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Industrial AI Podcast

Industrial AI Podcast

Hosted by Robert Weber / Peter Seeberg

TechnologyManagementScienceInterviews guestsExplicit

Episodes

358

Latest episode

Oct 2026

Language

EN

About the show

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.

Listen to episodes

60 recent
October 21, 2026Episode 35927 min

The Navier–Stokes Problem and the Agents

Did OpenAI really solve the Navier–Stokes problem? In this episode, we ask mathematician Gonzalo Caolabora. and AI professor Günter Klambauer what the proof means, why it has been difficult to verify, and whether large language models are discovering mathematics or combining ideas from existing research. We also discuss why AI can excel at problems with verifiable answers, where today’s systems still struggle, and how AI could reshape mathematical research and careers. The big question: as proofs become more automated, what will mathematicians focus on next?

October 14, 2026Episode 3581 hr 4 min

Time Series: The Most Underrated Domain in Industrial AI

We talk with Arburg’s Stefan Lamp and Werner Faulhaber about how AI is changing injection molding—from predicting process stability and quality to helping operators troubleshoot machines. They explain why time-series foundation models matter, where domain expertise makes the difference, and how simulation can shorten the setup of a new process. We also get into the practical questions: Can agents safely recommend machine settings? What holds back cloud connectivity and predictive maintenance? And how should manufacturers measure AI’s real-world value? A grounded look at what’s working now—and what still needs solving.

October 8, 2026Episode 35739 min

PI and AI

In this episode, I sit down with David Rodriguez to explore how large language models are reshaping the way we interact with industrial data. We dive into the Pi System’s pivotal role across foundational industries and discuss practical strategies for integrating AI—without compromising sensitive operational information. David shares his experience on creating actionable knowledge graphs, running local LLMs, and the evolving relationship between human operators, agents, and data visualization. If you’re curious about the real-world challenges and future promise of AI in manufacturing, this conversation delivers clear insights and actionable takeaways. Join me as we unpack what it takes to move from data to decision—safely, efficiently, and intelligently.

September 30, 2026Episode 3561 hr 1 min

The Industrial Superintelligence Podcast

In this episode, we dive deep into the world of agentic AI and its transformative impact on industrial organizations - thanks to Jana Kirchheim from Microsoft. We share fresh insights from our conversations with industry leaders on how hyperteams—blending humans and AI agents—are changing the rules of leadership, governance, and knowledge management. You'll hear practical examples from companies like Bayer and discover how even mid-sized firms can harness agents for real business value. We discuss the challenges of orchestrating thousands of agents, building effective governance, and capturing critical tacit knowledge before it disappears. Join us as we explore what it takes to be brave, adapt, and thrive in the era of superintelligent industrial AI.

September 23, 2026Episode 35536 min

A new System for Autonomy?

In this episode, I sit down with Nathan Gruber, co-founder and CEO of Manex AI, to explore how autonomy is reshaping the way leading organizations operate. We dig deep into the challenges of legacy manufacturing models, the rise of agent-based AI systems, and why speed and feedback loops are the new competitive edge. Nathan shares his firsthand experience at BMW, the genesis of Manex AI, and how their solutions are closing the gap between customer feedback and engineering action—faster than ever before. We also discuss what true autonomy means for the future of work, the evolving role of humans alongside AI agents, and how European industry can adapt to this seismic shift. If you’re curious about the intersection of software, hardware, and organizational change—or just want a glimpse of the autonomous enterprise in action—this conversation is not to be missed.

September 16, 2026Episode 35447 min

AI Material Breakthroughs & The Missing Modality

In this episode, we dive deep into the evolving landscape of industrial AI—from the fierce competition on model leaderboards to the real-world impact of open versus closed AI systems. We question whether it’s necessary to follow every new model or if specialization is the future, using examples from industrial time series and the latest in material science. Alongside our guest Alexander Hammer from Dunia, we explore how AI and autonomous labs are accelerating the discovery of next-generation materials, bridging the gap between simulation and reality. As we reflect on what it means to 'think' in AI—beyond just language or images—we challenge listeners to consider the missing modalities shaping tomorrow’s technology. Join us for insightful stories, candid debates, and a glimpse into the frontier where AI meets the physical world.

September 9, 2026Episode 35354 min

Agents and Simulation

In this episode, I sit down with Bastiaan Oud, CEO of Simcon, to unpack the seismic changes AI is bringing to computer-aided engineering. We dive into how agentic and physics-based AI are revolutionizing everything from injection molding simulation to the very roles of engineers and software developers. Bastiaan shares real-world insights on shifting from traditional coding to orchestrating intelligent agents and how this is transforming both product development and organizational structures. If you’ve ever wondered what happens when agents — not just people — drive innovation, this conversation delivers a firsthand look. Join me as we explore the future of engineering, the evolving workplace, and why embracing these changes could be your biggest competitive edge.

September 2, 2026Episode 35252 min

NVIDIA's safety strategy

In this episode, we dive into the evolving relationship between AI and safety in the industrial world. We discuss how NVIDIA is shaping new standards for physical AI and why safety is not just a requirement, but a value driver in modern automation. You'll hear insights from Ricardo Mariani of NVIDIA on the importance of end-to-end safety frameworks, the role of simulation, and the integration of AI into robotics and machinery. We also explore the latest industry moves, from NVIDIA's acquisition of Hugging Face to trends in robotics infrastructure and global competition. Join us as we break down what it means to make AI and safety true partners in the future of industry.

July 29, 2026Episode 35124 min

Calling America - Jakub Tomczak reports

In this episode, we dig into the recent Anthropic ban and what it signals for the global AI landscape. I connect with Jakob Tomczak to get an insider’s perspective from Silicon Valley and explore how this move impacts European companies, innovation, and the future of AI ecosystems. We also share firsthand impressions of the latest LLMs, debate whether true AI revolutions are on the horizon, and discuss the challenges Europe faces in scaling up. If you’re curious about the real dynamics behind AI development, hardware, and the shifting balance of power in tech, this conversation is for you.

July 22, 2026Episode 35040 min

Autonomous Data Science!?

In this episode, we dive deep into the world of autonomous AI for data science with Doudou BA, CEO and founder of Octopus. I explore how Octopus is transforming raw data into actionable business decisions using advanced time series foundation models and agentic AI. We discuss the unique reasoning capabilities of Octopus, its intuitive approach for non-technical users, and how it stands apart from traditional AutoML solutions. Along the way, I share insights from VivaTech in Paris, including thought-provoking moments with industry leaders like Yann LeCun and Jeff Bezos. Join us as we reimagine the data science workflow and uncover what’s next for AI-powered business intelligence.

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