June 27, 2024 • 16 mins
Pulling off an event like the Olympic and Paralympic Games involves intricate behind-the-scenes work. From connecting people through private 5G platforms to creating virtual experiences and using AI and digital twins for planning and execution, expertise and reliable partnerships are crucial.
This podcast explores how advanced technology is leveraged to create interactive and immersive event experiences, the essential partnerships involved, and a forward-looking perspective on future innovations in event management.
Join us as we explore these ideas with:
Sarah Vickers, Head of the Olympic and Paralympic Program, Intel
Christina Cardoza, Editorial Director, insight.tech
Sarah answers our questions about
- Intel’s involvement in the Olympic and Paralympic Games
- Event preparation before, during, and after the event
- The process of launching a large-scale event experience
- What happens with all the data after the event
- New technology innovations for event experiences
- The value of Intel’s ecosystem and partnerships
- Applying Intel technology beyond the Olympics
Related Content
For the latest innovations from Intel, follow them on Twitter at @Intel and on LinkedIn.
Mark as Played
Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
(00:00):
(lively music)
- Hello and welcome to"insight.tech Talk",
formerly known as "IoT Chat",
but with the samehigh-quality conversations
around Internet ofThings, technology trends,
(00:20):
and the latest innovationsyou've come to know and love.
I'm your host, Christina Cardoza,
Editorial Director of insight.tech.
And today we're going to betalking about how technology
can uplevel event experiences
with Sarah Vickers from Intel.
But as always, before we get started,
let's get to know our guest.
Hi Sarah, thanks for joining us.
- Hi, it's great to be here.
- What can you tell us about yourself
(00:41):
and what you do at Intel?
- So, I've been withIntel about nine years,
but I've been working on ourOlympic and Paralympic program
for about seven.
Currently, I'm responsible for all aspects
of our Olympic program,
which includes games operations,
our guest experience,
and anything to support the ecosystem.
- Great, and of course theOlympic and Paralympic Games
(01:01):
is happening in Paris soon.
So very exciting.
I wanted to start theconversation around there.
We're going to be talkingabout event experiences,
but since the Olympicsis such a timely event,
I wanted to see if youcould give us an overview
of Intel's involvement at the event.
What motivated you guys tobecome a technology partner?
You said you've been doing itfor the last couple of years,
(01:22):
so how has it evolved overthe last couple of years?
- Sure.
One of the things thatIntel loves about the Games,
is that it is really thelargest sporting event,
and most complex sporting event, on Earth,
and has billions ofwatchers around the world.
So it's really exciting opportunity for us
to demonstrate Intel'stechnology leadership
in a really scalable way.
(01:43):
We're not doing this tohave proofs of concept.
We're actually integrating our technology
to help with the success of the Games.
And we think about thatin a variety of ways,
because there's so many different aspects
to call a Game successful.
You've got the really complex operations
to deliver the Games,
moving athletes and fansand volunteers around,
(02:04):
getting people from A to B.
That's complex in itself,
but do that across 17 daysacross so many sports.
It's super complex.
You've got the broadcast experience,
so billions of people watching at home.
That's just evolvedand become more complex
when you think about allthe different devices
and how people consume media.
So we do a lot of applications
working with Olympic Broadcasting Services
(02:25):
to deliver outstanding experiences
based on Intel technology.
You've got the fan experience,
whether that be, again, operationally,
ease of getting around,
versus actually how do youentertain during the Games.
The sports itself providegreat sense of entertainment,
but there's all that in between time.
What can we do to helpthem make that experience
even better?
- And you talked about howthis is such a large event
(02:47):
over the course of a couple of days.
I can imagine how complexit is during those days,
but how is Intel technologybeing used behind the scenes,
not only during the event itself,
but how are you preparingbefore the event,
making sure everything is up and running
and it's a smooth experience?
And then what happens after the event?
Because I'm sure it's not justfor the actual live sessions.
