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

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

On the AWS re:Invent cloud convention this week, BMW Group outlined the influence 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, mentioned that his staff had constructed up a library of 1000’s of information property throughout the corporate that may be reused for evaluation and AI. Since 2019, he mentioned his staff has been in a position to ship greater than 800 use circumstances which have yielded over $1 billion in U.S. greenback worth. The use circumstances span analysis and growth, 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 the utilization of AI throughout our worth chain,” Görgmaier mentioned.

BMW driving towards a sustainable future with some assist from AI

An rising space the place BMW is now investing assets 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 attempting to do is help metropolis planners in fixing issues to assist cut back emissions.

BMW is already serving to with machine studying fashions which can be in a position to predict how visitors rules can doubtlessly assist to scale back each visitors and gasoline emissions. ML fashions are additionally used to assist determine the place there isn’t but adequate electrical car charging infrastructure. Görgmaier mentioned {that a} lack of charging infrastructure prevents folks from switching to an electrical car, which in flip has an influence on sustainability.

There’s additionally a BMW ML effort to assist predict the influence 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 mentioned that lots of the city sustainability points that BMW is attempting to assist remedy can profit from geospatial data. That’s the place BMW is beginning to make use of latest geospatial capabilities within the Amazon SageMaker ML device suite that have 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 company with a fleet of automobiles will be capable to transition to electrical automobiles.

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

As BMW was working with absolutely anonymized information at a fleet stage, 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 doubtless it was for particular fleets to transform to EV with an accuracy of greater than 80%,” Görgmaier mentioned.