Blueprint For Next-Gen Manufacturing
Automotive stands out in smart manufacturing for its unified structure and adaptability. Leaders adopt digital tools fostering product reuse and customization. By 2030, agentic AI and digital twins are set to reshape operations, with AI handling routine white-collar roles and humans focusing on crit
Q1. Could you start by giving us a brief overview of your professional background, particularly focusing on your expertise in the industry?
I have a German master's degree in mechanics, an engineering degree, and an MBA from Henley Management College in Henley-on-Thames.
I worked as a PD Engineer at Ford in Germany and the USA for 10 years. I moved into IT projects and managed SAP implementations for Visteon after the spin-off from Ford.
17 years ago, I moved from the automotive industry into the software industry when I joined Siemens Industry Software, where I have been leading digital transformation projects in complex industrial environments, primarily focused on PLM, ERP, and MES systems, as well as leading a consulting organization of roughly 100 people.
My last position title at Siemens was PMO Director DACH. Recently, I have started to lecture at a college on mostly MBA topics and product Lifecycle Management. I’ve also been exploring the deployment of AI agents to support cross-functional workflows in manufacturing and product development.
Q2. Which manufacturing segments or regions are demonstrating the fastest adoption and biggest gains from smart manufacturing, and what differentiates the top performers?
I believe the automotive industry always had and…
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