How auto giants are using big data: A conversation with Ford - TechRepublic

Getting ready to step into the self-driving Ford Fusion in Dearborn, MI. These technological advances, which are dependent on the machine learning branch of AI, rely on the data collected by car companies--data from real miles driven, such as with Tesla's Autopilot, data from simulations of autonomous driving, and data from test situations, such as Uber's driverless fleet in Pittsburgh. Big data, said Michael Cavaretta, director of analytics infrastructure at Ford Motor Company, means data that is "too big to easily handle within your computational resources." It's about looking at datasets with "high velocity, high volume and high variety," he said. And as computers have become more powerful and storage is cheaper, grappling with this data has become more difficult.