the company is establishing robust frameworks for data governance.

Building the foundations for automation Successful implementation of AI and automation needs more than just the latest tools. A robust data management strategy is key. Lutz identifies this as perhaps the most crucial element of Daimler Truck’ s technology transformation.

“ Data management is the biggest issue we have in terms of using AI,” says Lutz.“ If your data management is not good, you can run into very complex problems.”

It is not just data quality, but questions around ownership, access rights and appropriate usage. As AI tools become more integrated into business processes, these considerations become more important.

The potential for automation extends beyond individual tasks to entire application development processes. Lutz envisions a future where AI dramatically accelerates software creation while reducing costs.

“ With cutting-edge low-code or no-code solutions, you can replace a lot of tasks which you have today,” he says.“ There’ s a huge opportunity for us to save money on application development.”

Lutz sees the near future as a period of significant change for Daimler Truck, despite some challenging business conditions.