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In conversation: Toni Knowlson, Amazon Web Services

The digital innovation lead at Amazon Web Services, Australia and New Zealand, talks to Steph Eaves about smart balls, Formula 1 and fan engagement

Published in Fit Tech 2020 issue 1

How is Amazon Web Services changing the sports industry?
Amazon Web Services is working closely with local and global sporting organisations that are using AWS cloud, Artificial Intelligence (AI), and Machine Learning (ML) technologies to reimagine the sporting experience, deepen fan engagement, and achieve meaningful data insights to help athletes perform better.

In Australia, there are already promising examples of young local companies using AWS to innovate. Working from his garage, the owner of Queensland-based Sportcor, Ben Tattersfield, used AWS cloud to create a smart ball concept that can be used for cricket, golf and athletics and which displays useful details, including its spin and speed during play.

Tattersfield’s company is also planning to roll out its technology for other ball sports such as netball and rugby, as well as integrating it into equipment, such as helmets.

AWS also powers the data-driven sport of Formula 1 racing. During each race, 120 sensors on each car generate 3GB of data, and 1,500 data points are generated each second. Using our ML technology, Amazon SageMaker, Formula 1’s data scientists are able to train deep-learning models, which learn from 65 years of historical race data, to extract critical race performance statistics, make race predictions, and give fans an insight into the split-second decisions and strategies adopted by all the teams and drivers.

By streaming real-time race data to AWS using Amazon Kinesis, Formula 1 is able to capture and process key performance data for each car during every twist and turn of the race circuits. Then, by deploying advanced machine learning via Amazon SageMaker, Formula 1 can pinpoint exactly how a driver is performing and whether or not any drivers have pushed themselves over the limit. By sharing these insights through television broadcasts and digital platforms, Formula 1 is giving fans access to the inner workings of their favourite teams and drivers.

Is AWS working on any exciting new projects?
We’re working with Swimming Australia to identify innovation opportunities by leveraging big data technologies to collect, analyse, and share data, that can then be used to drive new projects that will bring swimmers, fans, and the community closer to the race action.

With AWS, Swimming Australia aims to optimise athlete performance at critical junctures of the race, create new swimming meet formats, connect the national tribe of swimmers to better identify talent, and provide more meaningful fan experiences.

How is tech changing the experience of sport – both for athletes and fans?
The emergence of cloud technology has helped drive faster adoption and real-world use of AI and ML technologies. Data analytics is definitely changing the way fans are consuming the sporting experience. Customers can integrate AWS AI and ML technologies into their applications now without having to purchase expensive, high performance technology hardware, and can get started in minutes, with no long-term commitments, and only pay for what they use.

For example, the NFL is working with AWS to power its player tracking programme, which is called Next Gen Stats (NGS). It uses sophisticated tracking technology collected via RFID devices in the shoulder pads of every player and embedded at each of its stadiums. These devices capture data about which players are on the field at a given moment, their location to within inches, and the speed and direction in which they move. This treasure trove of data represents a tremendous resource for the league’s 32 teams, multiple media partners and approximately 180 million fans worldwide.

Powered by Amazon SageMaker, the NGS platform allows the NFL to quickly and easily create and deploy ML models capable of interpreting gameplay. One example is NGS’s Completion Probability metric, which integrates more than 10 in-play measurements, ranging from the length and velocity of a specific pass to the distance between the receiver and the closest defenders – as well as the quarterback and nearest pass rushers.

Using Amazon SageMaker to build, train and run these predictive models helped reduce the time it takes to get to results by as much as 12 hours down to 30 minutes. The results help fans understand why some passing plays are more difficult than others and provide a more meaningful understanding of the game itself. These insights can quickly be used by the NFL and its media partners to enhance broadcasts and online content, or even to educate and excite fans inside the stadium.

Additionally, the NFL can then take these insights and apply them to different parts of the organisation, helping coaches create better game plans and finding ways to improve player safety.

Tell us about your work with Kayo
Kayo is offering new kinds of viewing experiences, such as personalised live streaming and video catch-up functionality, using AWS services – including AWS Elemental Live encoding and Amazon CloudFront.

For example, Kayo SplitView offers up to four events or camera angles on one screen on selected devices, while Kayo Key Moments captures highlights from matches, so sports fans can get straight to the action they want to watch.

Kayo provides a new way for Australians to experience sport, offering over 30,000 hours of content and game-changing features, with more than 50 sports events steamed instantly from Australia and other countries for viewing on iOS and Android mobile devices, laptops and PCs, and on TVs with Telstra TV, Apple TV and Chromecast Ultra apps.

