Dietmar Bruckner
Product Owner and Unit Lead,
B&R Industrial Automation, Austria
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Biography: Dietmar is development manager and product owner of new software solutions in B&R Industrial Automation's RnD department Software. He started his industrial career in 2013 on research and development of industrial real-time networking, followed by real-time operating systems towards more general software topics like virtualization, cloud computing, and cyber security. Before B&R, he worked at the Institute of Computer Technology of the Vienna University of Technology, managing research teams in the areas of field busses, building automation, and artificial general intelligence. He studied Electrical Engineering, where he obtained an MSc in 2004 and a PhD in 2007. Bruckner’s scientific track record includes 100+ scientific publications. He was involved in organizing conferences, editing journals, and drafting standards for the IEEE and the OPC Foundation.
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Title
Software environment for continuous innovation in industrial automation
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Abstract: In the industrial automation sector, software systems often remain in use for over 20 years, leading to long innovation cycles and slow adoption of new technologies. With the introduction of the European Cyber Resilience Act, cybersecurity has become a critical concern, adding to the complexity of modernizing these systems. This talk will explore how emerging technologies—such as continuous integration/continuous delivery (CI/CD), cloud computing, artificial intelligence (AI), and enhanced cybersecurity measures—can be integrated into the development of machine control software. We will discuss the need for advanced tooling to accelerate innovation, ensuring systems remain secure and compliant with evolving regulations while maintaining compatibility with legacy infrastructure. Additionally, we will highlight strategies for building resilient software environments that not only support continuous innovation but also align with the upcoming cybersecurity mandates, helping industries stay ahead of both technological and regulatory challenges. This approach is essential for fostering long-term reliability, flexibility, and security in industrial automation systems.
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