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Computer platform enables insurance companies to view vehicle data

Computer platform enables insurance companies to view vehicle data

Business news |
By Christoph Hammerschmidt



The data exchange platform combines NXP’s S32G2 vehicle network processors, which enable advanced in-vehicle edge computing and provide access to vehicle-wide data, with Moter’s data analytics software. The platform can be used to monetise vehicle data for new and improved motor insurance services.

The insurance industry has a vested interest in accessing telematics data from vehicles. Access to a broader automotive data pool with more detailed and accurate insights will allow the development of next-generation analytics tools for actuarial analysis, new mobility product development and claims management.

It is true that connected vehicles generate terabytes of data every hour, some of which can be used to develop sophisticated insurance models. However, their use by car manufacturers and insurance companies is severely hampered on the technical side – in addition to the applicable data protection and privacy laws – by a lack of available data processing platforms with appropriate performance, security and centralised access to vehicle-wide data.

This is why NXP and Moter are now providing a joint platform that is specifically designed to meet the needs of the insurance industry. It can also be used for fleet management purposes, explains Michael Fischer, Chief Digital Officer at Moter. The platform runs sophisticated risk algorithms that can be updated over-the-air and combined with an insurer’s or a mobility company’s customised insurance algorithms. This allows insurance companies to gain marketable insights about driver’s behaviour and potential risk factors asscoiated with this. The Moter platform can be licensed for use in OEM vehicles to facilitate data sharing with insurers and mobility companies willing to subscribe and pay for insights into vehicle users’ driving behaviour. In this way, new data-driven functions and features can be developed, including – but by no means limited to – insurance companies.

NXP’s GoldBox reference design, based on the chipmaker’s recently unveiled S32G2 in-vehicle network processors, enables new in-vehicle data-driven applications. In addition to insurance-related applications, these include vehicle-specific maintenance and fleet management services. The platform was developed with the latest cybersecurity techniques in mind, assures Brian Carlson, Global Marketing Director for Vehicle Control and Networking Solutions at NXP. This ensures secure processing on the in-vehicle processor, support for over-the-air (OTA) services and connectivity to in-vehicle networks and the cloud. To avoid having to transfer the very large amounts of data from the car to the cloud, the relevant software is at least partially processed directly on the vehicle platform. “We bring the software to the data, not the data to the software,” Fischer describes the approach. This also includes the use of machine learning algorithms to evaluate vehicle and driver data.

By making vehicle data accessible, the NXP / Moter duo is opening up a potentially huge but already fiercely competitive market. “Vehicle data opens up new business areas in the automotive industry, similar to the proliferation of apps and Big Data that the smartphone has enabled over the last decade,” Carlson explains. The question of who owns the data in the vehicle has been the subject of much controversy for some time – or more precisely, since the availability of vehicles with their own internet connectivity. Besides insurance companies, numerous third parties are interested in the data and would like to develop and offer digital business models based on this data. On the other side are political groups that insist on the confidentiality of personal data in the vehicle. Against the backdrop of of these contrasting interests, at least the European car industry has hitherto shown restraint when it came to access rights to this data.

https://moter.ai/nxp-moter

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