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.
What this show covers
manufacturingagentic AIknowledge graphsAI agentsinjection moldingpredictive maintenancetime-series modelsPI Systemlocal LLMsknowledge managementindustrial organizationsAI governancehyperteamsautonomyEuropean industry
What listeners will find here
Why time-series AI may be the real game changer in injection molding
Injection molding is the focus here, as Arburg’s Stefan Lamp and Werner Faulhaber explore how AI can predict process stability, improve quality, and support operator troubleshooting. The conversation also digs into time-series foundation models, simulation, safe machine-setting recommendations, and how to judge real-world value.
How AI Meets Industrial Data Without Exposing What Matters Most
Industrial data and AI take center stage as David Rodriguez discusses how large language models are changing work with the Pi System in foundational industries. The episode focuses on practical ways to use AI safely, from local LLMs to knowledge graphs and better operator decision-making.
How hyperteams and agentic AI are reshaping industrial leadership
Agentic AI in industrial organizations is the focus here, with Jana Kirchheim from Microsoft helping unpack how hyperteams blend humans and AI agents. The episode looks at leadership, governance, tacit knowledge, and practical examples from companies including Bayer and mid-sized firms.
Can AI agents give manufacturing a new operating system?
Autonomy in manufacturing is the focus as Nathan Gruber of Manex AI discusses legacy industrial models, agent-based AI, and faster feedback loops. The episode connects customer input, engineering action, and the changing role of humans as organizations adapt to autonomous systems.
Where AI Meets the Physical World: Materials, Models, and the Missing Modality
Industrial AI takes center stage as the episode weighs model leaderboard hype against specialized real-world systems. With Alexander Hammer from Dunia, it explores autonomous labs, materials discovery, and the bigger question of what AI still can’t sense or understand.
Episodes
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