Edge Processing bridges the gap between automotive data and insurance
Article by: Nitin Dahad
Automotive data has been difficult to monetize. Thus, NXP and Moter have a new platform allowing in-depth access to vehicle data and state-of-the-art processing to enable real-time insurance risk assessment.
As data on connected vehicles grows in abundance, automakers have so far not been able to effectively monetize this data. This is because there is not enough expertise on how to use this data in the existing infrastructure and how to deal with the data with a decent ROI.
The big challenge is accessing vehicle data, according to Michael Fischer, chief digital officer at Moter Technologies, a data science arm of one of Asia’s largest insurance groups. In a briefing with EE Times, Fischer and Brian Carlson, global marketing director for NXP Semiconductors, discussed how they are addressing this challenge in a new partnership that helps bridge the gap between automotive ecosystems and insurance.
The collaboration between the chip company and the insurance technology company (insurtech) is a new secure data exchange platform that connects data from connected vehicles to the insurance industry, to power science solutions data for risk assessment and cost modeling. The platform combines NXP’s S32G2 vehicle network processors, providing a new kind of vehicle on-board calculation with the ability to access vehicle-wide data, with Moter data analysis software for help fully monetize vehicle data for new and improved auto insurance services.
Carlson of NXP explained, âWith the new platform, it is possible to do things that you could not do before because you have deep access to vehicle data using NXP GoldBox. It is a production-grade benchmark design, offering a new type of Service Oriented Architecture (SoA) gateway providing data from all parts of the vehicle, and updating over the air (OTA) .
NXP’s GoldBox benchmark design, based on one of the recently launched S32G2 vehicle network processors, is a key enabler for new data-driven opportunities in vehicles, such as advanced insurance, employee health services. vehicles and fleet management. It provides safe and secure in-vehicle processing, OTA service support, and on-board network and cloud connectivity required for next-generation automotive applications.
S32G2 processors provide both real-time processing and high-performance applications combined with vehicle network interfaces, network acceleration and hardware security, as well as expansion support for vehicle acceleration. machine learning (ML), mass storage and wireless connectivity to provide a powerful service-oriented gateway.
The Moter platform offers advanced risk algorithms that can be updated over the air and combined with custom insurance algorithms from an insurer or mobility company to create marketable information about drivers. The Moter platform can be used under license with OEM vehicles to facilitate data exchange with insurers and mobility companies who are willing to underwrite and pay for driver information to enable new products based on vehicle data, including, but not limited to, usage-based insurance.
Improving telematics assurance through data
New auto insurance policies based on telematics data, which have reached penetration rates of up to 30% in some insurance companies, represent a market that is expected to grow by more than 27% per year as new markets develop. insurers are developing new insurance products based on data. Access to a larger automotive data set, with more detailed and accurate information, can enable the development of next-generation analysis tools for actuarial analysis, new mobility product development and management. complaints.
While connected vehicles can generate terabytes of data per hour, some of which can be leveraged for sophisticated underwriting and multiple business applications, automakers and insurance companies are hampered by the lack of data processing platforms. available and cost-effective data with sufficient performance, security and centralization. access to vehicle-wide data.
This is what Moter and NXP’s platform is intended to address. Fischer commented, âUsage-based insurance is one of the most successful data marketing opportunities and revenue potential for the automotive industry today. Together with NXP, Moter provides the data bridge that will enable the automotive industry to unlock the wealth of data for mobility insurance, fleet health and monitoring, and infrastructure planning and optimization.
In addition to enabling real-time risk assessment using live vehicle data, companies hope that by bringing software to data at the edge rather than pushing data to software, they can also enable d ‘other new products that monetize vehicle data. such as providing real-time vehicle health and safety reports.
A McKinsey report earlier this year pointed out that connectivity and data monetization has progressed slowly, as many OEMs have struggled with connectivity or associated software developments. However, he added that the monetization of car data is now at a critical point, especially if OEMs and ecosystem players are able to take advantage of new technologies that provide more powerful I / O architectures and solutions. OTA updates, and leverage significantly increased computing power and interconnectivity.
This article was originally published on EE time.
Nitin Dahad is a correspondent for EE Times, EE Times Europe and also editor of embedded.com. With 35 years in the electronics industry, he has held many different roles: from engineer to journalist, and from entrepreneur to startup mentor and government advisor. He was part of the start-up team that launched and publicized 32-bit microprocessor company ARC International in the United States in the late 1990s, and co-founder of The Chilli, which influenced a great deal part of the tech startup scene in the early 2000s. He has also worked with many big names including National Semiconductor, GEC Plessey Semiconductors, Dialog Semiconductor and Marconi Instruments.