Uber is one of many examples we’ve discussed on this show that has changed the world with big data analysis. With over 8 million users, 1 billion Uber trips and people driving for Uber in over 400 cities and 66 countries, Uber has redefined an entire industry in a very short time frame.
It’s difficult to find precise details about Uber’s big data infrastructure online, but we know they collect every possible data point about their drivers and riders. Matching riders and drivers, setting ride fares, predicting demand for cars – these are some examples of what Uber does with its data. In this episode we talk with Kevin Novak about Uber’s data science. What are some key details about their data infrastructure? What can people expect in the future from their data methodologies? How did a tech conference in Paris turn into one of the fastest growing, highest valued startups in the world?
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