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Scaling AI in Automotive
Building smarter cars and better driving experiences
With the new realities of a pandemic sinking into the consumer mindset, technologies and processes that enable contactless commerce, facilitate last mile delivery and improve the efficiency of services seem ripe for broader adoption.
Artificial intelligence is still on the horizon for many industries and only slightly visible to end users, often in the form of voice enable assistants like Google Home, Amazon Alexa or Apple’s Siri. Less obvious are machine learning examples such as recommendations from Netflix or best route selection from Waze.
Now where can the existing adoption and pent up demand for AI tools be seen more clearly than in the automotive sector. From consumer facing tools like voice interfaces to improve efficiencies in manufacturing and supply chain, the automotive space has the potential to deliver some of the most revolutionary AI experiences as we approach advanced levels of autonomous capabilities.
In many ways, automotive has already deployed AI at scale for consumers in the form of voice interactions. In another recent Capgemini study, “Voice on the Go,” it is predicted that three years from now, nearly 95% of consumers are expected to use conversational assistants, including voice assistants, to access information in their cars. With around 270…
