In an effort to gain business, Alphabet’s Google is giving Volkswagen drivers essential artificial intelligence assistant features through a smartphone app. This is a part of Google’s plan to give tools for creating enterprise artificial intelligence apps.
Customers may use their phones to take pictures of car dashboards and ask inquiries like “How do I change a flat tire?” to Volkswagen’s in-app helper.
The artificial intelligence assistant makes use of cloud computing power, Google’s Gemini big language models, and programs that comprehend and produce predictions in response to human language.
The Volkswagen tool was created by populating Gemini with information from YouTube videos on car maintenance and owner’s manuals for Volkswagen vehicles. According to Google Cloud CEO Thomas Kurian, the product’s multimodality—its capacity to handle many data kinds like text, photos, and videos—required overcoming technological challenges.
“The problem looks superficially simple, but it’s technically very complex,” Kurian said. “Most people think what we built is a speech-to-text translation system that then looks up a manual. Absolutely not.”
Approximately 120,000 owners of Volkswagen’s Atlas and Atlas Cross Sport cars can utilize the artificial intelligence assistance for free. It will be available for more cars with model years 2020 and beyond by early 2019.
Business use of generative artificial intelligence has the power to change the profitable cloud computing space, where Google is ranked third in terms of market share, after Microsoft and Amazon. The majority of businesses are still looking for useful applications for their customers. In 2023, cloud computing will provide $33 billion of Google’s $307 billion in total income, making it a rising business division for the company.
The corporation claims that Al Solutions has generated billions in revenue so far this year, but it will not provide more exact numbers. Volkswagen has thus far failed to provide information regarding the use of its artificial intelligence assistance.
Also read: Automation in Oil and Gas: Horizons and Expectations for the Next 5 Years
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