Machine learning comes to Tour De France

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Machine learning comes to Tour De France

At this year’s mega cycling event, Dimension Data’s data analytics will incorporate machine learning and combine live and historical race data to provide deeper levels of insight.

Amaury Sport Organisation (ASO), organizers of the Tour de France, and Dimension Data, the official technology partner of the Tour de France, has announced the introduction of machine learning technologies at this year’s Tour de France to give cycling fans across the globe an unprecedented experience of this year’s event. The race begins in Düsseldorf on Saturday, 1 July and finishes at the Champs-Élysées in Paris on 23 July.

This year, Dimension Data’s data analytics platform, which was developed in partnership with A.S.O., incorporates machine learning and complex algorithms that combine live and historical race data to provide even deeper levels of insight as the race unfolds. Fans will also benefit from rider profiles to understand more about environments and circumstances in which riders perform best. A.S.O. and Dimension Data are exploring the role of predictive analytics technologies to assess the likelihood of various race scenarios, such as whether the peloton will catch the breakaway riders at certain stages of the race.

 “As more technology is introduced into the sport, the viewing experience is transforming, and its popularity increases. What’s especially exciting for us is how we’re helping ASO to attract a new generation of digitally savvy fans, and how advanced technologies like machine learning are opening up new possibilities for providing the insights that today’s fans demand,” said Scott Gibson, group executive of Digital Practice at Dimension Data.

At the core of the live tracking and data analytics solution are GPS transponders installed under the saddles of each bike. The data collected from these transponders is combined with external data about the course gradient and prevailing weather conditions to generate insights such as live speed and the location of individual riders, the distance between riders, and composition of groups within the race.  This year, the solution will create and analyze over 3 billion data points during the 21 stages of the Tour, a significant increase from last year’s 128 million data points.

Christian Prudhomme, director of the Tour de France, A.S.O. said, “Today, our followers want to be immersed in the event. They’re more digitally engaged on social media than ever before and want a live and compelling second-screen experience during the Tour. Technology enables us to completely transform their experience of the race.”

The enhanced Tour de France solution uses a fully cloud-based, virtualized data center which provides scale, and means fewer people are required on the ground to enable the solution. The cloud also provides geographic flexibility because it can be managed from anywhere in the world. This year, Dimension Data’s technical teams work together across four continents via hyperconnected mobile collaboration hubs equipped with the latest digital and virtual workplace technologies.

Cybersecurity is also a top priority for the Tour de France. During the 2016 race, Dimension Data’s cloud-based security system flagged 1,409,769 suspicious access attempts which were blocked.

Source Computerworld

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