The Kayo network is powered by Fox Sports Australia, ESPN, and beIN Sports.
What will sport look like in the future?
The future of sports will increasingly be more data-driven and powered by cloud technologies. With fans becoming more digitally connected, they want to be the first to be in on the action, follow their favourite teams, and consume sports from anywhere and on any device.

Cloud technologies provide the scalability to stream events live or host heavy data workloads and draw actionable insights through analytics.

Where can this technology take us?
We see this technology as an enabler in improving customer outcomes and ensuring sporting organisations remain relevant.

We’re entering a golden age of AI and ML and believe AI will revolutionise almost all aspects of technology – making it easier to do things that currently take considerable time and effort, such as deriving data insights to increase fan engagement and enhancing athlete performance.

It can also power everything from personalisation, language understanding, and computer vision, to big ideas like self-driving cars.

The cloud has spurred researchers and developers to experiment with new algorithms in deep learning and we’ll see advances in reinforcement learning and the auto-tuning of models across a wide variety of domains, even beyond the sporting arena.

Sign up here to get Fit Tech's weekly ezine and every issue of Fit Tech magazine free on digital.
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Featured supplier: Forget the ‘Netflix effect’ – it’s all about the ‘iFit effect’ to boost member retention
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In conversation: Toni Knowlson, Amazon Web Services

The digital innovation lead at Amazon Web Services, Australia and New Zealand, talks to Steph Eaves about smart balls, Formula 1 and fan engagement

Published in Fit Tech 2020 issue 1

How is Amazon Web Services changing the sports industry?
Amazon Web Services is working closely with local and global sporting organisations that are using AWS cloud, Artificial Intelligence (AI), and Machine Learning (ML) technologies to reimagine the sporting experience, deepen fan engagement, and achieve meaningful data insights to help athletes perform better.

In Australia, there are already promising examples of young local companies using AWS to innovate. Working from his garage, the owner of Queensland-based Sportcor, Ben Tattersfield, used AWS cloud to create a smart ball concept that can be used for cricket, golf and athletics and which displays useful details, including its spin and speed during play.

Tattersfield’s company is also planning to roll out its technology for other ball sports such as netball and rugby, as well as integrating it into equipment, such as helmets.

AWS also powers the data-driven sport of Formula 1 racing. During each race, 120 sensors on each car generate 3GB of data, and 1,500 data points are generated each second. Using our ML technology, Amazon SageMaker, Formula 1’s data scientists are able to train deep-learning models, which learn from 65 years of historical race data, to extract critical race performance statistics, make race predictions, and give fans an insight into the split-second decisions and strategies adopted by all the teams and drivers.

By streaming real-time race data to AWS using Amazon Kinesis, Formula 1 is able to capture and process key performance data for each car during every twist and turn of the race circuits. Then, by deploying advanced machine learning via Amazon SageMaker, Formula 1 can pinpoint exactly how a driver is performing and whether or not any drivers have pushed themselves over the limit. By sharing these insights through television broadcasts and digital platforms, Formula 1 is giving fans access to the inner workings of their favourite teams and drivers.

Is AWS working on any exciting new projects?
We’re working with Swimming Australia to identify innovation opportunities by leveraging big data technologies to collect, analyse, and share data, that can then be used to drive new projects that will bring swimmers, fans, and the community closer to the race action.

With AWS, Swimming Australia aims to optimise athlete performance at critical junctures of the race, create new swimming meet formats, connect the national tribe of swimmers to better identify talent, and provide more meaningful fan experiences.

How is tech changing the experience of sport – both for athletes and fans?
The emergence of cloud technology has helped drive faster adoption and real-world use of AI and ML technologies. Data analytics is definitely changing the way fans are consuming the sporting experience. Customers can integrate AWS AI and ML technologies into their applications now without having to purchase expensive, high performance technology hardware, and can get started in minutes, with no long-term commitments, and only pay for what they use.

For example, the NFL is working with AWS to power its player tracking programme, which is called Next Gen Stats (NGS). It uses sophisticated tracking technology collected via RFID devices in the shoulder pads of every player and embedded at each of its stadiums. These devices capture data about which players are on the field at a given moment, their location to within inches, and the speed and direction in which they move. This treasure trove of data represents a tremendous resource for the league’s 32 teams, multiple media partners and approximately 180 million fans worldwide.