(03:09):
- We start working onthe Games years before,
with the International Olympic Committee,
with the InternationalParalympic Committee,
the organizing committee,in this case, Paris 2024,
to really try to understandwhat are we trying to solve?
How can we take whatwe've done in the past
and make it better?
Or what are the new challenges
that have evolved since the last Games?
(03:29):
So we really work it as a partnership,
and really think aboutwhat are we trying to do.
We have taken solutionsthat we've done in Tokyo
and made them better.
So in a good example of that,
is we do what we'recalling digital twinning.
So digital twinning is the opportunity
to look and have a digitaltwin of all the venues,
(03:51):
and really understand what thevenues are going to be like
in a 3D way.
How this helps is, if youthink about broadcasters,
they really need to understand
where camera placement's going to be,
and how that's impactedby different things.
If you think about thetransition from the Olympic Games
to the Paralympic Games,
you've got a lot of changes
that you need to do for accessibility,
(04:11):
and things like that for the athletes.
This makes it possible todo those things in advance,
rather than doing it as ithappens and figuring out,
oh, this solution actually doesn't work.
So there's a lot of benefit to that,
as well as just theopportunity to reduce travel.
You can do it from anywhere,you can do it from your PC.
So it makes it really easy.
Another use case thatwe're helping out with,
(04:33):
from an operational perspective,
is really just understanding the data.
So there's a lot of peoplebehind the scenes, right?
If you think about all themedia that's on the ground,
all the workforce,
we're helping theInternational Olympic Committee
and Paris 2024 understandthat people movement,
to optimize facilities for them.
So that could be either making sure
that we've got the right occupancy levels,
(04:55):
making sure that people havethe right exits and entries,
really using that data tomake real-time decisions
based on that data.
But what that also does is ithelps inform the next Games,
because they've got a baseset of data that they can use
to help model and plan forthose complicated situations.
A final example that I give,
just from an operational perspective,
(05:16):
is on the athlete's side.
This is the athlete's moment.
For some of them it's, you know,
the highest moment in their career.
And really what you want to do
is make it as uncomplicated as possible.
You want them to be able tofocus on their performance,
and not think about the thingsthat they have to think about
to get to that performance.
So whether that be food,whether that be transportation,
(05:36):
whether that be accommodations,
there's so many differentthings while they're there
that they need to think about.
We've worked with the IOC,
and we're implementing a chatbotfor them for these Games.
So really a chatbot based onour AI technology platforms.
What that's going to do,
is it's going to enableathletes to ask questions,
(05:56):
get conversational answersabout day-to-day things.
And that will continue to get smarter
as we get more answers andunderstand what's working.
So that's going to beused throughout the Games,
which I think is going to bea game changer for athletes.
- Yeah, absolutely.
And talking about things getting smarter,
I think it's probably so exciting
to see how technology has evolved
over the last couple of years,
and now you're able toleverage all of these new tools
(06:18):
to help make the Games better.
You mentioned digital twins,
I'm sure you are usingsome Intel® SceneScape
behind the scenes.
And then there's all this AI,
and all the processors that Intel has,
to really make everything,like you mentioned, real time.
Make sense of the data,
make sure that you can makeinformed decisions in real time.
And all of this, I'm sure,is happening at the edge,
so it is low-latency,
(06:39):
and we're getting all thisinformation as quick as possible.
I'm sure you said you guysstart preparing for the Games
years in advance.
I'm sure there's a lot ofplanning and preparation
that goes into this,
just looking at not only howare we going to integrate
all this technology
and make it make sense andeliminate some of the silos,
but what it looks like during the event,
(07:00):
what it looks like after the event.
So how do you start off years in advance?
Walk me through the process
of getting from the Games are coming up,
this is how we prepare,
and then this is how we launch it.
- Really what we do iswe sit down and say,
"What are the things thatneed to be delivered," right?
There's a set ofexpectations for every Games,
(07:20):
and then there's that set of expectations
of what do we want to do that's different?
