In this episode, I sit down with Steven Yates, CTO and co-founder of Federant, to dive deep into the urgent need for runtime governance in edge AI. Drawing on decades of experience in embedded systems and PLC design, Steven reveals why the shift to the edge demands more than just powerful inference—it requires robust, local authority to keep operations safe when connectivity falters. We unpack real-world incidents where lack of governance led to costly mishaps, and explore how new open-source solutions are bridging the gap between cloud convenience and industrial reliability. If you think cloud SLAs are enough for industrial AI, this conversation will make you rethink the fundamentals. Join me as we explore the future of safe, autonomous operations—and why the old rules of industrial control are more relevant than ever.

https://federant.com/

https://artificialintelligenceact.eu/

https://www.geautomation.com/

https://www.intel.com/

https://en.wikipedia.org/wiki/Programmablelogiccontroller#History

https://www.starlink.com/

https://www2.deloitte.com/global/en/insights/industry/technology/physical-ai.html

https://www.edgeaicouncil.org/

https://www.wevolver.com/

https://www.linkedin.com/company/adi-engineering/

https://www.ieee.org/

In this episode, we dive deep into the evolving landscape of industrial AI, exploring why simply offering an API is no longer enough for true business value. We reconnect with leading minds behind recent billion-euro deals and discuss the journey from foundational models to real-world industrial impact. Our conversation with Davy Demeyer spotlights the creativity gap in industry, the challenges of automation standards, and what it takes to build the next killer application. We share firsthand insights from pioneers, reflect on lessons learned, and debate how agents, humans, and deterministic code generation will shape tomorrow’s factories. If you want the latest and greatest in industrial AI—and why it matters for your business—this is the episode you can't miss.

https://www.sap.com/

https://nx-ai.com/

https://mistral.ai/

https://www.simcon.com/

https://openai.com/

https://www.anthropic.com/

https://aws.amazon.com/industries/industrial/

https://www.anthropic.com/claude

https://www.bmw.com/

https://www.deepseek.com/

https://github.com/QwenLM/Qwen

https://www.siemens.com/

https://www.beckhoff.com/

https://www.br-automation.com/

https://www.codesys.com/

https://www.rockwellautomation.com/

https://www.isa.org/standards-and-publications/isa-standards/isa-88-batch-control

https://en.wikipedia.org/wiki/IEC_61131-3

https://www.process-worldwide.com/what-is-module-type-package-mtp-a-1053341/

https://www.box.com/

https://www.accenture.com/

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

https://ai-association.com/

https://www.linkedin.com/in/boris-scharinger-2b8a8b1/

https://www.springer.com/gp/book/9783031533439

It's Thursday morning and I know you're expecting a fresh episode, but today brings a twist—I have exclusive news that can't go live just yet. We're delaying our usual release by one day to bring you something truly special and timely. In the meantime, I invite you to consider joining us at this year's top AI events or reaching out for more information. Thank you for your patience and understanding as we prepare to share these exciting updates with you. I look forward to reconnecting with you tomorrow for a can’t-miss episode.

We have a new podcast partner - please welcome NXAI!

In this episode, I dive deep into the evolving world of AI-driven CAD and CAM with Dr. Christian Heining. We unpack why generative AI is capturing the attention of industrial designers and whether the latest integrations—like Anthropic’s connector for Autodesk Fusion—are truly game-changing or just another step on a long journey.

Dr. Heining shares real-world experiments, candid takes on current limitations, and what it means for both startups and big players in the industrial AI space. We discuss the speed of change, the challenges of adapting teams to new tools, and what’s still missing before AI can fully transform the machine-building industry. If you’re curious about the intersection of AI, engineering, and the future of design, this episode is a must-listen.

https://nx-ai.com/

https://arxiv.org/abs/2604.16170v1

https://www.anthropic.com/

https://www.autodesk.com/products/fusion-360/overview

https://www.onshape.com/

https://www.3ds.com/

https://openai.com/

https://deepmind.google/technologies/gemini/

https://platform.openai.com/docs/models/gpt-4o

https://karpathy.ai/

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.