Powered by Amazon SageMaker, the NGS platform allows the NFL to quickly and easily create and deploy ML models capable of interpreting gameplay. One example is NGS’s Completion Probability metric, which integrates more than 10 in-play measurements, ranging from the length and velocity of a specific pass to the distance between the receiver and the closest defenders – as well as the quarterback and nearest pass rushers.

Using Amazon SageMaker to build, train and run these predictive models helped reduce the time it takes to get to results by as much as 12 hours down to 30 minutes. The results help fans understand why some passing plays are more difficult than others and provide a more meaningful understanding of the game itself. These insights can quickly be used by the NFL and its media partners to enhance broadcasts and online content, or even to educate and excite fans inside the stadium.

Additionally, the NFL can then take these insights and apply them to different parts of the organisation, helping coaches create better game plans and finding ways to improve player safety.

Tell us about your work with Kayo
Kayo is offering new kinds of viewing experiences, such as personalised live streaming and video catch-up functionality, using AWS services – including AWS Elemental Live encoding and Amazon CloudFront.

For example, Kayo SplitView offers up to four events or camera angles on one screen on selected devices, while Kayo Key Moments captures highlights from matches, so sports fans can get straight to the action they want to watch.

Kayo provides a new way for Australians to experience sport, offering over 30,000 hours of content and game-changing features, with more than 50 sports events steamed instantly from Australia and other countries for viewing on iOS and Android mobile devices, laptops and PCs, and on TVs with Telstra TV, Apple TV and Chromecast Ultra apps.

The Kayo network is powered by Fox Sports Australia, ESPN, and beIN Sports.
What will sport look like in the future?
The future of sports will increasingly be more data-driven and powered by cloud technologies. With fans becoming more digitally connected, they want to be the first to be in on the action, follow their favourite teams, and consume sports from anywhere and on any device.

Cloud technologies provide the scalability to stream events live or host heavy data workloads and draw actionable insights through analytics.

Where can this technology take us?
We see this technology as an enabler in improving customer outcomes and ensuring sporting organisations remain relevant.

We’re entering a golden age of AI and ML and believe AI will revolutionise almost all aspects of technology – making it easier to do things that currently take considerable time and effort, such as deriving data insights to increase fan engagement and enhancing athlete performance.

It can also power everything from personalisation, language understanding, and computer vision, to big ideas like self-driving cars.

The cloud has spurred researchers and developers to experiment with new algorithms in deep learning and we’ll see advances in reinforcement learning and the auto-tuning of models across a wide variety of domains, even beyond the sporting arena.

Sign up here to get Fit Tech's weekly ezine and every issue of Fit Tech magazine free on digital.
Gallery
More features
people

Richard Hanbury

Founder and CEO, Sana
I was in Yemen, close to the capital, Sana’a, when I had the accident that put me in a wheelchair and gave me a chronic nerve damage pain problem. This led me to develop the underlying technology of Sana
interview

Sharon Hegarty, Samsung

We’ve worked with ecosystem partners, such as Calm and Fitplan, to bring their expertise to our devices
interview

PureGym

We’ve been ranked number two on the App Store for health and fitness, second only to Fitbit
interview

Paul Bowman, Wexer

The future of fitness is hybrid, says the CEO of Wexer. He shares his thoughts on why and how the industry should embrace this change
interview

Daniel Sobhani, Freeletics

Our company vision is to challenge and inspire people to become the greatest version of themselves. And I firmly believe that this can be achieved through what we do
people

Patrick Lucey

VP of AI, Stats Perform
We can capture tracking data from historical videos, enabling us to do large scale comparisons of players, such as Michael Jordan, across eras
interview

Digital ecosystem

The digitisation of the sector was going to happen anyway. COVID-19 has simply accelerated the digital transformation
interview

Will Ahmed, Whoop

Whoop is taking wearable technology to the next level, providing deeper insights into individuals’ physiology and enabling optimised training. Founder and CEO Will Ahmed talks to Steph Eaves about the importance of personalised feedback

Create your own energy

A breakthrough in technology means wearable devices and other health and fitness products could soon be self-powered. Steph Eaves talks to Dr Ishara Dharmasena to find out how this could impact health and fitness
interview

Forme Life: Trent Ward & Yves Béhar

We have such a timeless design that this product will fit into the home for a long time
people

Ian Mullane

Founder, Keepme
Using predictive and machine learning models, operators can hyper-personalise engagement

Fighting COVID-19

In the aftermath of the pandemic, people will be more aware of the importance of their health and the strength of their immune system. Can fit tech alert users to potential immunodeficiencies or symptoms? And might these products assist governments? We asked industry leaders for their predictions
HID Global
HID Global