In this episode of Back to the Future of AI, Alex talks to Dr Nina Stumme, Head of Data Management, Analytics and AI at DB InfraGO, and Dr Christina Sievers, Partner and Tribe Lead at [at]. Together, they shed light on the role of data and AI in the transformation of organisations, with a particular focus on infrastructure and transport.
Nina describes how she built up a data and AI team from three to over 300 employees in just four years. With the founding of DB InfraGO, a merger of DB Netz AG and DB Station & Service, a business unit was created that is responsible for the entire rail infrastructure and railway stations. Christina reflects on her experience in implementing AI projects and emphasises DB InfraGO's integrative approach, which combines business requirements with technological solutions and promotes cross-team collaboration.
The discussion addresses key challenges of AI scaling, such as prioritising projects, data governance and ensuring measurable results. DB InfraGO's flagship projects include vegetation management with Vision AI, a Google Maps-like rail visualisation and the automation of construction contract inspections with GenAI.
The key message: a holistic approach that integrates technology, processes and culture is crucial to creating sustainable added value. Technical expertise in leadership positions and strategic collaboration are essential to effectively drive data- and AI-driven innovation. Companies that systematically pursue these approaches not only secure competitive advantages, but also make an important contribution to social goals such as the climate transition.
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