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.
What does it take to listen to the universe?
In this episode of The Data Playbook, Kris Peeters talks with Tjonnie Li, Professor at KU Leuven, about gravitational waves, black hole collisions, and the massive data challenge behind the Einstein Telescope.
They explore how modern science is becoming deeply data-driven, why the next generation of research infrastructure will need to operate like a science factory, and how AI, automation, and large-scale compute could become essential for turning petabytes of raw data into scientific discovery.
This episode covers:
- what gravitational waves are and why they matter
- how black hole collisions are measured
- why the Einstein Telescope could transform European science
- the data, compute, and storage challenge behind next-gen physics
- what academia can learn from industry about automation and orchestration
- how AI agents could support future scientific discovery
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#DataEngineering #AI #GravitationalWaves #EinsteinTelescope #BigData #ScientificComputing #ResearchInfrastructure #DataPlaybook
Chapters:
00:00 Intro: Tjonnie Li joins The Data Playbook
02:08 What gravitational waves are – in plain English
05:19 Why science is becoming data-driven
11:28 How we measure black hole collisions today
15:50 The Einstein Telescope: ambition, timeline, and European bid
19:44 The data infrastructure challenge: from terabytes to petabytes
30:56 AI, automation, and the idea of a “science factory”
38:50 Why this matters for Europe, innovation, and society
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