Industrial AI Podcast

We’re seeing an explosion of AI in engineering: models turning drawings into 3D designs, agents helping create plant layouts, and new tools challenging the way engineers work. So where will the value come from next—engineering software, AI platforms, or the context data behind them? I also explore whether agents could leap across the traditional automation pyramid and connect directly with industrial systems.

Then I talk with Bosch’s Thorsten Brach about connecting AI agents to industrial robots using MCP, MHS, and SRCI. We get practical about robot integration, deterministic PLC functions, and why wheeled robots may arrive in factories before legged humanoids. The big question: how do we make these systems easier to use without losing the expertise needed to keep them safe and reliable?

https://www.bosch-manufacturing-solutions.com/

https://www.profibus.com/technology/srcI

https://modelcontextprotocol.io/

https://www.iec.ch/standards

https://opcfoundation.org/about/opc-technologies/opc-ua/

https://www.boschrexroth.com/en/us/products/product-groups/automation/ctrlx-automation/

https://www.nvidia.com/gtc/

https://www.autodesk.com/

https://benchcat.org/

Did OpenAI really solve the Navier–Stokes problem? In this episode, we ask mathematician Gonzalo Caolabora and AI professor Günther 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?

https://openai.com/

https://www.claymath.org/millennium/navier-stokes-equation/

https://lean-lang.org/

https://www.math.ucla.edu/~tao/

https://www.epfl.ch/

https://www.jku.at/en/

https://arxiv.org/abs/1706.03762

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.

https://www.se.com/

https://www.ptc.com/

https://www.aveva.com/

https://www.fakuma-messe.de/en/

https://www.arburg.com/en/

https://www.nx-ai.com/

https://en.wikipedia.org/wiki/Federated_learning

https://opcfoundation.org/about/opc-technologies/opc-ua/

https://modelcontextprotocol.io/

https://www.plus10.de/

https://github.com/features/copilot

https://mistral.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.

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.

Thanks to our Partner NXAI

AI Slop Jürgen Schmidhuber

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.

Thanks to NXAI

https://www.bmwgroup.com/

https://en.wikipedia.org/wiki/Semantic_Web

https://www.tesla.com/

https://www.siemens.com/

https://mistral.ai/

https://www.anthropic.com/

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.

Thanks to our Partner NXAI

OPN by WITRON

https://openai.com/

https://www.anthropic.com/

https://gemini.google.com/

https://ai.meta.com/

https://www.zhipuai.cn/

https://damo.alibaba.com/labs/ai/

https://deepseek.com/

https://x.ai/

https://www.siemens.com/global/en.html

https://www.nvidia.com/en-us/ai-data-science/

https://www.simcon.com/

https://www.fraunhofer.de/en.html

https://www.dunia.ai/

https://staff.fnwi.uva.nl/m.welling/

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.

https://www.simcon.com/

https://www.simcon.ai/en/solutions/cadmould-api-toolkit

https://en.wikipedia.org/wiki/Injection_moulding

https://en.wikipedia.org/wiki/Autonomous_agent

https://en.wikipedia.org/wiki/Physics-informed_neural_networks

https://en.wikipedia.org/wiki/Transformer_(machine_learning_model)

https://www.anthropic.com/product

https://openai.com/research/publications/codex

https://www.figma.com/

https://www.mckinsey.com/capabilities/mckinsey-digital/overview

https://me.ai/

https://mistral.ai/

https://karpathy.ai/

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.

Bosch Event

https://www.boschrexroth.com/en/de/company/trade-shows-and-events/events/expert-days-logistics-9344.html

Agilox Event

https://www.agilox.net/en/techtalks/

Anthropic Standard

https://www.anthropic.com/news/model-hardware-standard-research-preview

https://www.nvidia.com/

https://developer.nvidia.com/halos

https://huggingface.co/

https://opcfoundation.org/

https://www.anthropic.com/

https://www.anthropic.com/news/model-hardware-standard

https://artificialintelligenceact.eu/

https://opcfoundation.org/about/opc-technologies/opc-ua/

https://en.wikipedia.org/wiki/Jensen_Huang

https://www.kiongroup.com/en/

https://www.bosch.com/

https://www.agilox.net/

https://www.unitree.com/

https://www.schaeffler.com/

https://www.neura-robotics.com/

https://www.iso.org/standard/69883.html

https://www.iso.org/standard/56546.html

https://www.tuv.com/world/en/

https://www.nvidia.com/gtc/

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.

More about NXAI (here)