What deadlines are coming up?
Three large white boards are covered with colorful post-its, featuring all current projects, personnel matters, and topics. Launched as a start-up four years ago, the Data: Lab has established itself as a center of competence for future IT topics, including advanced analytics, machine learning, and artificial intelligence. The field covered by the employees is vast. The computer scientists, physicists, mathematicians, and engineers from more than 15 nations are working together with universities, research centers, and international start-ups to make use of the core themes pertaining to artificial intelligence for the entire Group.
Self-driving systems, e-mobility, connected vehicle concepts and the momentum of the digital transformation — the automotive world is seeing evolutionary changes. The Volkswagen Group is repositioning itself with its brands and products in response to this. Its overarching vision is to become a world-leading provider of sustainable mobility.
For Chief Information Officer, Dr.
The Future Makers () - IMDb
Martin Hofmann, AI plays an important role in this journey: We want to develop and effectively use powerful AI systems ourselves. That is why we are expanding our expertise in this field. This is also reflected in the orientation and objectives of the Data: The aim is to efficiently process information from data sets by optimizing the use of artificial intelligence processes, or to support new business models, such as traffic routing for customers through a networked infrastructure in the cars.
Advanced AI systems are also among the prerequisites for intelligent human-robot cooperation, for example. Lab also includes the Startup Collaboration Space. The idea behind this is to make hardware or software solutions created by young companies usable for Volkswagen.
Such as those from the Australian start-up "BlackAI". In the field of computer vision and machine learning, it is developing a camera system that can predict the movement of people via sensors, thus complementing Professor van der Smagt's research by practically solving concrete problems. It enables a machine to see people, buildings, and moving things.
The transfer of knowledge within the Group is a huge priority.
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Representatives from different Group brands and markets are regular guests at the Data: Lab, where they collaborate on specific projects. We support colleagues on site regarding the development of solutions for the city of the future. In particular, we contribute our data expertise," says Barbara Sichler. The team structure is divided into two clusters, which take an exploratory approach to specific questions to combine future technology with the business of the Group and its brands. The "Smart Enterprise" area is devoted to the development and testing of AI-supported business processes, which, for example, offer employees comprehensive information even faster as the basis for decisions.
Furthermore, on the basis of AI, the "Customer" area develops solutions that promote the digitalization of customer relationships as well as mobility and smart city developments. Lab focuses on four core technological areas: Since September, the team of Professor van der Smagt has been working on basic research in the field of artificial intelligence for the Volkswagen Group. For example, seeing and interpreting things around us.
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We do this by means of deep learning. Deep machine learning is, to put it simply, an artificial system that identifies patterns and regularities based on image or sensory data.
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By entering examples, this algorithm becomes more and more efficient in identifying corresponding patterns successfully — the system thus collects knowledge from experience. The scientist cites autonomous driving as an example: We're still unable to replicate this functionality with machines to a sufficiently high level. But this is necessary for autonomous driving to work, for example", says Professor van der Smagt. Keep track of everything you watch; tell your friends. Full Cast and Crew.
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