Billed as the United Kingdom Sports Analytics Conference (SAC UK) and part of the 2017/18 Sports Analytics World Series, the event will showcase cutting-edge ideas and innovations in sports analytics and sports technologies. The conference will offer delegates the opportunity to learn from technical experts, practitioners and some of the world’s hottest start-ups across fields including technology, stadia, marketing, fan engagement, wearables, sports high performance, virtual reality, artificial intelligence, media entertainment, internet-of-things and wellness.
Amongst the speakers are Loughborough Professor’s Andy Harland, James Skinner and Michael Caine as well as representatives from KPMG, IBM and Microsoft. England Rugby, Sportradar, Genius, Arsenal FC, Chelsea FC and Manchester United are also participating.
Professor James Skinner, Director of the Institute of Sport Business at Loughborough University commented:
“This global conference brings together leading industry and academic experts to discuss current and future trends in sport technology and data analytics to provide delegates with new insights of what this means for the future of sport business.”
Ryan McCumber, Director of Global Sports Analytics at KPMG said:
“The Sports Analytics World Series concept was hatched two years ago to showcase to the world the cutting-edge ideas and innovations in sports analytics and sports technologies. Having successfully run a Sports Analytics Conference in Melbourne a couple of years ago, we decided to create the Sports Analytics World Series.
“This year we have held events in Melbourne and Mumbai and the next one is in London. In 2018 we plan to add Tokyo, Shenzhen, Amsterdam and Singapore to the annual circuit. When we began evaluating who we wanted to partner with, Loughborough University London was number one on the list and we are honoured to begin to bring them along for this journey."
Loughborough University staff and students can take advantage of a 30% discount on the conference fee, by using the codes below:
Staff - LU5893B
Student - LU4492C
For more information please head to https://www.analyticsinsport.com/uk/