Technology continues to change our lives in many ways. Consider the world of sports. Gone are the days when couch-bound sports fans or fans in attendance at arenas and stadiums took in games with their eyes only. Key advances in mobile and social computing provide great opportunities to engage fans
What can predictive analytics do for a sports club? Behavior-based predictive analytics technologies provided by IBM are poised to help the Ottawa Senators professional hockey club understand better than ever before the individual consumers who make up its fan base.
From the general session to the Hack the Weather finals, attendees at Insight 2015 enjoyed an embarrassment of riches on day two of the conference. Read on for a rundown of the sessions and events that made the second day of Insight a resounding success.
In this article, I will examine the prior probabilities that Stanislas Wawrinka, or a player with a similar seeding in the tournament, would go on to win the 2014 Australian Open. I will also review any prior matches similar to the final between Stanislas Wawrinka and Rafael Nadal to determine his
When IBM became Roland-Garros's technology partner in 1985, the future looked exciting. Amazingly, the past 28 years have delivered more innovations and more advanced technologies than we could have imagined
An injured player isn't the only one who feels the pain. The loss of a key team member can negatively impact a club's chemistry, record and fan attendance. Looking to prevent injuries before they happen, the Leicester Tigers rugby team turned to IBM predictive analytics.
These days, Big Data and Analytics helps meet the insatiable hunger for player, team and league stats and analysis, on and off the football field. IBM is powering new consumer experiences with advanced real -time analytics. This ensures that the customers are offered newer ways to enjoy the game,
It seems to me that we just finished up this summer’s Wimbledon tournament and now the US Open is already upon us.
There are a number of differences between the two tournaments, and the most obvious of these is the playing surface; the US Open is played on a hardcourt surface while Wimbledon is
IBM software and expertise analyzes more than 41 million data points to determine the top three "Keys to the Match" for Grand Slam tennis tournaments. That same predictive analytics technology is used every day by leading organizations to solve their most pressing business challenges.