AI Based Complexity Management along the entire Vehicle Software Lifecycle

Vehicle manufacturers must leave well-trodden paths if they do not want to stumble into the Complexity Trap again in the age of Software Defined Vehicles.

The key to success lies in avoiding non-value-adding Software Complexity and securely mastering software artifacts with all relevant dependencies along the entire vehicle lifecycle. In order to bring new products to market on time and maintain the user experience throughout the vehicle lifecycle, complete control over the dependencies between OTA software, ECU, vehicle, market requirements with homologation and software suppliers is required. A capability that is not yet necessarily one of the core competencies of the automotive industry.

One approach that has already been tried and tested in the industry is the use of Ontologies and Neurosymbolic AI.

The Leipzig-based software company eccenca and its partners already manage the mobile networks of numerous international mobility giants.

The new AI-driven solution not only offers real-time software optimization for millions of base stations and billions of software-hardware combinations, but also enables energy savings of 25% by optimizing the entire network.
Looking beyond our own industry shows that there are technologies that enable us to avoid the complexity trap and instead ensure that our software-hardware market bundles are compliant, sustainable and secure.

This is an important lever for automotive manufacturers to Safeguard planned Market Launch Dates and ensure return on investment with high software quality and end-to-end management of relevant dependencies.

I look forward to taking the next step in Automotive Integration together with Chris Brockmann and the rest of the eccenca team.