools to practised to bring themselves back their assessment versus assumption is another trick we use
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in a lot it's a historically sort of evolutionary challenge at most humans have is
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in absence of information they fill in the blanks with worst case scenario
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so you should know worst and in any of these athletic endeavour sit with
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training full we're trying to get the athlete to step back from
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that assumption and start to take a basic assessment so every frame the threat is a chair at the channel for it as a challenge
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then move into us position where they can then look at the information around
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and take a mobile what's critical and make a decision versus just responding
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to do that we have some other interesting training evolution this particular case
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we've asked them to step up to a box full of snakes in you'll see the
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rest of the evolution come for him ross he is not all that bad
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you range you on many many case
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getting ready
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in new
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why
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yeah
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mm slow movements
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yeah
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anyone hasn't
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when i'm leaning down or handing handing
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handing while i was wrong
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mm i am handles name no nimrod
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only animals here in town
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owing coming in
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on one one room
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and again in the read write you the wall class travel lee we can get a tool box seventy running
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outside everest but we just have a standing the we put a situation way she's jump to assumption
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yeah she's come in she says nike things death if you walk in the quietly was the fundamental assessment
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you could make number one we can't hurt them can we were not allowed to yeah bottle
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two if you paid attention and you look carefully should say that obviously there'll
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by was gonna stand device isolated actually by the three you could
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even see if you pay close enough attention around them out there was
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a loss elastic band full sun for not being the map
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so you can see how these training revolutions are designed to bring them to a place where they
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never been before it courses that flight or fight response and i have to navigate back
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and this is about as good as we get this stuff because as i say that's very hard core for very hard to measure
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but it does work it's affective and it's really powerful i'll show you why when we get through this phase where we've
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gone through understanding really giving them a grounding affecting what they stand for every frame the for it as a challenge
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we've told them to take strike of the information around them and pay attention to the right information
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we end up in a situation where we get a response this is a
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reaction and the fundamental difference here is i reaction has no direction
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you're presented with the challenger when motion steak i ever knew just do whatever yeah the first age of them on
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i responses calculated and use you towards the goal appropriate manner
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of course we have a lot of fun with this and we want also great experiences for this talent already number one or two in the world
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to connect to this idea and never forget it so this particular next evolution by being for a whole week of this type of training
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i've been through a bunch of revolutions the look that different aspects of this framework and
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this is the final day whether seeing them were in montana or in the woods
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and we will uh basically giving them the world's worst lecture on hydration any you can see the
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start of the other all border their brains i love the video speak to the rest
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because i don't know the olympics i i've always been one anywhere away give uh
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so we could train the better do this at a yeah fine from here
