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Audi27 JanArtificial IntelligenceHigh confidence

Audi Scales Up AI in Production with Cloud Platform and New Use Cases

Industrial PCs eliminated

over 1,000

Robots working via EC4P

around 100

Wiring loom automation industry average

less than 10%

What Happened

Audi is putting its Edge Cloud 4 Production (EC4P) into operation across its production environment, combining automation technology with cloud computing. This simplifies processes, reduces hardware, and enables faster introduction of new functions. In vehicle assembly at German plants, worker guidance is now centrally controlled from the cloud, providing real-time information to employees.

Artificial intelligence is a quantum leap for efficiency in our production. With our AI and digitalization roadmap, we are transforming our plants into smart factories where AI acts as a partner, providing our employees with tailored support.
Gerd Walker, Board Member for Production and Logistics at Audi
Key AI applications being scaled
  • Weld Splatter Detection (WSD) to detect and grind weld splatter
  • ProcessGuardAIn for real-time monitoring and anomaly detection
  • AI-supported dryer operation in the paint shop for energy efficiency
Industrial PCs eliminated

Over 1,000

Cloud-based control replaces local computers.

Audi is also working with partners like IPAI Heilbronn and, in the Next2OEM project, aims to digitize and automate wiring loom production and assembly, which is currently less than 10% automated industry-wide.

Why this matters

By moving to cloud-based production control and AI, Audi aims to increase efficiency, reduce costs, and improve quality, setting a benchmark for the automotive industry's digital transformation.

Terms in This Story

Edge Cloud 4 Production
A cloud platform for controlling production systems in factories.
Virtual PLC
Software-based programmable logic controllers replacing hardware controllers.
Weld Splatter Detection
AI system that detects and removes weld splatter on car bodies.
ProcessGuardAIn
Audi's AI solution for monitoring manufacturing processes and detecting anomalies.
Read Original: Audi