By Andrew Nichols, IBM Communications
Each year, USOpen.org transforms into a massive, data-hungry environment that serves millions of tennis fans. During the two-week tournament, the USTA needs to expand its infrastructure to meet these demands, which can be challenging to plan for and predict.
“With sports events like the US Open, there is a lot of uncertainty,” O’Connell explained. “Depending on what happens on the court, a tournament day can range from extremely exciting to, ‘Wow that has never happened before in the history of the world.’ The infrastructure needs to be prepared for any scenario.”
Over the past few years, much of O’Connell’s work has been focused on better allocation of behind-the-scenes resources. This year at the US Open, IBM will use a new technology, a combination of predictive analytics and cloud technologies, to increase reliability of these systems.
“This new environment harnesses Big Data generated during the matches and uses predictive analytics to automatically adjust our resources to meet demands,“ O’Connell said. “Our cloud is designed to be resilient in the face of any failure scenario you can imagine.”
So as sports fans around the world enjoy hours of streaming video, real-time analytics, and match insights in a seamless online environment, know that Big Data analytics and cloud are hard at work behind the scenes to make it all possible.