And it's really aprocess where we sit down
and we ask those questions,
both what are you trying to solve,
what are you worried about,
and what are the thingsthat need to happen?
And then we do an assessment and say,
"How can Intel's technology help?"
And we work very closelywith a number of partners
(07:41):
to try to figure that out.
And then we develop aroadmap of solutions.
And then we have, you know,for each roadmap of solutions,
there's its sort of typicaltechnology integration
where then we have a plan and a PM
that works closely withthose stakeholders holders
to deliver that.
Some of those solutionsare delivered in advance.
So digital twinning forexample, that's not really,
the benefit of that isnot during the Games.
(08:03):
The benefit is really before the Games,
and months before the Games.
So that solution's been being used
over a big period of time.
And then you've got other solutions
that are obviously for during the Games.
So it really depends onthe technology integration
of what that process looks like.
And then hopefully, you know,
during the Games everything goes smoothly
and we just can enjoy it andwatch our technology shine.
(08:25):
But we have staff on site
to make sure that everything runs smoothly
and goes off without a hitch.
- Is there anything thathappens after the Games?
Any more work that'sbeing done on Intel's side
to make sure that if people upthere were recorded sessions
or recorded games,
or anything that we point to post event?
(08:46):
- So I think if you think aboutwhat happens to the Games,
there's so much data, right?
So there's so much data,
and data means so many different things.
So you've got content, right?
When you've got broadcast data,
you've got all the highlights,
and all those things that are being done.
You've got all the data thatwe're helping the IOC collect
to understand people movement,and things like that.
So that data is definitely being used
(09:07):
to help plan the next set of Games.
When you think about broadcast,
that broadcast information is being used
to create models and understandfor future Games as well,
or future entertainment.
So one of the really interesting use cases
that we're working on withOlympic Broadcasting Services
is AI highlights.
So we are actually creating highlights
using artificial intelligence platforms,
(09:29):
and that's going to help create highlights
that weren't just possible before,
because they were all generated by people,
and there was only acertain amount of people
that could do that over time.
But if you think about whatwe talked about earlier,
where how people consumebroadcast is changing,
people are much more demanding
on their expectations of broadcast,
and want things that are alittle more personalized.
(09:51):
And you've got 206 different countries
participating in the Games,
multiple languages, multiple sports,
and there's countries
where certain sports are really important,
that aren't important.
Some of the biggercountries that you would see
that usually dominate this space.
So what the AI highlights can do
is generate highlightsthat are really customized,
based on certain things.
(10:12):
So this is really exciting,
and we're going to seethis evolve over time,
because what will happen isthe models will learn over time
and they'll get smarter,
and then you're going to have even better
and more awesome highlights for the fans.
- Yeah, I was going to ask ifthere was any lessons learned
that you have experiencedover the last couple of years
that you're bringing into this event,
or if there's any new technologies
(10:32):
and innovations out therethat you're excited to use.
So it sounds like it's AI anddigital twinning this year.
Is there anything youwanted to add to that?
- I mean, I think when youthink about AI and Intel
and the whole idea behind "AI Everywhere,"
really, this is a reallyexcellent grounds to demonstrate
how Intel's AI platforms
will really change a lotof aspects of the Games.
(10:54):
So we're really excited abouta lot of our activations
that are demonstratingwhat we can do with AI.
And I think what's happened over time,
is just technology andAI has gotten smarter,
it's becoming more mainstream.
So you're just going to see more of that,
because that's what the expectations are.
And we can use that data,
the compute is possible now,
(11:14):
to build those models.
So we're going to have a lotof different AI applications
throughout the Games.
- It's interesting looking at an event
at such a global scale,
because at insight.tech,
we write a lot about Intel®Partner Alliance members,
how they partner together with Intel
to make various different things happen,
digital signage in stores,
(11:36):
the data analytics,
the cameras, the people occupancy.
It sounds like all of thisis happening at the event.
