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The Wonderful World of AI in Regulated Industries

Tech, Compliance, AI… Cornel van de Heiden, CTO at Blinqx, is dedicating a podcast series to these topics. Don’t expect a tightly scripted show—instead, expect lively conversations full of insights, surprising twists, and, of course, a healthy dose of enthusiasm. Cornel takes his guests on a journey through major themes and minor detours. Always energetic, sometimes a bit chaotic, but guaranteed to be inspiring.

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Episode 6

Data Sovereignty: From a Side Issue to the Boardroom.

Roel Wijnands explains why data sovereignty goes far beyond just the location where data is stored and why having an internal control framework is essential for managing risks. Finally, he shares his perspective on the impact of geopolitics and rapidly changing AI models on information security, and how organizations can adapt flexibly to address these challenges.
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Episode 5

What AI Means for How You Build Products and How You Bring Them to Market.

Jeroen shares his vision on the rapid evolution of AI agents and explains why we’re quickly moving from simple chatbots to fully integrated, AI-native workflows. Blinqx’s plans to radically revamp traditional software interfaces through a new self-learning platform and an innovative design language.
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Episode 4

Building AI into your product is easy. Selling AI isn’t.

AI makes it easier than ever to build new products. But it’s precisely that speed that also brings risks. In this episode, we’ll dive into how to truly integrate AI into your product, where things often go wrong, and why domain knowledge makes all the difference in your product’s adoption.

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Episode 3

When Autonomous AI Agents Boost Productivity.

Agentic AI is often sold as the ultimate productivity boost: systems that work independently, never take a break and keep going day and night. But in practice, you sometimes see teams working harder than before. The question here is not whether agentic AI can work. The question is when it actually delivers productivity and when it mainly introduces new complexity.
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Episode 2

AI in R&D: revolution or hot air?

Faster, smarter, cheaper – AI promises golden mountains. But what is true of that in practice? We pick up experiences from real R&D processes: from teams innovating faster to projects that hit rock bottom. A reality check for anyone who wants to use AI for innovation.
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Episode 1

Embedding AI without chunks: how to make GenAI really safe?

Everyone wants AI in their product, but how do you prevent your system from making mistakes or being misused down the road? In this episode, we explain how to safely deploy generative AI into production. Using smart techniques like Langfuse, intent filtering, and real-world monitoring, we’ll show you what works—and what to avoid.
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