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Cerence Teaches Automotive AI Assistant US English

May 13, 2020

“Now, Cerence ARK Assistant is available to support interactions in US English.”

Cerence Teaches Automotive AI Assistant US English

Automotive AI assistant specialist Cerence has adapted its ARK solution for the US market.

First announced in December and aimed at the China market, Cerence’s ARK (‘AI Reference Kit’) was touted as a turnkey solution for car makers looking to quickly integrate Cerence’s voice-based AI assistant technology into new vehicles. The company went on to announce in March that China’s Geely Auto Group had embraced the solution, with Great Wall Motors following along in April.

Now, Cerence ARK Assistant is available to support interactions in US English. In announcing the solution, Cerence emphasized its flexibility and ease of integration, framing it as a turnkey solution that is built for Android but can also be adapted to operating systems from Linux, LG, Microsoft, and more. It also offers a high degree of customization as per OEM’s preferences.

“As in-car voice assistant usage grows exponentially and consumers demand access, we are proud of this milestone development of Cerence ARK Assistant to help automakers deliver robust solutions to stay ahead of their competition,” said Cerence Core Products VP Stefan Ortmanns. “With these new packaged innovations, we offer OEMs decades of experience building state-of-the-art voice solutions, plus the agility to get to market in just three to six months.”

The announcement comes on the heels of a quarterly update from Cerence in which the company posted improved revenue and adjusted EBITDA results. The company nevertheless withdrew its fiscal guidance for the rest of the year due to uncertainties caused by the COVID-19 pandemic, but its launch of the US version of Cerence ARK underscores its strong momentum driving into the new quarter.

Filed Under: Industry News Tagged With: AI, Artificial Intelligence, automotive, automotive technology, Cerence, Cerence ARK, Cerence ARK Assistant, speech recognition, voice interaction, voice interfaces

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