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yeah i think it
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that's the look where after all
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ooh e. e. c. a.
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oh and of course i never forget the experience because it was a lot of time
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to get that close to a fifteen hundred pen grizzly for eight years so
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these id is we had to start to get creative we had to start to think
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differently that had a trade in this place 'cause there's no road map for us
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one of the things we really recognise at the end of the day no matter how much work we did with these type of well class talent
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is that humility was a key performance factor for the very best about humility in me in that
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i don't wanna be best in the world what they did they very driven they're very passionate they love what they do
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but he really in the context that they're always paying attention whenever
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she knew too much and they're always read a little more
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and it it was amazing to me how great across the spectrum of tell whistle that this characteristic
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start showing through over and over again but have you tried it would be the question
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we didn't quite figure that out but we saw examples when people kind of got a little ahead of
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themselves in this next particular video you'll see a j. t. homes being they'll now all i got
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he already done a successful job speed based off the side of this cliff but this was he decided because you've done it once
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that he was good to go a second time i would say he wasn't being humble but just maybe hadn't
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quite small through that as quickly lose you should so this is what happened on the second the tent
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a star on great
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and one overs little man i grabbed
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her nice in one year
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i see one ski oh but i don't see us that he couldn't
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johnson one of his key works he's got stuff doesn't that's fine that's kinda not come off with that
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yet about a two seconds maybe where you couldn't get off you know i'm i'm turned on this but the
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inside your hearts like our fourth march thankfully he was
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able to get caught him and stuff and
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for our shooting voted for it yeah
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so the idea of all these examples of just giving this morning is to show the show
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hell we've been trying to think about that side of the equation with a we don't have good technical capability
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would have technology to measure what we try to look at we don't have a great deal of
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a road map in front of us to show what's been done before the space
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but this stuff does working before the sciences freak at lead me to die
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we do a staggering amount of work in the background just to look at what's really happening he
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this is a us hierarchical correlation plot of all the parameters for my
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soccer metric examples and that by physiology examples which are not
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collect as much information as we potentially can around the people on
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the go in these types of training to understand what's happening
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it works we now works because the more we do it the better they get that and most
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successful there on this ball with respect to the performance but we don't understand the underlying mechanisms
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so there's been work i we use in use by ourselves and other groups trying
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to pass this stuff out but we still haven't really cracked into the car
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when we've even look at realise how powerful measurements functionally mar i have these
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the athletes and and business people going through these training of allusions
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we even see after right dies of the brain actually changes structure and
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function as a consequence of this type of training in the asian
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we always hidden side that experience was all once a lifetime or maybe even
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change my life but we've never been out actually look at it
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yeah this is not to say the status by any means conclusive at this point but it shows that it does have an impact
