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IBM announced this week that BMW would be using its predictive analytics software to help identify and repair problems in its test models within a few days instead of the weeks or months it has taken in the past. This week’s news roundup is about BMW predictive analytics and what this announcement means for IBM and the world’s auto manufacturers.
- BMW Deploys IBM Big Data Analytics to Improve Car Performance at Computerworld: “BMW is deploying IBM big data analytics technology with the aim of improving its products, repairs and maintenance. The use of predictive analytics will help to detect and fix vulnerabilities before new car models are launched — long before they might cause problems in series production, said BMW.”
- BMW Using IBM Predictive Analytics in Auto Production, Repairs at eWeek: “Moreover, using IBM big data and analytics technology, all available data sources can be analyzed to discover patterns and anomalies to predict and anticipate maintenance needs. And due to the targeted evaluation of product, maintenance and repair data, repair instructions can be issued on a timely basis, reducing the number of workshop visits and speeding up repair times.”
- IBM Analytics Improve BMW Auto Quality at InformationWeek: “The key to fixing problems before they get beyond the test track is capturing plenty of data from sensors on prototype vehicles. Just as Formula 1 race cars are now fitted with sensors for every imaginable component, BMW’s prototypes spew out as many as 15,000 data points from the engine and transmission down to the suspension and brakes. The data reveals errors and error patterns that occur only in certain driving conditions.”
- BMW Employs IBM Predictive Analytics to Hasten Car Production at ITProPortal: “IBM’s SPSS predictive analytics software combines and analyses data from numerous test drives of prototypes, an average of 15,000 faults recorded by vehicles, as well as details from recent workshop reports. The results of these reports can then easily be channelled back into operational processes in order to cut down on errors and reduce costs, a process that previously took months to complete.”
- IBM Analytics Improve BMW Auto Quality at Insurance & Technology: “The key to fixing problems before they get beyond the test track is capturing plenty of data from sensors on prototype vehicles. Just as Formula 1 race cars are now fitted with sensors for every imaginable component, BMW’s prototypes spew out as many as 15,000 data points from the engine and transmission down to the suspension and brakes. The data reveals errors and error patterns that occur only in certain driving conditions.”
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