Industrial AI Podcast
Robert Weber / Peter Seeberg
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.
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.
Episodes
Mentioned books
Dec 3, 2025 • 46min
Why Robots Need an Ear: The Sound of Industry
Dr. Finnur Pind, Co-founder and CTO at Treble Technologies, dives into the revolutionary world of synthetic sound data. He explains how simulating sound enhances robotics, enabling smarter machines with spatial awareness. The conversation uncovers the hurdles of accurate sound modeling and how sound could redefine AI applications beyond traditional text processing. Finnur also highlights Reykjavik's vibrant AI scene and Treble's vision for expanding audio-driven innovations in various industries.
11 snips
Nov 26, 2025 • 41min
Numerical Machine Learning: Where Physics Meets AI
Oliver Niggemann, a Professor of Computer Science in Mechanical Engineering at Helmut Schmidt University, delves into the fascinating intersection of numerical machine learning and engineering. He reveals how this fusion is transforming everything from diagnosing issues in the International Space Station to optimizing bridge designs. The conversation highlights the revolutionary role of surrogate models in speeding up simulations, AI-driven automated design workflows, and the critical need for interdisciplinary collaboration in today's engineering education.
13 snips
Nov 19, 2025 • 55min
Physics and Causality in Robotics
Join Professor Stratis Gavves from the University of Amsterdam, an expert in physics-informed robotics, as he delves into the critical role of physics and causality in robot learning. Discover why traditional robot manufacturers struggle with adopting advanced world models, and how integrating multimodal data can lead to more explainable and efficient robots. Stratis also predicts a future of specialized models versus a universal one, exploring the balance between edge and cloud architectures for optimal robotics performance.
Nov 12, 2025 • 40min
MathWorks and the evolution of AI in engineering
Richard Rovner, Vice President of Marketing at MathWorks with a 25-year tenure, dives into how AI has transformed engineering. He traces the evolution from 90s neural networks to today's AI copilots and model-based design. Richard shares insights on the significance of generative AI and the crucial human role amid automation. He discusses real-world applications like Coca-Cola's machine learning innovations and the upcoming Simulink Copilot. As engineering roles evolve, he highlights the need for AI literacy and cross-discipline collaboration in this rapidly shifting landscape.
Nov 5, 2025 • 46min
No GenAI without a Data Science Team
Gabriel Krummenacher, Director of data science at Zühlke, delves into the complexities of industrial AI adoption. He discusses a survey revealing that operational efficiency is the top impactful AI use case. Gabriel emphasizes the necessity of strong data science teams to leverage GenAI, noting that ethical frameworks significantly enhance success rates. He highlights differing regional approaches to AI and stresses the importance of measurable KPIs and leveraging internal data for impactful custom applications. Tune in for insights on how to navigate the AI landscape effectively!
Oct 29, 2025 • 44min
The "Schalker Jung" at Gemini
Timo Gessmann, CTO of Schunk, discusses blending mechanical design with AI to enhance robotics and the challenges of recruiting top talent for industrial AI roles. He emphasizes the need for strong European robotic models and outlines Schunk's vision for automation. Phillip Lippe from Google DeepMind shares insights on generative AI and the importance of foundation models in creating domain-specific intelligence. They also explore the future of AI scaling, hybrid architectures, and the potential safety implications in applications across various industries.
6 snips
Oct 22, 2025 • 49min
AI in the Forest 2: From Annotation to Automation
Jakub Tomczak, a senior research scientist at the Chan Zuckerberg Initiative and former professor, dives into the fascinating world of generative AI. He discusses how time series analysis represents the next frontier for AI, emphasizing its importance in understanding sequences and making predictions. Jakub challenges traditional machine learning paradigms and advocates for continuous learning systems that can adapt dynamically. Also explored are the implications of LLMs as tool-call interfaces and the critical need for high-quality data in AI applications.
Oct 15, 2025 • 34min
AI and spot welding inspection: Reinventing Quality Control
In this engaging discussion, Christian Wagner, Managing Director at Vogt Ultrasonics, and Jan Kutnik, Founder of Evoptima, delve into how AI is transforming spot weld inspection in the automotive industry. They tackle the challenges of massive ultrasonic datasets and share how AI enhances prediction accuracy by 20-30%. The duo explores the integration of AI with next-gen inspection devices and the role of collaborative robots. They also discuss the value of robust partnerships and courageous innovation for mid-sized companies navigating AI adoption.
6 snips
Oct 8, 2025 • 47min
The Welding World Model
Andy, the co-founder and CEO of Path Robotics, shares insights from his groundbreaking work in AI-driven welding robots. He discusses the importance of adaptability in manufacturing and how real-world data significantly enhances AI performance. The conversation reveals how Path's Obsidian model integrates multimodal sensors—using everything from sound to vision—for precision. Andy also highlights the challenges of training robots on diverse materials and the impressive outcomes, like a 98% first-pass yield, demonstrating the future of robotics in industry.
13 snips
Oct 1, 2025 • 46min
The OPC UA MCP Server
In this engaging discussion, Armin Hadzalic, a Senior Software Developer at Siemens, shares his insights on the transformative Model Context Protocol (MCP) for industrial AI. He explains how MCP connects large language models with real-world data and tackles the challenges of integrating multiple systems. Armin delves into the future of seamless production systems powered by agents and AI, while also addressing criticisms of MCP. With practical advice for engineers, he advocates for an early embrace of these technologies to stay ahead in an evolving industry.