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an exciting thing about where we are today is we now have some tools and swedes of tools to look at
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the things that previously were just left out the the the sort of atlas in the environment the starter
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so what i wanna say where a little bit more what we're looking at with respect
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to the real silence of some of the evolution that we've we've been talking about
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jump to the next slide the oh so fundamentally the biggest question i think
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that's still out there inch in terms of human factors which are and
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so when we're looking at working day to day with this type of talent is really getting a hot in a direct measurement of state
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how was that person when i woke up to you on like even dial that same
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when they woke up due on that given day hell i operating then in the
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if we know where they are on that curve from a psycho physiological perspective if we know
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from uh uh by physiological space you have fatigue i have prepared they are ready there
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we can then adjust their training would deliver training of allusions in
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such a way that has the greatest impact on those individuals
00:23:03
so this is still holy grail of what's what's remains to be answered
00:23:07
but thankfully as i said earlier the technology starting to get a
00:23:10
well the interesting ones we've been looking at this time size is anyone from the with some size lab in stanford
00:23:17
well this is summarised his work it's been a pretty powerful uh i
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progression the last couple years but he has a basically molecular level
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uh assessment tool now that in the market leader block and look at two hundred to three
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hundred different parameters with that degree of like your accuracy that's on on the it off
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is work pioneering as it is is being designed to look at pathogens
00:23:39
in design any anybody's for pathogens in in in in medicine but
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he's yeah start to think about how this could pertain applied to performance so you could take the classical bark test
00:23:50
that we've been doing for years and now to get a degree fidelity that's on the other this place
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he's one of them doesn't lead looking at this high in high level but apple analysis
00:24:03
the group from course there have been looking at our nutritional prior falling to use and
00:24:07
i have a level of precision with the understanding of had a look at somebody's
00:24:12
blob properties with respect to the nutrition dot that's unheard of with respect to what
00:24:16
we are but there's ten fifteen years ago when this test was originally developed
00:24:20
for nasa to look at today's stress it astronauts with a hundred and ten thousand the text
00:24:28
you can now get it done for thousandth that is and you can see the specific the
00:24:32
specific example we can get uh dances things like in the in the citric acid cycle
00:24:37
looking at buildup of certain compelled to reflect about nutrient deficiency in that particular person we
00:24:42
can precisely target that with them again still very early days in this stuff
00:24:47
that shows us the capability with respect to where we worked five
00:24:50
ten years ago i was nearly falling forward and expenditure right
00:24:55
so i can metrics i was always a bit of a critique of this yeah the q. would i sell for port
00:25:01
sort of idea of how to allies a person's psycho social behaviour psycho social well being
00:25:07
the last the user the option to spend time with people in the intelligence
00:25:12
community who are recruiting and looking at very specific types of individuals
00:25:17
to be recruited into these agencies to then go off and do sort of security intelligence work
00:25:22
and i have hyper fairly powerful said soccer metric tools
00:25:27
i tell you what you sit down with one of these individuals there's no hiding i pass your part pretty
00:25:32
quickly and carefully and again interesting enough what's the number one characterisation they looking for with respect to selection
00:25:40
a person's character
00:25:43
back to the softest thought of those equations are not interested in what you can and cannot do they expect you've
00:25:48
have that capability otherwise you would be in the room but they really trying
00:25:51
to pass the other what makes up that individual probably why you perspective
00:25:56
'cause if that's implies everything else can be built trying to paul what's interesting here is these uh but it's based on the
00:26:02
cost in the wall what they do big bounce again but i couldn't be more different with respect to the profiling
00:26:10
and they show just another train which were i think you're all very aware of is the precision performance construct
00:26:15
where where the point on their way it's feasible to actually look at an individual is too they um what they stand for from even that
00:26:22
soccer physiological perspective and target them very specifically with respect to what they need
00:26:29
some great stuff the same tosses been doing up in his lab in ah and honeywell
00:26:35
is really got six thought because one of the challenges you have if any of
00:26:38
