The Data Playbook Podcast
The Data Playbook Podcast
Podcast Description
🎙️ The Data Playbook is a podcast where we aim to build a playbook for data leaders. We do that through a series of interviews with other data leaders, data practitioners and data experts. In each episode, we break down real-world data challenges: from building modern architectures and embracing Data Mesh to navigating cloud sovereignty, we help you make smarter decisions one play at a time.
Podcast Insights
Content Themes
The podcast centers around themes such as data architecture, AI governance, and technical debt, with episodes tackling specific issues like the pitfalls of generative AI, the principles of Data Mesh, and cloud sovereignty. For example, one episode explores the dangers of treating LLMs as tools without proper oversight, while another discusses how to construct a modern data architecture in the age of misinformation.
🎙️ The Data Playbook is a podcast where we aim to build a playbook for data leaders. We do that through a series of interviews with other data leaders, data practitioners and data experts. In each episode, we break down real-world data challenges: from building modern architectures and embracing Data Mesh to navigating cloud sovereignty, we help you make smarter decisions one play at a time.
Agentic AI is changing how we build software, manage data, conduct research, and learn new skills.
But as AI takes over more cognitive tasks, a fundamental question emerges: what capabilities do humans still need to develop themselves?
In this episode, Kris Peeters sits down with Frank Neven, Professor of Computer Science at Hasselt University and Vice Director of the Data Science Institute, to discuss the future of data engineering, AI-assisted learning, database systems, and human-AI collaboration.
The conversation explores:
- Why understanding remains essential in an AI-driven world
- How universities are adapting to AI-powered education
- What the latest database research tells us about the future of data platforms
- The rise of agentic coding and AI-native software development
- How AI is transforming scientific research
- Why structured knowledge and semantic data are becoming more valuable
This episode is particularly relevant for data leaders, CIOs, CDOs, architects, and engineering teams navigating the rapid evolution of AI.
🌐 More at https://www.dataminded.com/
#DataEngineering #AgenticAI #DataLeadership #ArtificialIntelligence
Chapters:
00:00 From Theory to Data Engineering
03:20 AI and Healthcare Data Integration
06:00 The Data Science Institute in Practice
19:00 Why Computer Science Education Matters
25:40 AI in Education: Opportunity and Risk
35:00 You Can Outsource Reasoning, Not Understanding
38:45 Agentic AI and the Future of Databases
45:50 How AI Is Changing Research
51:45 Personal AI Systems and Knowledge Management
59:30 Staying Open-Minded in Technology
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