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April 24, 2017
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Deep Learning with HDP Accelerates BMW

BMW Group (BMW) is a German luxury vehicle, motorcycle, and engine manufacturing company founded in 1916. It is one of the best-selling luxury automakers in the world and is leveraging deep learning with HDP to save on manufacturing and costs.

Three weeks ago, at the DataWorks Summit in Munich, we announced the Data Hero winners for the EMEA region. The winner in the Data Architect category was Tobias Bürger, Lead Big Data Platform & Architecture at BMW Group. You can read the announcement here.

BMW manages structured, sensor, and server log data. From that data, BMW produces batch, interactive SQL, streaming, and AI/Deep Learning analysis. Hortonworks Data Platform (HDP®) is one of the enabling technologies for BMW.

The team at BMW, under Chief Architect Tobias, has implemented over 100 HDP uses cases, including the generation of autonomous driving insights from sensor data, cost savings in research and development, streamlining the manufacturing process, and improving after-sales customer care. Once HDP was brought into BMW, it spread quickly and far beyond the original central users.

Additional BMW HDP use cases have brought architectural improvements around its technology stack, bringing in analytical capabilities never before possible.

To learn more about how Hortonworks is driving autonomous driving, and how Connected Data Platforms are used at four of the top five auto manufacturers, check out the video below and download the white paper!


Comments

  • This is exactly the reason why I became a HDP shareholder. The data generated by self-driving cars is so heavy, happy to see that this is really a thing.

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