Collaborative Data Ecosystems in the Automotive Industry
Build the most advanced data-driven value chain
for the automotive industry
Multi-Partner Data Collaboration on AI in the automotive industry can accelerate both
research activities, and traditional engineering
Securely share data from autonomous or electric vehicles
Jointly train highly generalizable AI models across multiple departments and companies
Environmental impact and sustainability
Leverage real-world data that was previously impossible
Production and Supply Chain
Establish secure end-to-end
data chains with Tier-n suppliers for value creation processes
"Before Apheris, the time to market would’ve been weeks, if not months, to meet the compliance and analysis requirements to collaborate with our customers and partners of the supply chain. Now, it takes hours."
Lead Expert Machine Learning and AI, Automotive OEM
Learn how multiple parties along the automotive value chain can securely collaborate using their most sensitive data while protecting data and algorithmic IP at all times.
What this E-Book covers:
The data collaboration journey...
...of a chemical R&D company that needs access to chemical compound data from an electric vehicle R&D department.
...of a coating supplier that needs to increase the output quality to consistently meet the OEM targets.
...of an automotive supplier for high-performance plastics parts who developed an AI model to predict material behavior.