Quartz’s Lyft story isn’t the most groundbreaking work of journalism in the world, but it’s an interesting proof of concept about how reporters can leverage new tools to pull interesting takeaways from otherwise dry public records — and, perhaps, a preview of things to come.
“This is taking [data journalism] to the next level where we’re trying to get journalists comfortable using computers to do some of this pattern matching, sorting, grouping, anomaly detection — really working with especially large data sets,” John Keefe, Quartz’s technical architect for bots and machine learning, told Digiday back when the Quartz AI Studio first launched.
READ MORE: Here’s what Lyft talks about as risk factors that other companies don’t [Quartz].
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