Starting with the sharing of safety-related traffic information, the ecosystem will have to evolve and move to more advanced cooperation and business models around comprehensive traffic data. Vodafone and Nokia share their experience gained on a project in the West Midlands of the UK, in which Vodafone’s edge computing environment plays an important role.

When technology and investments are global in scale in the transition to autonomous, connected, electric and shared mobility of the future, consumers will need to trust the technology, the companies that develop it and those that provide related services. New business models that, for example, rely on subscription models and digital intermediation of rides create new risks and therefore new regulatory challenges that must be addressed. The value of data generated by digital cars requires data protection regulations (e.g. GDPR) and, in particular, mobility data regulations and cybersecurity regulations. Subscription and platform models for digital services will necessitate e-commerce and consumer protection regulations. The need for regulatory standards and changing government regulations is a real challenge and critical to the success of this transformation. This presentation will discuss regulatory topics of business models related to the value of data generated by digital cars.

As connectivity becomes ubiquitous in vehicles, we are seeing the introduction of e-commerce services that were once only available in mobile or web applications. While the commercial justification and user desire may be clear in many cases, the challenge for automotive companies is to ensure that the end-user experience matches or exceeds expectations. UI/UX designs need to be sympathetic to the requirements of the in-car environment and cannot simply be ported from mobile applications. This presentation will discuss some of the unique UX requirements for in-car use and present examples of Huemen’s designs. It will also look at how the design-development process is changing thanks to new tools and methods.

OEMs are constantly trying to address the fleet market but notice that the requirements of fleet customers differ greatly from those of private customers. In addition to heavy investments in electrification, autonomous driving and digitalization, OEMs need to focus their activities. However, fleet telematics is not part of the core business for many of them. With the advent of the connected car, OEMs have the technical capabilities to make the vehicle data available for fleet managers without the need for retrofit hardware. This presentation will address how OEMs and TSPs can collaborate to help fleet customers grow their digital revenues and reduce costs. It will present opportunities and ideas for OEMs on how to monetize the data and create revenue streams in fleet telematics.

OEMs have a pole position to monetize direct customer access and customer data and benefit through cost savings and additional revenue. On the way to implementing data monetization in practice, many legal, technical and commercial issues and challenges arise. This session focuses mainly on the commercial challenges with regard to data sharing at the EU level. Within the session we will use a joint business case from Audi, Nira Dynamics and HERE technologies to exemplify how challenges can be addressed efficiently. We will look into a business case in which sensor fusion software from NIRA Dynamics in Volkswagen group vehicles in combination with the HERE Location Platform are already today producing real-time road surface data from over a million passenger vehicles, for optimized road maintenance operations and improved safety for all.

Increasing levels of automation require increased automotive embedded software complexity, putting new demands on the existing tools and frameworks. Instead of solving these challenges alone, the path forward is to partner in non-differentiating areas and collaborate. Bosch has adopted open source as a collaborative approach where all domains can meet and work together on common interests by partitioning software and data into differentiating (typically proprietary) and non-differentiating parts. Non-differentiating parts like software or data sets can be public for everyone, helping to save costs, creating de-facto standards by broad usage and making functionalities transparent, which can help the authorities while homologating vehicles. But there is also the possibility to make money – besides the cost-saving aspect – with public data and software. This presentation will outline the importance of open collaboration and the related monetization potential that will help transform the automotive industry.

As in-car payment technologies evolve, deep integration with the car’s HMI and sensors is critical to increasing driver adoption. As a leader in conversational AI for mobility, Cerence has in-depth knowledge of how to integrate with the myriad car sensors and data to best support drivers. This presentation will explore the keys to success in building an integrated in-car payment experience.

The growing number of street-facing cameras on vehicles enables the acquisition of vast volumes of images. These images can unlock new business cases such as automated litter detection, tracking road asset inventory and detecting road damage. Data protection laws (GDPR, CCPA, PIPL) are one hurdle to overcome before being able to process images that contain personal data such as faces and license plates. We’ll share what we have learned about technical and legal challenges when implementing automated image and video anonymization, to protect people’s privacy while creating new business value for your company.

Floating car data is typically timestamped geo-localization and speed data directly collected by moving vehicles. However, the quality of this location data is usually a few meters off from the ground truth. Extracting the raw GNSS data (GPS, GLONASS, Galileo and BeiDou) from the GNSS receiver generates the opportunity to post-process this data, to correct it to decimeter level accuracy and to use it for many valuable purposes such as lane-level traffic information, HD maps, accident reconstruction and more, substantially increasing monetization opportunities. Geoflex has built this post-processing capability worldwide using a technology (seven patents) initially developed by French space agency CNES.

Join this presentation to gain insights into current megatrends in the European insurance sector, the latest market research results, the present status of multi-brand car data, which insurance use cases are covered, and how you can start your journey in the new connected car data economy.

With the emergence of 5G connectivity, highly automated driving functions, software driven vehicle architecture and electrification, a new era of business models within the automotive industry is arising. To strengthen the market position, smart services based on customers behavior or location can be provided. These location based online services are the base for crowdsourced car data to enhance efficiency, safety, entertainment and further development of automated driving functions (L3 and beyond). This presentation will show opportunities for smart service suppliers (and OEMs) based on two concrete traffic scenario UseCases, how to ensure monetization of the data and how to deploy basic cloud services.

The increasing digitalization of the automotive industry is generating more and more data from vehicles. This makes it possible to not only optimize costs along the value chain on the basis of data but also commercially exploit vehicle data across locations or manufacturers in the form of an independent data product. To exploit this enormous potential, however, companies need legal certainty with regard to the use of data from a data protection and privacy perspective on the one hand, and usage and remuneration models for the collaborative exchange of data on the other.

Fleet owners suffer from an overabundance of fleet information from multiple data sources, yet lack the ability to put that information to work for them automatically. Today’s vehicle alerts might be automated but the actions that typically follow are manual. Connected car technologies such as vehicle diagnostics retrieval, digital keys and immobilizers – traditionally viewed in the context of shared mobility – are now enabling existing fleets with new ways to increase uptime using digital access control and fleet automation. In this session, you will learn how technology can be used to digitalize fleets and fleet operations; how fleet data can be used to create actionable insights and automated workflows; how to leverage multiple telematics platforms to completely handle switching vehicles or drivers through digital means; how these processes can optimize costs and increase margins.

The biggest opportunities are outside of the vehicle. Until now, discussions surrounding how to monetize data generated by vehicles have focused on the closed and narrow ecosystems consisting of the manufacturers, owners and dealerships. Going forward, several new applications are being built by third parties using the anonymized and aggregated data from thousands or millions of vehicles. In this session, we will talk about how data from cars is becoming vital to large logistics companies, training of autonomous delivery vans and drones, city-scale digital twins and more, and how vehicle makers and owners can derive revenue from it.