The future of industrial autonomy will not be defined by new hardware but by the software running on it. This presentation shows how proven off-highway hardware serves as a robust, cost-efficient platform for new use cases, such as semi-stationary quarry operations. The value lies in software. This software-centric approach enables AI-based safety functions, including reliable human detection, even in harsh environments. The challenge is ensuring safety in systems whose core intelligence resides in learning algorithms. Agile, data-driven MLOps processes built on a connected data platform are key. This enables scalable autonomy, continuous safety assurance and measurable productivity gains.

• This presentation shows how proven off-highway hardware serves as a robust, cost-efficient platform for new use cases
• This software-centric approach enables AI-based safety functions, including reliable human detection, even in harsh environments
• Agile, data-driven MLOps processes built on a connected data platform are key