So all of these technologiesthat we've been talking about,
that our partners are workingwith Intel to make happen,
it's such a scale that it'sthis end-to-end solution.
Everything is happening at the Olympics,
the networking, the real-time analytics,
(11:56):
everything at the edge.
So I'm curious, what is the value
of Intel's ecosystem and the partnership
to make something like the Olympics
and the Paralympics happen?
- So Intel doesn't do things alone, right?
Like you said, we relyon strong partnerships
to help deliver that.
So we really work and try to understand
what solution is best,
(12:17):
and then work with thatecosystem to help deliver that.
And that can be a varietyof types of partners.
So we have the lucky opportunity
to work with some othertop Olympic partners,
and then we work throughsome of our other partners
at the local level,
and then we work across our ecosystem
to help make this happen.
We definitely cannot do it alone.
(12:37):
- And of course,
we've been talking aboutall of this technology
in context of the Olympicsand Paralympic Games,
but there are otherevents and other use cases
I think some of this could be applied to.
So I'm curious, how canIntel technology be used
beyond the Olympics?
What are some other industries or sectors
that you see some of the things
(12:57):
that you've been doing to prepare
during, before, and afterthe event in other areas?
- Sure, I think there's,
almost every application that we have,
there's an application for that,
both at other events,but also beyond sport.
So I think the way we think about it is
how does this demonstrate what we can do,
(13:17):
and then how does that scale?
So I'll give another example of a use case
that we're doing
that's a really funapplication of AI platforms,
which is really what we're calling
AI Talented Identification.
So we are using AI to dobiomechanical analysis,
to help fans that are goingto be at athletics and rugby,
understand which Olympicsport they're most aligned to.
(13:39):
So they're going to do abunch of fun of exercises,
we're going to mash up that data,
and then tell them, okay, youare most likely to do this.
And that's just a fun application of AI.
But if you think about
what that biomechanical analysis can do,
that can be used in a variety of ways.
If you think about physiotherapy,
if you think about occupational health,
there's a lot of different ways
that this can help improvepeople's lifestyles.
(14:01):
That you can use this same application.
You think about digital twinning,
that that application is gone beyond,
and you're seeing a lotof that in manufacturing,
in cities, in all ofthese different aspects
that this type of technology
will have that opportunityto help benefit the outcome
of whatever their goals may be.
- Yeah, that kind ofreminds me of the demo
(14:22):
Pat Gelsinger did lastyear at Intel Innovation,
where he was trying to,
I believe it was being a soccer player,
and learn how he couldimprove his skills using AI,
and some of these biometrics.
So it's great to see that,
you know, from lastyear how it's advancing
and how it can actuallybe used in the real world,
and how, you know, it isactually being implemented
(14:42):
in some of these areas.
So, exciting to see this technology.
I'm curious, I know we've covered a lot
about the Olympic Games,
are there any, you know, key takeaways
that you think ourlisteners should know about
doing an event at such scaleusing Intel technology?
Any final thoughts you wantto leave us with today?
(15:02):
- The Games are goingto be a massive event
and in this post-pandemic era,
I think we're all excited
to see the Games back to their glory,
where there'll be fans in the stands.
It's really exciting,
but it's obviously very complex.
Paris is a giant complicated city
without an Olympic Gamesor Paralympic Games,
(15:22):
and so bringing that on isgoing to be really hard.
But by working with Intel andtrusting with your partners,
we can help develop the solutions
to deliver an amazing Games.
And we're really excited to be a partner
of the International Olympic Committee
and the International Paralympic Committee
to help make these Games the best yet.
- Absolutely.
Well, I can't wait tosee the Games in action,
and some of this Intel technologywe've been talking about.
(15:44):
I invite all of our listeners,
if you have any questions,
or looking to partner with Intel
and leverage some of this technology
in your own event experiences,
to visit the Intel website,
to keep up to date on insight.tech,
where we'll be continuing tocover some of Intel's partners,
and what Intel is doing in this space.
