In this post, I cover the data science which went into the analysis of mountains of data before, during and after the America’s Cup races. Oracle invited me and a few other analysts to witness a few races last weekend in Bermuda. It is a vendor of many of the technologies used by the USA team. In Part 1, I wrote about the design thinking and material science which has gone into the AC yachts. In Part 2, I discussed the extreme athletic conditioning and performance of the crews. In Part 3 I covered the broadcast technology which brought the races to millions of fans around the world.
Spurred by Moneyball, every sport is seeing an explosion of data – injury analytics, fan analytics and stadium revenue analytics among others. ESPN and other networks have come up with new metrics and acronyms like WAR in baseball that fans have embraced. MIT hosts an annual Sloan Sports Analytics conference. Even benchmarked against the data gathered over decades in other sports, I would venture to say the data collected and analyzed during the AC was an order of magnitude greater.
The USA team said they collected as many as 40,000 data points per second. That could amount to 500 gb of data from each practice run. Much of that came from sensors like the MEMS which measure aerodynamic pressure at 400 points on the sails, the monitoring harnesses on the crew members and the video from the on-board cameras and those on chase boats and drones. They used Oracle Exadata and Oracle R Advanced Analytics among other technologies to crunch and process the data.
Some of the data applications included:
Design and adjustment of the yacht – There was simulation through virtual wind tunnels and towing tanks using computational fluid mechanics. That required solving among others, Navier-Stokes equations which describe flow patterns in various liquids. Data from each run was also used to make adjustments to the yacht as the video below describes
Weather mapping – In the lead up to the AC finals, the teams had collected over months, millions of weather data points in and around Bermuda’s Great Sound. This is far more granular data than anything meteorology agencies track.
Crew monitoring – sensors captured heart rate, perspiration, lactic acid levels, wattage the grinders were generating and other data to help them fine tune their diets and techniques.
Race playbooks – while each team was coy about the tools and data available to the crew during the races, most had tactical tools like the Land Rover BAR team’s in video below
Broadcast – The largest data volumes came from hours of raw video feeds from helicopters, drones, chase boats and on-board cameras and the data for the LiveLine augmented reality superimposed on the frame. The photo below shows the multiple feeds into the Ross Mobile Productions’s Future is Now 5 (FIN5) production van (they supported the NBC coverage of the races). We only got to see one at a time on our TVs or mobile devices.
Drowning in data would be an appropriate metaphor for the AC. But that would be grossly unfair to the teams which used the data to literally fly in and out of the water. And exposed a new generation of fans to metrics like velocity made good.
FastCompany’s Most Creative People
The magazine’s annual top 100 list is out, with the first 10 below.
Well worth perusing the entire list rethinking everything in life.
June 24, 2017 in Industry Commentary | Permalink | Comments (0)