How BMW Group has embraced AI for optimistic use circumstances and to enhance sustainability | AWS re:Invent

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Synthetic intelligence (AI) helps many alternative industries and is having a very robust impression within the automotive business. Among the many most enjoyable use circumstances is for totally autonomous automobiles, however that’s not the one space the place AI is having an impression. For instance, Microsoft and Mercedes-Benz are working collectively to enhance car manufacturing effectivity. 

On the AWS re:Invent cloud convention this week, BMW Group outlined the impression that AI has had on its group and detailed rising use circumstances the place AI will yield future optimistic enterprise outcomes.

In a session, Marco Görgmaier, GM, information transformation and synthetic intelligence, BMW Group, stated that his staff had constructed up a library of 1000’s of knowledge property throughout the corporate that may be reused for evaluation and AI. Since 2019, he stated his staff has been capable of ship greater than 800 use circumstances which have yielded over $1 billion in U.S. greenback worth. The use circumstances span analysis and improvement, logistics, gross sales, high quality and provider community.

“The imaginative and prescient and the mission of our staff is to drive and scale enterprise worth creation by way of the utilization of AI throughout our worth chain,” Görgmaier stated.

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BMW driving towards a sustainable future with some assist from AI

An rising space the place BMW is now investing sources is in serving to to enhance sustainability. 

Görgmaier commented that 60% of the world’s inhabitants lives in cities and concrete areas and that’s additionally the place 70% of greenhouse fuel emissions are generated. What BMW is now making an attempt to do is help metropolis planners in fixing issues to assist scale back emissions.

BMW is already serving to with machine studying fashions which are capable of predict how visitors rules can probably assist to scale back each visitors and gasoline emissions. ML fashions are additionally used to assist establish the place there isn’t but ample electrical car charging infrastructure. Görgmaier stated {that a} lack of charging infrastructure prevents individuals from switching to an electrical car, which in flip has an impression on sustainability.

There’s additionally a BMW ML effort to assist predict the impression of parking house availability and pricing on driving patterns. These patterns embody commuting routes and visitors, which additionally will have an effect on emissions.

Driving geospatial data with Amazon SageMaker

Görgmaier stated that lots of the city sustainability points that BMW is making an attempt to assist clear up can profit from geospatial data. That’s the place BMW is beginning to make use of recent geospatial capabilities within the Amazon SageMaker ML device suite that had been simply publicly revealed this week.

One space the place BMW is seeking to profit from geospatial ML is for serving to to foretell when a corporation with a fleet of automobiles will be capable of transition to electrical automobiles.

“We arrange the purpose to coach machine studying fashions to study correlations between engine sort and driving profiles,” he stated. “The rationale behind that was if such a correlation would exist, then the mannequin may study to foretell the affinity of sure drivers for an electrical car based mostly on their profiles.”

As BMW was working with totally anonymized information at a fleet degree, it had to make use of GPS traces and geospatial information to make the correlations.

“On the finish of the coaching, the mannequin was able to predicting how possible it was for particular fleets to transform to EV with an accuracy of greater than 80%,” Görgmaier stated.

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