GM is leveraging artificial intelligence (AI) technology in a variety of different areas, with the intention of accelerating innovation, improving its EV deployment, and streamlining business operations. Now, General Motors is detailing some of the ways in which it is using AI in a new AI-focused website.
“GM is realizing the positive impact of AI at scale across our enterprise – from manufacturing, engineering, supply chain, to the customer experience – and how we can build on core technologies and apply industry innovation to lead the future of transportation,” said GM Executive Vice President, Software and Services, Mike Abbott.
General Motors’ new AI-focused website lists several uses for AI technology, including AI-driven analysis for the identification of optimal EV charging station locations (in partnership with Pilot Flying J) via predictive analytics and geospatial algorithms.
Further EV-centric uses for AI technology include intelligent route planning that factors in vehicular telematics, topological data, and driver behavior vectors, as well as the accelerated development of affordable battery technologies with Mitra Chem, a Silicon Valley-based AI-enabled battery materials innovator. GM previously led a $60 million investment to accelerate battery design innovations via new cathode designs.
Google Cloud technology is another example of General Motors’ use of AI, which can improve the customer experience via OnStar Virtual Assistant. This technology leverages intent-recognition algorithms to provide customers with help they need, thus enabling human advisors to address emergencies and other, more complex customer needs.
Of course, AI technologies are also a major component to GM’s autonomous driving technologies, including both full autonomy, as pioneered by Cruise, and semi-autonomous driver aids, such as the GM Super Cruise system. Interestingly, AI is also a component in General Motors’ motorsport efforts, with machine learning informed by performance data, historical competitor behaviors, and current track conditions to create models useful to race teams and engineers.
Finally, General Motors is using AI predictive analytics to streamline vehicle production, with historical performance and real-time data analytics used to identify potentially anomalous patterns and malfunctions, thus preventing production stoppages or other, related issues.
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Comments
The top photo is annoying. Move over it’s the left lane!
Agree, give a citation.
Do they really need AI to tell them where to put charging stations? People have been siting fueling stations for decades with a map and common sense. This seems like a new tool looking for an invented problem. Like going to the hospital for a hangnail.
When computers replace common sense, we are screwed.
End of rational hiring of humans as we know it.