190704-NTT-ASO-Innovationinaction.Pdf
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Millions of fans all ‘ over the world are now connected. We need to make sure we can make‘ them part of the greater race experience. Yann Le Moenner, CEO Amaury Sport Organisation News and sport Sporting events Sports media publications 70 250 days 21 countries 311 events of competition every year employees A century of innovation A.S.O. has continuously 2007 Hired community manager for social media transformed its fan experience From the living room to the stadium and beyond Reaching fans in new ways through the power of the ‘live’ moment Telekom Dome mobile app | Germany Snaptivity | Manchester City, EE 5G | Wembly stadium Chelsea and Wembly Why creating a compelling fan experience is important 72% 73% 4 in 5 3 in 4 of fans say its fans access sports fans have posted to of fans use important to access content on their social media while mobile devices in sporting content smartphone while watching live sports the stadium whenever they want watching sports on tv Fans are The amount of time people spend 2x 75% 30% watching sports have watched a of fans stream “interview” videos more likely to share replay on their games to their has risen photos from the phone while at phones or tablets stadium than from the venue the home +60% The start of A.S.O.’s journey of innovation… Data collection Data processing and analytics Telling stories with data Third party data Race Center Machine learning Live streaming Social media and Apps Data analytics and visualization Live TV Client Experience Centre In-car solutions Big Data Truck Commentators VIP arrival village screens Management and live monitoring letourdataletourdata Following @letourdata@letourdata Riders slow down by roughly 20km/h when picking up musette bags during the feed zone. #TDFdata #TDF2015 Phil Liggett @PhilLiggett Phil Liggett used this tweet Live speed data on in his commentary during a television for the live broadcast 2015 first time in cycling history Richer commentary RETWEETS FAVOURITES information for television 1,037 403 broadcasters and commentators 2015 Data created conversation Recorded top speed on descent as: letourdata Mark Cavendish letourdata@letourdata Following @MarkCavendish @letourdata Speed was Michal Kwiatkowski 93.38 km/h The crash in data – from within @michalkwiatkowski Always a little bit pleasing to see (Valverde) @DimensionData truck. Average doubted until the other side of 100kph... speed during fall was 42.03 km/h. @MarkCavendish 102,2km/h This was following @michalkwiatek #TDFdata #TDF2015 other riders down Tourmalet 31,801 engagements tweeted their = doubled followers on @letourdata own speeds... which were higher... RETWEETS FAVOURITES 1,037 403 letourdata Using data to track the letourdata @letourdata The stories @letourdata impact of weather conditions on the race behind the Acceleration heat-map from yesterday’s The 187 riders will have to contend with wind sprint finish. Kittel went faster… but too early. again today – gust of up to 60km/h Dimension Data #TDFdata #TDF2016 #TDFdata #TDF2016 sprint finishes… @letourdefrance Dimension Data @letourdefrance At the end of a long day in the saddle, it’s all in the strategy, power, energy, experience, and timing to see who has what it takes. 2016 … and the stories behind Dimension Data the biggest climbs letourdata @letourdefrance @letourdata Broadcasters request custom data Froome’s final descent: Average speed: Dimension Data and insights for TV and social media @letourdefrance 62.5km/h. TOP SPEED: 90.9km/h! #TDFdata #TDF2016 Telemetry data and @letourdata tweets appear on TV broadcasts (Eurosport) Dimension Data @letourdefrance Rien vs Machine – Week 1 Prediction Final Result Prediction Final Result Tony Martin Stage 1 Primoz Roglic 65th Place 4th Place (picked 2 of top 5) Marcel Kittel Stage 2 Marcel Kittel 1st Place 1st Place (picked 4 of top 5) Peter Sagan Stage 3 Greg Van Avermaet 4th Place 1st Place (picked 3 of top 5) Marcel Kittel Stage 4 Mark Cavendish 186th Place 13th Place (picked 3 of top 5) Chris Froome Stage 5 Romain Bardet 5th Place 3rd Place Using data to (picked 4 of top 5) Marcel Kittel Stage 6 Sonny Colbrelli 84th Place 1st Place predict likely (picked 4 of top 5) Marcel Kittel Stage 7 Arnaud Demare 11th Place (picked 2 of top 5, all 5 predictions in the first 1st Place outcomes 11 places) Steve Cummings Stage 8 Serge Pauwels 40th Place (0 out of 5 – Predictions lined up with experts, 179th Place but very complex stage) Chris Froome Stage 9 Alberto Contador 20th Place 3rd Place (picked 2 of top 5) Rien 2 – Machine 7 2017 Dimension Data Dimension Data Dimension Data Introducing animations @letourdefrance @letourdefrance @letourdefrance that drove deeper insight into the race 2018 Taking data analytics to the broadcast 2019 most data rich Tour de France in history Augmented Reality An interactive iPad app that allows users to view the course and live race data in 3D and walk around it. Man vs Machine A fantasy sports game that pits players against each other and the #NTTPredictor’s daily stage favorite predictions. It will be made available for all NTT staff to play, as well as our clients at the race. Le Buzz A machine learning model that studies movement and shape of the peloton and predicts potential key race events such as attacks, changes in pace, or potential for crashes. Doing more Wolf Pack 10 9 with data 8 7 Continuing to evolve our Machine 6 5 Learning to make the complex simple Mountains 4 Team Strength Experience 3 Live Stage Favourites NEW 2 1 GC Favourites NEW Le Buzz NEW Rider and Team Profile Clustering NEW Stage Favourites – 3rd Generation 29 input features as input to a model 150,000 decision trees GC Strength Sprint Strength Over 60,000 unique decision nodes! Catch the Break – 3rd Generation 500 stacked random forests of decision trees Unique models for every 10km section of the course. In-Car Live Dashboard using Edge Processing An edge data processing, streaming analytics and visualisation engine situated in car to eliminate data back haul in telco “dead zones” We will be trialling an initial beta solution in the Comprised of containerised Apache NTT client vehicles, open source technologies and with the intent to visualisation through an offline develop a solution version of NTT Insights. with ASO that can be used by the race commissaires. How we enable the connected future for the Tour de France We partner with organizations globally to shape and achieve outcomes through intelligent technology solutions. For us, intelligent means data driven, connected, digital, and secure. Disrupt and transform your future with Intelligent Innovation Managed Services Support Support Services Technical and Technical Accelerate business Empower and connect your Drive business agility Predict, detect, and respond transformation with workforce with an with with Intelligent Business Intelligent Workplace Intelligent Infrastructure Intelligent Cybersecurity secure by design secure by design secure by design secure by design Consulting Consulting Services ICT Infrastructure Services Managed services Scope increase while support budget decreases Scope Change increase by 364% 9 innovating 8 with data using data to predict 7 likely outcomes 6 5 telling great stories with data Cost to support reduced by 4 reduced by 42% 3 2 making data available 1 0 2015 2016 2017 2018 2019 Total Budget (,000s) Scope Together we do great things .