Start Your Semantic Engines: TrueCar Looks To Foster Transition Of Vehicle Data From Flat To Structured And Enhanced
Back when he was VP and CTO at Hearst Interactive Media, Mike Dunn advocated the use of semantic technologies for media organizations to rocket-boost their control over content, both for internal operations and for presenting a better face to users out there on the web. (See our story with his insights on that here). Now, Dunn has recently made the move to Truecar, an eight-year-young start-up focused on improving the car-buying process. As CTO, his mission is to modernize its data stack.
How do the two worlds of media and automotive connect? “There’s definitely a connection if you think about content as data,” Dunn told The Semantic Web Blog during a few free moments at the recent Semantic Technology and Business Conference. And, TrueCar gets “the importance of data, even though you don’t always have to throw the semantic web [phrase] in there. But things like sentiment-enhancing and context – those are useful words that don’t confuse people.”
Today, says Dunn, much of the data around vehicles, sales processes, and how cars are customized or configured tends to be fairly flat – that is, either unstructured and/or proprietary, but doors open up when it gains meaning — becomes structured, enhanced and openly known and leveraged from an industry perspective. “That transition, which we believe we’ll be able foster, will allow the creation of additional enhancing services to consumers and the industry at large,” he says.