Last night, while tennis star Roger Federer took Marinko Matosevic to school in Queens, IBM processed the data captured from the first serve to match point.
It was one of many matches at the US Open tennis tournament being analyzed and visualized, for fans and the pros alike, through mobile apps and cloud-based technology.
IBM worked with the United States Tennis Association, the tournament’s organizer, to put a data spin on the game. Sensors around the courts tracked such statistics as the speed of the serves at the beginning of play and when a player scored.
As one might imagine, this kind of sophisticated data processing is useful in more places than the tennis court. “We happen to analyze tennis data for patterns,” IBM sponsorship marketing manager John Kent said. “That could also analyze insurance claims for fraud.”
IBM also has analytics systems in place with the New York City Police Department for video and data to determine hot spots for crime and where to put their resources, he said.
For the US Open, IBM is analyzing more information while trying to keep the interface easy for regular people to understand. That way, fans can look up how many unforced errors a player had in a match and then take a deeper dive into the statistics via new mobile apps, released today, the company developed for the tournament.