your coaches you ask a nap later performer hell they doing otherwise going right
00:26:43
you know that where i've got it now laurie's
00:26:46
and in this particular case in his research you can see exactly what's happening this is a of flight simulator
00:26:52
exhibit exhibit a experiment where well class pilots of coming and
00:26:57
they've been asked to land a helicopter on the three
00:27:00
different conditions if you look at this love blue curve isn't easy condition obviously when it's on a lot out
00:27:06
there's a midi really heart condition and there's a very high condition and that's subjective reading is
00:27:11
exactly what i just spoke about when you awesome how hard was it what they say
00:27:18
i qualified to truly can actually from a statistic perspective see any difference between the response
00:27:23
so what are they doing they're basically saying that easy is is is stuff as a hard on the harder stuff is easy
00:27:29
which from a coaching perspective if you really try to get underneath what they need
00:27:32
in terms of what the training in preparation means is not very useful
00:27:37
but now thanks to some of the algorithm some work to do infirmary c. but e. g. basis
00:27:41
the machine can actually tell when they line even the die self
00:27:46
report otherwise on the second ticket curve up the you
00:27:49
can see that the actual machines able to pass out discriminate what's hot and what's easy with respect to this talent
00:27:56
so again we starting to peel back some of this stuff that's been challenging for
00:27:59
us in the coaching them i'm with respect understating what's stated persons in
00:28:04
what's been really interesting to watch in the last couple years in this is work that's come out of the defence department
00:28:09
us with respect to submarine teams of ah control teams on subs i gave you a for me with a space
00:28:16
will high class things not just individual the high performing teams in very simple to show great
00:28:22
a little coherence and harmony with respect to the brain patterns when they working in sync
00:28:27
so again we starting that you think about this all construct of what
00:28:30
makes a great team as nebulous is that research question is
00:28:35
we're starting to see these tools come together that allows the past the stuff that start to work against it
00:28:41
i get all at all this stuff is very early so i'm not saying any of this is proven directly yet but it shows us
00:28:46
i trained in the trajectory that's really exciting with respect to some the constructs with intro trying
00:28:53
e. sports this is that what happened last week a group of as such a set of us use research lab
00:29:01
i've actually now figured very accurately cognitive load of apply or in a very simple going we're
00:29:07
not talking liege illegal legend sport lot arrival what she was thinking we're talking pong
00:29:14
but i now have acted the capacity look at very specific formal markers in
00:29:18
the g. signal which as when they make the game more difficult
00:29:22
cognitive load in the brain goes out for the first time in an active since we have a
00:29:26
very discreet measure of load in the brain with respect to the learning and training empowerment
00:29:33
so we're looking to see how this stuff manifest itself obviously
00:29:35
informal complex situations but again very interesting exciting stuff
00:29:41
but all my stuff make you put the big all cap on the head which
00:29:43
is not very tractable so doppler last year and now it's this new program
00:29:49
which is getting a lot of traction with a looking at a system to look at
00:29:53
brain activity without any sense is actually in contact of physical contact with it
00:30:00
so from that perspective is we spike to other uh starting to understand the talent and what it takes to become
00:30:06
the very best version of use of the push the limits of whatever endeavour you're trying to achieve in
00:30:11
we're starting to get the tools and the opportunities to start to really passed this stuff up a movie stuff forward
00:30:16
which is exciting and we don't know where it's all gonna go in the next couple years but i think
00:30:20
was that all agree that we've got opportunity be in front of us that we've never had before
00:30:27
but again in those labs in the savings in in in the highly resource will you maybe
00:30:32
other do some of these things but what about just to start to make it practical
00:30:36
so again the other big massive train was saying is this shift
00:30:39
from invasive type of assessment to just general ubiquity sensing
00:30:44
and this is really exciting 'cause we're starting to shift pass the idea of going into a lab to get this assessment
00:30:50
but we're to be da real time yeah i i know there's a lot of social
00:30:53
and ethical considerations evil just gonna blaster that in considerable talk about that later
00:30:59
the where bowls or even implantable that's our new implantable last week as under the
00:31:03
skin measures thirty or forty different things from varying different degrees of accuracy
00:31:08
but just having these things only system real time twenty four seven provides an interesting data point
00:31:14
that's so i can metric self report analysis that i spoke to you earlier about
00:31:19
your digital footprint on on a line now is your probably way of watching the recent face book so the crisis
00:31:26
is they can actually pass out fairly high level soccer metric
00:31:29
and character evaluation based on your digital social for print
00:31:33
seven census talent selection for somebody athletic programs will again when you
00:31:36
look at those twenty thirty forty fifty million dollar athletes
00:31:40
describing the digital social profile can give you a very good assessment as to the
00:31:44
true character and that's another died of whether holes make that decision moving forward
00:31:49
and then i think into the stress analysis the facial recognition the voice analysis the people
00:31:54
i'm actually seeing the showing us that we can look at the person now
00:31:57
from a distance i start to pick up some of this amazing information about the performance and held makes it
