Expert Reaction On Forecast That Machine Learning Will Seriously Change The Automotive Industry And Its Security

The Experiences Per Mile Advisory Council, which unifies experts from the car, automotive and tech industry, has recently published a forecast on vehicle connectivity and the surrounding customer experience. According to the report, today 48% of all new cars globally include built-in connectivity, but by 2030 that figure will rise to 96%. Similarly, by 2030, 79% of vehicles shipped around the world will have an L2 autonomy or higher.

The report also says that customer expectations are shifting from just “smart technologies” to a connected experience, including vehicle maintenance. As such, 57% of European and 80% of North American respondents are interested in early detection of necessary maintenance and repairs; 80% of respondents were willing to share anonymous or personal connected car data to gain access to such capabilities. Big data allows automakers to predict the maintenance and repair needs of their vehicles, in turn enabling dealerships to be optimized and downtime to be minimized.

Alexander Moiseev, Chief Business Officer ,  Kaspersky
June 01, 2020
This may result in a new security issue of private data exfiltration from a vehicle and associated elements of the ecosystem.
Predictive analysis based on big data allows manufacturers manage many car functions and related operations. For example, machine learning in the automotive industry enables predictive maintenance that influences the whole management process of stock and logistics of spare parts. Machine learning can also change the driving experience, for example, by adjusting engine electronics based on driving ....
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