College students Tabatha Fajardo, Jay Ram and Kyra Varnavas give their take on the development of AI in the classroom on'The Story.' Sports fans are being introduced to multiple uses of artificial intelligence as they tune in to watch their favorite players and teams. Video-assisted technology helps referees make calls. Thousands of cameras were tracking the action across multiple stadiums during last year's World Cup. Teams across all the major U.S. professional sporting leagues rely on algorithms to gather data points on ticket sales. And motion sensors are attached to balls and hockey pucks.

I like to watch rugby, even though I know very little about it. They rightfully believe they're talking to people who watch rugby a lot, so they feel no need to address me, personally, with rugby-for-dummies spiels that might give me an appreciation for the game. But emerging technology could soon solve my problem. Some companies are working on AI that will generate custom sports commentary, which means I could potentially tune into a streaming rugby game and listen to a human-sounding, AI-driven robot commentator that already understands my level of rugby savvy. Maybe my robot commentator will patiently explain the difference between a blood bin and a tight head.

Deep learning technology has impacted almost every other industry. Deep Learning is helping businesses associated with sports to expand. From NHL to MLB, NBA, NFL, and NASCAR, almost every major sports league in U.S.A is now incorporating AI to expand its business. According to Statista, the North American sports market is predicted to reach $80.3 billion in 2022. The revenue may come from merchandising, gate revenue, media rights, and sponsorships. There are many different areas in the sports industry, where AI plays an important role.

Stats LLC, a Chicago sports data and technology company, is creating artificial intelligence to be used in sports broadcasts.