(16:05):
So I want to thank you again, Sarah,
for joining the podcast today,
as well as our listeners.
Until next time, this hasbeen "insight.tech Talk."
(lively music)
(lively music)
- Hello and welcome to"insight.tech Talk",
formerly known as "IoT Chat",
but with the samehigh-quality conversations
around Internet ofThings, technology trends,
(00:20):
and the latest innovationsyou've come to know and love.
I'm your host, Christina Cardoza,
Editorial Director of insight.tech.
And today we're going to betalking about how technology
can uplevel event experiences
with Sarah Vickers from Intel.
But as always, before we get started,
let's get to know our guest.
Hi Sarah, thanks for joining us.
- Hi, it's great to be here.
- What can you tell us about yourself
(00:41):
and what you do at Intel?
- So, I've been withIntel about nine years,
but I've been working on ourOlympic and Paralympic program
for about seven.
Currently, I'm responsible for all aspects
of our Olympic program,
which includes games operations,
our guest experience,
and anything to support the ecosystem.
- Great, and of course theOlympic and Paralympic Games
(01:01):
is happening in Paris soon.
So very exciting.
I wanted to start theconversation around there.
We're going to be talkingabout event experiences,
but since the Olympicsis such a timely event,
I wanted to see if youcould give us an overview
of Intel's involvement at the event.
What motivated you guys tobecome a technology partner?
You said you've been doing itfor the last couple of years,
(01:22):
so how has it evolved overthe last couple of years?
- Sure.
One of the things thatIntel loves about the Games,
is that it is really thelargest sporting event,
and most complex sporting event, on Earth,
and has billions ofwatchers around the world.
So it's really exciting opportunity for us
to demonstrate Intel'stechnology leadership
in a really scalable way.
(01:43):
We're not doing this tohave proofs of concept.
We're actually integrating our technology
to help with the success of the Games.
And we think about thatin a variety of ways,
because there's so many different aspects
to call a Game successful.
You've got the really complex operations
to deliver the Games,
moving athletes and fansand volunteers around,
(02:04):
getting people from A to B.
That's complex in itself,
but do that across 17 daysacross so many sports.
It's super complex.
You've got the broadcast experience,
so billions of people watching at home.
That's just evolvedand become more complex
when you think about allthe different devices
and how people consume media.
So we do a lot of applications
working with Olympic Broadcasting Services
(02:25):
to deliver outstanding experiences
based on Intel technology.
You've got the fan experience,
whether that be, again, operationally,
ease of getting around,
versus actually how do youentertain during the Games.
The sports itself providegreat sense of entertainment,
but there's all that in between time.
What can we do to helpthem make that experience
even better?
- And you talked about howthis is such a large event
(02:47):
over the course of a couple of days.
I can imagine how complexit is during those days,
but how is Intel technologybeing used behind the scenes,
not only during the event itself,
but how are you preparingbefore the event,
making sure everything is up and running
and it's a smooth experience?
And then what happens after the event?
Because I'm sure it's not justfor the actual live sessions.
(03:09):
- We start working onthe Games years before,
with the International Olympic Committee,
with the InternationalParalympic Committee,
the organizing committee,in this case, Paris 2024,
to really try to understandwhat are we trying to solve?
How can we take whatwe've done in the past
and make it better?
Or what are the new challenges
that have evolved since the last Games?
(03:29):
So we really work it as a partnership,
and really think aboutwhat are we trying to do.
We have taken solutionsthat we've done in Tokyo
and made them better.
So in a good example of that,
is we do what we'recalling digital twinning.
So digital twinning is the opportunity
to look and have a digitaltwin of all the venues,
(03:51):
and really understand what thevenues are going to be like
in a 3D way.
How this helps is, if youthink about broadcasters,
they really need to understand
where camera placement's going to be,
and how that's impactedby different things.
If you think about thetransition from the Olympic Games
to the Paralympic Games,
you've got a lot of changes
that you need to do for accessibility,
(04:11):
and things like that for the athletes.
