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Changing the game
How analytics and artificial intelligence (AI) are influencing the world of sports and beyond
Behind the scenes, on the playing field, and in the grandstands, artificial intelligence is changing the world of sports for professionals, amateurs, and fans alike.
December 14, 2018
A blog post by Pete Giorgio, principal, Deloitte Consulting LLP.
It's a natural fit: The world of sports thrives on statistics, new data is constantly being generated, and high levels of competition drive constant innovation and exploration of new technologies. Applying artificial intelligence (a term used interchangeably with cognitive technology) to automate processes is adding value and driving disruption in every industry. In fact, in a recent Deloitte survey, those who have already begun adopting and using cognitive technologies are highly enthusiastic about the role of these technologies in their organizations—today and in the future.1 For sports organizations, technology illuminates valuable insights that help improve performance, accuracy, and efficiency. Fans and sports enthusiasts are enjoying increased engagement, improving their own play, and simply having more fun.
Here's a closer look at how artificial intelligence is changing the game in sports and beyond.
Automating data collection and analysis. AI applications, including robotic and cognitive automation, make it possible to collect data from thousands of sources and facilitate value-added analysis. College and professional sports organizations, like baseball, basketball, football, and soccer, are widely using machine learning platforms to compile athlete data, evaluate individual performance, and target recruiting efforts. Once mostly limited to game scores and player stats, the data available to sports organizations has exploded, thanks to innovations in sports science and new technologies like motion recording and sensors.2 Cognitive technologies now help teams to better understand and reduce the risk of injury by giving physicians the tools to search medical records and identify common risks, then optimize training.
Generating insights. AI-related technologies allow organizations to mine the data they are collecting to generate cognitive insights and make sharper and faster decisions. Sports organizations, like the
Engaging fans. Today, consumers everywhere expect a more personal experience, and sports fans and participants are no exception. AI technology is helping sports organizations with cognitive engagement, allowing organizers and sponsors to better connect with customers, anticipate needs, and spot potential issues. As fans become more digital, social, and mobile, leveraging artificial intelligence for engagement allows them to engage with players and events, increasing participation, generating additional revenue, and building loyalty. Even manufacturers of equipment, from running shoes to tennis racquets, are delivering new ways to interact with customers and create exceptional experiences.
At the 2017 US Open Championship at Erin Hills, Deloitte and the United States Golf Association (USGA) used analytics and cognitive technologies to personalize the fan experience by collecting and analyzing data at the event. A mobile app allowed fans to track their favorite players and explore data about other competitors. A heat map, generated from the location-sensing technologies, allowed fans to gauge the fan density at each hole to help determine the best place to watch their favorite players. It's an application of automation, insight, and engagement, and it's only one way that cognitive technologies are helping to deliver powerful new outcomes to the world of sports. Learn more about how analytics and AI are creating value and delivering a competitive advantage on the playing field and beyond.
1. Deloitte, 2017 state of
2. Benjamin Alamar and Vijay Mehrotra. “Beyond Moneyball: Rapidly evolving world of sports analytics.” Analytics Magazine. September/October 2011.