The tool offers enhanced voice interaction with infotainment systems, location search and vehicle command, and comes at the end of a year in which voice AI has been integrated into more and more applications.
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“Drivers can naturally talk to their vehicles and ask the AI-powered assistant to navigate to a certain location, find specific stops along their route, and vocally control on-board systems to, for example, increase the temperature, open windows or change the radio station”, revealed the TomTom in your anúncio. “All with a single interaction.”
According to the announcement, the solution integrates the Microsoft Azure OpenAI Service to leverage large language models (LLMs) and other Azure applications. TomTom says its assistant can be integrated with other automotive infotainment systems and is also integrated with Digital Cockpit, the company's in-vehicle infotainment platform.
We're proud to share that we've joined forces with @Microsoft to bring Generative AI into vehicles.
— TomTom (@TomTom) December 19, 2023
Discover how this collaboration will unlock a new potential for driver's experience here: https://t.co/xAOwyiZqh5 pic.twitter.com/2yi7Eckidt
Voice features
The launch of the new assistant comes at a time when nearly 40% of U.S. consumers are using voice technology to get directions on the road, according to “Preparing for a Voice Commerce Future,” a PYMNTS Intelligence report.
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Furthermore, this study found that 15% of consumers used their cars' voice capabilities in the 12 months prior to the survey, a share that "is expected to grow as companies provide solutions to meet the growing demand for easy-to-use voice interactions in vehicles," PYMNTS wrote last month.
In addition to cars, this year voice AI has also become the main user interface of the world's first purpose-built AI device added to ordering systems in quick-service and fast-casual restaurants, continually improved by tech giants like Google, Meta, OpenAI e anthropic.
“But despite its vast promeAs a generalist solution, voice AI, to date, It's still crazy waiting to be broken,” PYMNTS wrote this week.
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That's because, that report noted, the human mind doesn't work in the same way that most advanced AI operates, and because artificial general intelligence (AGI) isn't yet a reality, modern AI systems perform best “when they're trained and built on localized, domain-specific datasets for specific tasks.
This includes things like ordering at restaurants from a predefined menu or environmental notes in a clinical healthcare setting.
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