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


Take a look at the on-demand periods from the Low-Code/No-Code Summit to discover ways to efficiently innovate and obtain effectivity by upskilling and scaling citizen builders. Watch now.

Synthetic intelligence (AI) helps many various industries and is having a very sturdy affect within the automotive business. Among the many most fun use instances is for absolutely autonomous autos, however that’s not the one space the place AI is having an affect. 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 affect that AI has had on its group and detailed rising use instances 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 information property throughout the corporate that may be reused for evaluation and AI. Since 2019, he stated his staff has been in a position to ship greater than 800 use instances which have yielded over $1 billion in U.S. greenback worth. The use instances 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.


Clever Safety Summit

Be taught the crucial position of AI & ML in cybersecurity and business particular case research on December 8. Register in your free cross at present.

Register Now

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 gasoline emissions are generated. What BMW is now attempting to do is help metropolis planners in fixing issues to assist scale back emissions.

BMW is already serving to with machine studying fashions which might be in a position to predict how site visitors rules can doubtlessly assist to scale back each site 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 folks from switching to an electrical car, which in flip has an affect on sustainability.

There may be additionally a BMW ML effort to assist predict the affect of parking house availability and pricing on driving patterns. These patterns embody commuting routes and site 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 attempting to assist resolve can profit from geospatial data. That’s the place BMW is beginning to make use of latest geospatial capabilities within the Amazon SageMaker ML software suite that have been simply publicly revealed this week.

One space the place BMW is trying to profit from geospatial ML is for serving to to foretell when a company with a fleet of autos will have the ability to transition to electrical autos.

“We arrange the purpose to coach machine studying fashions to be taught correlations between engine kind and driving profiles,” he stated. “The rationale behind that was if such a correlation would exist, then the mannequin might be taught to foretell the affinity of sure drivers for an electrical car primarily based 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 possible it was for particular fleets to transform to EV with an accuracy of greater than 80%,” Görgmaier stated.

VentureBeat’s mission is to be a digital city sq. for technical decision-makers to realize information about transformative enterprise know-how and transact. Uncover our Briefings.

Supply hyperlink