Podcast
Industrial AI Podcast
Hosted by Robert Weber / Peter Seeberg · EN
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.
22episodes
Episodes
Newest firstAll episodes
Governed Autonomy: Why Edge AI Needs Guardrails
Yesterday00:53:27Tap to summarizeDiscover how local policy enforcement is reshaping industrial AI safety. What happens when your smart machines lose their connection? 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. Federant https://federant.com/ EU AI Act https://artificialintelligenceact.eu/ GE Fanuc https://www.geautomation.com/ Intel https://www.intel.com/ Modicon 084 https://en.wikipedia.org/wiki/Programmablelogiccontroller#History Starlink https://www.starlink.com/ Deloitte 'Physical AI: The Moment of Acceleration' https://www2.deloitte.com/global/en/insights/industry/technology/physical-ai.html Edge AI Foundation https://www.edgeaicouncil.org/ Wevolver https://www.wevolver.com/ ADI Engineering https://www.linkedin.com/company/adi-engineering/ IEEE https://www.ieee.org/
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Mistral acquires NXAI spin-off Emmi AI / API Calls
2d ago00:43:00Tap to summarizeUnlocking value beyond APIs—where industry creativity, killer apps, and agentic engineering collide. Are we ready for the future? 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. SAP https://www.sap.com/ NXAI https://nx-ai.com/ Mistral AI https://mistral.ai/ Simcon https://www.simcon.com/ OpenAI https://openai.com/ Anthropic https://www.anthropic.com/ AWS Industrial Fund https://aws.amazon.com/industries/industrial/ Claude (Anthropic) https://www.anthropic.com/claude BMW https://www.bmw.com/ DeepSeek https://www.deepseek.com/ Quen https://github.com/QwenLM/Qwen Siemens https://www.siemens.com/ Beckhoff https://www.beckhoff.com/ B&R Industrial Automation https://www.br-automation.com/ CODESYS https://www.codesys.com/ Rockwell Automation https://www.rockwellautomation.com/ ISA-88 (Batch Control Standard) https://www.isa.org/standards-and-publications/isa-standards/isa-88-batch-control IEC 61131-3 https://en.wikipedia.org/wiki/IEC_61131-3 Module Type Package (MTP) https://www.process-worldwide.com/what-is-module-type-package-mtp-a-1053341/ Box.com https://www.box.com/ Accenture https://www.accenture.com/ Fraunhofer Society https://www.fraunhofer.de/en.html AI Association (Industrial AI Network) https://ai-association.com/ Boris Scharinger https://www.linkedin.com/in/boris-scharinger-2b8a8b1/ Industrial AI: From Pilot to Profit (Book) https://www.springer.com/gp/book/9783031533439
Transcribe →Exclusive News Delay
1w ago00:01:25Tap to summarizeA special episode postponed for breaking news—find out why you won't want to miss Friday's reveal. 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.
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The CAD AI Hype!?
2w ago00:27:50Tap to summarizeCan generative AI finally democratize industrial design? We explore with Dr. Christian Heining breakthroughs, challenges, and the future of CAD with AI. 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. NXAI https://nx-ai.com/ CAD Paper https://arxiv.org/abs/2604.16170v1 Anthropic https://www.anthropic.com/ Autodesk Fusion https://www.autodesk.com/products/fusion-360/overview Onshape https://www.onshape.com/ Dassault Systèmes https://www.3ds.com/ OpenAI https://openai.com/ Gemini (Google AI) https://deepmind.google/technologies/gemini/ Opus 4.7 (OpenAI Model) https://platform.openai.com/docs/models/gpt-4o Andrej Karpathy https://karpathy.ai/
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HM26: Whitelabeled AI and the hope for the API
3w ago00:38:41Tap to summarizeUnpacking the buzz, the business, and the challenges of authentic industrial AI innovation. Is the industry losing its edge? 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.
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Causal AI on the shopfloor
4w ago00:36:19Tap to summarizeFrom Swiss chocolate to global factories, discover how AI is turning industrial data into real manufacturing intelligence. 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. Siemens https://www.siemens.com/global/en.html ETH Zurich https://ethz.ch/en.html World Economic Forum (WEF) https://www.weforum.org/ Bosch https://www.bosch.com/ Lindt & Sprüngli https://www.lindt-spruengli.com/ Knowledge Graph https://en.wikipedia.org/wiki/Knowledge_graph Causal AI https://www.causal.ai/ Computer Vision https://en.wikipedia.org/wiki/Computer_vision Process Mining https://en.wikipedia.org/wiki/Process_mining Siemens Accelerator Marketplace https://siemens.com/accelerator Spurious Correlations (Book) https://www.tylervigen.com/spurious-correlations MES (Manufacturing Execution System) https://en.wikipedia.org/wiki/Manufacturingexecutionsystem OPC UA https://opcfoundation.org/about/opc-technologies/opc-ua/ MQTT https://mqtt.org/
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Data, Memory, Gyms and Models - NEURA's strategy
Apr 1500:51:44Tap to summarizeExplore how real-world data, memory, and multi-modal AI are shaping the next wave of robotics. Dive into the future with us. 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. Siemens https://new.siemens.com/global/en.html SAP https://www.sap.com/ NVIDIA https://www.nvidia.com/ Bosch https://www.bosch.com/ Schaeffler https://www.schaeffler.com/ Neura Robotics https://www.neura-robotics.com/ Google DeepMind https://deepmind.google/ Agile Robots https://www.agile-robots.com/ KraussMaffei Automation (formerly T-Sync Group Automation Engineering) https://www.kraussmaffei.com/en/automation DLR (German Aerospace Center) https://www.dlr.de/EN/ Modbus https://modbus.org/ LLM Arena https://llmarena.com/ FETH Bench https://fethbench.com/ GiftEval https://gifteval.com/ Anthropic https://www.anthropic.com/ World Models (AI concept) https://worldmodels.github.io/
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The End of Data Leakage
Apr 800:24:06Tap to summarizeWhy Data Leakage Threatens AI Benchmarks—and How We're Fixing It. Discover the future of reliable model evaluation. 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/
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Autonomous CNC programming!?
Apr 100:43:47Tap to summarizeFrom shop floor autonomy to data-driven disruption – exploring the breakthroughs shaping tomorrow’s manufacturing. Discover how AI is transforming precision machining. 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.
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Can AI Agents Really Run the Factory?
Mar 2500:51:28Tap to summarizeExploring the real impact of GenAI and agents in industrial automation. Are we ready for hands-off production? 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.
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