LUCA Artificial Intelligence of Things, how things plan to make our lives simpler Just as in the Grimm Brothers fairy tale where two little elves teamed up to help the cobbler have a better life, Artificial Intelligence and IoT, Big Data technologies...
Patrick Buckley The Hologram Concert – How AI is helping to keep music alive When Whitney Houston passed away in 2012, the world was shocked by the sudden and tragic news of her death. Fans gathered around the Beverly Hills hotel in Los...
Ana Zamora 5 LUCA events for your diary It’s been a busy month here in LUCA HQ, with lots of things going on such as the presentation of our analytics dashboard to the Movistar cycling Team and...
LUCA Expert Systems in the World of Medicine Written by Sergio Sancho Azcoitia, Security Research en ElevenPaths Since its appearance a few years ago, expert systems have been applied in different fields. Due to their effectiveness they have...
LUCA Deep Learning and satellite images to estimate the impact of COVID19 Motivated by the fact that the Coronavirus Disease (COVID-19) pandemic has caused worldwide turmoil in a short period of time since December 2019, we estimate the negative impact of...
LUCA Success Story: LUCA Transit and Highways England The transport industry is very receptive to the application of Big Data and Artificial Intelligence strategies, as there are clear use cases that can maximize a companies’ efficiency and...
LUCA Can Big Data reshape the Outdoor Media sector? Out-of-home (OOH) adspend in the UK rose to £1 billion 2014, and is predicted to grow by 4.8% in 2016 according to a recent report. To ensure they benefit...
LUCA Movistar Team: the best cyclists, the best behind the scenes team, the best strategy and Big Data By Mikel Zabala, PhD (Sport Scientist, Lecturer at Granada University and member of the team of trainers for the Movistar Team), Javier Carro (Data Scientest en LUCA), y Pedro...
How these 4 sports are using Data ScienceRichard Benjamins. 15 February, 2017 Thousands of companies around the world may have started their journey to become data-driven, harnessing the full potential of Big Data, however, the world of professional sports is only just starting to explore this world of applying Data Science to gain a competitive advantage. Until now, sports coaches have been able to boast about their experience or their gut feelings when making decisions and have therefore been somewhat resistant to the world of Big Data – something which we all saw so perfectly illustrated in Moneyball where Brad Pitt shows the tension between human experience and data-driven. However, things are changing – and slowly but surely we’re starting to see a lot more research around the role of data in sport as well as an increasing number of jobs working directly with professional sports teams to enhance their performance. But which sports are leading the way? We took a look: 1. Formula 1 As our CDO, Chema Alonso, mentioned the other day in a talk with the Movistar cycling team, Formula 1 teams are pioneers when it comes to data-driven decisions. With every race generating huge amounts of data, on the track, vehicles, conditions and drivers – Williams saw a unique opportunity. They optimized team pits-stops by taking bio-metric measurements from the technical team allowing them to understand when each team member functions optimally. Eventually, they ended up reducing their pitstop time to 1.92 seconds – the fastest ever recorded. Figure 1: Formula 1 team 2. Football Some years ago, we obtained some data from the Spanish football league for the 2012-2013 season, allowing our Data Scientists to carry out an in-depth analysis. The data was generated by cameras that take up to 10 photos per second, and are post-processed so that individual players can be identified. In the figures below you can see heatmaps of Barcelona vs Atletico Madrid. The area represents the field, and the goal of the team is located in the pointed parts with the darkest colours. The darker the color, the longer the players are at a certain location. It becomes immediately clear that Barcelona were more of an attacking team throughout that season, unlike Atletico who tended to have a more defensive approach. Figure 2: Barcelona’s pitch activity (left) vs Atletico Madrid’s pitch activity (right). It was also possible to follow individual players, and in the images below we can see the paths of two players throughout a match. The green points show that the player ran at approximately 5 m/s (the equivalent of running 100m in 20 seconds) and red points at approximately 7 m/s. It is clear that the first players runs much more than the second, but what does that mean? That the first player is better than the second? That they have different roles? Looking at only this data, if you were the trainer, which player would you prefer to buy? Figure 3: The “work rate” of Xavi Hernandez (left) vs Leo Messi (right). Well, the first player is midfielder Xavi Hernandez, and the second player is Leo Messi, who doesn’t need any further introduction. 3. Cycling More recently, we had the opportunity to analyze data from the 2016 “Vuelta a España“, looking at Movistar Team’s performance. We had access to the data of 8 cyclists from the team throughout the 21 stages from start to finish. Every second, 7 types of data of each cyclist are captured resulting in more than 2 million data feeds. The variables captured, include location, altitude, force, speed, heart rate and pedal rate. Figure 4: The Movistar Team looking at their Big Data. With this data, apart from analyzing individual cyclists, it becomes possible to analyze how the team works together, and to understand and compare different stages. Looking at the data, it becomes very evident how professional cycling is a team sport with differentiated roles for the different team members: today it is impossible to win one of the main competitions “flying solo”. What we have learned is that it is important to: Understand when team members peak in terms of performance so that training can be planned for peaks to coincide with competitions. Determine the context variables (altitude, weather), the training variables and the personal cyclist variables which impact most in the cyclist’s performance and subjective experience. Combine the roles that cyclists play in the different stages with performance and fatigue variables to plan the recovery of the cyclists and the next stages during the competition. 4. Cricket Cricket, which is the most popular sport in India, and the second most popular sport in the world is also embracing the growing value of Big Data. IBM launched their #ScorewithData campaign during the Cricket World Cup which included a Social Sentiment Index which predicted correctly who would win certain phases of the tournament. The England Cricket team have also been pioneers and their ex-team coach, Peter Moores, even said “we use advanced data analytics as the sole basis for some of our decisions – even affecting who we select for the team.” Nathan Leamon, who was hired by the new head coach for his expertise in maths and statistics, also used to create spreadsheets using Hawk-Eye technology to run match simulations which ended up being accurate to within 5% – breaking the field up into different segments for players to target when batting. Figure 5: Big Data in the world of cricket. As you can see, Big Data and Data Science aren’t just limited to the world of big business – they are in fact affecting every single part of our lives. In the context of sport, the most successful will embrace data on and off the field if they want to fill up their trophy cabinets any time soon. These 4 people are using Big Data to find their ValentineElevenPaths joins Saint Patrick Technology to offer security solutions based on the latest Big Data technologies
Patrick Buckley The Hologram Concert – How AI is helping to keep music alive When Whitney Houston passed away in 2012, the world was shocked by the sudden and tragic news of her death. Fans gathered around the Beverly Hills hotel in Los...
Patrick Buckley Robot Waiters – The future or just a gimmick? As we continue to battle the COVID-19 pandemic, the hospitality industry is looking to technology as a way to keep workers safe. Could robot waiters be the answer? In...
Patrick Buckley How will AI change the labour market for the better? From the way we shop, to the way we learn, the digital world in which we live is unrecognisable from the reality of a decade ago. One area which...
Patrick Buckley How AI is helping fashion retailers stay afloat With an estimated current global market value surpassing 406 billion USD, the fashion industry is one of the most significant yet vulnerable industries out there. In an ever-worsening socio-economic...
LUCA La transformación digital en la gestión del agua, ahora más que nunca Hoy en día mantenemos la incertidumbre de cuándo dispondremos de una vacuna o cuál será el impacto real en la sociedad y en la economía que nos deja esta...
Patrick Buckley Thanks to AI, the future of video-conferencing is in sight. Throughout the COVID-19 pandemic, video-conferencing has become the backbone of both our work and social lives. Today, on #WorldHugDay, we take a look at some of the ways in which...
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