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.
In this episode of the Data Playbook podcast, we dive into how publiq, the organization behind Belgium’s largest cultural event database, is building RADAR, an AI-powered framework that enriches and structures event data at scale.
Host Kris Peeters is joined by Sven Houtmeyers (CTO) and Elia Van Wolputte (Data Scientist) from Publiq, who share how their team uses LLMs, semantic parsing, and linked data to improve search, recommendations, and user experience, all while respecting publiq values like privacy, transparency, and digital inclusion.
Topics covered:
- Why unstructured data is a challenge for cultural event discovery
- How RADAR leverages LLMs for smarter enrichment and entity resolution
- From batch jobs to live services: Scaling across GCP and AWS
- Designing ethical AI in the public sector: avoiding filter bubbles and over-personalization
This is a behind-the-scenes look at how public organizations can use modern AI tools, not to manipulate users, but to empower them.
🌐 More at www.dataminded.com
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