00:32:03
what's interesting is that this used to be and i trained would you see most of
00:32:07
this stuff the built in the sporting or professional performance will be military government
00:32:13
but performances now train since put away that i've never seen before i
00:32:18
think it's really exciting because the resources being put into understanding how
00:32:21
people operate functions have much broader application this is the old school
00:32:26
in san francisco anywhere in the room from the with it
00:32:29
this is normal thought the school montessori very advanced very expensive as i understand
00:32:35
these are the kids in the class in going to the average class activities data dies as as you would expect
00:32:41
and he's the thirty to fifty analyst behind the wall looking at the body temperature the
00:32:46
the capacity for energy biking you start to see that these technologies for looking
00:32:50
away people style are being developed in the in the commercial sector
00:32:55
with the idea being you can add the leave it to the t. exactly what they need when
00:33:00
they need it in the appropriate way a little far beyond what we've done in the past
00:33:06
again very orwellian with respect to the sort of uh ethical consideration see as interesting as i
00:33:13
said to start to see how this stuff is manifesting itself in the broader context
00:33:20
one of the things in past elections we have now is that even if we had been buried
00:33:24
in the human performance well for the last twenty or thirty years think we've learned a lot
00:33:30
and individuals or even the teams understanding of what's out there with respect to the
00:33:35
science and research and and uh information around human factors is still very limited
00:33:41
but what's really exciting again is some of these technologies being developed was developed the security
00:33:46
are now that larry one individual they also look at global tightest sets anyone from a with the primer group out
00:33:53
of san francisco yet i just wrote a check to see if i'm boring the hell are you guys
00:33:58
um so what showing go in he seemed a jungle is a genius you worked in
00:34:02
the pentagon for many years allies in big data sets for the us government
00:34:07
we realise that there wasn't enough people to look at the information which i think we all agree so
00:34:11
we develop desire i platform that actually writes a briefly you on any given topic you choose
00:34:18
it's scrapes the web for every bit of information around that particular
00:34:21
topic and then the machine is you'll see he is writing
00:34:27
you've asked a question about crisp ah you say it's scaring
00:34:31
the data sets and that's automatically riding a brief
00:34:36
around the topics it
00:34:40
what's interesting or terrifying depending on your perspective is it it's about eighty five percent as accurate as a human
00:34:50
which i love this stuff because well i'm interested in serial most of passion or that you in
00:34:56
fact is somewhat left actually trying to wrong which is what about projects will work out
00:35:00
what you typed in nutrition for before which are insurance athletes what if you typed in training for young kids
00:35:07
and i would i would aggregate all that dire information around the world in such a way that makes sense to
00:35:12
new quickly start to piece it now that's not to say that humans are gonna be part of the equation
00:35:16
but it just will because this information out they are robust and prefer why is really a fantastic opportunity
00:35:26
which gives you the marks on his shoulder go off a presentation last week so the view view so
00:35:32
that every year i get out try scare the hell as us with the latest and greatest advancements
00:35:38
this one got me excited for the same reason is the previous example
00:35:42
we're starting to see the human machine interaction become very much
00:35:47
transparent apple and a with respect to help powerful machine is able to understand what it's doing
00:35:52
with respect you i get from the perspective of looking at all the dire out they
00:35:57
and understanding all the tire out they i think these tools are being built for other purposes really have
00:36:02
all spell although the example sulphur itself in this particular case on the the c. i. has demonstrating
00:36:10
the assistant then you google assistant which is the competitor the like stuff with from amazon
00:36:16
it's being asked to broke a hair appointment for person and a c. v. interaction so what you're actually saying
00:36:22
is the machine interacting with the person taking the booking
00:36:28
earlier versions around things done
00:36:34
ah uh_huh part of getting things done maybe new phone call
00:36:38
you may wanna know is who's good your maybe comment number in the middle of the we were even school uh_huh
00:36:46
you know we're working hard users whose moms who wanna uses to this is in a good mood
00:36:56
we rely on our numbers even in the us sixty percent
00:37:00
of small businesses don't have an online loses too
00:37:05
we are on
00:37:10
let's say you want to make your own tuesday buchanan you
00:37:17
what makes the call seamlessly will
00:37:24
so what you're going here actually calling real salon huh to schedule appointments for you
00:37:38
yeah
00:37:42
or
00:37:43
uh_huh
00:37:46
sure
00:37:49
uh_huh
00:37:53
we're
00:37:59
our armour i'm
00:38:09
we're we're
00:38:17
ah
00:38:28
here
00:38:38
i i don't know if it's scary or not but the idea that these tools are now starting to become available
00:38:45
think of what opportunities we have an l. done mine again if we had access to this type
00:38:49
of technology in tools with respect to human full formants what could we do with it
00:38:55
any particular wanted reflect on its power i think one of the first applications and whether spaces
00:39:00
where working heavily in right now is the sports one it's a dominant lee cognitive performance
00:39:06
so we're having developed tools and techniques in this than mine that uh allowing us to look at the brain interaction
00:39:11
the brain as you saw earlier you know why that's never been done before too it's high stakes high pressure
00:39:16
it may not appear that way but as it's quickly becoming the norm one
00:39:20
sport the well the resources and money being poured into is staggering
00:39:24
so we're starting to see development of tools and technologies with respect to
00:39:27
this place that we haven't seen in other domains of human performance
00:39:30
and one thing that's really critical what's an amazing opportunity here is the idea that every
00:39:34
decision every movement you make in the sports and gaming is measured in recorded
00:39:40
so like being on the socket pigeon you tried s. s. using g. p. s. other techniques what's going on around the ball
00:39:45
the sports will every think it's precision is is so high that you can start to develop techniques and tools in this place
00:39:52
that you could then apply to all the walls and was romain to sport i try to find a a swiss cottage the
00:39:59
couldn't tell who was famous and he was and so i had ever for backed american coach where a position now given
00:40:05
the ability for us to look at human factors away we've never had before so
00:40:09
the machine is capability to understand this information we're getting a position where
00:40:16
we are getting to us that where the opportunity for truly artificial coaches is is is sort of present
00:40:23
this is again not to say we're gonna get rid of the human in the equation but if the machine can understand an individual thing better than you
00:40:30
if a machine can look at historically old applies in patterns of being in the last hundred using that
00:40:34
particular sport if a machine can then aggregate information
00:40:38
in in a powerfully coherent and actionable why
00:40:42
then i think in the next few years you'll start to see on the
00:40:45
sidelines the connections not just gonna be an assistant manager another manager you
00:40:50
start to see the machine will talk and in fact this is what happens typically in if one anyway so what and you may i ask
00:40:58
so we've got all this amazing technology i we've got the opportunity to look at
00:41:03
humans and performance uh why we've never been we've been unable to before
00:41:08
and we're in a position actually trying to the trajectory of air pollution that's a very huge responsibility
00:41:15
as sport is still in the dominant position to drive a lot of this fax sports role
00:41:19
in this place is the probably as i would ask the time to set the standard
00:41:24
the ethical and moral boundaries by which we do this in such a way that it doesn't do any harm
00:41:30
so we've been playing with this idea if if we had this capability beyond
00:41:35
the human performance in the traditional sense to can we apply to
00:41:40
recently we set down at the milk in a city no this conference either i stay side which i don't know if it's
00:41:45
true or not but there's a lot of money in the room i said this thirty five trillion capital in the room
00:41:50
they were using sports buys performance techniques to demonstrate the impact on people making the biggest
00:41:56
decisions in the world and moving the biggest amounts of capital on the war
00:42:00
so one from just a generating resources to keep improving our understanding of the space
00:42:05
fantastic but to show in the importance of beef human in the equation
00:42:10
so we don't get psyched for family caught up in the technology and so that we can
00:42:14
mobile eyes assets towards the problems that we see have a big impact is really critical
00:42:20
that's right the corporate well it's been done a lot and i'm not gonna but
00:42:23
but bore you with the details what about people solving the world's biggest challenges
00:42:28
what if we take our assets and and technologies that we used to
00:42:33
get a sock apply another ten million a year on the contract
00:42:38
what if we put the people who are solving some of the world's greatest
00:42:40
challenges in this particular example the we took all human performance techniques
00:42:46
and we set them down in front of a group of a young
00:42:50
social entrepreneurs in so where the people are trying to solve hunger
00:42:54
education poverty in this community and we put them through the same types of
00:42:58
programs that we wouldn't elite athlete and a perfect impact whisper frown
00:43:03
so people saw we our biggest challenges deserve access to this information as well
00:43:08
but most importantly i think us back to the full for this whole conversation
00:43:14
technology for technology's sake i don't think as much value with respect to human factors
00:43:20
the technology to understand how humans perform at the highest levels possible help people achieve their dreams
00:43:26
how they oh the complies challenges in front of them really is this staggering opportunity in front of us
00:43:34
and so when we think about all we've more from all this extra reach out over
00:43:38
all these using all the science and research is going and understanding peak performance
00:43:43
imagine if we could get it in the hands of every young performer in the world all over with this
00:43:48
this young individual he navigating this place by self what an impact we could have on the if we
00:43:53
got all this organised and see what's so good she with okay we turn that off a little
00:44:02
he was sue yes
00:44:08
yeah
00:44:11
thanks
00:44:17
well
00:44:21
now what's still over well
00:44:31
beep things you
00:44:37
you're wrong
00:44:40
as long twenty
00:44:45
mm
00:44:52
yeah
00:44:54
oh
00:44:56
who
00:44:58
here
00:45:05
cool
00:45:08
yeah
00:45:23
i'll leave you with that all the very best over the next couple of
00:45:26
days i hope with all the fantastic course power intellectually in the room
00:45:31
that you uh i would never guys somebody's fantastic talks experiences and take some things um and think about the opportunity in

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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.

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