Using Python and JavaScript, Uber’s science team has built a logistics framework that – in addition to facilitating delivery of ice cream, roses, and mariachi bands – predicts demand, and uses that data to get the right amount of cars on the road, in the right places, at the right time. All this adds up to accurate estimated times of arrival, or ETAs, for urbanites worldwide.
Check out the video of Curtis’ talk to learn more, and witness an epic Q&A session with answers to questions we’ve all wondered about, such as “What’s the deal with surge pricing?”, “How do you decide which cities to launch in?”, and “Is Uber getting driverless cars?”.
Be sure to claim your spot for our talk on November 5: The Platform Holy Grail, with Bjorn Freeman-Benson, software psychologist at New Relic. Click below to sign up:
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