In this episode, we dive straight into the heart of the industrial AI landscape – beyond flashy headlines and Instagram-worthy trade shows. We tackle the uncomfortable truths behind 'white label' solutions, the real value (or lack thereof) in APIs, and why simply following the hype won't cut it for true innovation. We share our candid impressions from Hannover Messe, exploring the tension between substance and showmanship, and what it means for the future of industrial-grade AI. Plus, we sit down with Dr. Ferri Abolhassan from T-Systems to uncover how Germany's new AI Factory in Munich is aiming to rewrite the rules for secure, sovereign, and scalable AI infrastructure. Join us for honest insights, pointed critiques, and a look at where industrial AI must go next if we want to deliver real value.

In this episode, I sit down with Bernard, co-founder of Ethan AI, to explore the seismic shift happening as machines move from simply reacting to truly understanding their own processes. We dive into how knowledge graphs, causal AI, and computer vision are transforming manufacturing—from chocolate factories in Switzerland to global giants like Siemens and Bosch.

We discuss the real impact of connecting siloed industrial data, the journey from correlation to causation, and what it means for the people on the shop floor. Bernard shares concrete examples of AI-driven quality control, autonomous process optimization, and the evolving role of operators. Join me for a conversation that peeks into the future of manufacturing intelligence—and what it takes to build the digital quality engineers of tomorrow.

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

https://ethz.ch/en.html

https://www.weforum.org/

https://www.bosch.com/

https://www.lindt-spruengli.com/

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

https://www.causal.ai/

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

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

https://siemens.com/accelerator

https://www.tylervigen.com/spurious-correlations

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

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

https://mqtt.org/

In this episode, we dig deep into the evolving landscape of industrial AI, from April Fool’s pranks to real advances in robotics and automation. We break down how the line between hype and reality is blurring, and why it’s more challenging than ever to separate fact from fiction in the age of agentic AI.

We welcome Jonas Messner from Neura Robotics to unpack how their 'robot gym' is collecting real-world data, why new forms of memory and multi-modal sensing are critical, and how open platforms are redefining collaboration in physical AI. Join us as we connect industry history, current breakthroughs, and bold visions for the future—where robots learn, adapt, and even monetize their skills in dynamic environments.

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

https://www.sap.com/

https://www.nvidia.com/

https://www.bosch.com/

https://www.schaeffler.com/

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

https://deepmind.google/

https://www.agile-robots.com/

https://www.kraussmaffei.com/en/automation

https://www.dlr.de/EN/

https://modbus.org/

https://llmarena.com/

https://fethbench.com/

https://gifteval.com/

https://www.anthropic.com/

https://worldmodels.github.io/

In this episode, we dive deep into the challenges facing time series AI model leaderboards, from hidden information leakage to the complexities of benchmarking foundation models. I sit down with Marcel Meyer to unpack why traditional approaches fall short and how our new TS Arena leaderboard is setting a new standard for fair, future-proof evaluation.

We explore the pitfalls that plague current benchmarks, the surprising ways data contamination can skew results, and the innovative pre-registration protocol we've developed to keep evaluations honest. If you've ever wondered what it takes to build a truly trustworthy AI leaderboard—or why it matters for industry and research alike—this conversation is packed with insights you won't want to miss.

https://ts-arena.live/

In this episode, we dive into the cutting edge of industrial AI, from the latest advancements in large language model distillation to the transformative power of AI agents in manufacturing. I sit down with Tanmay Aggarwal, CEO of Lambda Function, for a deep conversation about autonomous CNC programming, real-time shop floor integration, and why memory and causal inference matter for the next wave of physical AI. We also unpack industry trends – from SD card AI accelerators to Europe’s strategic push for data sovereignty – and share candid thoughts on what it takes to move from AI-assisted workflows to true autonomy. If you’re curious about how AI is reshaping industrial strategy, or just want to hear how real-world manufacturing is meeting the future, this one’s for you. Join us as we connect the dots between research breakthroughs, practical deployments, and the evolving competitive landscape of industrial AI.

In this episode, I sit down with Tobias, a robotics and automation expert, to unpack what AI agents and generative AI mean for the future of industrial automation. We explore how combining human expertise with advanced agents can optimize production cycles, break down technological silos, and open new possibilities for greenfield automation projects. From hands-on case studies to the hurdles of legacy systems, we dig into what works today, what doesn’t, and where the next breakthroughs might come from.

I share insights from our own experiments—what happens when you let an AI agent optimize a real automation cell, and why, for now, human know-how still matters. If you’re curious about the practical realities of AI in production lines and what’s hype versus what’s already delivering value, this conversation is for you.

In this episode, we dive into the real-world impact of AI-powered knowledge platforms for industry. We sit down with Jakub from Zeta Alpha to uncover how companies like Festo are leveraging advanced search, RAG, and agentic AI to unlock decades of expertise buried in documents and data silos. We share practical examples, discuss integration challenges, and debate the future of specialized versus generic AI in the industrial landscape. You'll hear why trust, customization, and domain focus are key for adoption – and how European innovation is shaping sovereign AI solutions. Join us as we reveal what it really takes to turn industrial knowledge into a competitive advantage.

In this episode, we dive into the resurgence of world models in AI and explore why the industry is revisiting neurosymbolic approaches. We challenge the dominance of data-centric models and discuss how combining symbolic knowledge with machine learning could unlock new breakthroughs. Our conversation highlights Europe's unique strengths and potential as a leader in this evolving landscape. We also address the importance of domain expertise and mathematics, and question whether the current AI race is stifling real innovation. Join us for a candid discussion on what the next wave of AI could—and should—look like.

We thank our partner SIEMENS

https://new.siemens.com/global/en/products/automation/topic-areas/artificial-intelligence.html

https://openai.com/

https://www.anthropic.com/

https://www.anthropic.com/claude

https://people.idsia.ch/~juergen/

https://bair.berkeley.edu/

https://www.nextai.at/

https://me-ai.org/

https://aws.amazon.com/

https://machinelearning.apple.com/

https://www.promato.com/

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

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

https://scholar.google.com/citations?user=Phg3rFYAAAAJ&hl=en

https://icml.cc/

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

In this episode, we dive into the evolving world of industrial AI, exploring everything from CNC innovation in Tel Aviv to the surprising rise of digital cousins over traditional digital twins. We unpack how startups and established players alike are reimagining automation, robotics, and the very nature of intelligent agents on the factory floor. Along the way, we discuss the parallels between LLMs and the invention of refrigeration, ask who will become the 'Coca-Cola' of AI, and reflect on the real impact of democratizing advanced technology. Join us as we debate the future of humanoid robots, the shifting boundaries between tool and actor, and the practical challenges of bringing AI-driven agents into real-world industry. If you're curious about where industrial automation is headed—and what innovations might define the next era—this conversation is not to be missed.

In this episode, I sit down with Andre Sagodi, a manufacturing and innovation expert at Audi, to explore how artificial intelligence is transforming the car production process.

We dive into Audi’s journey from piloting AI-based crack detection in sheet metal parts to scaling these solutions across multiple global sites. Andre shares practical insights on overcoming challenges like data consistency, model scalability, and workforce collaboration, all while aligning with Audi’s strategic vision.

Together, we discuss what it really takes to turn promising AI pilots into production-ready systems that deliver real business value. If you’re curious about the future of industrial AI and want a behind-the-scenes look at innovation inside a world-class manufacturer, this episode is for you.