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
Aug 13, 2025 • 53min
AI Agents in Engineering
Peter Seeberg talks to Ram Seetharaman, Head of AI & Product Manager at Synera about Building your first digital engineer.
Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.
We thank our partner SIEMENS
Aug 6, 2025 • 24min
The future of CAD - an Indian Perspective
Pravin Waghmare, CEO of Prescient and an expert in CAD and PLM, shares insights from his engineering journey. He discusses the dramatic evolution of CAD from an Indian perspective, emphasizing AI's transformative role in streamlining workflows. Pravin highlights the competitive landscape shifts in CAD, CAM, and PLM driven by AI, as well as India's aspirations in industrial AI. He also examines the nation's infrastructure challenges and future prospects in chip production, showcasing innovative AI applications in manufacturing.
Jul 30, 2025 • 47min
The sleeping giant awakens - Industrial AI education in India
We talked to Harish Thampi. He works as a ML Solution Architect for Tata Consultancy Services. The company provides IT services and generates approximately US$28 billion in revenue.
Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.
We thank our partner SIEMENS
Jul 23, 2025 • 50min
How Audi uses LSTM in resistance spot welding
Audi has taken quality control of weld spots in body construction to a new level in Neckarsulm.
Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.
We thank our partner SIEMENS
Apple paper
https://arxiv.org/abs/2507.13575
Jul 16, 2025 • 60min
Accenture's approach to GenAI in engineering
Peter Seeberg spoke with Vlad Larichev Industrial AI Lead at Accenture about Agents, LLMs and AI for Engineering Tasks.
Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.
We thank our partner SIEMENS
Jul 9, 2025 • 38min
How to schedule the shopfloor with AI
Rico Knapper is the CEO of Pailot and loves PCBs shopfloors. Why? Because his AI based solution outperforms other approaches. We met him at Siemens.
Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.
We thank our partner SIEMENS
Jul 2, 2025 • 40min
300 episodes Industrial AI
Boris Scharinger, known as Mr. Industrial AI, and physicist Robert Gomez-Reino dive into the transformative world of industrial AI. They explore the significance of federated learning in maintaining data confidentiality while boosting productivity. The duo discusses the integration of generative AI and multi-agent systems, addressing challenges faced in legacy systems. They highlight the evolution of AI in industrial environments and its implications for workforce dynamics, ultimately emphasizing the crucial balance between technology and human oversight.
Jun 25, 2025 • 35min
Richard Socher: LLMs might be the CPU
Richard Socher, a leading AI researcher and founder of u.com, dives into the transformative power of large language models in business. He discusses how these models are evolving into the CPUs of the future, driving efficiency in sectors like manufacturing. The conversation highlights the challenges of AI integration, regulatory hurdles, and the importance of domain-specific data in automating knowledge work. Socher also emphasizes the role of open-source in enhancing AI capabilities, painting an optimistic picture for the technology's future in enterprises.
Jun 18, 2025 • 32min
Process Industry: PlantGPT from India
In this engaging conversation, Praveen Kapse, Vice President at Tridiagonal Solutions, shares insights on revolutionizing the process industries with AI. They delve into how PlantGPT enhances manufacturing operations and maintenance efficiency. Kapse discusses the impact of autonomous solutions in tackling workforce shortages, and the shift from reactive to prescriptive analytics. He emphasizes the importance of modular integration in engineering solutions and the growing relevance of edge computing in AI applications. A thought-provoking dialogue on the future of industrial AI!
Jun 11, 2025 • 52min
MAN Dataset for Trucks
Felix Fendt, a PhD student at the Technical University of Munich, along with Florian Ruch and Farisha Rizwin from MAN, dive into groundbreaking advancements in autonomous trucking. They unveil the MAN TruckScenes dataset, the first publicly available sensor and driving data for autonomous vehicles. The trio discusses the challenges and innovations in trucking data pipelines, emphasizing the significance of real and synthetic data integration. Additionally, they highlight the need for open-source collaboration to tackle hurdles in autonomous driving technology.
