Modern engineering faces strict safety requirements, rising system complexity and increasing pressure to deliver faster. Traditional methods can no longer keep pace. This whitepaper shows how AI provides a practical path forward: validating requirements, accelerating test generation, improving PCB design, enabling predictive maintenance and supporting high-integrity embedded applications. Through real-world case studies from automotive, aerospace, defence, agriculture and electronics development, it demonstrates how AI increases performance, reduces risks and shortens development cycles—without changing existing hardware or architectures.

Find out more about:

• Real-world case studies from automotive, aerospace, defence, agriculture and electronics
• Methods to improve product performance, robustness and safety with AI
• Approaches to accelerate development through automated testing and smarter specifications
• How embedded AI enables earlier error detection and predictive maintenance
• Strategies to move from AI concepts to measurable, production-ready results