Data & AI Culture Podcast

"A solid data foundation was not essential for early AI prototypes and pilots. But it is critical for scaling AI across the enterprise."

In the first episode of our market update series this year, Shawn Rogers and Carsten Bange break down what's changing right now in data, AI, and analytics: Europe's push for data sovereignty, why data quality has become the #1 blocker for scaling AI (19% → 55%), and why AI delivery is shifting from IT-led rollouts to business-owned execution.

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Carsten Bange: <https://barc.com/team/dr-carsten-bange/>

Shawn Rogers: <https://barc.com/team/shawn-rogers/>

BARC on LinkedIn: <https://tinyurl.com/4j96bfnf>

Stay up to date with our newsletter: <https://tinyurl.com/3ft3vpxv>

"We might spend a lot of time trying to define a role that will change within a month."

AI is reshaping data and AI teams: roles are converging, project teams are assembled flexibly, and agents are becoming an increasingly important interface for data access and self-service analytics. Angelita Frozza Sanches, Data Engineering Manager at Scout24, explains how an AI-powered data and context catalog speeds up migrations, reduces cognitive overhead, and helps leaders guide teams through rapid change.

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Angelita Frozza Sanches on LinkedIn: <https://tinyurl.com/4swrcr3w>

„Data Governance war lange ein Hindernis. Jetzt ist es plötzlich ein Enabler, ein Faktor, der ermöglicht."

Drei Jahre nach seinem letzten Besuch im Data Culture Podcast ist Oliver Müller, Chief Data & AI Officer der Commerzbank, erneut zu Gast. Er teilt seine Erfahrungen zur strategischen Transformation von Data & AI in einem stark regulierten Umfeld. Oliver erklärt, wie sich bei der Commerzbank Data Governance vom "Verhinderer" zum "Enabler" entwickelt hat, warum Data Mesh und Data Products zentrale Bausteine der Datenstrategie sind und wie kreative interne Kampagnen eine breite Sensibilität für Datenqualität schaffen.

Viel Spaß beim Hören der Folge!

Carsten Bange auf LinkedIn.

Oliver Dörler auf LinkedIn.

BARC auf LinkedIn.

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"In 80 percent of cases, you need to stay in the field of classical software architecture and classical machine learning. It's too sexy to go to GenAI, but it's rather easy to make this mistake and to build a rather unstable system."

In this episode, Carsten Bange and co-host Florian Bigelmaier talk with Nikita Golovko from Siemens about the critical gap between data readiness and AI implementation in industrial settings. Nikita shares valuable insights on building a solid data and knowledge infrastructure that supports both classical AI and generative AI approaches. The conversation explores the right balance between traditional machine learning and GenAI, the importance of semantic layers, and the organizational challenges of implementing AI projects successfully.

This episode is part of our DATA Festival series, featuring speakers from our upcoming event in Munich. Stay tuned for more exciting insights from industry leaders sharing their cutting-edge projects and innovations.

Catch Nikita on stage this June at the DATA Festival Munich -- one of Europe's leading events for data, AI, and technology leaders.

Save your spot now:<[https://hubs.li/Q044Z4qG0>](https://hubs.li/Q044Z4qG0>)

Dr. Nikita Golovko on LinkedIn.

Carsten Bange on LinkedIn.

Florian Bigelmaier on LinkedIn

BARC on LinkedIn.

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"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.

Enjoy the episode!

Carsten Bange on LinkedIn.

Valerie De Naeyer on LinkedIn.

BARC on LinkedIn.\

Do you have input or feedback on the podcast? Then send us an email at: [email protected].

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!

Carsten Bange auf LinkedIn.

Charlotte Witte auf LinkedIn.

BARC auf LinkedIn.

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Ihr habt Input und Feedback zum Podcast? Dann schreibt uns eine E-Mail an: [email protected]

"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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Carsten Bange on LinkedIn.

Christophe Theys on LinkedIn.

BARC on LinkedIn.

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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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Carsten Bange on LinkedIn.

Florian Biegelmaier on LinkedIn.

BARC on LinkedIn.

Always stay up do date with our monthly Newsletter.

Do you have input or feedback about the podcast?Then send us an email at: [[email protected]](mailto:[email protected])

„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!

Carsten Bange auf LinkedIn.

Torsten Klünder auf LinkedIn.

BARC 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.

Do you want to attend SAP Innovation Talk for Platform, Data & AI? Register here.

Ole Olesen-Bagneux on LinkedIn.

Carsten Bange on LinkedIn.

BARC on LinkedIn.

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Do you have input and feedback on the podcast? Then send us an e-mail to [email protected].

Rate the podcast and leave a comment. Thank you! 😊