This makes it possible todo those things in advance,
rather than doing it as ithappens and figuring out,
oh, this solution actually doesn't work.
So there's a lot of benefit to that,
as well as just theopportunity to reduce travel.
You can do it from anywhere,you can do it from your PC.
So it makes it really easy.
Another use case thatwe're helping out with,
(04:33):
from an operational perspective,
is really just understanding the data.
So there's a lot of peoplebehind the scenes, right?
If you think about all themedia that's on the ground,
all the workforce,
we're helping theInternational Olympic Committee
and Paris 2024 understandthat people movement,
to optimize facilities for them.
So that could be either making sure
that we've got the right occupancy levels,
(04:55):
making sure that people havethe right exits and entries,
really using that data tomake real-time decisions
based on that data.
But what that also does is ithelps inform the next Games,
because they've got a baseset of data that they can use
to help model and plan forthose complicated situations.
A final example that I give,
just from an operational perspective,
(05:16):
is on the athlete's side.
This is the athlete's moment.
For some of them it's, you know,
the highest moment in their career.
And really what you want to do
is make it as uncomplicated as possible.
You want them to be able tofocus on their performance,
and not think about the thingsthat they have to think about
to get to that performance.
So whether that be food,whether that be transportation,
(05:36):
whether that be accommodations,
there's so many differentthings while they're there
that they need to think about.
We've worked with the IOC,
and we're implementing a chatbotfor them for these Games.
So really a chatbot based onour AI technology platforms.
What that's going to do,
is it's going to enableathletes to ask questions,
(05:56):
get conversational answersabout day-to-day things.
And that will continue to get smarter
as we get more answers andunderstand what's working.
So that's going to beused throughout the Games,
which I think is going to bea game changer for athletes.
- Yeah, absolutely.
And talking about things getting smarter,
I think it's probably so exciting
to see how technology has evolved
over the last couple of years,
and now you're able toleverage all of these new tools
(06:18):
to help make the Games better.
You mentioned digital twins,
I'm sure you are usingsome Intel® SceneScape
behind the scenes.
And then there's all this AI,
and all the processors that Intel has,
to really make everything,like you mentioned, real time.
Make sense of the data,
make sure that you can makeinformed decisions in real time.
And all of this, I'm sure,is happening at the edge,
so it is low-latency,
(06:39):
and we're getting all thisinformation as quick as possible.
I'm sure you said you guysstart preparing for the Games
years in advance.
I'm sure there's a lot ofplanning and preparation
that goes into this,
just looking at not only howare we going to integrate
all this technology
and make it make sense andeliminate some of the silos,
but what it looks like during the event,
(07:00):
what it looks like after the event.
So how do you start off years in advance?
Walk me through the process
of getting from the Games are coming up,
this is how we prepare,
and then this is how we launch it.
- Really what we do iswe sit down and say,
"What are the things thatneed to be delivered," right?
There's a set ofexpectations for every Games,
(07:20):
and then there's that set of expectations
of what do we want to do that's different?
And it's really aprocess where we sit down
and we ask those questions,
both what are you trying to solve,
what are you worried about,
and what are the thingsthat need to happen?
And then we do an assessment and say,
"How can Intel's technology help?"
And we work very closelywith a number of partners
(07:41):
to try to figure that out.
And then we develop aroadmap of solutions.
And then we have, you know,for each roadmap of solutions,
there's its sort of typicaltechnology integration
where then we have a plan and a PM
that works closely withthose stakeholders holders
to deliver that.
Some of those solutionsare delivered in advance.
So digital twinning forexample, that's not really,
the benefit of that isnot during the Games.
(08:03):
The benefit is really before the Games,
and months before the Games.
So that solution's been being used
over a big period of time.
And then you've got other solutions
that are obviously for during the Games.
So it really depends onthe technology integration
of what that process looks like.
