The automotive industry is experiencing an enormous business opportunity with the rise of the autonomous, self-driving and connected car.
This growing trend stems from not only the industry’s drive to incorporate technology, but also from evolving consumer expectations. As more consumers rely on virtual assistants in their phones or at home, there are increasingly high expectations for a similar experience in cars.
In-car voice-activated navigation The automotive industry is experiencing an enormous business opportunity with the rise of the autonomous, self-driving and connected car. This growing trend stems from not only the industry’s drive to incorporate technology, but also from evolving consumer expectations. As more consumers rely on virtual assistants in their phones or at home, there are increasingly high expectations for a similar experience in cars. This is an exciting time for auto manufacturers to differentiate. With the right technology and training data, automakers can allow a consumer to not just drive a car but be part of an integrated experience, seamlessly moving from A to B.
While self-driving cars are extremely complex machines, their Artificial Intelligence (AI) is powered by machine learning. As the car moves forward, it processes a lot of visual data —just like a driver does when looking out the windshield. Vehicles need to assign meaning to large volumes of image data, such as identifying a tree or pedestrian, and then feed that back into the car’s AI to teach it.
Traditional dashboards—and more recently, mobile devices—take a driver’s hands and eyes off the road. Speech interfaces don’t. Connected cars need access to large-scale speech data collections to train the speech interface, providing consumers around the world with the best user experience.
Advances in voice recognition and cameras that can help track driver emotions are an important next step in Human Machine Interface, giving cars the ability to identify speakers’ emotions as well as their words—so they can tell when users get frustrated, and respond accordingly.
We’ve spent the last 15 years developing our expertise in the automotive industry, working with leading Tier 1 suppliers and 6 of the top 10 global OEMs, with support for 35+ languages.
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We develop data for the automotive industry to improve self-driving vehicles, enhance voice recognition, analyze sentiment, and more.
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