"You need to have both the bottom-up experimentation to learn what's possible, and the top-down business view from executive level -- what do we want to do now and in the future?"

How does GenAI change the way a 7,000-employee media company operates? Valerie De Naeyer, Head of GenAI Transformation at DPG Media België, shares her three-year journey implementing GenAI across entertainment, news, and digital media brands. From automated analytics reports and AI-powered sales chatbots to GenAI-generated video frames for streaming platforms, discover which use cases actually deliver value and what it takes to succeed. This episode offers deep insights into responsible AI implementation, the critical importance of data quality, and balancing innovation with governance in a media environment where trust is paramount.

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Data & AI Culture bei BSH: Treiber der AI Business Transformation

"Balanced Scorecards für AI müssen nicht konzernweit sein. Warum? Weil jede Abteilung mit AI eine andere Art von Wert erzeugen möchte und wird."

Wie schafft man es, in einem Unternehmen mit 57.000 Mitarbeitenden eine lebendige Data & AI Culture aufzubauen? In dieser Folge des Data Culture Podcasts spricht Carsten Bange mit Charlotte Witte, die bei BSH Home Appliances für Data und AI Culture verantwortlich ist. Sie zeigt, wie BSH mit einer Academy für acht Datenrollen, einer Community von über 3.500 Mitgliedern und innovativen AI-Readiness-Tests den kulturellen Wandel gestaltet. Besonders spannend: Warum klassische ROI-Betrachtungen bei AI Ihrer Erfahrung nach zu kurz greifen und wie alternative Methoden zur Effektivitätsmessung aussehen können. Ein Muss für alle, die Data- und AI-Transformation erfolgreich umsetzen wollen.

Viel Spaß mit der Folge!

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"Data is really the foundation for everything you do in AI and analytics. People are focusing a lot on the use cases, the AI agents, and so on -- but rolling out these solutions at scale is only possible if you have a proper data ecosystem."

In this episode, Carsten Bange sits down with Christophe, Global Head of AI, Data & Analytics at DHL Supply Chain, to explore how one of the world's largest logistics providers successfully scales AI across 180,000 employees and 3,000 warehouses worldwide. Discover how DHL combines 7,500+ robots with AI agents, machine learning, and optimization to create efficiency, resilience, and flexibility in global supply chains -- and why data, processes, and people are just as critical as the technology itself.

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"It's a special crowd. Whoever makes the way to Davos, has some reason to be there."

Besides politics and big business, AI took center stage at Davos 2026. In this special episode Florian Biegelmaier, Industry Analyst at BARC, speaks with Carsten Bange about his experience at the WEF. They discuss what the Event revealed about the future of Data & AI, covering World Models, AGI, productivity gains from Generative AI, energy demand, and digital sovereignty. A behind-the-scenes look at one of the world's most influential economic summits from a Data & AI expert's perspective.

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„Mit der Datenstrategie haben wir erkannt, dass die Nutzung von Daten als strategische Ressource einer der großen Game Changer ist."

In dieser Episode spricht Carsten Bange mit Torsten Klünder von MTU Aero Engines über die umfassende Datenstrategie eines führenden Triebwerksherstellers. Im Mittelpunkt stehen der Wandel von zentralisierten zu dezentralen Data-Analytics-Strukturen, das Konzept von Datenprodukten sowie die Herausforderungen der digitalen Transformation in einem traditionsreichen Industrieunternehmen.

Viel Spaß mit der Folge!

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Torsten Klünder auf LinkedIn.

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"The definition of insanity is repeating the same thing over and over and expecting a different result every time. That's a little bit how metadata management is often performed in companies."

In this episode of the Data Culture Podcast, Carsten welcomes back Ole Olesen-Bagneux. They talk about his new book "Fundamentals of Metadata Management" and why organizations should finally coordinate their metadata repositories.

Ole explains how innovation, regulation, and operations are three different drivers for metadata management. He also outlines why AI will make metadata management both easier and more complex, and which emerging concepts will hold up or will likely fail.

Enjoy this episode!

You can find Oles book here.

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"Always start from the end. Forget AI technology for a short while and just imagine how the end result would look like and how you would measure it. Then work backwards from there."

The AI hype is over -- now it's time to deliver measurable value. In this episode, Carsten talks with Tobias Zwingmann, AI expert and author of "The Profitable AI Advantage," about transforming AI experiments into profitable business solutions.

Tobias shares his proven frameworks for prioritizing use cases, setting realistic ROI thresholds, and building AI systems that actually work. We also learn about the four archetypes of AI solutions, giving you a practical framework for your own implementation strategy.

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„Ich kann jetzt keine Datenkultur aufbauen, die der Unternehmenskultur entgegenwirkt."

Carsten Bange skizziert die wiederkehrenden Kernpunkte zum Aufbau einer wirksamen Datenkultur in Unternehmen -- auch anhand des BARC Data & AI Culture Framework.   

Live vom BARC Data & AI Summit am 13. November 2025.

Viel Spaß mit der Folge!

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BARC auf LinkedIn.

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"I always say, you can't learn how to swim if you don't jump into the water. And it's so important for people to be able to jump into the water and to really test it out."

In this episode, Carsten Bange welcomes back Stefanie Babka, Global Head of Data Culture at Merck, for her second appearance on the podcast.

Stefanie shares Merck's journey from pulling employees toward data topics to empowering them for AI knowledge. She reveals Merck's framework for building data and AI culture: winning the head (skills), the heart (motivation), and the herd (collective behavior). Stefanie discusses an innovative "Everyday AI" campaign, the balance between speed and compliance, and the critical challenge of preparing leaders to delegate tasks to AI-augmented teams.

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"There is no AI without data. And if you want to build something that is great in AI, you should base it on something that is great in data."

In this episode, Carsten speaks with Noemi Moreno Fabelo, Head of Data Strategy and Data Architecture at Cambridge University Press & Assessment, about her practical methods for improving the use of data across a large organization. She explains how to make data more accessible, reliable, and ready for AI applications.

Noemi discusses her approach to building a data marketplace for 7,000 employees, which is founded on clear data contracts and sound engineering best practices. You will also hear why every AI application requires a dependable data product as its base.

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