AI Case Study
BMW will self-diagnose faults and issues limiting car performance and collect data from connected vehicles with machine learning analytics
BMW is planning to use IBM's cloud infrastructure to deploy its new platform for collecting data from connected cars. IBM announced it's become a "pilot partner" with the German automaker.
Consumer Goods And Services
Automobiles And Parts
According to Data Center Knowledge, "BMW is planning to use IBM's cloud infrastructure to deploy its new platform for collecting data from connected cars. IBM announced it's become a "pilot partner" with the German automaker. Specifically, it's partnering on the automaker's CarData project which is being billed as the first OEM open data platform.
CarData promises to be a new way of accessing the reams of data -- mileage, average fuel consumption, event data, service information and the like -- that is collected by an automobile's onboard computers. Under the plan, the data is encrypted and transmitted to BMW's secure servers, utilizing a SIM card permanently installed in the vehicle for enhanced security. With the user's consent, the data can then be made available to third party service providers, such as insurance companies and repair shops."
Moreover, according to Forbes, "areas where IBM have said that Watson will be put to work, are self-diagnosis of faults and issues which are limiting car performance, management of communications with other autonomous cars, and detecting and adapting to drivers’ preferences."
R And D
Planned; results not yet available
The planned involvement of AI in this project is not clear although the solution to be implemented is associated with machine learning analytics
"'IBM Cloud Private for Data is bringing the public cloud to your data, regardless of where that is', Rob Thomas, GM of IBM Analytics, told Data Center Knowledge. 'We're delivering a platform that can see all of your data, whether it's in Oracle, Teradata, an IBM repository, or on any public cloud. We give you visibility, the ability to train machine learning models across all of your data'."
Data collected by an automobile's onboard computer, such as mileage, average fuel consumption, event data, service information