The first half of 2025 has seen rapid progress in data, analytics, and AI. The Data Culture Podcast has followed these developments closely, sharing practical experience and strategic insights from the leaders shaping the field.
A highlight this year was the Data Culture Summit hosted by Merck, where members of our podcast community met in person for the first time. We also added a visual dimension on YouTube, giving listeners the option to watch our conversations. With more than 150 episodes now online—including 25 new releases in 2025—listening patterns reveal which topics matter most to organizations on their way to becoming truly data-driven.
1. The Evolution of Artificial Intelligence
The conversation around AI has matured from theoretical potential to practical application. This year, the focus has shifted to advanced concepts like Agentic AI, the tangible value of Generative AI, and concrete enterprise use cases. These episodes explore how organizations are moving from experimentation to strategic implementation.
Generating Value with GenAI at ZEISS
with Ben Hoyle, ZEISS Group
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Agentic AI and the future of analytics
with Nate Nichols, Salesforce
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How to build an AI strategy with business buy-in
with Emma Verhagen, Ideal Shift AI
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2. Data & Analytics in Practice
Successfully transitioning to a data-driven organization requires more than just technology. It involves fundamental decisions about organizational structure, how data is managed and delivered, and where to apply it for maximum impact.
Centralization vs. Decentralization of Data & Analytics
Live Podcast from DATA festival online 2024
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Unlocking the Power of Data Products and Data Marketplaces
with Wayne Eckerson
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Game Intelligence and multimodal generative AI
with Katja Hofmann, Microsoft
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3. Establishing a Data Culture
Without the right culture, there is no sustainable impact: This episode shows how Data Culture Leaders can inspire people for data, analytics, and AI to bring about real change.
Building a data-driven culture to develop love in data
with Anna Szelag, NHS Property Services
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4. Technological Trends & Data Architecture
New technologies, tools, and platforms are the backbone of modern Data & Analytics landscapes. The focus: Modern Data Stack, Data Engineering, central and decentralized data organization, and innovative solutions.
Trends in Data Engineering – from AI to Automation
with Joe Reis
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5. Education and Enablement
The best technologies are of little use without qualified people. This is about how companies build Data & AI Academies and create a sustainable learning culture – and why many still have catching up to do in training.
Building a Data and AI academy from scratch
with Jasmin Weimüller, BASF
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Educating your management for AI success
with Bostjan Kozuh, AGI Institute
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Conclusion
The breadth of topics covered on the Data Culture Podcast mirrors the central challenges and opportunities facing data-driven organizations in 2025. From technological innovation and hands-on culture work to applied AI practice, the series offers practical perspectives for professionals looking to advance data and AI initiatives in their organizations.