And then hopefully, you know,
during the Games everything goes smoothly
and we just can enjoy it andwatch our technology shine.
(08:25):
But we have staff on site
to make sure that everything runs smoothly
and goes off without a hitch.
- Is there anything thathappens after the Games?
Any more work that'sbeing done on Intel's side
to make sure that if people upthere were recorded sessions
or recorded games,
or anything that we point to post event?
(08:46):
- So I think if you think aboutwhat happens to the Games,
there's so much data, right?
So there's so much data,
and data means so many different things.
So you've got content, right?
When you've got broadcast data,
you've got all the highlights,
and all those things that are being done.
You've got all the data thatwe're helping the IOC collect
to understand people movement,and things like that.
So that data is definitely being used
(09:07):
to help plan the next set of Games.
When you think about broadcast,
that broadcast information is being used
to create models and understandfor future Games as well,
or future entertainment.
So one of the really interesting use cases
that we're working on withOlympic Broadcasting Services
is AI highlights.
So we are actually creating highlights
using artificial intelligence platforms,
(09:29):
and that's going to help create highlights
that weren't just possible before,
because they were all generated by people,
and there was only acertain amount of people
that could do that over time.
But if you think about whatwe talked about earlier,
where how people consumebroadcast is changing,
people are much more demanding
on their expectations of broadcast,
and want things that are alittle more personalized.
(09:51):
And you've got 206 different countries
participating in the Games,
multiple languages, multiple sports,
and there's countries
where certain sports are really important,
that aren't important.
Some of the biggercountries that you would see
that usually dominate this space.
So what the AI highlights can do
is generate highlightsthat are really customized,
based on certain things.
(10:12):
So this is really exciting,
and we're going to seethis evolve over time,
because what will happen isthe models will learn over time
and they'll get smarter,
and then you're going to have even better
and more awesome highlights for the fans.
- Yeah, I was going to ask ifthere was any lessons learned
that you have experiencedover the last couple of years
that you're bringing into this event,
or if there's any new technologies
(10:32):
and innovations out therethat you're excited to use.
So it sounds like it's AI anddigital twinning this year.
Is there anything youwanted to add to that?
- I mean, I think when youthink about AI and Intel
and the whole idea behind "AI Everywhere,"
really, this is a reallyexcellent grounds to demonstrate
how Intel's AI platforms
will really change a lotof aspects of the Games.
(10:54):
So we're really excited abouta lot of our activations
that are demonstratingwhat we can do with AI.
And I think what's happened over time,
is just technology andAI has gotten smarter,
it's becoming more mainstream.
So you're just going to see more of that,
because that's what the expectations are.
And we can use that data,
the compute is possible now,
(11:14):
to build those models.
So we're going to have a lotof different AI applications
throughout the Games.
- It's interesting looking at an event
at such a global scale,
because at insight.tech,
we write a lot about Intel®Partner Alliance members,
how they partner together with Intel
to make various different things happen,
digital signage in stores,
(11:36):
the data analytics,
the cameras, the people occupancy.
It sounds like all of thisis happening at the event.
So all of these technologiesthat we've been talking about,
that our partners are workingwith Intel to make happen,
it's such a scale that it'sthis end-to-end solution.
Everything is happening at the Olympics,
the networking, the real-time analytics,
(11:56):
everything at the edge.
So I'm curious, what is the value
of Intel's ecosystem and the partnership
to make something like the Olympics
and the Paralympics happen?
- So Intel doesn't do things alone, right?
Like you said, we relyon strong partnerships
to help deliver that.
So we really work and try to understand
what solution is best,
(12:17):
and then work with thatecosystem to help deliver that.
And that can be a varietyof types of partners.
So we have the lucky opportunity
to work with some othertop Olympic partners,
and then we work throughsome of our other partners
at the local level,
and then we work across our ecosystem
to help make this happen.
We definitely cannot do it alone.
(12:37):
- And of course,
we've been talking aboutall of this technology
in context of the Olympicsand Paralympic Games,
but there are otherevents and other use cases
I think some of this could be applied to.
