Advanced analytics and digital technologies play a critical role in tackling climate change head-on. Just as they help businesses – including Envision Racing – improve performance and customer or fan experiences, they also uncover ways to slash waste and build more sustainable practices.
Our ice car told a chilling version of that story. As the sculpture melted, we challenged the public to predict how much ice we would lose in 24 hours.
Our data scientists were hard at work too. They created the Melt Estimate Generator – or MEG – using AI-powered algorithms similar to the ones we built to help the team win races. We trained MEG in the intricacies of melting ice and fed it data on the local temperature, wind speed, and footfall so it could forecast how much of the car would disappear. It settled on 68.86%.
Our human predictors on Twitter sent us their considered guesses too. And for every prediction, we donated to the Arctic Ice Project, a fascinating organization that's working to restore ice in the North Pole and shore up the Earth's natural heat shield. I'm thrilled that we raised $10,000 to support the project's pioneering work.
Twenty-four hours after Melting Point began, it ended, and we measured the final melt. The car was 66.01% smaller. MEG came close! And our nearest Twitter guess came in at 63.5%, which has earned the winner grandstand tickets to a Formula E race of their choice next season.
See how the day unfolded in our short recap: