Chief Data Officer & Managing Director Mediaplus Germany

Karin is an experienced data strategist specializing in the development and implementation of innovative data solutions that help companies make data-driven decisions and secure competitive advantages. With comprehensive know-how in AI-supported analyses, she develops future-oriented approaches for personalized marketing and sustainable media planning.

As Chief Data Officer, she significantly shaped the digital transformation at RTL Deutschland by successfully integrating data-driven processes and technologies into strategic business goals. She also served as Managing Director at Bertelsmann and oversaw the development of the group's central data platform, which served as the foundation for data-driven innovations and efficiency gains. Prior to this, she was responsible at GroupM for the conception and implementation of a comprehensive data ecosystem that placed data-based strategies at the center. Her professional career began at Mediaplus, where she started as a media researcher. Karin combines strategic vision with operational excellence and consistently drives data-driven innovations forward.

Past appearances by Karin:

Munich, October 14, 2025

Topic: Scaling AI, Empowering Brands – Mastering the AI-Driven Transformation Without Losing the Human Touch

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Karin's Topics

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The Future of Media & AI

The transformative effects of artificial intelligence and data on the media industry are enormous. From content personalization to predictive analyses, AI-powered technology is changing the customer experience and fundamentally redefining the role of media agencies. In the coming years, important trends, challenges, and opportunities will profoundly influence the way media companies operate and set the direction for the coming decade. Artificial intelligence is increasingly becoming a central driver of strategic decisions – from creative development through automated media buying processes to the real-time adaptation of campaigns. The ability to efficiently analyze vast amounts of data enables brands to understand target audiences more precisely and deliver individual content at the right moment on the right channels. At the same time, this data-driven transformation requires new skills, ethical guidelines, and a deep understanding of data protection and transparency. Media companies that intelligently connect technology and creativity will be the ones who successfully differentiate themselves long-term and build sustainable relationships with their target audiences.

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(De) Centralized Data Platforms of the Media Industry

The use of centralized and decentralized data platforms has the potential to increase operational efficiency and drive innovations forward. In the media industry, these platforms can help companies master the complex challenges of data management in a global enterprise. They enable improved collaboration and optimize decision-making by giving access to relevant data at both centralized and decentralized levels. Furthermore, hybrid data architectures create the foundation for greater agility and scalability in an increasingly data-driven media landscape. While central platforms standardize security and governance, decentralized systems allow individual teams to react flexibly to local market requirements and specific customer needs. This balance between control and autonomy not only promotes efficiency, but also creativity and innovative strength within the organization. Long-term, companies that deploy data platforms strategically can optimize their value chains, develop data-based business models, and position themselves as technology leaders in competition.

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Data-Driven Decision-Making - From Insights to Impact in a Global Economy

In a time of rapid global change, the ability to make data-based decisions is a central key to economic success. This session examines how companies from different industries can convert data insights into strategic measures. Participants learn how data-driven approaches can contribute to optimizing processes, strengthening customer loyalty, and promoting sustainable growth – in order to remain successful long-term in an increasingly competitive world. The session also demonstrates practically how data-driven organizations can realize competitive advantages through the targeted use of analytics, artificial intelligence, and automation. Using concrete best practices, it becomes clear how data can be used as a strategic resource – from the early recognition of market changes to the precise prediction of customer needs. A particular focus is on the interlinking of technology, culture, and leadership to establish a data-oriented mindset throughout the company. Data competency is thus not just a technical ability, but a decisive foundation for innovation capability, resilience, and sustainable success in tomorrow's economy.

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