So I'm curious, how canIntel technology be used
beyond the Olympics?
What are some other industries or sectors
that you see some of the things
(12:57):
that you've been doing to prepare
during, before, and afterthe event in other areas?
- Sure, I think there's,
almost every application that we have,
there's an application for that,
both at other events,but also beyond sport.
So I think the way we think about it is
how does this demonstrate what we can do,
(13:17):
and then how does that scale?
So I'll give another example of a use case
that we're doing
that's a really funapplication of AI platforms,
which is really what we're calling
AI Talented Identification.
So we are using AI to dobiomechanical analysis,
to help fans that are goingto be at athletics and rugby,
understand which Olympicsport they're most aligned to.
(13:39):
So they're going to do abunch of fun of exercises,
we're going to mash up that data,
and then tell them, okay, youare most likely to do this.
And that's just a fun application of AI.
But if you think about
what that biomechanical analysis can do,
that can be used in a variety of ways.
If you think about physiotherapy,
if you think about occupational health,
there's a lot of different ways
that this can help improvepeople's lifestyles.
(14:01):
That you can use this same application.
You think about digital twinning,
that that application is gone beyond,
and you're seeing a lotof that in manufacturing,
in cities, in all ofthese different aspects
that this type of technology
will have that opportunityto help benefit the outcome
of whatever their goals may be.
- Yeah, that kind ofreminds me of the demo
(14:22):
Pat Gelsinger did lastyear at Intel Innovation,
where he was trying to,
I believe it was being a soccer player,
and learn how he couldimprove his skills using AI,
and some of these biometrics.
So it's great to see that,
you know, from lastyear how it's advancing
and how it can actuallybe used in the real world,
and how, you know, it isactually being implemented
(14:42):
in some of these areas.
So, exciting to see this technology.
I'm curious, I know we've covered a lot
about the Olympic Games,
are there any, you know, key takeaways
that you think ourlisteners should know about
doing an event at such scaleusing Intel technology?
Any final thoughts you wantto leave us with today?
(15:02):
- The Games are goingto be a massive event
and in this post-pandemic era,
I think we're all excited
to see the Games back to their glory,
where there'll be fans in the stands.
It's really exciting,
but it's obviously very complex.
Paris is a giant complicated city
without an Olympic Gamesor Paralympic Games,
(15:22):
and so bringing that on isgoing to be really hard.
But by working with Intel andtrusting with your partners,
we can help develop the solutions
to deliver an amazing Games.
And we're really excited to be a partner
of the International Olympic Committee
and the International Paralympic Committee
to help make these Games the best yet.
- Absolutely.
Well, I can't wait tosee the Games in action,
and some of this Intel technologywe've been talking about.
(15:44):
I invite all of our listeners,
if you have any questions,
or looking to partner with Intel
and leverage some of this technology
in your own event experiences,
to visit the Intel website,
to keep up to date on insight.tech,
where we'll be continuing tocover some of Intel's partners,
and what Intel is doing in this space.
(16:05):
So I want to thank you again, Sarah,
for joining the podcast today,
as well as our listeners.
Until next time, this hasbeen "insight.tech Talk."
(lively music)
Popular Podcasts
United States of Kennedy
United States of Kennedy is a podcast about our cultural fascination with the Kennedy dynasty. Every week, hosts Lyra Smith and George Civeris go into one aspect of the Kennedy story.
Stuff You Should Know
If you've ever wanted to know about champagne, satanism, the Stonewall Uprising, chaos theory, LSD, El Nino, true crime and Rosa Parks, then look no further. Josh and Chuck have you covered.
Dateline NBC
Current and classic episodes, featuring compelling true-crime mysteries, powerful documentaries and in-depth investigations. Follow now to get the latest episodes of Dateline NBC completely free, or subscribe to Dateline Premium for ad-free listening and exclusive bonus content: DatelinePremium.com