Industrial AI Podcast | Lyssna podcast online gratis

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Agents, Molecules & the SaaS-mageddon
2026-2-18 | 46 min.
In this episode, we dive into the seismic shifts happening in industrial AI, from the so-called 'SaaS-mageddon' disrupting established software models to the rise of AI-powered agents that promise to redefine productivity. We share first-hand insights on how large language models and open-source projects are reshaping the landscape, and what this means for the future of industry solutions.

We then turn to the frontier of pharmaceutical innovation with Stanisław Jastrzębski, CTO & Co-Founder from molecule.one, who reveals how deep learning, automation, and custom data are accelerating drug discovery. Join us as we connect the dots between industrial AI trends, the evolution of personal assistants, and the chemistry breakthroughs powering tomorrow’s medicines. Tune in for a global perspective and a dash of inspiration straight from the heart of Istanbul.
What means Industrial Grade AI for Bosch?
2026-2-11 | 48 min.
In this episode, I sit down with Norbert Jung, CEO of Bosch Connected Industry, to explore the evolving landscape of manufacturing co-intelligence. We dive into how AI agents and data are reshaping factories, why human expertise remains irreplaceable, and what 'industrial grade' really means in this new era. Norbert shares practical examples from Bosch's own production lines, debunks common myths, and explains how semantic data and agentic AI are driving real-world results. We also tackle the challenges of scaling innovation, the future of lights-out factories, and why Europe's workforce transformation is both a necessity and an opportunity. If you want an inside look at the practical side of AI in industry—and what it means for the people behind the machines—this conversation delivers fresh perspective and actionable insights.
Bridging the gap between factory data and agents
2026-2-04 | 1 h 6 min.
In this episode, we journey from weather woes in Franconia straight into the heart of Amsterdam’s AI innovation, exploring what happens when robotics, world models, and agentic AI collide. We share our firsthand impressions from deep-dive research sessions at Lab42, where startups and researchers are joining forces to push industrial AI forward. You'll hear my conversation with John Harrington of HighByte, who breaks down the role of MCP services and why they’re critical for bridging the gap between factory data and intelligent agents.

We don’t just talk tech—we talk about the people, the practical challenges, and the evolving landscape that’s making industrial data accessible to everyone, not just engineers. If you’re curious about how symbolic AI, digital cousins, and scalable architectures are transforming manufacturing, or you want to know what’s next for AI in the Alps, this episode is your front-row seat. Tune in for insights, laughs, and a clear-eyed look at the road ahead for industrial-grade AI.
AI module that sits between the sensor and host
2026-1-28 | 42 min.
In this episode, I dive deep into the future of industrial AI with Andreas de Jonge, exploring how inline AI is reshaping real-world manufacturing. We discuss why tailored, ultra-efficient AI models can outperform bulky, generic solutions—especially in Europe’s highly specialized industries. Andreas shares how his company’s EdgeBrain device brings intelligence directly to the data stream, enabling plug-and-play integration and unprecedented robustness for even the oldest production lines. Together, we unpack the challenges of brownfield integration, the power of synthetic data, and the path to true European digital sovereignty. If you’re curious about the next wave of industrial automation and what it means for productivity, this conversation is not to be missed.
After the cucumbers AI - a robot for industrial applications
2026-1-21 | 43 min.
In this episode, we dive into the evolution of AI robotics, exploring how lessons from cucumber-picking robots are now revolutionizing industrial inspection. We sit down with Wouter from VBTI to unpack the journey from complex greenhouse challenges to the development of Adam One—an inspection robot that doesn’t just automate, but truly understands the task at hand.

We reflect on the unique technical hurdles, the fusion of multiple AI models, and the potential for scalable, domain-specific foundation models. As always, we bring our authentic curiosity and skepticism to the latest industry trends, from federated learning revivals to the shifting boundaries of edge and cloud AI. Join us for a conversation that connects practical innovation with the big questions shaping industrial AI.

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Om Industrial AI Podcast

The Industrial AI Podcast reports weekly on the latest developments in AI and machine learning for the engineering, robotics, automotive, process and automation industries. The podcast features industrial users, scientists, vendors and startups in the field of Industrial AI and machine learning. The podcast is hosted by Peter Seeberg, Industrial AI consultant and Robert Weber, tech journalist.Their mission: Demystify Industrial AI and machine learning, inspire industrial users. The hosts: Peter Seeberg is an Industrial AI and machine learning expert for the manufacturing industry. He worked over 25 years in IT (Intel) and 10 years in Automation. He co-initiated the Industrial Data Intelligence Startup (Softing) where he was responsible for managing machine learning projects in industrial environments. Today he advises companies when it comes to Industrial AI and machine learning. Together with Robert Weber, journalist for industrial topics, he discusses AI and ML applications, standards, and education topics, make or buy decisions as well as regulation for AI in manufacturing.

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